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IBM Unica Enterprise Marketing Operations Technical Mastery Test v1
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Killexams : IBM Enterprise education - BingNews https://killexams.com/pass4sure/exam-detail/P8010-088 Search results Killexams : IBM Enterprise education - BingNews https://killexams.com/pass4sure/exam-detail/P8010-088 https://killexams.com/exam_list/IBM Killexams : How Tech Sector is Significantly Disadvantaged by an AI Skills Shortage

Guest blog: Sreeram Visvanathan, Chief Executive of IBM UK and Ireland, exposes a worrying shortfall in skills required for a career in AI.

I believe that the last two decades in enterprise computing has been the prequel to the main act to follow.  In this main act, the winners will be enterprises willing to change, to question everything, to leverage the latest in digital innovation to scale the impact of AI, Hybrid Cloud and automation on every aspect of their business. 

The Covid pandemic disrupted business-as-usual for most companies, and several spined to digital technology, containing AI, to sustain operations. Earlier this year, IBM launched a study that revealed the size of the AI skills gap across Europe that found the tech sector is struggling to find employees with adequate AI knowledge or experience. The research found nearly 7 in 10 tech job seekers and tech employees believe that potential recruits lack the skills necessary for a career in AI. The impact of this deficit has the potential to stifle digital innovation and hold back economic growth.

Mind the gap

The IBM report, ‘Addressing the AI Skills Gap in Europe’, exposed a worrying shortfall in skills required for a career in AI. Although technical capabilities are vital for a career in the sector, problem solving is considered the most critical soft skill needed for tech roles among all survey participants (up to 37%). However, around a quarter of tech recruiters (23%) have difficulty finding applicants with this aptitude along with shortfalls in critical and strategic thinking. Along with soft skills, 40% of tech job seekers and employees noted that software engineering and knowledge of programming languages are the most important technical capabilities for the AI/tech workforce to have. 

How to address the issue

As AI moves into the mainstream, specialist tech staff are working more closely than ever with business managers. In order to secure the best possible outcomes, the soft skills of interpersonal communication, strategic problem solving, and critical thinking are required across all disciplines to help ensure the most beneficial personal interactions. Demonstrating these skills can greatly Strengthen employability and career developments in AI.

The report showed that offering education and skills training is seen as a top priority for many companies looking to Strengthen AI recruitment in the future. As a result, IBM have already taken proactive steps to help applicants and employees enhance their AI skills.

IBM launched IBM SkillsBuild, which brings together two world-class, skills-based learning programs—"Open P-TECH" and "SkillsBuild"—under one umbrella. Through the program, students, educators, job seekers, and the organisations that support them have access to free digital learning, resources, and support focused on the core technology and workplace skills needed to succeed in jobs. SkillsBuild is a free programme which contains an AI skills module for secondary education students and adults seeking entry-level employment.

Further concerted effort

A great deal remains to be done to solve this skills gap. However, I believe we can agree that a solution is achievable. What’s required now is for industry, government and academia to work together to put existing ideas into practice and to think of new ways to solve the challenge. At the start of the year, the DCMS announced £23 million of government funding to create 2,000 scholarships in AI and data science in England. The new scholarships from this funding will ensure more people can build successful careers in AI, create and develop new and bigger businesses, and will Strengthen the diversity of this growing and innovative sector.  I hope to see further investment and programs such as ours with SkillsBuild as key drivers in change. Finding solutions and initiatives such as these will ensure we are providing a significant boost for the UK while providing a rewarding career for many.

This article was authored by Sreeram Visvanathan, Chief Executive of IBM UK and Ireland

Wed, 27 Jul 2022 03:22:00 -0500 text/html https://www.techuk.org/resource/how-tech-sector-is-significantly-disadvantaged-by-an-ai-skills-shortage.html
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Tue, 26 Jul 2022 14:00:00 -0500 en text/html https://washingtontechnology.com/companies/2022/07/splunk-hires-new-lead-public-sector-exec/374933/
Killexams : With 22.5% CAGR, Graph Database Market Size Estimated to Reach $5.1 billion by 2026
With 22.5% CAGR, Graph Database Market Size Estimated to Reach $5.1 billion by 2026

“Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US),”

Graph Database Market by Type (RDF and LPG), Application (Fraud Detection and Prevention, and Recommendation Engine), Component (Software and Services), Deployment Mode, Vertical, and Region – Global Forecast to 2026

The global Graph Database Market size to grow from USD 1.9 billion in 2021 to USD 5.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 22.5% during the forecast period. Various factors such as need to incorporate real-time big data mining with visualization of results, increasing adoption for AI-based graph database tools and services to drive market, and growing demand for solutions that can process low-latency queries are expected to drive the adoption of graph database solutions and services.

