Direct download links of LOT-958 brain dumps at killexams.com

Rather than wasting period and money upon searching updated IBM SmartCloud Notes Hybrid Config & Onboard Data Transfer queries, you should move forward and sign up on killexams.com. Download 100% free of charge dumps purchase complete LOT-958 Latest Topics version. Read plus pass the LOT-958 examination.

Exam Code: LOT-958 Practice test 2022 by Killexams.com team
IBM SmartCloud Notes Hybrid Config & Onboard Data Transfer
IBM SmartCloud learning
Killexams : IBM SmartCloud learning - BingNews https://killexams.com/pass4sure/exam-detail/LOT-958 Search results Killexams : IBM SmartCloud learning - BingNews https://killexams.com/pass4sure/exam-detail/LOT-958 https://killexams.com/exam_list/IBM Killexams : IBM SmartCloud Powers an International Approach to Education

IBM is taking its Big Data and cloud capabilities overseas to help transform a French institution into a "smart business school" with international reach.

EMLYON Business School has partnered with IBM to use the company’s technologies to provide a more personalized education experience to its international students.

Cloud computing techniques can make education more compelling and encourage students to explore more topics, Katharine Frase, vice president and CTO of IBM’s public sector, told EdTech. It’s also a technology that makes sense for a school that intends to offer courses in multiple languages to countries on multiple continents.

“We’re interested in how cloud computing can help you not only on the efficiency side of education, but particularly on the digitized side — to enable you to be more nimble and to have more global reach,” Frase said.

EMLYON is also at the drawing-board stage with IBM on how its cognitive computing system Watson could bolster the school’s efforts, particularly Watson’s potential to overcome language barriers.

IBM's SmartCloud is a software-as-a-service offering that gives schools a cloud-based content-delivery system. EMLYON will be taking advantage of the system's versatility to offer business courses at the school’s campuses in France, China and Morocco as well as on "pop-up" campuses in emerging markets, such as West Africa.

“What we believe is genuinely new about this initiative is that it will allow us to deliver content and coaching that are absolutely relevant to each participants’ needs and aspirations, wherever they are in the world and at every step on their career path,” said Bernard Belletante, dean of EMLYON, in a press release. “So, in a similar way that users today can cherry-pick their entertainment, our community will be able to choose when, where and how much it learns.”

Sun, 26 Jun 2022 12:00:00 -0500 D. Frank Smith en text/html https://edtechmagazine.com/higher/article/2015/02/ibm-smartcloud-powers-international-approach-education
Killexams : Master Data Management

Dremio is extending its partnership with Amazon Web Services (AWS), announcing that Dremio Cloud is now available to purchase in the AWS Marketplace. Dremio Cloud, being available to purchase in AWS Marketplace, provides businesses with the freedom and flexibility to use their preferred procurement vehicle to adopt the open lakehouse platform, according to the vendor.

Posted August 04, 2022

ManageEngine is releasing Analytics Plus, an IT analytics product that is structured to consolidate analytics deployment onto a singular platform through a newly available SaaS option. Users will be able to easily deploy analytics on either public or private clouds in under 60 seconds, according to the vendor. The program will have the capability to be deployed in on-premises servers, Docker, or cloud platforms like Google Cloud and Azure.

Posted August 03, 2022

Ask a data engineer why they got into the field, and they'll likely share how they looked forward to bringing concepts to life or solving complex challenges; or they wanted to share their expertise in a collaborative, agile environment; or they simply wanted to provide better visibility into the way products work for end users—and how it could be improved.

Posted August 03, 2022

Hazelcast, Inc., home of the real-time data platform, is introducing the beta release of a new serverless offering under its Viridian cloud portfolio, dubbed Hazelcast Viridian Serverless. The platform enables companies to take immediate action on real-time data by speeding app development, simplifying provisioning, and enabling flexible and robust integration of real-time data into applications, according to the vendor.

Posted August 02, 2022

Acceldata has announced an alternative method for long-term data platform independence that will be available for Hortonworks Data Platform (HDP) and Cloudera Data Hub (CDH) customers. This alternative choice will streamline data platform usage by offering customers the option to stay on-premises with the current Hadoop release or migrate to a selected cloud data platform, eliminating forced migration.

Posted August 01, 2022

Snyk, a provider of developer security, is introducing Snyk Cloud, a comprehensive cloud Security Solution designed by and for developers. Thoughtfully designed with global DevSecOps teams in mind, Snyk's Cloud Security solution unites and extends existing products Snyk Infrastructure as Code and Snyk Container with Fugue's leading cloud security posture management (CSPM) capabilities, according to the vendor.

Posted July 28, 2022

CData Software, a provider of data connectivity and integration solutions, is offering an all-new AWS Glue client connector for CData Connect Cloud, expanding access to hundreds of data sources and destinations for AWS Glue customers. CData now offers cloud-native connectivity solutions that seamlessly integrate with the applications and systems previously unavailable within AWS Glue.

Posted July 28, 2022

Striim, Inc. is expanding its existing agreement with Microsoft to meet increasing customer demand for real-time analytics and operations by enabling customers to leverage Striim Cloud on Microsoft Azure. This move allows for continuous, streaming data integration from on-premises and cloud enterprise sources to Azure Synapse Analytics and Power BI, taking full advantage of the Microsoft Intelligent Data Platform.

Posted July 28, 2022

BigID, provider of a data intelligence platform, is introducing security and privacy aware access control for AWS Cloud infrastructure to reduce risk and automate role-based policies across AWS including S3, Redshift, Athena, EMR, and more with extended integrations. By using BigID, AWS customers can automate intelligent access control to enable and restrict access to their sensitive data—while creating business policies based on data sensitivity and context, according to the vendor.

Posted July 27, 2022

SAP released 27 new and updated Security Notes, including six High Priority notes, during its July patch release. Onapsis Research Labs (ORL) supported SAP in patching a Missing Authorization Check vulnerability in the highly sensitive SAP Enterprise Extension Defense Forces & Public Security application.

Posted July 27, 2022

GFOS mbH announced that its modular HR software, gfos 4.8, is certified by SAP to integrate with cloud solutions from SAP, helping organizations extract employee data from SAP SuccessFactors solutions to further process the information within the gfos software.

Posted July 27, 2022

OutSystems, a global leader in high-performance application development, announced it is now an official member of the SAP PartnerEdge program, with a Build focus, underscoring its commitment to providing high-value low-code to businesses using SAP solutions. While twice as many OutSystems customers connect to SAP technologies as any other system of record, the new relationship will make it even easier for additional businesses within the SAP ecosystem to discover and connect with OutSystems.

