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The Latest Released Enterprise Mobility Management market study has evaluated the future growth potential of Global Enterprise Mobility Management market and provides information and useful stats on market structure and size. The report is intended to provide market intelligence and strategic insights to help decision makers take sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report also identifies and analyses changing dynamics, emerging trends along with essential drivers, challenges, opportunities and restraints in Enterprise Mobility Management market. The study includes market share analysis and profiles of players such as Symantec, Microsoft, IBM, Mobile Iron, Citrix Systems, Amtel, SAP, VMware (AirWatch), Good, SOTI & HyperOffice.

If you are a Enterprise Mobility Management manufacturer and would like to check or understand policy and regulatory proposal, designing clear explanations of the stakes, potential winners and losers, and options for improvement then this article will help you understand the pattern with Impacting Trends. Click To get demo PDF (Including Full TOC, Table & Figures) https://www.htfmarketreport.com/sample-report/3612768-global-enterprise-mobility-management-market-5

Major Highlights of the Enterprise Mobility Management Market report released by HTF MI

Market Breakdown by Applications: BFSI, Healthcare, Automotive, Logistics, Hospitality & Travel/Government and Defense/Telecom and IT,

Market Breakdown by Types: & Mobile Content Management (MCM) Solution

Revenue and Sales Estimation — Historical Revenue and sales volume is presented and further data is triangulated with top-down and bottom-up approaches to forecast complete market size and to estimate forecast numbers for key regions covered in the report along with classified and well recognized Types and end-use industry.

SWOT Analysis on Enterprise Mobility Management Players
In additional Market Share analysis of players, in-depth profiling, product/service and business overview, the study also concentrates on BCG matrix, heat map analysis, FPNV positioning along with SWOT analysis to better correlate market competitiveness.

Demand from top notch companies and government agencies is expected to rise as they seek more information on latest scenario. Check Demand Determinants section for more information.

Regulation Analysis
• Local System and Other Regulation: Regional variations in Laws for the use of Enterprise Mobility Management
• Regulation and its Implications
• Other Compliances

Have Any Query? Ask Our Expert @: https://www.htfmarketreport.com/enquiry-before-buy/3612768-global-enterprise-mobility-management-market-5

FIVE FORCES & PESTLE ANALYSIS:

In order to better understand Market condition five forces analysis is conducted that includes Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, Threat of rivalry.

• Political (Political policy and stability as well as trade, fiscal and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research and development)
• Legal (Employment legislation, consumer law, health and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal and sustainability)

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Heat map Analysis, 3-Year Financial and Detailed Company Profiles of Key & Emerging Players: Symantec, Microsoft, IBM, Mobile Iron, Citrix Systems, Amtel, SAP, VMware (AirWatch), Good, SOTI & HyperOffice

Geographically, the following regions together with the listed national/local markets are fully investigated:
• APAC (Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
• Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North America (U.S., Canada, and Mexico)
• South America (Brazil, Chile, Argentina, Rest of South America)
• MEA (Saudi Arabia, UAE, South Africa)

Some Extracts from Global Enterprise Mobility Management Market Study Table of Content

Global Enterprise Mobility Management Market Size (Sales) Market Share by Type (Product Category) [ & Mobile Content Management (MCM) Solution] in 2021
Enterprise Mobility Management Market by Application/End Users [BFSI, Healthcare, Automotive, Logistics, Hospitality & Travel/Government and Defense/Telecom and IT, ]
Global Global Enterprise Mobility Management Sales and Growth Rate (2017-2027)
Enterprise Mobility Management Competition by Players/Suppliers, Region, Type and Application
Enterprise Mobility Management (Volume, Value and Sales Price) table defined for each geographic region defined.
Supply Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis
……..and view more in complete table of Contents

Check it Out Complete Details os Report @ https://www.htfmarketreport.com/reports/3612768-global-enterprise-mobility-management-market-5

Thanks for practicing this article; HTF MI also offers Custom Research services providing focused, comprehensive and tailored research according to clientele objectives. Thanks for practicing this article; you can also get individual chapter wise section or region wise report like Balkan, China based, North America, Europe or Southeast Asia.

Contact US :
Craig Francis (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218
[email protected]

Tue, 21 Jun 2022 03:19:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/enterprise-mobility-management-market-is-going-to-boom-citrix-systems-symantec-microsoft
Killexams : Threat Intelligence Management Market to See Major Growth by 2028 | IBM, Dell, McAfee

Global Threat Intelligence Management Market Size Analysis 2022-2029 is latest research study released by HTF MI evaluating the market risk side analysis, highlighting opportunities and leveraged with strategic and tactical decision-making support. The report provides information on market trends and development, growth drivers, technologies, and the changing investment structure of the Global Threat Intelligence Management Market. Some of the key players profiled in the study are IBM, Dell, McAfee, Trend Micro, Symantec, Check Point.

Get free access to demo report @ https://www.htfmarketreport.com/sample-report/2444667-global-threat-intelligence-management-market-1

Threat Intelligence Management Market Overview:

The study provides comprehensive outlook vital to keep market knowledge up to date segmented by Application I, Application II, Application III & , On-premises & Cloud-based and 18+ countries across the globe along with insights on emerging & major players. If you want to analyse different companies involved in the Threat Intelligence Management industry according to your targeted objective or geography we offer customization according to requirements.

Threat Intelligence Management Market: Demand Analysis & Opportunity Outlook 2026

Threat Intelligence Management research study defines market size of various segments & countries by historical years and forecast the values for next 6 years. The report is assembled to comprise qualitative and quantitative elements of Threat Intelligence Management industry including: market share, market size (value and volume 2017-2021, and forecast to 2027) that admires each country concerned in the competitive marketplace. Further, the study also caters and provides in-depth statistics about the crucial elements of Threat Intelligence Management which includes drivers & restraining factors that helps estimate future growth outlook of the market.

The segments and sub-section of Threat Intelligence Management market is shown below:

The Study is segmented by following Product/Service Type: On-premises & Cloud-based

Major applications/end-users industry are as follows: Application I, Application II, Application III &

Some of the key players involved in the Market are: IBM, Dell, McAfee, Trend Micro, Symantec, Check Point

Enquire for customization in Report @ https://www.htfmarketreport.com/enquiry-before-buy/2444667-global-threat-intelligence-management-market-1

Important years considered in the Threat Intelligence Management study:
Historical year – 2017-2021; Base year – 2021; Forecast period** – 2022 to 2027 [** unless otherwise stated]

If opting for the Global version of Threat Intelligence Management Market; then below country analysis would be included:
• North America (USA, Canada and Mexico)
• Europe (Germany, France, the United Kingdom, Netherlands, Italy, Nordic Nations, Spain, Switzerland and Rest of Europe)
• Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India, Southeast Asia and Rest of APAC)
• South America (Brazil, Argentina, Chile, Colombia, Rest of countries etc.)
• Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Turkey, Nigeria, South Africa, Rest of MEA)

Buy Threat Intelligence Management research report @ https://www.htfmarketreport.com/buy-now?format=1&report=2444667

Key Questions Answered with this Study
1) What makes Threat Intelligence Management Market feasible for long term investment?
2) Know value chain areas where players can create value?
3) Teritorry that may see steep rise in CAGR & Y-O-Y growth?
4) What geographic region would have better demand for product/services?
5) What opportunity emerging territory would offer to established and new entrants in Threat Intelligence Management market?
6) Risk side analysis connected with service providers?
7) How influencing factors driving the demand of Threat Intelligence Management in next few years?
8) What is the impact analysis of various factors in the Global Threat Intelligence Management market growth?
9) What strategies of big players help them acquire share in mature market?
10) How Technology and Customer-Centric Innovation is bringing big Change in Threat Intelligence Management Market?

