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Killexams : IBM Analytics test - BingNews https://killexams.com/pass4sure/exam-detail/00M-620 Search results Killexams : IBM Analytics test - BingNews https://killexams.com/pass4sure/exam-detail/00M-620 https://killexams.com/exam_list/IBM Killexams : National Instruments and IBM Testbed Works on Predictive Maintenance

Industrial breakdowns are costly, as are their close cousins: unplanned maintenance to prevent an imminent breakdown. There is a body of evidence that suggests that continuously monitoring industrial equipment to detect early signs of performance degradation or failure is a worthwhile process that will help mitigate lost productivity, expensive repairs, and process inefficiency.

While it’s a great theory, many companies can’t monitor effectively due to aging equipment and a lack of integration of the limited analytics they do have. To try and overcome these challenges, IBM and National Instruments (NI) are working on a test bed project with the goal of developing new predictive maintenance analytics modeling techniques and creating standards for a modern industrial networking environment. Both are members of the Industrial Internet Consortium.

The ultimate goal of the test bed, they say, is to produce a multi-vendor, cloud-based predictive maintenance solution unlike existing platforms. While it operates, the Condition Monitoring and Predictive Maintenance Testbed will engage in continuous online measurements, automated analysis, and balance of plant coverage. IBM will provide the cloud environment and analytics, and NI will supply the monitoring and data acquisition technology.

MORE FROM DESIGN NEWS: Highlights of National Instruments' NIWeek 2015 (Slidehosw)

“To bring industrial equipment up to date by today’s standards, modifications need to be made so that these machines are able to fully harness the potential of the Internet of Things (loT) to provide condition monitoring solutions,” NI’s Stuart Gillen, condition monitoring platform vibration analyst, told Design News. “Combining sensor data from multiple pieces of equipment and/or multiple processes can provide deeper insight into the overall impact of faulty or sub-optimal equipment in advance of catastrophic and costly repairs.”

One of the biggest challenges of the testbed will be to demonstrate the frontiers of analytics as they apply to predictive maintenance. The more data analysis, the better a company can correlate machine data with operational data so maintenance can be optimally scheduled around production requirements. The new solution will be available to new equipment, but is also being geared toward older machinery for the purpose of retrofitting.

“Some of the systems being used in industry for condition monitoring and predictive maintenance today are not open and can’t adapt to all the new sensors being created in the loT,”said Gillen. “NI’s InsightCM software is open to implement new capabilities as needed, and IBM’s Bluemix platform is wide open—it can even handle the interplay of non-traditional data from sources like Twitter and weather forecasts to correlate with production or operations data.”

The sources will ultimately be pulled together by a host of networking technologies, including ZigBee, Bluetooth, Ethernet, and more. Since security is a prime concern in IoT installations, the project will use a multilayer approach, according to Greg Gorman, IBM’s director for Internet of Things.

“The first consideration is just the basic authorization of whether or not the device should be allowed to connect,” Gorman told Design News. “Then, encrypting data to keep it from prying eyes. Also important is ensuring the device isn't being 'faked'; that the device is who it says it is. Finally, end-to-end access control to ensure that people can only access the data from the device (or some of the data) that they are authorized to see,” he said.

IBM, for its part, eventually hopes to go beyond existing data analytics techniques to help the resulting solution gain traction over existing industrial monitoring platforms. While phase one of the test bed will use IBM’s existing analytics technology, PMQ and Maximo, later phases will include advanced technology from Watson, the company’s artificial intelligence system. Gorman says it’s about helping companies do more with less.

“Specialists on machines are expensive to develop, so making the most effective use of them is key,” he said. “Also, just the cost savings from doing predictive maintenance justifies the whole push in this direction -- efficient use of all the resources of the organization -- humans and machines.”

MORE FROM DESIGN NEWS: A Look Inside the Industrial Internet Consortium

Tracey Schelmetic graduated from Fairfield University in Fairfield, Conn. and began her long career as a technology and science writer and editor at Appleton & Lange, the now-defunct medical publishing arm of Simon & Schuster. Later, as the editorial director of telecom trade journal Customer Interaction Solutions (today Customer magazine) she became a well-recognized voice in the contact center industry. Today, she is a freelance writer specializing in manufacturing and technology, telecommunications, and enterprise software.