Posted July 27, 2022

The pandemic has expedited businesses' need to digitally transform. Surging digital demands paired with talent shortages while using legacy technologies have made it nearly impossible for businesses to keep pace with change, innovate, and stay ahead of the competition. To meet these challenges, organizations need technologies that make it easier to build applications and streamline workflows. The answer? Low code development.

Posted July 27, 2022

Cloudian announced that HyperStore object storage is now validated to work with Microsoft Azure Stack HCI, giving Azure Stack HCI customers the scalability and flexibility benefits of public cloud in a secure and cost-effective, cloud-native storage platform within their own data centers.

Posted July 26, 2022

MANTA, the data lineage platform, is launching Release 37, offering new enhancements to data lineage platform that include modeling tool and scanner upgrades to offer efficient data lineage experiences for customers. With Release 37, MANTA further upgrades its platform to meet the modeling requirements of users scanning new properties into MANTA Flow to infer end-to-end data lineage.

Posted July 26, 2022

Model9, a provider of cloud data management for the IBM Z mainframe, announced it will participate in The Open Mainframe Project, an open source initiative with 20 programs and working groups that enable collaboration across the mainframe community to develop shared tool sets and resources.

Posted July 25, 2022

IBM is expanding its Power10 server line with the introduction of mid-range and scale-out systems to modernize, protect, and automate business applications and IT operations. The new Power10 servers combine performance, scalability, and flexibility with new pay-as-you-go consumption offerings for clients looking to deploy new services quickly across multiple environments.

Posted July 25, 2022

Pecan AI, a provider of AI-based predictive analytics for BI analysts and business teams, is adding one-click model deployment and integration with common CRMs, marketing automation, and other core business systems. Pecan's customers can now take immediate actions based on the highly accurate predictions for future churn, lifetime value, demand and other customer-conversion metrics generated by Pecan, according to the vendor.

Posted July 21, 2022

Dataiku is releasing Dataiku 11, a pivotal update of the company's data science and AI platform that helps organizations deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.

Posted July 20, 2022

TIE Kinetix, a provider of supply chain digitalization and a current member of Oracle PartnerNetwork (OPN), announced that TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing is available on Oracle Cloud Marketplace. TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing now extends TIE Kinetix's cloud-native solution, EDI-2-FLOW, where Oracle Cloud SCM users have the opportunity to benefit from a fully integrated EDI solution via a standard connector.

Posted July 20, 2022

What's the hardest part of managing a merger, acquisition, or divestiture? The answer may seem to be getting lawyers and regulators to sign off on the deal or handling the business restructuring that follows. But here's another hairy M&A and divestiture challenge which executives too often underestimate: migrating massive amounts data, most of it unstructured, between entities.

Posted July 20, 2022

NVIDIA is releasing a unified computing platform for speeding breakthroughs in quantum research and development across AI, HPC, health, finance, and other disciplines. The NVIDIA Quantum Optimized Device Architecture, or QODA, aims to make quantum computing more accessible by creating a coherent hybrid quantum-classical programming model.

Posted July 18, 2022

Solace, an enabler of event-driven architecture for real-time enterprises, is joining the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS Partners which provide software solutions that run on or integrate with AWS.

Posted July 18, 2022

Kyligence's Intelligent Cloud OLAP Platform now offers support for Amazon EMR Serverless, a serverless option from Amazon Web Services (AWS) that makes it easier for data analysts and engineers to run open source big data analytics frameworks. Using automatic on-demand provisioning and scaling capabilities available through Amazon EMR Serverless, Kyligence Cloud cost effectively meets the changing processing requirements across all data volumes, according to the vendor.

Posted July 15, 2022

Grafana Labs is introducing the Kubernetes Monitoring solution for Grafana Cloud, enabling all levels of Kubernetes usage within an organization. Kubernetes Monitoring is available to all Grafana Cloud users, including those on the generous free tier. Grafana Cloud users can install the Grafana Agent onto their Kubernetes cluster(s) and in minutes, the Kube-state metrics will be shipped to Prometheus and Grafana, according to the vendor.

Posted July 15, 2022

Deci, the deep learning company harnessing AI to solve the AI efficiency gap, announced it has raised $25 million in a Series B funding round, enabling the company to expand its go-to-market activities, as well as further accelerate the company's R&D efforts. The funding round was led by global software investor Insight Partners, with participation from existing investors Square Peg, Emerge, Jibe Ventures, and Fort Ross Ventures, as well as new investor ICON. The investment comes just seven months after Deci secured $21 million in Series A funding, also led by Insight Partners, bringing Deci's total funding to $55.1 million.

Posted July 14, 2022

Ensono, an expert technology adviser and managed service provider, is acquiring AndPlus, a cloud native and data engineering firm. This acquisition continues Ensono's strategic investment in scaling its cloud and data engineering capabilities and reinforces the company's commitment to helping clients plan, build, migrate, and operate in the cloud, according to the vendor.

Posted July 14, 2022

AI is delivering new benefits and efficiencies to organizations through greater automation capabilities, ease of use, and accessibility—across a variety of use cases. Spurred by the COVID-19 pandemic and a host of other compounding factors such as climate change and sustainability, supply chain delays, the Great Resignation, and the war in Ukraine, companies are scrambling to take advantage of what AI has to offer during this upheaval.

Posted July 13, 2022

Following the integration and acquisition of several backup and recovery companies and solutions, Jungle Disk is rebranding as CyberFortress—a global company providing managed data backups built to prevent business disruption through rapid recovery. The acquisitions include KeepItSafe, LiveVault, and OffsiteDataSync from J2 Global.

Posted July 13, 2022

MANTA, the data lineage platform, is partnering with IBM to drive data-driven success for enterprise-level customers by providing MANTA's data lineage platform with IBM Cloud Pak for Data to offer businesses historical, indirect, and technical data lineage capabilities. MANTA's automated data lineage platform is designed to provide a line of sight into data environments by building a powerful map of all data flows, sources, transformations, and dependencies to help Excellerate data governance, streamline migration projects, and accelerate incident resolution.

Posted July 13, 2022

DataBank, a leading provider of enterprise-class colocation, interconnection, and managed services, is partnering with Corsa Security, a provider in automating firewall virtualization, to deploy, scale, and optimize its Palo Alto Networks ML-powered VM-Series Virtual Next-Generation Firewalls with speed, simplicity, and savings.

Posted July 13, 2022

Signal AI, a global External Intelligence company, is launching its External Intelligence Graph, a comprehensive view of an organization's external world built on real-time data and content. Signal AI's External Intelligence Graph maps the relationships between the things a modern organization needs to care about, like climate change, supply chain risk, or competitor intelligence, and highlights how an organization is "associated" to these important topics.