Browse Executive Summary and Complete Table of Content @ https://www.htfmarketreport.com/reports/2444667-global-threat-intelligence-management-market-1

There are 15 Chapters to display the Global Threat Intelligence Management Market
Chapter 1, Overview to describe Definition, Specifications and Classification of Global Threat Intelligence Management market, Applications [Application I, Application II, Application III & ], Market Segment by Types On-premises & Cloud-based;
Chapter 2, objective of the study.
Chapter 3, Research methodology, measures, assumptions and analytical tools
Chapter 4 and 5, Global Threat Intelligence Management Market Trend Analysis, Drivers, Challenges by consumer behaviour, Marketing Channels, Value Chain Analysis
Chapter 6 and 7, to show the Threat Intelligence Management Market Analysis, segmentation analysis, characteristics;
Chapter 8 and 9, to show Five forces (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 10 and 11, to show analysis by regional segmentation [North America, South America, Asia & Pacific, Europe & MEA (Middle East and Africa)], comparison, leading countries and opportunities; Customer Behaviour
Chapter 12, to identify major decision framework accumulated through Industry experts and strategic decision makers;
Chapter 13 and 14, about competition landscape (classification and Market Ranking)
Chapter 15, deals with Global Threat Intelligence Management Market sales channel, research findings and conclusion, appendix and data source.

Thanks for showing interest in Threat Intelligence Management Industry Research Publication; you can also get individual chapter wise section or region wise report version like North America, LATAM, United States, GCC, Southeast Asia, Europe, APAC, United Kingdom, India or China etc

About Author:
HTF Market Intelligence consulting is uniquely positioned empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist in decision making.

Contact US:
Craig Francis (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218
[email protected]

Thu, 04 Aug 2022 02:55:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/threat-intelligence-management-market-to-see-major-growth-by-2028-ibm-dell-mcafee
Killexams : IT Asset Management Market 2022 Size, Share, Comprehensive Research Study and Forecast to 2030

The MarketWatch News Department was not involved in the creation of this content.

Jul 15, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the IT Asset Management Market Research are Broadcom, IBM, Oracle, SolarWinds, BMC, Snow Software, Livingstone, Agiloft, Axios, Cherwell, Eracent, Express Metrix, Freshservice, HP, Innotas, InvGate, iQuate, Kaseya, LabTech, Landesk, Provance, Samanage, ServiceNow, Symantec, SysAid, Vector Networks and other key market players.

Quadintel published a new report on the IT Asset Management Market. The research report consists of thorough information about demand, growth, opportunities, challenges, and restraints. In addition, it delivers an in-depth analysis of the structure and possibility of global and regional industries.

The Global Market Size of IT Asset Management will reach (2030 Market size $$) million $ in 2030 with a CAGR of $% from 2022-2030.

Request To obtain Free demo of This Strategic Report: https://www.quadintel.com/request-sample/it-asset-management-market/QI044

Market Overview

In the past few years, the IT Asset Management market experienced a huge change under the influence of COVID-19, the global market size of IT Asset Management reached (2021 Market size $$) million $ in 2021 from (2016 Market size $$) in 2016 with a CAGR of $$ from 2016-2021 is. As of now, the global COVID-19 Coronavirus Cases have exceeded 500 million, and the global epidemic has been basically under control, therefore, the World Bank has estimated the global economic growth in 2021 and 2022. The World Bank predicts that the global economic output is expected to expand 4 percent in 2021 while 3.8 percent in 2022. According to our research on IT Asset Management market and global economic environment, we forecast that the global market size of IT Asset Management will reach (2027 Market size $$) million $ in 2027 with a CAGR of % from 2022-2027.

Due to the COVID-19 pandemic, according to World Bank statistics, global GDP has shrunk by about 3.5% in 2020. Entering 2021, Economic activity in many countries has started to recover and partially adapted to pandemic restrictions. The research and development of vaccines has made breakthrough progress, and many governments have also issued various policies to stimulate economic recovery, particularly in the United States, is likely to provide a strong boost to economic activity but prospects for sustainable growth vary widely between countries and sectors. Although the global economy is recovering from the great depression caused by COVID-19, it will remain below pre-pandemic trends for a prolonged period. The pandemic has exacerbated the risks associated with the decade-long wave of global debt accumulation. It is also likely to steepen the long-expected slowdown in potential growth over the next decade.

Download Free demo Report, SPECIAL OFFER (Avail an Up-to 30% discount on this report)https://www.quadintel.com/request-sample/it-asset-management-market/QI044

The world has entered the COVID-19 epidemic recovery period. In this complex economic environment, we published the Global IT Asset Management Market Status, Trends and COVID-19 Impact Report 2022, which provides a comprehensive analysis of the global IT Asset Management market , This Report covers the manufacturer data, including: sales volume, price, revenue, gross margin, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows the regional development status, including market size, volume and value, as well as price data. Besides, the report also covers segment data, including: type wise, industry wise, channel wise etc. all the data period is from 2016-2021, this report also provide forecast data from 2022-2027.

Region Segmentation
North America (United States, Canada, Mexico)
South America (Brazil, Argentina, Other)
Asia Pacific (China, Japan, India, Korea, Southeast Asia)
Europe (Germany, UK, France, Spain, Italy)
Middle East and Africa (Middle East, Africa)

Product Type Segmentation
Cloud Based
On-premises

Application Segmentation
Enterprises
Government

Request full Report Description, TOC, Table of Figure, Chart, etc.@https://www.quadintel.com/request-sample/it-asset-management-market/QI044

Table of content

Market Overview
Market Definition and Scope
Market Dynamics
Market Industry Analysis
Market, Regional Analysis
Analysis of Leading Companies
Competitive Intelligence
Research Process
Market Analysis and Forecast, By Product Types

What is the goal of the report?

The market report presents the estimated size of the Market at the end of the forecast period. The report also examines historical and current market sizes. During the forecast period, the report analysis the growth rate, market size, and market valuation. The report presents current trends in the industry and the future potential of the North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa markets. The report offers a comprehensive view of the market based on geographic scope, market segmentation, and key player financial performance.

What is the key information extracted from the report?