[image source: National Instruments]

Thu, 07 Jul 2022 12:00:00 -0500 en text/html https://www.designnews.com/automation-motion-control/national-instruments-and-ibm-testbed-works-predictive-maintenance
Killexams : Why Colleges Are Offering Data Science Programs No result found, try new keyword!The Chicago native ended up majoring in data analytics because she saw how valuable ... Education officials analyze test results and grade trends to Boost student performance. Sat, 30 Jul 2022 15:25:00 -0500 text/html https://www.usnews.com/education/best-colleges/articles/why-more-colleges-are-offering-data-science-programs Killexams : IBM Teams Up With Box to Make It Easier to Work in the Cloud No result found, try new keyword!The partnership will focus on three areas -- content management, Watson Analytics and ... of Box and IBM's cloud solutions would allow a hospital to easily share test results with a patient ... Fri, 22 Jul 2022 12:00:00 -0500 en-us text/html https://www.thestreet.com/technology/ibm-teams-up-with-box-to-make-it-easier-to-work-in-the-cloud-13196989 Killexams : Healthcare Analytics Market Top Key Players Analysis | IBM, Elsevier, McKesson Corporation, Oracle and Medeanalytics, Inc.

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

Pune, Aug 05, 2022 (GLOBE NEWSWIRE via COMTEX) -- Pune, Aug. 05, 2022 (GLOBE NEWSWIRE) -- Healthcare Analytics Market by Vendor Assessment, Technology Assessment, Partner & Customer Ecosystem, type/solution, service, organization size, end-use verticals, and Region - Global Healthcare Analytics Market Forecast to 2030, published by Market Data Centre, The Healthcare Analytics Market is projected to grow at a solid pace during the forecast period. The presence of key players in the ecosystem has led to a compsetitive and diverse market. The advancement of digital transformation initiatives across multiple industries is expected to drive the worldwide Healthcare Analytics Market during the study period.

This COVID-19 analysis of the report includes COVID-19 IMPACT on the production and, demand, supply chain. This report provides a detailed historical analysis of the global Healthcare Analytics Market from 2017-to 2021 and provides extensive market forecasts from 2022-to 2030 by region/country and subsectors. The report covers the revenue, sales volume, price, historical growth, and future perspectives in the Healthcare Analytics Market.

Download Free trial PDF@ https://www.marketdatacentre.com/samplepdf/13537

Regional Analysis:

On the basis of Geography, the Global Healthcare Analytics Market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World (RoW). North America is expected to hold a considerable share in the global Healthcare Analytics Market. Due to increasing investment for research and development process and adoption of solutions in the region whereas Asia-Pacific is expected to grow at a faster pace during the forecasted period.

The growing number of Healthcare Analytics Market players across regions is expected to drive market growth further. Moreover, increasing investments by prominent vendors in product capabilities and business expansion is expected to fuel the market during the study period. Many market players are finding lucrative opportunities in emerging economies like China and India, where the large populations are coupled with new innovations in numerous industries.

List of Companies Covered in this Report are:

  • Verisk Analytics, Inc.
  • Elsevier
  • Medeanalytics, Inc.
  • Truven Health Analytics, Inc.
  • Allscripts Healthcare Solutions, Inc.
  • Cerner Corporation
  • McKesson Corporation
  • Optum, Inc.
  • IBM
  • Oracle
  • SAS Institute, Inc.
  • IQVIA
  • Among others.
Market Assessment Technology Assessment Vendor Assessment
Market Dynamics Key Innovations Product Breadth and Capabilities
Trends and Challenges Adoption Trends and Challenges Technology Architecture
Drivers and Restrains Deployment Trends Competitive Differentiation
Regional and Industry Dynamics Industry Applications Price/Performance Analysis
Regulations and Compliance Latest Upgrardation Strategy and Vision