Posted July 12, 2022

SingleStore, the cloud-native database built for powering real-time data-intensive applications, announced it has been accepted as a Gold Status Partner in Intel's Disruptor Initiative. The program helps companies push the limits of innovation through technical enablement and multi-channel go-to-market activities. As a result, SingleStore customers will benefit by realizing enhanced database performance to address real-time data challenges while lowering total cost of ownership (TCO).

Posted July 11, 2022

IBM is acquiring Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures, and poor quality. The acquisition further strengthens IBM's software portfolio across data, AI, and automation to address the full spectrum of observability.

Posted July 11, 2022

GigaSpaces is partnering with IBM and Wix to design a joint Digital Acceleration Hub (DAH), aiming to accelerate the pace at which enterprises and start-ups can build and deploy new digital services. The joint solution combines GigaSpaces' high-performance in-memory data platform with the capabilities and cutting-edge technologies of IBM and Wix.         

Posted July 11, 2022

Tue, 08 Feb 2022 06:23:00 -0600 en text/html https://www.dbta.com/Categories/Master-Data-Management-336.aspx
Killexams : Machine Learning in Utilities Market Industry Updates, New Opportunities, Major Strategies and Forecast 2030

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

Jul 26, 2022 (Alliance News via COMTEX) -- New York (US) - Key Companies Covered in the Machine Learning in Utilities Market Research are Baidu, Hewlett Packard Enterprise Development LP, SAS Institute, Inc., IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, BigML, Inc., Fair Isaac Corporation, Intel Corporation, Google LLC, H2o.AI, Alpiq, SmartCloud and other key market players.

The global Machine Learning in Utilities market is expected to reach US$ Million by 2027, with a CAGR of $$% from 2020 to 2027, based on Report Ocean newly published report. The demand for Internet-of-Things (IoT) technology and services are growing globally, especially around applications within the healthcare, energy, transport, public sector, and manufacturing industries. Many countries have led to the emergence of IoT/smart city projects.

Download Free trial of This Strategic Report: https://reportocean.com/industry-verticals/sample-request?report_id=HNY306842

The U.S. accounted for the major share in the global landscape in technology innovation. As per the World Economic Forum's 2018 Global Competitive Index, the country's competitive advantage is owing to its business vitality, substantial institutional pillars, financing agencies, and vibrant innovation ecosystem.

As of 2021, the U.S. region garnered 36%of the global information and communication technology (ICT) market share.Europe and China ranked as the second and third largest regions, separately accounting for 12%of the market share.The U.S. economy has held its global leadership position despite only a cumulative growth in wages from US$ 65 per hour in 2005 to US$ 71.3 per hour in 2015.

The prime objective of this report is to provide the insights on the post COVID-19 impact which will help market players in this field evaluate their business approaches. Also, this report covers market segmentation by major market verdors, types, applications/end users and geography(North America, East Asia, Europe, South Asia, Southeast Asia, Middle East, Africa, Oceania, South America)

By Types:

Hardware

Software

Service

By Applications:

Renewable Energy Management

Demand Forecast

Safety and Security

Infrastructure

Other

Key Indicators Analysed

Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2016-2027 & Sales with a thorough analysis of the markets competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.

Global and Regional Market Analysis: The report includes Global & Regional market status and outlook 2016-2027. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.

Market Trends:Market key trends which include Increased Competition and Continuous Innovations.

Opportunities and Drivers:Identifying the Growing Demands and New Technology

Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry.

SPECIAL OFFER (Avail an Up-to 30% discount on this report- https://reportocean.com/industry-verticals/sample-request?report_id=HNY306842

Key Reasons to Purchase

To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.

Assess the production processes, major issues, and solutions to mitigate the development risk.

To understand the most affecting driving and restraining forces in the market and its impact in the global market.

Learn about the market strategies that are being adopted by leading respective organizations.

To understand the future outlook and prospects for the market.

Besides the standard structure reports, we also provide custom research according to specific requirements.

Table of Content:

  • Market Definition and Overview
  • Research Method and Logic
  • Market Competition Analysis
  • Product and Service Analysis
  • Strategies for Company to Deal with the Impact of COVID-19
  • Market Segment by Type, Historical Data and Market Forecasts
  • Market Segment by Application, Historical Data and Market Forecasts
  • Market by by Region, Historical Data and Market Forecasts
  • Market Dynamic Analysis and Development Suggestions

Key Questions Answered in the Market Report

  • Which Manufacturing Technology is used for Market? What Developments Are Going on in That Technology?
  • Which Trends Are Causing These Developments? Who Are the Global Key Players in This Market?
  • What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Status of Market? What Was Capacity, Production Value, Cost and PROFIT of Market?
  • What Is Current Market Status of market Industry? What's Market Competition in This Industry, Both Company, and Country Wise?
  • What's Market Analysis of Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global Market Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit?
  • What Will Be Market Share Report, Supply and Consumption? What about Import and Export?
  • What Is Market Chain Analysis by Upstream Raw Materials and Downstream Industry?

Request full Report : https://reportocean.com/industry-verticals/sample-request?report_id=HNY306842

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean 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. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:
Report Ocean:
Email:
sales@reportocean.com
Address: 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611 - UNITED STATES
Tel:+1 888 212 3539 (US - TOLL FREE)
Website:https://www.reportocean.com

COMTEX_410974650/2796/2022-07-26T05:13:12

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

Mon, 25 Jul 2022 17:13:00 -0500 en-US text/html https://www.marketwatch.com/press-release/machine-learning-in-utilities-market-industry-updates-new-opportunities-major-strategies-and-forecast-2030-2022-07-26
Killexams : Decosimo's Kim Lawrence Talks Technology Investments At Tech Showcase

Tax Principal Kim Lawrence of Decosimo, a Top 100 accounting and business advisory firm, will be making the keynote address at the InfoSystems Technology Convergence Showcase on Aug. 28 at The Sheraton Read House. 

Ms. Lawrence’s presentation “Why 2012 is the Best Year to Invest in Technology” will educate business leaders and financial decision makers about expense deductions and tax planning options that can create tax savings and cash flow to help fund technology investments this year.

The presentation will cover bonus depreciation enhancements made to IRS tax code Section 179 that are expected to change or end at the end of 2012.

For more information about the presentation, visit www.decosimo.com/InvestInTechnology.
 

Ms. Lawrence’s keynote address will kickoff the half-day Technology Convergence Showcase which will feature leading technology exhibitors including InfoSystems, IBM PureSystems, IBM System Storage, IBM SmartCloud Entry, Mitel, PanTerra Networks, Veeam Software, Brocade, Ruckus Wi-Fi and NetApp.