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As per AWS, graph databases are purpose-built to store and navigate relationships. Relationships are first-class citizens in graph databases, and most of the value of graph databases is derived from these relationships. Graph databases use nodes to store data entities and edges to store relationships between entities. An edge always has a start node, end node, type, and direction, and an edge can describe parent-child relationships, actions, ownership, and the like. There is no limit to the number and kind of relationships a node can have.

Technology and service providers have been facing significant disruption to their businesses from COVID-19. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.

The services segment to hold higher CAGR during the forecast period

Based on components, the graph database market is segmented into solutions and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of graph database solutions, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of graph database solutions is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers Strengthen business operations and cut expenses.

The Fraud detection and Prevention segment to hold the largest market size during the forecast period

To protect customer data, mitigate exposure to risk, and deliver the most value to shareholders, organizations are increasingly using graph databases as a fraud detection mechanism. The graph database is one of the top technologies used to detect fraud, uncover fraud rings, and identify sophisticated scams, including eCommerce fraud, corruption, and money laundering. In money laundering and financial fraud, graph database uses pattern recognition, classification, statistical analysis, and ML models to identify fraud from massive amounts of data.

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Some of the key players operating in the graph database market includegh Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US). These graph database vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global graph database market.

Oracle was incorporated in 1977 and is headquartered in California, US. The company is a global leader in delivering a broad spectrum of products, solutions, and services designed to meet the requirements of corporate IT environments, such as platforms, applications, and infrastructure. Oracle’s customers include businesses of various sizes, government agencies, educational institutions, and resellers. The company, directly and indirectly, sells its products and services through a worldwide sales force and Oracle Partner Network, respectively. It specializes in developing, manufacturing, and marketing hardware systems, databases, middleware software, and application software. It provides SaaS offerings that are designed to incorporate emerging technologies, such as IoT, AI, ML, and blockchain. It operates through three business segments: cloud and license, hardware, and services, in more than 175 countries and caters to 4,30,000 customers across banking, telecommunications, engineering and construction, financial services, healthcare, insurance, public sector, retail, and utilities verticals. Graph databases that are part of Oracles convergent database offering eliminate the requirement to set up and move data to a separate database. Analysts and developers can detect fraud in banking, discover relationships and links to data, and increase traceability in smart manufacturing, all while benefiting from enterprise-grade security, ease of data intake, and robust support for data workloads. Oracle offers Oracle Spatial and Graph in the graph database market.

IBM is a multinational technology and consulting corporation founded in the year 1911 and is headquartered in New York, US. It offers infrastructure, hosting, and consulting services and operates through five major business segments: cloud and cognitive software, global business services, global technology services, systems, and global financing. IBM’s product portfolio comprises various segments, such as IoT, analytics, security, mobile, social, and Watson. It caters to various industry verticals that include aerospace and defense, education, healthcare, oil and gas, automotive, electronics, insurance, retail and consumer products, banking and finance, energy and utilities, life sciences, telecommunications, media and entertainment, chemicals, government, manufacturing, travel and transportation, construction, and metals and mining. The company has a robust presence in the Americas, Europe, the MEA, and Asia Pacific and clients in more than 175 countries. IBM is one of the top vendors in the graph database market, owing to the strong portfolio of solutions and services that the company offers in the market. On November 27, 2017, the company announced the retirement of the IBM Graph service. This service was being replaced by Compose for JanusGraph. The graph database technology at the core of IBM Graph, Titan, evolved to JanusGraph, governed by the Linux Foundation.