In deep ToC includes

233 - Tables

45 - Figures

300 - Pages

Get Table Of Content of the Report @ https://www.marketdatacentre.com/toc/13537

Table of Contents

1. INTRODUCTION
1.1. Market Definition
1.2. Market Segmentation
1.3. Geographic Scope
1.4. Years Considered: Historical Years - 2017 & 2020; Base Year - 2021; Forecast Years - 2022 to 2030
1.5. Currency Used
2. RESEARCH METHODOLOGY
2.1. Research Framework
2.2. Data Collection Technique
2.3. Data Sources
2.3.1. Secondary Sources
2.3.2. Primary Sources
2.4. Market Estimation Methodology
2.4.1. Bottom-Up Approach
2.4.2. Top-Down Approach
2.5. Data Validation and Triangulation
2.5.1. Market Forecast Model
2.5.2. Limitations/Assumptions of the Study
3. ABSTRACT OF THE STUDY
4. MARKET DYNAMICS ASSESSMENT
4.1. Overview
4.2. Drivers
4.3. Barriers/Challenges
4.4. Opportunities
5. VALUE CHAIN ANALYSIS
6. PRICING ANALYSIS
7. SUPPLY CHAIN ANALYSIS
8. MARKET SIZING AND FORECASTING
8.1. Global - Healthcare Analytics Market Analysis & Forecast, By Region
8.2. Global - Healthcare Analytics Market Analysis & Forecast, By Segment
8.2.1. North America Healthcare Analytics Market, By Segment
8.2.2. North America Healthcare Analytics Market, By Country
8.2.2.1. US
8.2.2.2. Canada
8.2.3. Europe Healthcare Analytics Market, By Segment
8.2.4. Europe Healthcare Analytics Market, By Country
8.2.4.1. Germany
8.2.4.2. UK
8.2.4.3. France
8.2.4.4. Rest of Europe (ROE)
8.2.5. Asia Pacific Healthcare Analytics Market, By Segment
8.2.6. Asia Pacific Healthcare Analytics Market, By Country
8.2.6.1. China
8.2.6.2. Japan
8.2.6.3. India
8.2.6.4. Rest of Asia Pacific (RoAPAC)
8.2.7. Rest of the World (ROW) Healthcare Analytics Market, By Segment
8.2.8. Rest of the World (ROW) Healthcare Analytics Market, By Country
8.2.8.1. Latin America
8.2.8.2. Middle East & Africa

ToC can be modified as per clients' business requirements*

Read Overview of the Report @https://www.marketdatacentre.com/healthcare-analytics-market-13537

Key Questions Answered in This Report:

  • How does our product and services portfolio compare to leading competitors?
  • What are the key developments in customer demand given the changing economy?
  • What are the new pricing and consumption models in the marketplace and how should we align our portfolio?
  • What are the key decision drivers for services buyers?
  • How can we accelerate our bidding process?
  • What is the potential of the Healthcare Analytics Market?
  • What is the impact of COVID-19 on the global Healthcare Analytics Market?
  • What are the top strategies that companies adopting in Healthcare Analytics Market?
  • What are the challenges faced by SME's and prominent vendors in Healthcare Analytics Market?
  • Which region has the highest investments in Healthcare Analytics Market?
  • What are the latest research and activities in Healthcare Analytics Market?
  • Who are the prominent players in Healthcare Analytics Market?
  • What is the potential of the Healthcare Analytics Market?

Vendor Assessment

Vendor assessment includes a deep analysis of how vendors are addressing the demand in the Healthcare Analytics Market. The MDC CompetetiveScape model was used to assess qualitative and quantitative insights in this assessment. MDC's CompetitiveScape is a structured method for identifying key players and outlining their strengths, relevant characteristics, and outreach strategy. MDC's CompetitiveScape allows organizations to analyze the environmental factors that influence their business, set goals, and identify new marketing strategies. MDC Research analysts conduct a thorough investigation of vendors' solutions, services, programs, marketing, organization size, geographic focus, type of organization and strategies.