With nearly 25 years experience in tax practice, Ms. Lawrence is the tax principal in charge for Decosimo’s Chattanooga office. She is actively involved in the firm’s tax compliance practice, providing tax planning, tax consultation and review of partnership, corporate, state, consolidated business and individual tax returns. Areas of emphasis include state taxation, financial institutions, real estate development and closely-held businesses.

Wed, 20 Jul 2022 12:00:00 -0500 en text/html https://www.chattanoogan.com/2012/8/14/232243/Decosimo-s-Kim-Lawrence-Talks.aspx
Killexams : Machine Learning in Utilities Market latest Trends, Future Growth, High Demand and Forecasts 2030

Machine Learning in Utilities market report provides a detailed study of global market scope, regional and country-level market size, segmentation, growth, share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, latest developments, opportunities analysis, strategic market growth analysis, product launches and technological innovations.

Machine Learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.

Market segmentation
Machine Learning in Utilities market is divided by Type and Application. For the period 2022-2030, the growth among segments provides accurate calculations and forecasts for revenue by Type and Application. This analysis can help you expand your business by targeting qualified place market

Click Here to Request a trial copy: https://www.marketresearchinc.com/request-sample.php?id=106543

Market segment by Type, covers

  • Hardware
  • Software
  • Service

Market segment by Application, can be divided into

  • Renewable Energy Management
  • Demand Forecast
  • Safety and Security
  • Infrastructure

Market segment by players, this report covers

Baidu, Hewlett Packard Enterprise Development LP, SAS Institute, Inc., IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, BigML, Inc., Fair Isaac Corporation, Intel Corporation, Google LLC, H2o.AI, Alpiq, SmartCloud

Market segment by regions, regional analysis covers

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

Click Here to Purchase This Report: https://www.marketresearchinc.com/ask-for-discount.php?id=106543

Years Considered for the Machine Learning in Utilities Market Size:

  • Historic Years: 2015-2020
  • Base Year: 2021
  • Forecast Years: 2022-2030

Reasons to Purchase the Machine Learning in Utilities Market Report:

  • The report includes an excess of information such as market dynamics scenario and opportunities during the forecast period.
  • Segments and sub-segments include quantitative, qualitative, value and volume data.
  • Regional, sub-regional and country level data includes the demand and supply forces along with their impact on the market.
  • The competitive landscape covers share of key players, new growths and strategies.
  • All-inclusive companies offering products, relevant financial information, latest developments, SWOT analysis, and strategies by these players.

The report covers exhaustive analysis on:

  • Machine Learning in Utilities Market segments
  • Machine Learning in Utilities Market dynamics
  • Environment analysis
  • Machine Learning in Utilities Market current trends/issues/challenges
  • Competition & Companies involved technology
  • Value Chain
  • Machine Learning in Utilities Market drivers, restraints and opportunities

For Any Enquiries/Customization Related [email protected] https://www.marketresearchinc.com/enquiry-before-buying.php?id=106543

Contact Us

Market Research Inc

Author: Kevin

US Address: 51 Yerba Buena Lane, Ground Suite,

Inner Sunset San Francisco, CA 94103, USA

Call Us: +1 (628) 225-1818

Write Us: [email protected]

Sun, 31 Jul 2022 21:47:00 -0500 Industry Global News 24 en-US text/html https://www.digitaljournal.com/pr/machine-learning-in-utilities-market-recent-trends-future-growth-high-demand-and-forecasts-2030
Killexams : DevOps in AWS LiveLessons Review and Q&A with Author Paul Duvall

Devops in AWS LiveLessons, published by Addison-Wesley Professional, is a video course aimed at infrastructure developers and Sys Ops engineers who have a goal of creating a fully-automated continuous delivery system in Amazon Web Services (AWS). The 4+ hour course is especially focused on leveraging key features of AWS, such as programmable infrastructure, elasticity and ephemeral resources, while also presenting them in the framework of DevOps best practices and tools. InfoQ has spoken with course author Paul Duvall.

The course sets off by considering the importance of learning the motivation of stakeholders and putting in place the proper communication tools to get access to their assets. Once this is accomplished, according to Duvall, the next step is assessing the current state of the software delivery system. This entails documenting all steps of the current software delivery process as a pre-requisite to its final automation.

The rest of the course is devoted to a very thourough demonstration of all the steps that are required to setup a CI infrastructure in AWS, from the creation of network resources using AWS Virtual Private Cloud and the definition of subnets, route table, security groups and so on, to the set up of a proper CI pipeline across all of its stages. For each stage in the CI pipeline-commit, acceptance, capacity, exploratory, pre-production, and production-Duvall explains what its purpose is and what role it plays.

The final lessons address how to automate the process itself of setting up a new environment and deployment system; processes that are not specific to any given stage in the pipeline, such as monitoring and logging; and ongoing activities that can be helpful for the whole team.

InfoQ has interviewed Paul Duvall.

InfoQ: Hi Paul. Could you please shortly introduce yourself and describe your experience with Continuous Delivery?

I’m the co-founder of Stelligent and the primary author of the book on Continuous Integration. Our business objective at Stelligent is to implement Continuous Delivery solutions in Amazon Web Services for our customers so that they can release software whenever they choose to do so. I’ve been practicing Continuous Integration since the early 2000s on software development projects and began practicing what is now referred to as Continuous Delivery a few years after that. Like most things, it’s been a bit of an evolution toward more self-service, more automation and a better user experience for those who are developing and delivering software systems.

I’ve got a particular passion for automating repetitive and error-prone processes so that we humans can focus on higher-level activities. I find that the more I ask myself the question, “how can I systematize this process and make it self-service?”, the more I test the limits of what’s possible with automation. I believe we’re still at “Day 1” when it comes to automation around the software delivery process.

InfoQ: Can you briefly define Continuous Delivery and what benefits it can bring to an organization?

CD provides the benefits of having always-releasable software so decisions to release software are driven by business needs rather than operational constraints. Moreover, CD reduces the time between when a defect is introduced and when it’s discovered and fixed. CD embraces the DevOps mindset which, at its core, is about increasing collaboration and communication across an organization and reducing team silos that stifle this collaboration.

InfoQ: When should an organization adopt a continuous delivery model?

Organizations should implement a continuous delivery model when they have a need to regularly release software and/or they want to reduce the heroic efforts when they do release software. Releasing software less tends to make the release process more complex and prone to error, which calls for heroic efforts that can often otherwise be avoided. In other words, even if there isn’t a business need to release once a month, there’s often a compelling cost and quality of life motivation to move toward Continuous Delivery regardless of how often releases occur.