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Tue, 19 Jul 2022 12:00:00 -0500 GetNews en-US text/html https://www.digitaljournal.com/pr/with-22-5-cagr-graph-database-market-size-estimated-to-reach-5-1-billion-by-2026
Killexams : Raleigh/Durham Cloud Computing News No result found, try new keyword!Landeavor, a residential real estate development company with a presence in Raleigh as well as… Cary, N.C., July 13, 2022 – e-Emphasys Technologies, Inc., a leading global enterprise software ... Mon, 18 Jul 2022 23:43:00 -0500 text/html https://www.bizjournals.com/triangle/news/technology/cloud-computing Killexams : Teleoperation and Telerobotics Market Report 2022: Featuring Key Players IBM, General Electric, Google & Others - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--Jul 20, 2022--

The "Teleoperation and Telerobotics Market by Technologies, Solutions, and Applications for Enterprise and Industrial Automation 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the emerging role of teleoperation and telerobotics in the era of Industry 4.0. The report analyzes the impact of teleoperation and telerobotics solutions in different industry verticals and technology sectors. Key industry verticals evaluated include education, medical, manufacturing, mining, nuclear/hazardous waste management, and transportation.

Select Report Findings:

  • North America will lead the teleoperations and telerobotics market through 2027
  • AI software in support of the teleoperations market will reach $5.3 billion globally
  • Tele-maintenance solutions will grow at highest CAGR during forecasted period globally
  • The global teleoperation and telerobotics market are poised to reach $81.9 billion by 2027
  • Cloud robotics as a service use cases will increase over 70% due to teleoperations solutions

Teleoperation represents the ability to operate equipment or a machine from a distance. A specific form of teleoperation involving remote control of a robot from a distance is referred to as telerobotics. Key teleoperations and telerobotics systems include:

  • Movement: By putting robotic arms on mobile platforms and using teleoperation to control them, robots can be used in places where they could not be used before. These new mobile applications of robots allow them to access areas that are hazardous to humans, while still performing with human-like accuracy.
  • Interaction: Mobile robots need to be lightweight, compact, portable, power-dense, rugged, and efficient. These bots are designed to perform tasks as a human would in an array of difficult environments. By performing tasks once only accessible to humans, mobile robots can be implemented and automated nearly anywhere in the world.
  • Analytics: Using AI and machine learning, mobile manipulators are becoming increasingly autonomous. These machines use algorithms to course correct and learn over time. As mobile robotics become more efficient, they can surpass humans in terms of reliability and risk assessment/management.
  • Vision Technologies: Robots need to be able to visualize and process the world around them. These mobile robots do this through LIDAR, stereo vision, and monocular vision, with sensors for both 2D and 3D imaging. Modern vision systems can locate and track a target in nearly any environment, regardless of traffic or weather.
  • Advanced Communications: Teleoperation requires communication between a human and a robot. This communication needs to be extremely fast with minimal latency to achieve optimal results. 5G technologies are enabling teleoperation with lightning-fast speeds, and new solutions can be developed as a result.

Teleoperation and telerobotics are both supported by ICT infrastructure including broadband communications, sensors, machine to machine (M2M) communications, and various Internet of Things (IoT) technologies. The combination of teleoperations, M2M/IoT, and 5G communications will enable entirely new use cases for robotics, supported by cloud-based robotics as a service business models.

Enhancements in wireless broadband are untethering teleoperation. Prior to 5G and Mobile Edge Computing (MEC), Teleoperation is largely relegated to fixed communications connections. 5G and MEC will enable Teleoperation anywhere there is 5G coverage, enabling many new consumer and industrial automation scenarios involving robotics. In particular, we anticipate realization of substantial benefits as a result of the teleoperation market embracing cloud robotics deployment in conjunction with 5G in private wireless environments.

Advanced IoT systems will also utilize digital twin technology to enable next-generation teleoperation. Digital twinning refers to the mapping of the physical world to the digital world. Coupled with haptic Internet technologies and Virtual Reality (VR), teleoperation and telerobotics market will take a major leap as user interfaces are democratized. No longer will special equipment (often located in special locations and controlled by proprietary systems) be required for control.

In addition, cloud robotics enables teleoperation/telerobotics as a service model, allowing fractional ownership and/or usage on demand. This will greatly expand the availability and usage of machines for industrial as well as enterprise applications. As a result, many smaller companies within a given industry vertical value chain will be able to leverage telerobotics and teleoperation solutions without large capital expenditures.