Technology Assessment

Technology dramatically impacts business productivity, growth and efficiency.Technologies can help companies develop competitive advantages, but choosing them can be one of the most demanding decisions for businesses. Technology assessment helps organizations to understand their current situation with respect to technology and offer a roadmap where they might want to go and scale their business. A well-defined process to assess and select technology solutions can help organizations reduce risk, achieve objectives, identify the problem, and solve it in the right way. Technology assessment can help businesses identify which technologies to invest in, meet industry standards, compete against competitors.

Business Ecosystem Analysis

Advancements in technology and digitalization have changed the way companies do business; the concept of a business ecosystem helps businesses understand how to thrive in this changing environment. Business ecosystems provide organizations with opportunities to integrate technology in their daily business operations and Boost research and business competency. The business ecosystem includes a network of interlinked companies that compete and cooperate to increase sales, Boost profitability, and succeed in their markets. An ecosystem analysis is a business network analysis that includes the relationships amongst suppliers, distributors, and end-users in delivering a product or service.

Get a trial Copy of the Report @https://www.marketdatacentre.com/sample/13537

Regions and Countries Covered

North America (US, Canada), Europe (Germany, UK, France, Spain, Italy, and Rest of Europe), Asia-Pacific (Japan, China, Australia, India, Rest of Asia-Pacific), and Rest of the World (RoW).

Report Coverage

Healthcare Analytics Market Dynamics, Covid-19 Impact on the Healthcare Analytics Market, Vendor Profiles, Vendor Assessment, Strategies, Technology Assessment, Product Mapping, Industry Outlook, Economic Analysis, Segmental Analysis, Healthcare Analytics Market Sizing, Analysis Tables.

Buy Exclusive Report @ https://www.marketdatacentre.com/checkout/13537

About MDC:

Market Data Centre (Subsidiary of Yellow Bricks Global Services Private Limited)

Market Data Centre offers complete solutions for market research reports in miscellaneous businesses.These decisions making process depend on wider and systematic extremely important information created through extensive study as well as the most latest trends going on in the industry.The company also attempts to offer much better customer-friendly services and appropriate business information to achieve our clients' ideas.

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

Fri, 05 Aug 2022 01:19:00 -0500 en-US text/html https://www.marketwatch.com/press-release/healthcare-analytics-market-top-key-players-analysis-ibm-elsevier-mckesson-corporation-oracle-and-medeanalytics-inc-2022-08-05
Killexams : The biggest enterprise technology M&A deals of the year

The first half of 2022 was one of the busiest on record for M&A activity, according to risk management advisor Willis Towers Watson: Only 2021 and 2015 were busier. But deals are taking longer to close, on average, and are not always beneficial to buyers, who underperformed the wider stock market by 4.8 percentage points, WTW said.

That’s not stopping enterprise software and service providers, though: They are continuing to buy their way into new markets and to acquire new capabilities rather than develop them in house.

For CIOs, these deals can disrupt strategic rollouts, spell a need to pivot to a new solution, mean the potential sunsetting of essential technology, provide new opportunities to leverage newly synergized systems, and be a bellwether of further shifts to come in the IT landscape. Keeping on top of activity in this area can help your company make the most of emerging opportunities and steer clear of issues that often arise when vendors combine.

Here CIO.com rounds up of some of the most significant tech M&As of latest months that could impact IT.

IBM observes gap in its portfolio, buys Databand.ai

IBM has acquired Israeli data observability specialist Databand.ai to beef up its IT operations performance management portfolio alongside Instana APM and IBM Watson Studio. Since CEO Arvind Krishna took over in April 2020, IBM has been pursuing a strategy of making small acquisitions — over 25 of them so far — to fill gaps in its offerings.

Ensono adds AndPlus to portfolio

Managed solutions provider Ensono has bought AndPlus, a data engineering firm, continuing a run of acquisitions of small cloud consulting companies: In January, it snapped up ExperSolve, which specializes in moving and modernizing mainframe applications, and last year bought Amido. Ensono is owned by KKR, the owner of BMC Software.

IFS adds Ultimo to its EAM offering

IFS has expanded the enterprise asset management (EAM) capabilities of its ERP platform with the acquisition of Dutch software vendor Ultimo. IFS will continue to offer Ultimo’s software as a stand-alone solution.