Organizations that haven’t incorporated Continuous Delivery and practices into their teams usually experience at least some of the following symptoms:

  • Team Silos - Teams segmented by functional area
  • Manual Instructions - Using manual instructions as the canonical source for infrastructure and other configuration
  • Tribal Knowledge - Knowledge is shared from one person to others and not formally institutionalized
  • Email - Managing release activities through emails
  • Different Tools Across Teams: Different teams across the lifecycle use different tools to deliver software
  • Issues/Tickets - Using issues/tickets as a means of communicating and assigning build, test, deployment and release-related tasks
  • Meetings - Meetings are used as a weak attempt to get different teams on the “same page”

These Symptoms Often Generate These Results:

  • Errors - When a full system isn’t integrated frequently, environments throughout the lifecycle are different, often leading to errors
  • Increased costs - Errors lead to increased costs
  • Delays - Weeks to get access to even just development and testing environments; Increased wait times as teams attempt to communicate across team silos
  • Release less frequently - Release during off-hours, weekends, calling for hero efforts

InfoQ: How would you describe the kind of mentality change that should go along with adopting a CD system?

On an individual level, people need to be moving away from the “it’s not my job” mentality and move toward a “systems thinking” mentality. People should be continually asking themselves “how will this change affect the rest of the system?” This kind of systems thinking should manifest into more holistic thinking for the benefit of the overall system.

When I refer to the whole team, I mean a cross-functional team that consists of people who are 100% dedicated to the project. This team’s external team dependencies should be minimal and they should have the ability to release the software whenever there’s a business decision to do so without going through a separate team.

When I refer to the whole process, I’m referring to a heuristic that we’ve found to work well when thinking about “systematizing” a process. This heuristic is: document, test, code, version and continuous. This translates to:

  1. Document - Document the process with the idea that you will automate away most of the steps you’re documenting. We refer to this as “document to automate”.
  2. Test - Write automated tests that will verify that the behavior you’re automating is working.
  3. Code - Codify the behavior based on the tests and/or documentation.
  4. Version - Commit the code and tests to the version-control repository.
  5. Continuous - Once the code and tests are versioned, ensure it can be run headless (e.g. a single command taking into account any necessary dependencies) and then configured to run as part of a single path to production through a continuous integration system.

When people think in terms of the whole system, they need to extend beyond just the application/service code, and include the configuration, infrastructure, data and all the supporting and dependent resources such as build, tests, deployments, binaries, etc. All of these components need to be documented, tested, codified, versioned and run continuously with each and every commit.

InfoQ: In your LiveLessons, you stress the importance of a number of initial steps, such as identifying all stakeholders, performing a discovery process, setting up communication management tools, moving to a cross-functional organization and so on. Could you elaborate on the importance of those steps?

As an engineer, it’d be easy for me to gloss over these types of activities for the more interesting hands-on coding exercises. While other lessons in the video do focus on the hands-on coding, I was seeking to show viewers all of the steps that we typically go through at Stelligent when implementing CD with a customer. For example, we find that when teams don’t take the time to determine the current state of their processes, they perform unnecessary sub-optimization on things that don’t provide the most benefit.

For instance, let’s say your process from code commit to production takes three months and there are multiple days just waiting for people downstream to just click or approve something, why would you first spend days or weeks optimizing the process time of the one of the steps in your delivery process? Instead, you might spend some time determining why there are multi-day bottlenecks.

This is why it’s essential to do things like value-stream mapping so that everyone gets on the same page about the current state (either on the software project under development or other projects in the organization if it’s a new development effort) so that you’re spending time on optimizing the most critical bottlenecks first.

InfoQ: Among all the steps you go through to set up a CD solution within an organization, what are the critical ones in order to get CD right?

  • Value-stream mapping - Create a left-to-right illustration of the current state containing all the steps in your process including the overall lead time, process times and wait times. Illustrate the anticipated future state.
  • Self Service - create fully-automated pull-based systems so that any authorized team member can get environments, tools or other resources without human intervention.
  • Cross-functional teams - for example: application developers, testing/QA, DBAs, operations, business analysts as part of the same small team
  • Feedback - get the right information to the right people at the right time. This may include real-time information radiators, emails and other communication mechanisms. Instill “stopping the line” into the team culture so that errors are fixed soon after they’re introduced.

InfoQ: You focus on AWS in your LiveLessons. What is the advantage of using it to implement an organization’s CD system?

At Stelligent, we’ve focused exclusively on building CI/CD solutions and have been working in the cloud since 2009. We’d worked with multiple cloud providers in the first year or so. For one customer, we used and analyzed something like 15 cloud providers, at the time. We determined that AWS was the most feature-rich, stable, cost-effective solution for their needs and we decided that it was the best solution for our needs.

InfoQ: How would AWS stack up in a hypothetical Continuous Delivery Contest against its main competitors, such as Microsoft Azure, IBM SmartCloud, Google Cloud Platform, and so on?

For what it’s worth, I’d include the Google Cloud Platform before I’d include the IBM SmartCloud. AWS is far ahead of any of the other infrastructure-as-a-service providers on the market. For example, there’s no real equivalent to AWS OpsWorks - particularly in the context of an integrated IaaS provider. Because AWS has a large suite of services, it provides and then exposes them through AWS CloudFormation, and the number of resources you can automatically provision is much more than any other provider.

Moreover, there are no genuinely comparable solutions to the new Continuous Delivery-focused services at AWS such as AWS CodeDeploy, AWS CodePipeline and AWS CodeCommit and several other enterprise-focused services.

Paul M. Duvall is the Chairman and CTO at Stelligent. Stelligent is an expert in implementing Continuous Delivery solutions in Amazon Web Services (AWS) and has been working with AWS since 2009. Paul is the principal author of Continuous Integration: Improving Software Quality and Reducing Risk (Addison-Wesley, 2007) and a 2008 Jolt Award Winner. Paul is an author of many other books and publications including DevOps in AWS (Addison-Wesley, 2014) and two IBM developerWorks series on syllabus around automation, DevOps and Cloud Computing. He is passionate about software delivery and the cloud and actively blogs here.

Thu, 11 Nov 2021 09:22:00 -0600 en text/html https://www.infoq.com/articles/devops-aws-livelessons-review/
Killexams : News Flashes

Dremio is extending its partnership with Amazon Web Services (AWS), announcing that Dremio Cloud is now available to purchase in the AWS Marketplace. Dremio Cloud, being available to purchase in AWS Marketplace, provides businesses with the freedom and flexibility to use their preferred procurement vehicle to adopt the open lakehouse platform, according to the vendor.

Posted August 04, 2022

Tresata is launching its Digital Business Platform (DBP) to aid businesses in delivering functional data to initialize digital transformations exclusively for data clouds. Through leverage of data exabytes in the cloud, DBP will be able to utilize enterprise data that would otherwise be abandoned to an unused data percentage. Automation of this utilization eradicates the need for extensive time and resources dedicated to monitoring and managing usable data.