Key subjects Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Technology and Application Analysis

3.1 Infrastructure Technology

3.2 Software Technology

3.3 Potential Application Analysis

3.4 Use Case Analysis

3.5 Connectivity and Cloud Deployment

3.6 Bilateral Control and Haptic Feedback

3.7 Convergence between IT and OT

3.8 Multi-Access Edge Computing and 5G Network

3.9 Industrial Prosumer

3.10 Connected Service and Teleoperation

4.0 Company Analysis

5.0 Teleoperations and Telerobotics Market Analysis and Forecast 2022 - 2027

6.0 Conclusions and Recommendations

Companies Mentioned

  • ABB Group
  • AGT Robotics
  • AppFolio
  • ARM Holdings
  • Bosch
  • Buildium
  • Calvary Robotics
  • Cisco
  • CloudMinds
  • Console
  • Contiki
  • Digi International
  • Ekso Bionics
  • Entrata
  • General Electric
  • Google
  • H Robotics
  • IBM
  • Intuitive Surgical
  • iRobot
  • Kuka AG
  • London Computer Systems
  • MRI Software
  • Nachi Fujikoshi
  • Omron Corporation
  • Property Boulevard
  • RealPage
  • Rockend
  • TOPS Software
  • Yardi Systems

For more information about this report visit https://www.researchandmarkets.com/r/s5cxh1

View source version on businesswire.com:https://www.businesswire.com/news/home/20220720005500/en/

CONTACT: ResearchAndMarkets.com

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KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY ROBOTICS

SOURCE: Research and Markets

Copyright Business Wire 2022.

PUB: 07/20/2022 07:54 AM/DISC: 07/20/2022 07:54 AM

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Wed, 20 Jul 2022 02:01:00 -0500 en text/html https://www.eagletribune.com/region/teleoperation-and-telerobotics-market-report-2022-featuring-key-players-ibm-general-electric-google-others-/article_99e4d701-df15-514c-bba4-88b739b555b2.html
Killexams : IBM is giving its enterprise server line-up a huge new addition
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IBM is expanding its Power10 line of enterprise servers, introducing new mid-range and scale-out systems.

The tech giant said the new launches were engineered for data-intensive workloads such as SAP S/4HANA, and offers additional ways to implement dynamic capacity, including metering across operating environments such as IBM i, AIX, Linux, and OpenShift.

Will McCurdy has been writing about technology for over five years. He has a wide range of specialities including cybersecurity, fintech, cryptocurrencies, blockchain, cloud computing, payments, artificial intelligence, retail technology, and venture capital investment. He has previously written for AltFi, FStech, Retail Systems, and National Technology News and is an experienced podcast and webinar host, as well as an avid long-form feature writer.

Tue, 12 Jul 2022 05:45:00 -0500 Will McCurdy en text/html https://www.techradar.com/news/ibm-is-giving-its-enterprise-server-line-up-a-huge-new-addition
Killexams : Flash Memory Summit Announces Pre-Conference Education Seminars

Four ½-day Seminars on Cybersecurity, SmartNICs, Flash Controllers, and OMI

SANTA CLARA, Calif., July 27, 2022 /PRNewswire/ -- Today, Flash Memory Summit 2022 (FMS) announces four new education seminars covering the latest subjects in cybersecurity and ransomware, SmartNIC/DPU (Data Processing Unit) storage, SSD controller innovations, and the Open Memory Interface (OMI). The seminars are offered on Monday, August 1, the day before the opening of this year's August 2-4 in-person event at the Santa Clara Convention Center in Santa Clara, CA. Presenters include top engineers from Dell/EMC, Foxconn, IBM, NVIDIA, Silicon Motion, and other leading technology companies.

Paid attendees can choose a morning and an afternoon seminar.

Morning seminars:

Afternoon seminars:

"In the nearly three years since we last met in person at FMS, the memory and storage industries have made great advances," said Chuck Sobey, FMS General Chair. "These seminars provide an efficient and unique opportunity to learn about important new technologies, while meeting top presenters in-person and networking again with peers from across the industry and around the world. Participating in these seminars ensures you get the most benefit from attending FMS."

FMS is the industry's premier showcase for all forms of memory and data storage technology solutions. FMS attracts thousands of attendees each year and 2022 will be no different. The exhibit hall is completely sold out. At FMS 2022, data storage customers will learn about the latest advances in flash memory architecture, QLC flash, and a wide range of volatile and nonvolatile memory technologies such as DRAM, MRAM, ReRAM. And DNA storage. For more information visit https://flashmemorysummit.com/.