ParkourSC adds IoT to SCM

ParkourSC, a Silicon Valley supply chain software company backed by Intel Capital, has bought IoT networking company Qopper, which was founded by ParkourSC CTO Alok Bhanot.

Zendesk goes private at knock-down price

CRM vendor Zendesk has agreed to be acquired by investment firms Hellman & Friedman and Permira. The two investors will pay around $10.2 billion to take Zendesk private, they announced on June 24. It’s a bargain for Permira and H&F, which also own stakes in cloud customer contact center vendor Genesys: In February, as part of a consortium of bidders, they offered $17 billion for Zendesk, which turned them down saying the offer undervalued the company. At around that time, Zendesk abandoned plans to buy Momentive Global (formerly Survey Monkey) for around $4 billion.

IBM to buy Randori

IBM has bought Randori, a specialist in attack surface management and offensive cybersecurity. It’s Big Blue’s fourth acquisition this year, after buying cloud consultants Neudesic and Sentaca in February, and environmental performance management company Envizi in January.

ServiceNow to buy Hitch Works

ServiceNow has agreed to buy skills mapping company Hitch Works, with the goal of helping its customers fill talent gaps through staff training.

Digital transformation consulting company ICF is adding to the services it offers US government clients with the acquisition of SemanticBits, a health services software provider. Late last year it also bought health analytics vendor Enterprise Science and Computing (ESAC) and service provider Creative Systems and Consulting, both of which serve US federal agencies.

Epicor adds EDI to its ERP platform with Data Interchange buy

Epicor continues to expand its ERP platform capabilities through acquisition. On June 7, it bought UK-based Data Interchange, the operator of a global EDI network and developer of software for order processing and EDI mapping.

ScanMarket joins Unit4

SaaS ERP vendor Unit4 has bought source-to-contract cloud software vendor ScanMarket to beef up its source-to-pay offering to midmarket service industry customers.

McKinsey buys data architecture and engineering company

McKinsey doesn’t just advise on mergers and acquisitions; it also makes them. A case in point: Its June 1 purchase of Caserta, the company that built its internal knowledge management platform. McKinsey expects the acquisition to benefit its data transformation work for its clients.

Instaclustr continues acquisitive streak for NetApps

NetApps closed its acquisition of Instaclustr on May 24. The service provider supporting open-source database, pipeline, and workflow applications in the cloud will join the Spot by NetApp portfolio, the collection of SaaS tools built around the cloud management and cost optimization company NetApp bought earlier in 2022.

Panasonic plans IPO of latest acquisition Blue Yonder

Barely a year after buying Blue Yonder, a vendor of supply-chain management software as a service, Panasonic is looking to sell it again as it pursues a new strategic direction. Panasonic said in mid-May that it will combine Blue Yonder with its Gemba Process Innovation activities and seek a stock exchange listing for the new entity. It has not set a timetable for the sale.

Augury adds process intelligence to machine health offering

Augury, an industrial IoT vendor specializing in monitoring machine health, has paid over $100 million for process intelligence vendor Seebo. Augury plans to combine the two companies’ AI-based tools to help manufacturing companies to balance quality and throughput with energy consumption, emissions, and waste.

SAP service providers join forces

Codestone Group has bought Clarivos. The two provide services around SAP’s ERP, analytics, and enterprise performance management (EPM) tools.

Perforce Software buys Puppet

Perforce Software, a privately held provider of software development tools, has agreed to buy the infrastructure automation software platform Puppet. Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter.

Infosys buys oddity for digital marketing capabilities

The appetite of Indian IT service companies for European acquisitions is still unsated. Infosys has bought oddity, a German provider of digital marketing services that also has offices in Taipei and Shanghai. Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018.

Microsoft buys Minit to optimize process automation

Microsoft has bought Minit, a developer of process mining software, to help its customers optimize business processes across the enterprise, on and off Microsoft Power Platform. The acquisition will help it extract process data from enterprise systems such as Oracle, SAP, ServiceNow, and Salesforce to identify process bottlenecks that can be optimized or automated.