Posted August 04, 2022

Telit, a provider of Internet of Things (IoT) solutions, and Thales, a global leader in Aerospace, Defense, Security and Digital Identity, have entered into an agreement under which Telit intends to acquire Thales' cellular IoT products. The intended transaction includes Thales' portfolio of cellular wireless communication modules, gateways, and data (modem) cards, ranging from 4G LTE, LPWAN to 5G.

Posted August 04, 2022

Flow Security is announcing its $10M seed round that facilitated the launch of a data security system that can locate and protect data, both at rest and in motion. Led by Amiti and backed by industry leaders like CyberArk CEO Udi Mokady, Demisto CEO, and co-founder Slavik Markovich, Flow Security's funding tackles data sprawl and security issues resulting from the industry shift towards cloud systems for data management.

Posted August 04, 2022

The continuous deployment (CD) company, Armory.io, is launching its CD Self-Hosted and Managed 2.28 product release for development teams seeking to continuously deploy software at a variety of scales in a trusted and straightforward mode. According to the vendor, a large focus of this product release is to aid elite developer teams execute code seamlessly. Upon deployment of the code, CD Self-Hosted and Managed will handle processes like testing, staging, and production.

Posted August 04, 2022

ManageEngine is releasing Analytics Plus, an IT analytics product that is structured to consolidate analytics deployment onto a singular platform through a newly available SaaS option. Users will be able to easily deploy analytics on either public or private clouds in under 60 seconds, according to the vendor. The program will have the capability to be deployed in on-premises servers, Docker, or cloud platforms like Google Cloud and Azure.

Posted August 03, 2022

InfStones and Oracle are collaborating on integrating InfStones' blockchain development platform with Oracle Cloud Infrastructure (OCI) to accelerate Web3 development. This collaboration will help deliver important insights that drive the evolution, development, and adoption of Web3 applications worldwide, according to the vendors.

Posted August 03, 2022

People.ai is joining Oracle Fusion Sales, enabling customers to drive revenue transformation. "Oracle and People.ai share a vision for how revenue intelligence can help transform B2B selling and drive stronger revenue operations performance. We are excited to partner with People.ai to bring action-oriented cross-functional revenue insights across the entire B2B lifecycle to our mutual customers," said Des Cahill, group vice president global product marketing, Oracle Customer Experience Cloud.

Posted August 03, 2022

Hazelcast, Inc., home of the real-time data platform, is introducing the beta release of a new serverless offering under its Viridian cloud portfolio, dubbed Hazelcast Viridian Serverless. The platform enables companies to take immediate action on real-time data by speeding app development, simplifying provisioning, and enabling flexible and robust integration of real-time data into applications, according to the vendor.

Posted August 02, 2022

The latest version of the BackBox Automation Platform revolutionizes customer experience through on-premises or cloud capability options for SaaS. This release provides network automation for managed service providers (MSPs), managed security service providers (MSSP), and enterprise users who will now be able to decide which configuration best suits their needs in increasingly hybrid environments. Customers will also have access to new features, like the executive dashboard, which impact inventory analytics and automation performance for concise automation processes.

Posted August 02, 2022

Relativity has announced its partnership with Veritas Technologies to provide an integrated customer experience for users of RelativityOne, Relativity Server, Enterprise Vault, eDiscovery Platform, Veritas Advanced Discovery, and Discovery Accelerator. This partnership will provide its collective user base with Relativity's AI-driven communication surveillance platform (Relativity Trace) backed by Veritas' data archiving systems and search platform.

Posted August 02, 2022

CircleCI has announced its collaboration with GitLab Inc. in order to provide native support for customers seeking accessibility between GitLab Inc., The One DevOps Platform for software innovation, and CircleCI. As a result, customers will have access to tools available in all the aforementioned systems, allowing for greater choice and flexibility in software innovation processes.

Posted August 01, 2022

Acceldata has announced an alternative method for long-term data platform independence that will be available for Hortonworks Data Platform (HDP) and Cloudera Data Hub (CDH) customers. This alternative choice will streamline data platform usage by offering customers the option to stay on-premises with the current Hadoop release or migrate to a selected cloud data platform, eliminating forced migration.

Posted August 01, 2022

Avertium is releasing Fusion MXDR, a new service the security partner is providing for Microsoft Security customers, providing threat intelligence, attack surface monitoring, NIST CSF framework, and vulnerability management as part of a cyber maturity program for Microsoft Defender for Endpoint and Microsoft Sentinel.

Posted July 29, 2022

Mason, innovator a fully managed infrastructure for developing and delivering dedicated smart devices, is debuting the Mason X-Ray, a fully integrated device management and observability platform for remote debugging and resolution of issues on IoT smart devices.

Posted July 29, 2022

Snyk, a provider of developer security, is introducing Snyk Cloud, a comprehensive cloud Security Solution designed by and for developers. Thoughtfully designed with global DevSecOps teams in mind, Snyk's Cloud Security solution unites and extends existing products Snyk Infrastructure as Code and Snyk Container with Fugue's leading cloud security posture management (CSPM) capabilities, according to the vendor.

Posted July 28, 2022

CData Software, a provider of data connectivity and integration solutions, is offering an all-new AWS Glue client connector for CData Connect Cloud, expanding access to hundreds of data sources and destinations for AWS Glue customers. CData now offers cloud-native connectivity solutions that seamlessly integrate with the applications and systems previously unavailable within AWS Glue.

Posted July 28, 2022

Striim, Inc. is expanding its existing agreement with Microsoft to meet increasing customer demand for real-time analytics and operations by enabling customers to leverage Striim Cloud on Microsoft Azure. This move allows for continuous, streaming data integration from on-premises and cloud enterprise sources to Azure Synapse Analytics and Power BI, taking full advantage of the Microsoft Intelligent Data Platform.

Posted July 28, 2022

BigID, provider of a data intelligence platform, is introducing security and privacy aware access control for AWS Cloud infrastructure to reduce risk and automate role-based policies across AWS including S3, Redshift, Athena, EMR, and more with extended integrations. By using BigID, AWS customers can automate intelligent access control to enable and restrict access to their sensitive data—while creating business policies based on data sensitivity and context, according to the vendor.

Posted July 27, 2022

SAP released 27 new and updated Security Notes, including six High Priority notes, during its July patch release. Onapsis Research Labs (ORL) supported SAP in patching a Missing Authorization Check vulnerability in the highly sensitive SAP Enterprise Extension Defense Forces & Public Security application.