Extensive information on factors estimated to affect the Market growth and market share during the forecast period is presented in the report.
The report offers the present scenario and future growth prospects Market in various geographical regions.
The competitive landscape analysis on the market as well as the qualitative and quantitative information is delivered.
The SWOT analysis is conducted along with Porter's Five Force analysis.
The in-depth analysis provides an insight into the Market, underlining the growth rate and opportunities offered in the business.

Request Full Reporthttps://www.quadintel.com/request-sample/it-asset-management-market/QI044

About Quadintel:

We are the best market research reports provider in the industry. Quadintel believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Quadintel is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:

Quadintel:
Email:sales@quadintel.com
Address: Office - 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611, UNITED STATES
Tel: +1 888 212 3539 (US - TOLL FREE)
Website:https://www.quadintel.com/

COMTEX_410221873/2796/2022-07-15T01:29:41

The MarketWatch News Department was not involved in the creation of this content.

Thu, 14 Jul 2022 23:11:00 -0500 en-US text/html https://www.marketwatch.com/press-release/it-asset-management-market-2022-size-share-comprehensive-research-study-and-forecast-to-2030-2022-07-15
Killexams : IBM Research Rolls Out A Comprehensive AI And Platform-Based Edge Research Strategy Anchored By Enterprise Use Cases And Partnerships

I recently met with Dr. Nick Fuller, Vice President, Distributed Cloud, at IBM Research for a discussion about IBM’s long-range plans and strategy for artificial intelligence and machine learning at the edge.

Dr. Fuller is responsible for providing AI and platform–based innovation for enterprise digital transformation spanning edge computing and distributed cloud management. He is an IBM Master Inventor with over 75 patents and co-author of 75 technical publications. Dr. Fuller obtained his Bachelor of Science in Physics and Math from Morehouse College and his PhD in Applied Physics from Columbia University.

Edge In, not Cloud Out

In general, Dr. Fuller told me that IBM is focused on developing an "edge in" position versus a "cloud out" position with data, AI, and Kubernetes-based platform technologies to scale hub and spoke deployments of edge applications.

A hub plays the role of a central control plane used for orchestrating the deployment and management of edge applications in a number of connected spoke locations such as a factory floor or a retail branch, where data is generated or locally aggregated for processing.

“Cloud out” refers to the paradigm where cloud service providers are extending their cloud architecture out to edge locations. In contrast, “edge in” refers to a provider-agnostic architecture that is cloud-independent and treats the data-plane as a first-class citizen.

IBM's overall architectural principle is scalability, repeatability, and full stack solution management that allows everything to be managed using a single unified control plane.

IBM’s Red Hat platform and infrastructure strategy anchors the application stack with a unified, scalable, and managed OpenShift-based control plane equipped with a high-performance storage appliance and self-healing system capabilities (inclusive of semi-autonomous operations).

IBM’s strategy also includes several in-progress platform-level technologies for scalable data, AI/ML runtimes, accelerator libraries for Day-2 AI operations, and scalability for the enterprise.

It is an important to mention that IBM is designing its edge platforms with labor cost and technical workforce in mind. Data scientists with PhDs are in high demand, making them difficult to find and expensive to hire once you find them. IBM is designing its edge system capabilities and processes so that domain experts rather than PhDs can deploy new AI models and manage Day-2 operations.

Why edge is important

Advances in computing and storage have made it possible for AI to process mountains of accumulated data to provide solutions. By bringing AI closer to the source of data, edge computing is faster and more efficient than cloud. While Cloud data accounts for 60% of the world’s data today, vast amounts of new data is being created at the edge, including industrial applications, traffic cameras, and order management systems, all of which can be processed at the edge in a fast and timely manner.

Public cloud and edge computing differ in capacity, technology, and management. An advantage of edge is that data is processed and analyzed at / near its collection point at the edge. In the case of cloud, data must be transferred from a local device and into the cloud for analytics and then transferred back to the edge again. Moving data through the network consumes capacity and adds latency to the process. It’s easy to see why executing a transaction at the edge reduces latency and eliminates unnecessary load on the network.

Increased privacy is another benefit of processing data at the edge. Analyzing data where it originates limits the risk of a security breach. Most of the communications between the edge and the cloud is then confined to such things as reporting, data summaries, and AI models, without ever exposing the raw data.

IBM at the Edge

In our discussion, Dr. Fuller provided a few examples to illustrate how IBM plans to provide new and seamless edge solutions for existing enterprise problems.

Example #1 – McDonald’s drive-thru

Dr. Fuller’s first example centered around Quick Service Restaurant’s (QSR) problem of drive-thru order taking. Last year, IBM acquired an automated order-taking system from McDonald's. As part of the acquisition, IBM and McDonald's established a partnership to perfect voice ordering methods using AI. Drive-thru orders are a significant percentage of total QSR orders for McDonald's and other QSR chains.

McDonald's and other QSR restaurants would like every order to be processed as quickly and accurately as possible. For that reason, McDonald's conducted trials at ten Chicago restaurants using an edge-based AI ordering system with NLP (Natural Language Processing) to convert spoken orders into a digital format. It was found that AI had the potential to reduce ordering errors and processing time significantly. Since McDonald's sells almost 7 million hamburgers daily, shaving a minute or two off each order represents a significant opportunity to address labor shortages and increase customer satisfaction.

Example #2 – Boston Dynamics and Spot the agile mobile robot

According to an earlier IBM survey, many manufacturers have already implemented AI-driven robotics with autonomous decision-making capability. The study also indicated that over 80 percent of companies believe AI can help Excellerate future business operations. However, some companies expressed concern about the limited mobility of edge devices and sensors.

To develop a mobile edge solution, IBM teamed up with Boston Dynamics. The partnership created an agile mobile robot using IBM Research and IBM Sustainability Software AI technology. The device can analyze visual sensor readings in hazardous and challenging industrial environments such as manufacturing plants, warehouses, electrical grids, waste treatment plants and other hazardous environments. The value proposition that Boston Dynamics brought to the partnership was Spot the agile mobile robot, a walking, sensing, and actuation platform. Like all edge applications, the robot’s wireless mobility uses self-contained AI/ML that doesn’t require access to cloud data. It uses cameras to read analog devices, visually monitor fire extinguishers, and conduct a visual inspection of human workers to determine if required safety equipment is being worn.

IBM was able to show up to a 10X speedup by automating some manual tasks, such as converting the detection of a problem into an immediate work order in IBM Maximo to correct it. A fast automated response was not only more efficient, but it also improved the safety posture and risk management for these facilities. Similarly, some factories need to thermally monitor equipment to identify any unexpected hot spots that may show up over time, indicative of a potential failure.

IBM is working with National Grid, an energy company, to develop a mobile solution using Spot, the agile mobile robot, for image analysis of transformers and thermal connectors. As shown in the above graphic, Spot also monitored connectors on both flat surfaces and 3D surfaces. IBM was able to show that Spot could detect excessive heat build-up in small connectors, potentially avoiding unsafe conditions or costly outages. This AI/ML edge application can produce faster response times when an issue is detected, which is why IBM believes significant gains are possible by automating the entire process.