NTT Data adds Vectorform to service portfolio

Global IT services giant NTT Data has bought another sliver of market share and added some new capabilities with its acquisition of Vectorform, an 80-person digital transformation consultancy based in Detroit. With Vectorform, NTT Data is looking to grow its customer experience and product development services across industries.

Celonis buys Process Analytics Factory

Process mining giant Celonis has snapped up Process Analytics Factory, a small German company specializing in process optimization on Microsoft’s platforms. Celonis started out helping enterprises optimize SAP workloads, and now its acquisition of the developer of PAFnow will help it broaden its access to the Power BI and Power Platform markets.

Equinix buys West African data center company for $320 million

Global data center operator Equinix expanded its capability and connectivity in West Africa in early April with the $320 million acquisition of MainOne, which offers services in Ghana, Nigeria, and Côte d’Ivoire. MainOne has just opened its fourth data center, in Lagos.

Nvidia buys block storage software developer Excelero

With $40 billion in spare cash to spend after its bid for chip designer Arm fell through, Nvidia is turning to smaller acquisitions to build its capabilities. In early March it announced its second of 2022, Excelero, which develops software for securing and accelerating arrays of flash storage for use in enterprise high-performance computing.

NetApp buys Fylamynt for cloud ops automation

NetApp added some new functionality to its portfolio of cloud management tools in late February with the acquisition of Fylamynt, a young low-code cloud ops automation company. Its aim is to help customers automate the deployment of Spot by NetApp services.

Vendr buys SaaS platform Blissfully to simplify buying SaaS

SaaS vendor management platform Vendr is buying SaaS management platform vendor Blissfully. Vendr aims to offer finance and procurement teams savings on the purchase of SaaS services, while Blissfully helps enterprises identify what software they own and where they can save money.

Test automation: Tricentis buys Testim

Software test automation vendor Tricentis has bought Testim, the developer of an AI-based SaaS test automation platform, to expand its continuous testing solutions. Tricentis hopes Testim’s platform will make it easier for customers to create tests that scale and change with their software.

Phenom pairs with Tandemploy on talent experience management

HR technology company Phenom has snapped up another talent experience management company. This time it’s the German Tandemploy, which Phenom hopes will help it better recommend pairings among peers, mentors, project leaders, and subject matter experts.

Atlassian buys Percept.ai

Atlassian has acquired chatbot developer Percept AI and plans to add its virtual agent technology to its Jira Service Management IT support tool. The idea is that it will automate the gathering of necessary context before passing them to human operators to help resolve cases faster. It’s Atlassian’s sixth ITSM acquisition in four years.

Microsoft to buy Activision Blizzard for $68.7 billion

Microsoft has agreed to buy games developer Activision Blizzard, it said on Jan. 18, 2022. The price tag, a whopping $68.7 billion, dwarfs even the $19.7 billion Microsoft paid for Nuance Communications last year or the $26.2 billion it paid for LinkedIn in 2018.

Activision Blizzard’s apps are not typically authorized on enterprise networks, but there’s a chance its technology for creating and animating virtual worlds could make it into the workplace. Microsoft said the acquisition will provide it the building blocks for the metaverse — a term for a virtual reality space where people interact for purposes of work or entertainment.

If so, that could make the virtual office a more pleasant sight than the blurred backgrounds and disembodied heads we see in Teams today — and prompt a wave of hardware refreshes to support the additional graphics workload.

Lansweeper acquires UMAknow

IT asset management platform Lansweeper has acquired UMAknow, the developer of Cloudockit. As Lansweeper scans on-premises computing environments, Cloudockit compiles architecture diagrams and documents users’ assets in the cloud.

Precisely buys PlaceIQ

Data integrity specialist Precisely kicked off 2022 by buying PlaceIQ, a provider of location-based consumer data. It’s Precisely’s fifth acquisition since itself changing ownership last March. Other purchases include weather data provider Anchor Point and MDM software vendor Winshuttle.

Aptean jets into Austrian ERP market

Continuing along its flight path of acquiring small regional or industry-specific ERP vendors, Aptean has bought Austrian software vendor JET ERP, its fourth latest acquisition in the country.