Posted July 27, 2022

GFOS mbH announced that its modular HR software, gfos 4.8, is certified by SAP to integrate with cloud solutions from SAP, helping organizations extract employee data from SAP SuccessFactors solutions to further process the information within the gfos software.

Posted July 27, 2022

OutSystems, a global leader in high-performance application development, announced it is now an official member of the SAP PartnerEdge program, with a Build focus, underscoring its commitment to providing high-value low-code to businesses using SAP solutions. While twice as many OutSystems customers connect to SAP technologies as any other system of record, the new relationship will make it even easier for additional businesses within the SAP ecosystem to discover and connect with OutSystems.

Posted July 27, 2022

SAP is acquiring Askdata, a startup focused on search-driven analytics, to help organizations make better-informed decisions by leveraging AI-driven natural language searches. With this acquisition, users are empowered to search, interact, and collaborate on live data to maximize business insights, according to the vendor.

Posted July 27, 2022

Modernization is now becoming a crucial part of the strategy for many companies and BlueFinity has worked with many MV customers on the successful modernization of their previously static MultiValue systems. For a fast-growing number of companies, the introduction of apps that provide complete integration with a company's existing MultiValue systems and databases has proved to be a successful way of modernizing.

Posted July 27, 2022

Whether users are delaying the move to Informer 5 due to a lack of migration and IT resources, the thought of transitioning reports, or other projects, Entrinsik wants to help facilitate the migration with some best practices and migration resources. Entrinsik provides users with a Migration Guide that has tools for a successful migration. The Data Gathering Workbook can collect and document the information needed during the Informer 4 to Informer 5 migration to keep track of its progress.

Posted July 27, 2022

Rocket Software is offering a series of livestreams featuring its product roadmap for the future. The Rocket MultiValue product roadmap outlines the vision, direction, priorities, and progress of a product over time. It represents the plan of both short and long-term goals for Rocket's products.

Posted July 27, 2022

Cloudian announced that HyperStore object storage is now validated to work with Microsoft Azure Stack HCI, giving Azure Stack HCI customers the scalability and flexibility benefits of public cloud in a secure and cost-effective, cloud-native storage platform within their own data centers.

Posted July 26, 2022

MANTA, the data lineage platform, is launching Release 37, offering new enhancements to data lineage platform that include modeling tool and scanner upgrades to offer efficient data lineage experiences for customers. With Release 37, MANTA further upgrades its platform to meet the modeling requirements of users scanning new properties into MANTA Flow to infer end-to-end data lineage.

Posted July 26, 2022

Schneider Electric announced it is making a series of updates to its vendor-agnostic and CPD-accredited digital education platform, Schneider Electric University, to address the data center sector skills gap. Available in 14 languages and accessible globally for free online, the dedicated professional development platform helps industry stakeholders upskill and stay up to date with the latest technology, sustainability, and energy efficiency initiatives affecting the data center sector.

Posted July 25, 2022

Augtera Networks, a provider of AI/ML-powered Network Operations platforms, is introducing a holistic Network AIOps Data Center solution, addressing the pain points, use cases APIs, ITSM integrations, equipment/vendor integrations, data types, and constructs specific to data centers.

Posted July 25, 2022

Model9, a provider of cloud data management for the IBM Z mainframe, announced it will participate in The Open Mainframe Project, an open source initiative with 20 programs and working groups that enable collaboration across the mainframe community to develop shared tool sets and resources.

Posted July 25, 2022

IBM is expanding its Power10 server line with the introduction of mid-range and scale-out systems to modernize, protect, and automate business applications and IT operations. The new Power10 servers combine performance, scalability, and flexibility with new pay-as-you-go consumption offerings for clients looking to deploy new services quickly across multiple environments.

Posted July 25, 2022

Pecan AI, a provider of AI-based predictive analytics for BI analysts and business teams, is adding one-click model deployment and integration with common CRMs, marketing automation, and other core business systems. Pecan's customers can now take immediate actions based on the highly accurate predictions for future churn, lifetime value, demand and other customer-conversion metrics generated by Pecan, according to the vendor.

Posted July 21, 2022

Dataiku is releasing Dataiku 11, a pivotal update of the company's data science and AI platform that helps organizations deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.

Posted July 20, 2022

CData Software, a provider of data connectivity and integration solutions, is offering an all-new AWS Glue client connector for CData Connect Cloud, expanding access to hundreds of data sources and destinations for AWS Glue customers. CData now offers cloud-native connectivity solutions that seamlessly integrate with the applications and systems previously unavailable within AWS Glue.

Posted July 20, 2022

TIE Kinetix, a provider of supply chain digitalization and a current member of Oracle PartnerNetwork (OPN), announced that TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing is available on Oracle Cloud Marketplace. TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing now extends TIE Kinetix's cloud-native solution, EDI-2-FLOW, where Oracle Cloud SCM users have the opportunity to benefit from a fully integrated EDI solution via a standard connector.

Posted July 20, 2022

Oracle NetSuite is making updates to NetSuite Analytics Warehouse, helping organizations further enhance decision making and uncover new revenue streams. The latest updates boost the prebuilt data warehouse and analytics solution for NetSuite customers by making it easier for customers to blend relevant data sets and introducing new pre-built visualization capabilities.

Posted July 20, 2022

Oracle is introducing the Oracle Construction Intelligence Cloud Analytics platform, combing data from Oracle Smart Construction Platform applications to provide owners and contractors a comprehensive understanding of performance throughout their operations. With this insight, organizations can quickly spot and correct issues and target ways to drive continuous improvement across project planning, construction, and asset operation, according to the vendor.

Posted July 20, 2022

NVIDIA is releasing a unified computing platform for speeding breakthroughs in quantum research and development across AI, HPC, health, finance, and other disciplines. The NVIDIA Quantum Optimized Device Architecture, or QODA, aims to make quantum computing more accessible by creating a coherent hybrid quantum-classical programming model.

Posted July 18, 2022

Mon, 03 Aug 2020 04:50:00 -0500 en text/html https://www.dbta.com/Editorial/News-Flashes/
Killexams : Machine Learning In Utilities Market To Witness Widespread Expansion,Rising Business Opportunities With Prominent Investment,Forecast To 2030

Machine Learning in Utilities Market: A thorough analysis of statistics about the current as well as emerging trends offers clarity regarding the Machine Learning in Utilities Market dynamics. The report includes Porter’s Five Forces to analyze the prominence of various features such as the understanding of both the suppliers and customers, risks posed by various agents, the strength of competition, and promising emerging businesspersons to understand a valuable resource. Also, the report spans the Machine Learning in utility research data of various companies, benefits, gross margin, strategic decisions of the worldwide market, and more through tables, charts, and infographics.