IBM market opportunities

Drive-thru orders and mobile robots are just a few examples of the millions of potential AI applications that exist at the edge and are driven by several billion connected devices.

Edge computing is an essential part of enterprise digital transformation. Enterprises seek ways to demonstrate the feasibility of solving business problems using AI/ML and analytics at the edge. However, once a proof of concept has been successfully demonstrated, it is a common problem for a company to struggle with scalability, data governance, and full-stack solution management.

Challenges with scaling

“Determining entry points for AI at the edge is not the difficult part,” Dr. Fuller said. “Scale is the real issue.”

Scaling edge models is complicated because there are so many edge locations with large amounts of diverse content and a high device density. Because large amounts of data are required for training, data gravity is a potential problem. Further, in many scenarios, vast amounts of data are generated quickly, leading to potential data storage and orchestration challenges. AI Models are also rarely "finished." Monitoring and retraining of models are necessary to keep up with changes the environment.

Through IBM Research, IBM is addressing the many challenges of building an all-encompassing edge architecture and horizontally scalable data and AI technologies. IBM has a wealth of edge capabilities and an architecture to create the appropriate platform for each application.

IBM AI entry points at the edge

IBM sees Edge Computing as a $200 billion market by 2025. Dr. Fuller and his organization have identified four key market entry points for developing and expanding IBM’s edge compute strategy. In order of size, IBM believes its priority edge markets to be intelligent factories (Industry 4.0), telcos, retail automation, and connected vehicles.

IBM and its Red Hat portfolio already have an established presence in each market segment, particularly in intelligent operations and telco. Red Hat is also active in the connected vehicles space.

Industry 4.0

There have been three prior industrial revolutions, beginning in the 1700s up to our current in-progress fourth revolution, Industry 4.0, that promotes a digital transformation.

Manufacturing is the fastest growing and the largest of IBM’s four entry markets. In this segment, AI at the edge can Excellerate quality control, production optimization, asset management, and supply chain logistics. IBM believes there are opportunities to achieve a 4x speed up in implementing edge-based AI solutions for manufacturing operations.

For its Industry 4.0 use case development, IBM, through product, development, research and consulting teams, is working with a major automotive OEM. The partnership has established the following joint objectives:

  • Increase automation and scalability across dozens of plants using 100s of AI / ML models. This client has already seen value in applying AI/ML models for manufacturing applications. IBM Research is helping with re-training models and implementing new ones in an edge environment to help scale even more efficiently. Edge offers faster inference and low latency, allowing AI to be deployed in a wider variety of manufacturing operations requiring instant solutions.
  • Dramatically reduce the time required to onboard new models. This will allow training and inference to be done faster and allow large models to be deployed much more quickly. The quicker an AI model can be deployed in production; the quicker the time-to-value and the return-on-investment (ROI).
  • Accelerate deployment of new inspections by reducing the labeling effort and iterations needed to produce a production-ready model via data summarization. Selecting small data sets for annotation means manually examining thousands of images, this is a time-consuming process that will result in - labeling of redundant data. Using ML-based automation for data summarization will accelerate the process and produce better model performance.
  • Enable Day-2 AI operations to help with data lifecycle automation and governance, model creation, reduce production errors, and provide detection of out-of-distribution data to help determine if a model’s inference is accurate. IBM believes this will allow models to be created faster without data scientists.

Maximo Application Suite

IBM’s Maximo Application Suite plays an important part in implementing large manufacturers' current and future IBM edge solutions. Maximo is an integrated public or private cloud platform that uses AI, IoT, and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. IBM is working with several large manufacturing clients currently using Maximo to develop edge use cases, and even uses it within its own Manufacturing.

IBM has research underway to develop a more efficient method of handling life cycle management of large models that require immense amounts of data. Day 2 AI operations tasks can sometimes be more complex than initial model training, deployment, and scaling. Retraining at the edge is difficult because resources are typically limited.

Once a model is trained and deployed, it is important to monitor it for drift caused by changes in data distributions or anything that might cause a model to deviate from original requirements. Inaccuracies can adversely affect model ROI.

Day-2 AI Operations (retraining and scaling)

Day-2 AI operations consist of continual updates to AI models and applications to keep up with changes in data distributions, changes in the environment, a drop in model performance, availability of new data, and/or new regulations.

IBM recognizes the advantages of performing Day-2 AI Operations, which includes scaling and retraining at the edge. It appears that IBM is the only company with an architecture equipped to effectively handle Day-2 AI operations. That is a significant competitive advantage for IBM.

A company using an architecture that requires data to be moved from the edge back into the cloud for Day-2 related work will be unable to support many factory AI/ML applications because of the sheer number of AI/ML models to support (100s to 1000s).

“There is a huge proliferation of data at the edge that exists in multiple spokes,” Dr. Fuller said. "However, all that data isn’t needed to retrain a model. It is possible to cluster data into groups and then use sampling techniques to retrain the model. There is much value in federated learning from our point of view.”

Federated learning is a promising training solution being researched by IBM and others. It preserves privacy by using a collaboration of edge devices to train models without sharing the data with other entities. It is a good framework to use when resources are limited.

Dealing with limited resources at the edge is a challenge. IBM’s edge architecture accommodates the need to ensure resource budgets for AI applications are met, especially when deploying multiple applications and multiple models across edge locations. For that reason, IBM developed a method to deploy data and AI applications to scale Day-2 AI operations utilizing hub and spokes.

The graphic above shows the current status quo methods of performing Day-2 operations using centralized applications and a centralized data plane compared to the more efficient managed hub and spoke method with distributed applications and a distributed data plane. The hub allows it all to be managed from a single pane of glass.

Data Fabric Extensions to Hub and Spokes

IBM uses hub and spoke as a model to extend its data fabric. The model should not be thought of in the context of a traditional hub and spoke. IBM’s hub provides centralized capabilities to manage clusters and create multiples hubs that can be aggregated to a higher level. This architecture has four important data management capabilities.

  1. First, models running in unattended environments must be monitored. From an operational standpoint, detecting when a model’s effectiveness has significantly degraded and if corrective action is needed is critical.
  2. Secondly, in a hub and spoke model, data is being generated and collected in many locations creating a need for data life cycle management. Working with large enterprise clients, IBM is building unique capabilities to manage the data plane across the hub and spoke estate - optimized to meet data lifecycle, regulatory & compliance as well as local resource requirements. Automation determines which input data should be selected and labeled for retraining purposes and used to further Excellerate the model. Identification is also made for atypical data that is judged worthy of human attention.
  3. The third issue relates to AI pipeline compression and adaptation. As mentioned earlier, edge resources are limited and highly heterogeneous. While a cloud-based model might have a few hundred million parameters or more, edge models can’t afford such resource extravagance because of resource limitations. To reduce the edge compute footprint, model compression can reduce the number of parameters. As an example, it could be reduced from several hundred million to a few million.
  4. Lastly, suppose a scenario exists where data is produced at multiple spokes but cannot leave those spokes for compliance reasons. In that case, IBM Federated Learning allows learning across heterogeneous data in multiple spokes. Users can discover, curate, categorize and share data assets, data sets, analytical models, and their relationships with other organization members.