Indian IT services companies acquire near-shoring operations in Europe

Indian IT services provider Tech Mahindra is expanding its offering to insurance, reinsurance, and financial firms with the acquisition of Com Tec Co IT, a custom software developer with 700 staff in Latvia and Belarus skilled in modern technologies, including AI, ML, and devsecops, for €310 million, while another Indian company, HCL Technologies, has acquired Starschema, a Hungarian data- and software-engineering service provider with offices in Budapest and Arlington, Va.

Sage swallows Brightpearl

Midmarket ERP vendor Sage closed its acquisition of Brightpearl on Jan. 18. It plans to integrate Brightpearl’s e-commerce management software with its Intacct cloud-based financial applications.

Nvidia buys Bright Computing

With its giant bid for microprocessor designer ARM now abandoned, Nvidia is turning to smaller deals to bolster its capabilities. In early January, it bought Bright Computing, a developer of software for managing the high-performance computing clusters that Nvidia’s chips are used in when they’re not mining cryptocurrencies or rendering games.

Oracle buys part of Verenia’s CPQ business

Oracle has acquired Verenia’s NetSuite-based configure-price-quote business in order to add native CPQ functionality to NetSuite. Verenia retains its non-NetSuite product lines.

Fri, 09 Apr 2021 08:13:00 -0500 en-US text/html https://www.cio.com/article/196371/the-biggest-enterprise-technology-ma-deals.html
Killexams : How IBM's Watson Could Disrupt Medical Imaging

Expect some major changes now that IBM is spending $1 billion to acquire Merge Healthcare, says IHS analyst Stephen Holloway.

Chris Newmarker

IBM and its Watson supercomputer are set to have a big impact on radiology and medical imaging once IBM's $1 billion purchase of Merge Healthcare closes, according to a new analyst report.

Chicago-based Merge Healthcare's medical imaging management platform is used at more than 7500 U.S. healthcare sites, as well as many of the world's  leading clinical research institutes and pharmaceutical firms. Stephen Holloway, associate director for IHS Inc., notes that the deal will provide Watson access to more than a half billion medical images stored in Merge's enterprise archive storage platform.

The goal at IBM (Armonk, NY) is to enable Merge's customers to use the Watson Health Cloud to analyze and cross-reference medical images against a deep trove of lab results, electronic health records, genomic tests, clinical studies, and other health-related data sources. IBM officials think there is a desire in the healthcare field for such imaging analytics. According to IBM, radiologists in some hospital emergency rooms are presented with as many as 100,000 images a day.

Holloway lists three ways IBM's Watson could spur what he describes as a new era of radiology:

1. It could disrupt the dominance of medical imaging 'big guns.'

IBM represents a deep-pocketed entrant into a market that has been dominated by six companies--GE Healthcare, Philips Healthcare, Siemens Healthcare, Toshiba Medical Systems, Hitachi Medical, and Samsung. Most of these vendors already have their own radiology IT platforms that they've bundled with the hardware, Holloway says.

The arrival of image storage and management software vendors such as Merge and Lexmark Healthcare has already eroded traditional imaging vendor share in latest years. "If IBM can make Watson AI products for image analytics clinically relevant and seamlessly integrate these tools into the EMR, control of the radiology IT market will increasingly shift away from traditional radiology IT vendors. It may even force a departure of industrial medical imaging suppliers away from IT software all-together, as most do not have the big data or analytics capability to compete," Holloway says.

2. A radiologist versus artificial intelligence turf war?

In the short term, Watson will likely provide decision-support tools, similar to the computer aided diagnosis software for breast imaging that has assisted radiologist reporting. But in the long term, look out for Watson joining the dots by drawing on a wealth of other medical diagnostic information gathered from the health and medical record data of a huge population.

"If this happens, radiologists may increasingly find themselves redefining their role in care provision," Holloway says.

3. New ethical and legal issues        

Bringing artificial intelligence into healthcare could spark a whole host of ethical and legal issues, according to Holloway.