About Flash Memory Summit

Flash Memory Summit, produced by Conference ConCepts, showcases mainstream applications, key technologies, leading vendors, and innovative startups driving the multi-billion-dollar high-speed memory and SSD markets. FMS is now the world's largest event featuring trends, innovations, and influencers driving adoption of flash memory and other high-speed memory technologies within demanding enterprise storage applications, high-performance computing, mobile, and embedded systems.

Press Contact

Michelle Suzuki
310-444-7115 
https://flashmemorysummit.com

Cision

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SOURCE Flash Memory Summit

Tue, 26 Jul 2022 22:26:00 -0500 en-AU text/html https://au.finance.yahoo.com/news/flash-memory-summit-announces-pre-172600406.html
Killexams : IBM Report: Consumers Pay the Price as Data Breach Costs Reach All-Time High No result found, try new keyword!IBM Security X-Force discovered the duration of studied enterprise ransomware attacks shows a drop of 94% over the past three years – from over two months to just under four days. Fri, 29 Jul 2022 08:36:00 -0500 https://news.webindia123.com/news/press_showdetailsPR.asp?id=1267486&cat=PR%20News%20Wire Killexams : Fiddler Announces Updates to AI Model Management Platform

SAN FRANCISCO, July 28, 2022 — Fiddler today announced major improvements to its MPM platform, including model ingestion at giga-scale, natural language processing (NLP) and computer vision (CV) monitoring, class imbalance, and an intuitive and streamlined user experience. With these new features, the Fiddler MPM platform is delivering a deeper understanding of unstructured model behavior and performance, and enhanced scalability, discoverability of rare and nuanced model drifts, and ease of use.

According to IBM’s Global AI Adoption Index 2022, a majority of organizations have not taken key steps to ensure their AI is trustworthy and responsible. Such steps include reducing bias (74%), tracking performance variations and model drift (68%), and making sure they can explain AI-powered decisions (61%). By operationalizing machine learning in a safe and trustworthy way and going beyond metrics to explain results, the Fiddler MPM platform makes more transparent AI models a reality.

The combined power of the new Fiddler capabilities will help enterprises across finance, banking, insurance, healthcare, defense, criminal justice, retail, and travel advance their AI efforts and deliver responsible models. Specifically, Fiddler has added capabilities to empower global organizations and Fortune 500 companies to:

  • Monitor NLP and CV – Fiddler will now provide vector monitoring capabilities to help organizations gain a deeper understanding of more complex ML models in production that involve unstructured data such as text, images, embeddings, and intermediate model representations.
  • Address Class Imbalance – While the probability of a low-frequency event occurring is rare, it is also relatively hard to detect. Fiddler helps organizations discover nuanced model drifts in minority segments and surface fraud-like use cases in finance, retail, gaming, manufacturing, and education industries, among others.

Fiddler has also created a single pane of glass UI, providing data science and MLOps teams with command center-like visibility into every model’s behavior and performance across training and production. Teams can view, prioritize, and manage updates, alerts, versions, traffic, and drifts from a centralized homepage. Additionally, customers can now choose where to deploy their models to fit their company’s needs – whether that be on-premises, cloud, or both.

“AI model development is pivotal to our company’s ability to hire, vet, and match the world’s top software development and engineering talent with quality job opportunities,” said Jonathan Siddharth, CEO and Founder, Turing, a Fiddler customer. “We have invested in Fiddler to monitor models and ensure that our AI is consistently fair and explainable. Their platform and new enhancements demonstrate the path forward to making responsible AI a reality for every organization.”

“In order for organizations to be successful with AI, it is critical they ensure that underlying machine learning models are robust to shifts in the data, are not relying on spurious features, and are not unduly discriminating against minority groups,” said Krishna Gade, Founder and CEO, Fiddler. “Our new capabilities provide enterprises with even greater visibility throughout the entire model lifecycle. The ability to understand and explain unstructured data and discover rare but costly model drifts is game changing, and opens up tremendous AI opportunities across a plethora of use cases and a diverse set of industries. With Fiddler, organizations can deliver enterprise-scale AI models that power greater business results and responsible and fair outcomes for consumers.”

To learn more about Fiddler, visit: www.fiddler.ai.

About Fiddler

Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale.

Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.


Source: Fiddler

Thu, 28 Jul 2022 04:00:00 -0500 text/html https://www.datanami.com/this-just-in/fiddler-announces-updates-to-ai-model-management-platform/
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