In addition to AI deployments, the hub and spoke architecture and the previously mentioned capabilities can be employed more generally to tackle challenges faced by many enterprises in consistently managing an abundance of devices within and across their enterprise locations. Management of the software delivery lifecycle or addressing security vulnerabilities across a vast estate are a case in point.

Multicloud and Edge platform

In the context of its strategy, IBM sees edge and distributed cloud as an extension of its hybrid cloud platform built around Red Hat OpenShift. One of the newer and more useful options created by the Red Hat development team is the Single Node OpenShift (SNO), a compact version of OpenShift that fits on a single server. It is suitable for addressing locations that are still servers but come in a single node, not clustered, deployment type.

For smaller footprints such as industrial PCs or computer vision boards (for example NVidia Jetson Xavier), Red Hat is working on a project which builds an even smaller version of OpenShift, called MicroShift, that provides full application deployment and Kubernetes management capabilities. It is packaged so that it can be used for edge device type deployments.

Overall, IBM and Red Hat have developed a full complement of options to address a large spectrum of deployments across different edge locations and footprints, ranging from containers to management of full-blown Kubernetes applications from MicroShift to OpenShift and IBM Edge Application Manager.

Much is still in the research stage. IBM's objective is to achieve greater consistency in terms of how locations and application lifecycle is managed.

First, Red Hat plans to introduce hierarchical layers of management with Red Hat Advanced Cluster Management (RHACM), to scale by two to three orders of magnitude the number of edge locations managed by this product. Additionally, securing edge locations is a major focus. Red Hat is continuously expanding platform security features, for example by recently including Integrity Measurement Architecture in Red Hat Enterprise Linux, or by adding Integrity Shield to protect policies in Red Hat Advanced Cluster Management (RHACM).

Red Hat is partnering with IBM Research to advance technologies that will permit it to protect platform integrity and the integrity of client workloads through the entire software supply chains. In addition, IBM Research is working with Red Hat on analytic capabilities to identify and remediate vulnerabilities and other security risks in code and configurations.

Telco network intelligence and slice management with AL/ML

Communication service providers (CSPs) such as telcos are key enablers of 5G at the edge. 5G benefits for these providers include:

  • Reduced operating costs
  • Improved efficiency
  • Increased distribution and density
  • Lower latency

The end-to-end 5G network comprises the Radio Access Network (RAN), transport, and core domains. Network slicing in 5G is an architecture that enables multiple virtual and independent end-to-end logical networks with different characteristics such as low latency or high bandwidth, to be supported on the same physical network. This is implemented using cloud-native technology enablers such as software defined networking (SDN), virtualization, and multi-access edge computing. Slicing offers necessary flexibility by allowing the creation of specific applications, unique services, and defined user groups or networks.

An important aspect of enabling AI at the edge requires IBM to provide CSPs with the capability to deploy and manage applications across various enterprise locations, possibly spanning multiple end-to-end network slices, using a single pane of glass.

5G network slicing and slice management

Network slices are an essential part of IBM's edge infrastructure that must be automated, orchestrated and optimized according to 5G standards. IBM’s strategy is to leverage AI/ML to efficiently manage, scale, and optimize the slice quality of service, measured in terms of bandwidth, latency, or other metrics.

5G and AI/ML at the edge also represent a significant opportunity for CSPs to move beyond traditional cellular services and capture new sources of revenue with new services.

Communications service providers need management and control of 5G network slicing enabled with AI-powered automation.

Dr. Fuller sees a variety of opportunities in this area. "When it comes to applying AI and ML on the network, you can detect things like intrusion detection and malicious actors," he said. "You can also determine the best way to route traffic to an end user. Automating 5G functions that run on the network using IBM network automation software also serves as an entry point.”

In IBM’s current telecom trial, IBM Research is spearheading the development of a range of capabilities targeted for the IBM Cloud Pak for Network Automation product using AI and automation to orchestrate, operate and optimize multivendor network functions and services that include:

  • End-to-end 5G network slice management with planning & design, automation & orchestration, and operations & assurance
  • Network Data and AI Function (NWDAF) that collects data for slice monitoring from 5G Core network functions, performs network analytics, and provides insights to authorized data consumers.
  • Improved operational efficiency and reduced cost

Future leverage of these capabilities by existing IBM Clients that use the Cloud Pak for Network Automation (e.g., DISH) can offer further differentiation for CSPs.

5G radio access

Open radio access networks (O-RANs) are expected to significantly impact telco 5G wireless edge applications by allowing a greater variety of units to access the system. The O-RAN concept separates the DU (Distributed Units) and CU (Centralized Unit) from a Baseband Unit in 4G and connects them with open interfaces.

O-RAN system is more flexible. It uses AI to establish connections made via open interfaces that optimize the category of a device by analyzing information about its prior use. Like other edge models, the O-RAN architecture provides an opportunity for continuous monitoring, verification, analysis, and optimization of AI models.

The IBM-telco collaboration is expected to advance O-RAN interfaces and workflows. Areas currently under development are:

  • Multi-modal (RF level + network-level) analytics (AI/ML) for wireless communication with high-speed ingest of 5G data
  • Capability to learn patterns of metric and log data across CUs and DUs in RF analytics
  • Utilization of the antenna control plane to optimize throughput
  • Primitives for forecasting, anomaly detection and root cause analysis using ML
  • Opportunity of value-added functions for O-RAN

IBM Cloud and Infrastructure

The cornerstone for the delivery of IBM's edge solutions as a service is IBM Cloud Satellite. It presents a consistent cloud-ready, cloud-native operational view with OpenShift and IBM Cloud PaaS services at the edge. In addition, IBM integrated hardware and software Edge systems will provide RHACM - based management of the platform when clients or third parties have existing managed as a service models. It is essential to note that in either case this is done within a single control plane for hubs and spokes that helps optimize execution and management from any cloud to the edge in the hub and spoke model.

IBM's focus on “edge in” means it can provide the infrastructure through things like the example shown above for software defined storage for federated namespace data lake that surrounds other hyperscaler clouds. Additionally, IBM is exploring integrated full stack edge storage appliances based on hyperconverged infrastructure (HCI), such as the Spectrum Fusion HCI, for enterprise edge deployments.

As mentioned earlier, data gravity is one of the main driving factors of edge deployments. IBM has designed its infrastructure to meet those data gravity requirements, not just for the existing hub and spoke topology but also for a future spoke-to-spoke topology where peer-to-peer data sharing becomes imperative (as illustrated with the wealth of examples provided in this article).