The Machine Learning in Utilities Market report highlights an all-inclusive assessment of the revenue generated by the various segments across different regions for the forecast period, 2022 to 2030. To leverage business owners, and gain a thorough understanding of the current momentum, the research taps hard-to-find data on aspects including but not limited to demand and supply, distribution channels, and technology upgrades. Principally, the determination of strict government policies and regulations and government initiatives building the growth of Machine Learning in the utility market offers knowledge of what is in store for the business owners in the upcoming years.

To Understand Business Strategies, Request For a trial Report at  https://www.stratagemmarketinsights.com/sample/151630 

Promising Regions & Countries Mentioned In Machine Learning in Utilities Market Report:

‣ North America ( United States)
‣ Europe ( Germany, France, UK)
‣ Asia-Pacific ( China, Japan, India)
‣ Latin America ( Brazil)

The report studies Machine Learning in the utility market by evaluating the market chain, prevalent policies, and regulations as well as the manufacturers, their manufacturing chain, cost structures, and contribution to the industry. The regional markets in the report are examined by analyzing the pricing of products in the region compared to the profit generated. The production capacity, demand and supply, logistics, and the historical performance of the market in the given region are also evaluated in this market report.

Top Companies Covered In This Report:

Baidu, Hewlett Packard Enterprise Development LP, SAS Institute, Inc., IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, BigML, Inc., Fair Isaac Corporation, Intel Corporation, Google LLC, H2o.AI, Alpiq, SmartCloud

By the product type, the market is primarily split into:

Hardware, Software, Service

By the application, this report covers the following segments:

Renewable Energy Management, Demand Forecast, Safety, and Security, Infrastructure

Analysis of the market:

Other important factors studied in this report include demand and supply dynamics, industry processes, import & export scenarios, R&D development activities, and cost structures. Besides, consumption demand and supply figures, cost of production, gross profit margins, and selling price of products are also estimated in this report.

The conclusion part of their report focuses on the existing competitive analysis of the market. We have added some useful insights for both industries and clients. All leading manufacturers included in this report take care of expanding operations in regions. Here, we express our acknowledgment for the support and assistance from the News Apps industry experts and publicizing engineers as well as the examination group’s survey and conventions. Market rate, volume, income, demand, and supply data are also examined.

Up-To Avail 30% Discount on various license types on immediate purchase (Use corporate email ID Get Higher Priority-https://www.stratagemmarketinsights.com/discount/151630 

Important Features of the report:

✔

Detailed analysis of the Global Machine Learning in Utilities Market
✔ Fluctuating market dynamics of the industry
✔ Detailed market segmentation
✔ Historical, current, and projected market size in terms of volume and value
✔ latest industry trends and developments
✔ Competitive landscape of the Global Machine Learning in Utilities Market
✔ Strategies of key players and product offerings
✔ Potential and niche segments/regions exhibiting promising growth
✔ A neutral perspective toward Global Machine Learning in utility Market performance

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐲

The report has its roots definitely set in thorough strategies provided by proficient data analysts. The research methodology involves the collection of information by analysts only to have them studied and filtered thoroughly in an attempt to provide significant predictions about the market over the review period. The research process further includes interviews with leading market influencers, which makes the primary research relevant and practical. The secondary method gives a direct peek into the demand and supply connection. The market methodologies adopted in the report offer precise data analysis and provide a tour of the entire market. Both primary and secondary approaches to data collection have been used. In addition to these, publicly available sources such as annual reports, and white papers have been used by data analysts for an insightful understanding of the market.

Reasons to buy

1⃣ Procure strategically important competitor information, analysis, and insights to formulate effective R&D strategies.

2⃣ Recognize emerging players with potentially strong product portfolios and create effective counter-strategies to gain a competitive advantage.

3⃣ Classify potential new clients or partners in the target demographic.

4⃣ Develop tactical initiatives by understanding the focus areas of leading companies.

5⃣ Plan mergers and acquisitions meritoriously by identifying Top Manufacturers.

6⃣ Develop and design in-licensing and out-licensing strategies by identifying prospective partners with the most attractive projects to enhance and expand business potential and Scope.

7⃣ The report will be updated with the latest data and delivered to you within 2-4 working days of order.

8⃣ Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.

9⃣ Create regional and country strategies on the basis of local data and analysis.

Table of Contents:

1. Introduction
2. Key Takeaways
3. Research Methodology
4. Machine Learning in Utilities Landscape
5. Key Market Dynamics
6. Machine Learning in Utilities Market – Global Market Analysis
7. Revenue and Forecasts to 2030 – Segmentation
8. Geographical Analysis
9. Industry Landscape
10. Machine Learning in Utilities Market, Key Company Profiles
11. Appendix

To purchase this premium report, click here @ https://www.stratagemmarketinsights.com/cart/151630

Contact Us:

Stratagem Market Insights
📞

U.S.A: +1-415-871-0703
📞 UK: +44-203-289-4040
📞 JAPAN: +81-50-5539-1737
✉ Email: [email protected] 
🌐 Website: https://www.stratagemmarketinsights.com/ 

AJ

Tue, 19 Jul 2022 22:46:00 -0500 Coherent Market Insights en-US text/html https://www.digitaljournal.com/pr/machine-learning-in-utilities-market-to-witness-widespread-expansionrising-business-opportunities-with-prominent-investmentforecast-to-2030
Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

LAWRENCE, Kan.--(BUSINESS WIRE)--Jul 28, 2022--

Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass ® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, “Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service.”

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, “With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data.”

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass ® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc:www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link:www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass ® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron
https://www.linkedin.com/company/cobalt-iron/
https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com:https://www.businesswire.com/news/home/20220728005043/en/

CONTACT: Agency Contact:

Sunny Branson

Wall Street Communications

Tel: +1 801 326 9946

Email:sunny@wallstcom.com

Web:www.wallstcom.comCobalt Iron Contact:

Mary Spurlock

VP of Marketing

Tel: +1 785 979 9461

Email:maspurlock@cobaltiron.com

Web:www.cobaltiron.com

KEYWORD: EUROPE UNITED STATES NORTH AMERICA KANSAS

INDUSTRY KEYWORD: DATA MANAGEMENT SECURITY TECHNOLOGY SOFTWARE NETWORKS INTERNET

SOURCE: Cobalt Iron

Copyright Business Wire 2022.

PUB: 07/28/2022 09:00 AM/DISC: 07/28/2022 09:03 AM

http://www.businesswire.com/news/home/20220728005043/en

Thu, 28 Jul 2022 01:03:00 -0500 en text/html https://apnews.com/press-release/BusinessWire/technology-lawrence-ee0b71fe349441c1b5d45882b7264132
LOT-958 exam dump and training guide direct download
Training Exams List