Wrap up

Edge is a distributed computing model. One of its main advantages is that computing, and data storage and processing is close to where data is created. Without the need to move data to the cloud for processing, real-time application of analytics and AI capabilities provides immediate solutions and drives business value.

IBM’s goal is not to move the entirety of its cloud infrastructure to the edge. That has little value and would simply function as a hub to spoke model operating on actions and configurations dictated by the hub.

IBM’s architecture will provide the edge with autonomy to determine where data should reside and from where the control plane should be exercised.

Equally important, IBM foresees this architecture evolving into a decentralized model capable of edge-to-edge interactions. IBM has no firm designs for this as yet. However, the plan is to make the edge infrastructure and platform a first-class citizen instead of relying on the cloud to drive what happens at the edge.

Developing a complete and comprehensive AI/ML edge architecture - and in fact, an entire ecosystem - is a massive undertaking. IBM faces many known and unknown challenges that must be solved before it can achieve success.

However, IBM is one of the few companies with the necessary partners and the technical and financial resources to undertake and successfully implement a project of this magnitude and complexity.

It is reassuring that IBM has a plan and that its plan is sound.

Paul Smith-Goodson is Vice President and Principal Analyst for quantum computing, artificial intelligence and space at Moor Insights and Strategy. You can follow him on Twitter for more current information on quantum, AI, and space.

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.

Mon, 08 Aug 2022 03:51:00 -0500 Paul Smith-Goodson en text/html https://www.forbes.com/sites/moorinsights/2022/08/08/ibm-research-rolls-out-a-comprehensive-ai-and-ml-edge-research-strategy-anchored-by-enterprise-partnerships-and-use-cases/
Killexams : Bimodal Identity Management Solutions Market: Global Demand Analysis & Opportunity Outlook 2031

The MarketWatch News Department was not involved in the creation of this content.

Jul 31, 2022 (AmericaNewsHour) -- Research Nester published a report titled "Bimodal Identity Management Solutions Market: Global Demand Analysis & Opportunity Outlook 2031" which delivers detailed overview of theglobalbimodal identity management solutions market in terms of market segmentation by deployment, enterprise size, end use vertical, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global bimodal identity management solutions market is estimated to occupy a large amount of revenue by growing at a notable CAGR during the forecast period, i.e., 2022 - 2031, ascribing to the rising development of advanced identity management systems integrated with AI. Along with this, escalating technological advancements in the global IT sector, and high requirement for proper authenticity check and raising security concerns in companies are also expected to accelerate the growth of the market in the upcoming years.

Download demo PDF of this Report @ https://www.researchnester.com/sample-request-3828

The market is segmented by deployment, enterprise size and end use vertical. Based on enterprise size, the large enterprises segment is anticipated to acquire the largest share during the forecast period on the back of increasing incidences of data breaches through stolen or weak privileged credentials in these enterprises. Additionally, by end use vertical, the healthcare segment is projected to observe robust growth over the forecast period attributing to the higher number of cyberattacks by employees in this sector.

Geographically, the global bimodal identity management solutions market is segmented into five major regions, namely North America, Europe, Latin America, Asia Pacific, and the Middle East & Africa. North America is evaluated to grab the largest share in the market during the forecast period attributing to the growing adoption of identity management solutions as a result of digitalization in the region. Moreover, the market in Asia Pacific is assessed to witness noteworthy growth in the future owing to the growing government initiatives associated with authenticated access control in workplaces in the region.

The research is global in nature and covers detailed analysis on the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa). In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players' competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.

Rising Development of Sophisticated Identity Management Systems with Artificial Intelligence to Drive Market Growth

Since the last decade, the total number of cyberattacks and data breaches have witnessed a significant surge. This is raising the need for proper authenticity check at organizations to keep confidential data safe and secure, which in turn is anticipated to raise the demand for effective solutions to prevent damage from cyberthreats. It is predicted to drive market growth significantly in the near future.

However, high deployment cost of these systems is expected to operate as key restraint to the growth of the global bimodal identity management solutions market over the forecast period.

Download demo PDF of this Report @ https://www.researchnester.com/sample-request-3828

This report also provides the existing competitive scenario of some of the key players of the global bimodal identity management solutions market which includes company profiling of Sophos Ltd, SOTI Inc, VMware, Inc., Microsoft Corporation, Fischer International, OneLogin, Inc., Okta, Inc., NetIQ Corporation, Symantec Corporation, Oracle Corporation, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and exact news and developments. On the whole, the report depicts detailed overview of the global bimodal identity management solutions market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.     

About Research Nester:

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

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Killexams : Nelson Yuan

While studying industrial engineering at Columbia University, Nelson Yuan “felt the gravitational pull of Wall Street.” For him, engineering wasn’t an end in itself, “but a framework for looking at problems. I like to apply an engineering perspective to operations challenges.” His budding interest in finance, combined with a desire to apply the Mandarin language skills he had learned at home, led to his first internship in Hong Kong. “Seeing the growth trajectory in China,” Nelson says, “made me want to study abroad.”

After graduation, Nelson continued to work in finance with three years of investment banking at Morgan Stanley and two at the Carlyle Group, where he worked in private equity and debt investment.

Efficient way to learn business

As Nelson’s career matured, he “didn’t find finance fulfilling.” But making the transition to operations meant addressing gaps in his education. “While finance is important, I needed an efficient way to acquire a larger understanding of business, including marketing, strategy and entrepreneurship. HBS’ general-management focus fits my ambitions. Here, I can develop a foundation for thinking about business problems.”

But when it came to business problems, the case study method offered an approach that had been unfamiliar to Nelson. “As an engineer, I saw things in black and white,” he says. “There’s either a right answer or a wrong one. But the cases teach you that there really isn’t a right or wrong answer – just lots of different shades of gray. You come up with what you think is the best answer and defend it with evidence. Then as a class, we can reach consensus based on what different people bring to their case arguments.”

HBS has changed Nelson’s understanding of leadership as well. “Working in the trenches,” he says, “it can be hard to see how business leaders affect the ethos of a company. One of the things they stress at HBS is responsibility, the strong sense of ethics that must inform the decisions we make, the way we influence our colleagues. Here, I’m internalizing what it means to be a significant figure as a business leader: a person who shapes a company’s culture.”

Exploring high tech

During the winter break, Nelson joined the Tech Media Club’s West Trek for a tour of Silicon Valley. “We met leaders of established tech companies, small startups, and emerging clean-tech firms,” says Nelson. “It was a great introduction to companies that might not otherwise recruit at HBS. And a convenient way to weigh the advantages of working at an established company versus working at a start-up. We got a sense of the various lifestyle choices from the people we met.”

Nelson has accepted a summer internship with Symantec in the Bay Area, where he will help manage a new enterprise product focused on storage software. “In the future,” he says, “I’m leaning more toward established companies right after graduation, though I may ultimately join a startup as a founder or early employee with an eye on becoming a CEO.”

Sun, 24 Dec 2017 01:11:00 -0600 en text/html https://www.hbs.edu/mba/student-life/people/Pages/perspectives.aspx?profile=nyuan
Killexams : Mindtree Ltd.

MindTree was incorporated in the year 1999 by a group of 10 industrial professionals who came from Cambridge Technology Partners, Lucent Technologies and Wipro and this team was led by Ashok Soota.

Mindtree has formed successful business and technology alliances with big companies like Microsoft, Hewlett Packard, Oracle, Bluettooth SIG, Intel, IBM, SAP, Orange, Sun Microsystems and many more.

The client list includes name like Getronics, Sonoco, ABB, Elance, Symantec, while consumer goods major Samsung is among others.

In early 2011, Ashok Soota, the co–founded of the company and the executive chairman, quit the company to start another venture.

Services

IT Services– Under this it provides services such as Application Maintenance Services, Business Intelligence, Mainframe and System I, Infrastructure Management and Technical Support, etc. The company caters services to industries like capital market, banking and financial services, Insurance, manufacturing, Retail and Travel and transport.

Research and Development services– MindTree provides various services such as IP Led Services, Semiconductor and hardware engineering, Software Engineering and testing. It offers these services to industries like Automotive, Communication Systems, Industrial System, Medical Electronics, etc.

Awards

2012
Selected by WASL procurement team as 'Best provider in the IT– Software services Category' in December 2012. This award is an endorsement of all the hard work the SAP practice, IG has put in over the years to make various projects a success.
Selected by Forbes Asia as one of the ‘200 Best Under A Billion companies’ of 2012. From a list of 15,000 companies, the screening was done based on sales growth, earnings growth and return on equity in the past 12 months and over three years.
2012 NASSCOM IT user award in ‘Social Media Adoption in an Enterprise’ category for the intranet application, PeopleHub.
Second runner–up in the ‘People’s Green Award’ category as part of the TCS World 10K marathon that was held in Bangalore, 2012.
Best corporate governance in India for 2012 by the World Finance magazine.

In 2011– MindTree Limited for the fourth consecutive year, won the Asian Most Admired Knowledge Enterprise (MAKE) Award issued by Teleos, in association with The KNOW Network.

MindTree Launches Contract Pricing Framework.
Ranked #3 in India in the ‘Best Overall for Corporate Governance’ category in Asiamoney corporate governance poll, 2011.
Ranked among the top 100 global outsourcing companies in a study by Global Services Media and NeoAdvisory in 2011.
Selected as the ‘EPG Communication & Collaboration Partner of the year 2011’ by Microsoft.
Ranked 19 in the list of top 25 best employers in India and ranked second among the IT companies by AON Hewitt best employers' survey 2011.

2010 – MindTree Ltd launches Security Services to Help Businesses Solidify and Execute Their Security and Compliance Strategies.

In 2009, MindTree was ranked among the top 5 global R&D service providers by Zinnov Management Consulting Pvt. Ltd

MindTree received the BML Munjal Award, for being the best Indian private sector company in the area of Learning and Development, in February 2008.

MindTree was named among the world's top 100 outsourcing service providers by the International Association of Outsourcing Professionals 2007.

In 2007, MindTree was declared the Number 1 Most Admired Knowledge Enterprise in India by Teleos, in association with the KNOW Network.

Thu, 04 Aug 2022 17:18:00 -0500 en text/html https://www.ndtv.com/business/stock/mindtree-ltd_mindtree/reports
Killexams : Application Virtualization Market is Anticipated to have Prodigious CAGR of 13.1% During the Period of 2022-2032

As per a new report led by Future Market Insights, the application virtualization market is supposed to arrive at US$ 13.2 billion by 2032, up from US$ 3.8 billion in 2022, growing at a high CAGR of 13.1%. This study makes sense that an expansion in the execution of outsider stage by the business for the execution of utilizations is an element that normally speeds up the market esteem during the figure time frame.

Moreover, savvy arrangements, as well as further developed productivity benefits, are different variables that are supposed to energize the reception of Application virtualization arrangements among SMEs, which thus will fuel the market development during the figure time frame. Additionally, the rising reception of cloud-based advances is one more central point that is expected to expand the market development over the examination period.

Furthermore, a few advantages gave by application virtualization, for example, establishment just on one concentrated PC as opposed to introducing on each PC and simple up-degree anticipate that a lift should the market in the impending years. Further, the accessibility of utilization without introducing it and simple control on the application by administrators to permit or deny access of the application to a specific client is anticipated to move the market development.

Key Takeaways from the Market Study

  • Global application virtualization market was valued at US$ 3.8 Bn by 2022-end
  • The US to account for the highest value share of US$ 4.7 Bn of global market demand for Application Virtualization Market in 2032
  • From 2015 to 2021, Application Virtualization demand expanded at a CAGR of 15.1%
  • By Deployment Type, the private cloud category constitutes the bulk of application virtualization deployment with a CAGR of 12.4%.

Competitive Landscape

Players in the worldwide Application Virtualization Market center around extending their worldwide arrival through different systems, for example, associations, coordinated efforts, and organizations. The players are likewise making a critical interest in R&D to add developments to their items which would help them in reinforcing their situation in the worldwide market. A portion of the new improvements among the central participants are:

  • In September 2019, Microsoft declared the overall general accessibility of Windows Virtual Desktop. The main help conveys improved on administration, a multi-meeting Windows 10 experience, enhancements for Office 365 ProPlus, and support for Windows Server Remote Desktop Services (RDS) work areas and applications. With Windows Virtual Desktop, clients can convey and scale their Windows work areas and applications on Azure in minutes.
  • In January 2019, Symantec presented a new Symantec SSL Visibility machine (SSLV) v5.0 – scrambled traffic the executive’s arrangement as a virtual machine. SSLV v5.0 is an on-premise virtual apparatus for committed Secure Sockets Layer (SSL)/Transport Layer Security (TLS) assessment.
  • In 2018, Microsoft gained FSlogix, to broaden its virtualization abilities and proposition a superior encounter to the Microsoft 365 clients.

About Future Market Insights (FMI)
Future Market Insights (ESOMAR certified market research organization and a member of the Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments based on Source, Application, Sales Channel, and End Use over the next 10 years

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Wed, 03 Aug 2022 08:08:00 -0500 Ankush Nikam en-US text/html https://techbullion.com/application-virtualization-market-is-anticipated-to-have-prodigious-cagr-of-13-1-during-the-period-of-2022-2032/
Killexams : Samsara Welcomes Jeffrey Hausman as Chief Product Officer and Appoints Kiren Sekar as Chief Strategy Officer

SAN FRANCISCO, July 21, 2022--(BUSINESS WIRE)--Samsara Inc. ("Samsara") (NYSE: IOT), the pioneer of the Connected Operations Cloud, today announced the hiring of Jeffrey Hausman as Chief Product Officer, effective July 25, 2022. Hausman joins Samsara from ServiceNow where he served as Senior Vice President and General Manager of the Operations Management Portfolio - ITOM, ITAM, Security, Risk, and ESG. He brings a proven track record of over 25 years leading product development as a senior executive across a wide range of products at McAfee, Symantec, Hewlett-Packard, and Veritas. Hausman will join Samsara’s executive management team and report directly to Sanjit Biswas, Samsara’s co-founder and CEO.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220721005333/en/

(Photo: Business Wire)

Samsara’s current Chief Product Officer Kiren Sekar will become the company’s first Chief Strategy Officer, focusing on long-term strategy and leading new and emerging product development to expand the Connected Operations Cloud across physical operations. Sekar will continue reporting directly to Biswas.

"Jeffrey's experience as a product leader is extensive, encompassing cloud operations, data analytics, management, security, and infrastructure technologies," said Biswas. "His track record scaling large transformative software companies will be a tremendous asset to Samsara as we expand our Connected Operations Cloud. Jeffrey shares Samsara’s passion for helping customers unlock the power of physical operations data to increase operational efficiency, worker safety, and business resiliency. We’re excited to welcome Jeffrey to the team."

Biswas added, "I’m also excited to announce Kiren’s new role as Chief Strategy Officer, where he will lead incubation of net-new products, and bring them to market. These additions will be instrumental as we continue to grow, scale, and add products on the Samsara platform."

"What drew me to Samsara is the real-world impact of the Connected Operations Cloud and the extensibility of the platform," said Hausman. "Samsara customers keep the world running, yet today those businesses face more challenges than ever. Rising fuel costs, inflationary pressures, driver shortages, and supply chain crunches are just a few. Samsara has built a leading platform of applications to help customers mitigate these challenges, and the opportunity for compounding product innovation at scale on the platform is tremendous. I can't wait to get started and help build the future of Connected Operations."

"The world of physical operations is in the early innings of its digital transformation," said Sekar. "Samsara is in a unique position to accelerate this transformation: in just seven years, Samsara has become a system of record for customers’ physical operations, across industries that make up 40% of global GDP. And our Connected Operations Cloud is capturing data at a massive scale, processing over four trillion data points each year. This data, combined with feedback from our customers, creates boundless potential to innovate, expand our platform, and grow our impact. I'm thrilled to have Jeffrey on the team to take our market-leading products to the next level. And I'm excited to partner with our customers to build new products on our platform that make operations safer, more efficient, and more sustainable."

About Jeffrey Hausman
Jeffrey Hausman joins Samsara from ServiceNow, where he was Senior Vice President and General Manager of the Operations Management Portfolio - ITOM, ITAM, Security, Risk, and ESG. He served in that role from 2019 to 2022. Before that, Hausman served as a senior executive at McAfee, Symantec, Hewlett-Packard, and Veritas, and as a CEO and COO for privately held companies. Earlier in his career, Jeffrey served as a consultant to Fortune 500 companies as part of Booz & Co. Hausman received his MBA at Dartmouth’s Tuck School of Business and graduated from Claremont McKenna College with degrees in math and economics.

About Kiren Sekar
Kiren Sekar is Samsara’s Chief Strategy Officer, responsible for long-term strategy and new product development. Previously, Sekar was Chief Product Officer, leading the Product organization from founding through Samsara’s IPO, and also led Marketing at Samsara from founding until 2021. Prior to joining Samsara, Sekar was VP of Marketing at Meraki (now part of Cisco Systems), where he helped grow the business from $5M to over $500M in annual revenue. Prior to that, Sekar held software engineering and management positions at various startups and at Apple, and holds patents for network protocol design from his work at Apple. Sekar has a B.S. in Computer Science from Stanford.

About Samsara
Samsara is the pioneer of the Connected Operations Cloud, which allows businesses that depend on physical operations to harness IoT (Internet of Things) data to develop actionable business insights and Excellerate their operations. Samsara operates in North America and Europe and serves tens of thousands of customers across a wide range of industries including transportation, wholesale and retail trade, construction, field services, logistics, utilities and energy, government, healthcare and education, manufacturing, and food and beverage. The company's mission is to increase the safety, efficiency, and sustainability of the operations that power the global economy.

Samsara is a registered trademark of Samsara Inc. All other brand names, product names or trademarks belong to their respective holders.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220721005333/en/

Contacts

Media Contact:
Adam Simons
media@samsara.com

Investor Contact:
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Killexams : Bimodal Identity Management Solutions Market Size, Growth, Share | Global Industry Analysis [2031]

(MENAFN- America News Hour)

Research Nester published a report titled“Bimodal Identity Management Solutions Market : Global Demand Analysis & Opportunity Outlook 2031” which delivers detailed overview of theglobalbimodal identity management solutions market in terms of market segmentation by deployment, enterprise size, end use vertical, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global bimodal identity management solutions market is estimated to occupy a large amount of revenue by growing at a notable CAGR during the forecast period, i.e., 2022 – 2031, ascribing to the rising development of advanced identity management systems integrated with AI. Along with this, escalating technological advancements in the global IT sector, and high requirement for proper authenticity check and raising security concerns in companies are also expected to accelerate the growth of the market in the upcoming years.

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The market is segmented by deployment, enterprise size and end use vertical. Based on enterprise size, the large enterprises segment is anticipated to acquire the largest share during the forecast period on the back of increasing incidences of data breaches through stolen or weak privileged credentials in these enterprises. Additionally, by end use vertical, the healthcare segment is projected to observe robust growth over the forecast period attributing to the higher number of cyberattacks by employees in this sector.

Geographically, the global bimodal identity management solutions market is segmented into five major regions, namely North America, Europe, Latin America, Asia Pacific, and the Middle East & Africa. North America is evaluated to grab the largest share in the market during the forecast period attributing to the growing adoption of identity management solutions as a result of digitalization in the region. Moreover, the market in Asia Pacific is assessed to witness noteworthy growth in the future owing to the growing government initiatives associated with authenticated access control in workplaces in the region.

The research is global in nature and covers detailed analysis on the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa). In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players' competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.

Rising Development of Sophisticated Identity Management Systems with Artificial Intelligence to Drive Market Growth

Since the last decade, the total number of cyberattacks and data breaches have witnessed a significant surge. This is raising the need for proper authenticity check at organizations to keep confidential data safe and secure, which in turn is anticipated to raise the demand for effective solutions to prevent damage from cyberthreats. It is predicted to drive market growth significantly in the near future.

However, high deployment cost of these systems is expected to operate as key restraint to the growth of the global bimodal identity management solutions market over the forecast period.

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This report also provides the existing competitive scenario of some of the key players of the global bimodal identity management solutions market which includes company profiling of Sophos Ltd, SOTI Inc, VMware, Inc., Microsoft Corporation, Fischer International, OneLogin, Inc., Okta, Inc., NetIQ Corporation, Symantec Corporation, Oracle Corporation, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and exact news and developments. On the whole, the report depicts detailed overview of the global bimodal identity management solutions market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

About Research Nester:

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

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