"Will AI decision-support tools remain just so, as decision support tool, or will over-time the judgement of physicians be called into question? With increasing electronic tracking of care management and metrics to ensure quality of care and drive efficiency, will reliance on such analytics override physician diagnosis?" Holloway says.

Watson's advice could even conceivably become evidence in a lawsuit against a physician over an incorrect diagnosis.

"What is certainly clear though, is that radiology will likely never be the same again," Holloway says.

Refresh your medical device industry knowledge at MEDevice San Diego, September 1-2, 2015.

Chris Newmarker is senior editor of Qmed and MPMN. Follow him on Twitter at @newmarker.

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Tue, 12 Jul 2022 12:00:00 -0500 en text/html https://www.mddionline.com/how-ibms-watson-could-disrupt-medical-imaging
Killexams : SD Times news digest: Amazon Personalize, Testim raises $10 million, SwiftStack’s big data analytics solution and IBM’s AutoAI

AWS announced its machine learning technology Amazon Personalize is now available. This brings the technology used in Amazon’s website AWS to developers to incorporate into their own applications.

According to the company, developers can take advantage of product recommendations, individualized search results and customized direct marketing, while Amazon handles the infrastructure and machine learning pipeline.

“These artificial intelligence services, like Amazon Personalize, do not require any machine learning experience to immediately train, tune, and deploy models to meet their business demands,” said Swami Sivasubramanian, vice president of machine learning at Amazon Web Services, Inc.

Testim raises $10 million for its AI based software testing solution
AI-based software testing company Testim announced that it received $10 million in Series B funding, bringing their total capital to $19.5 million.

In a press release, Testim explained it will use the funds to invest in its AI-software testing solution to address the demand for continuous testing “allowing development teams to move at the speed of business without compromising software quality.” It also plans to invest in its mobile app test automation platform, which is in early access.

“To remain competitive, software teams must move faster than ever,” said Oren Rubin, founder and CEO of Testim. “We are helping them test more with much less effort, reducing their release risk and increasing their velocity to market.”  

SwiftStack announces new big data analytics solution for hybrid and multi cloud
SwiftStack, providers of multi-cloud data storage and management, announced a data analytics solutions that boasts up to 10 times higher performance, according to the company.

The solution is built for data-driven workloads using popular frameworks and applications like Hadoop, Spark, Presto, TensorFlow, and Hive and enables users to create an AI/ML data pipeline.

“We’re seeing an ever-increasing demand to extract value from data with AI and analytics workloads, and bringing the data closer to compute anywhere, with high performance and low cost is consistently becoming a challenge for enterprises,” said Dipti Borkar, Alluxio vice president of product and marketing at SwiftStack. “SwiftStack’s data analytics solution solves this problem by providing a cost effective yet high performance and rich alternative to power modern data-intensive workloads.”

IBM adds AutoAI to Watson
IBM added a new AutoAI capability to Watson Studio on IBM Cloud that aims to speed up data processes through automation. IBM said that this new capability will free up time for data scientist to work on deploying ML models.

“We have seen that complexity of data infrastructures can be daunting to the most sophisticated companies, but it can be overwhelming for those with little to no technical resources,” said Rob Thomas, general manager of IBM Data and AI. “The automation capabilities we’re putting Watson Studio are designed to smooth the process and help clients start building ML models and experiments faster.”

In addition, AutoAI contains a suite of model types for enterprise data science, such as gradient boosted trees, and is engineered to let users quickly scale ML experimentations and deployment processes, IBM explained in a post.

Apollo raises $22 million for GraphQL-based data graph
GraphQL API technology provider Apollo raised $22 million in growth funding.

The company plans to utilize the money to advance its Data Graph Platform, which allows app developers to build a data graph on top of their company’s existing APIs.

“We need to do more to support and empower app developers,” said Geoff Schmidt, co-founder and CEO of Apollo. “Our goal is for every company in the world to run on a data graph so that app developers can spend their time building great things for the rest of us.

Sat, 11 Jun 2022 12:00:00 -0500 en-US text/html https://sdtimes.com/softwaredev/sd-times-news-digest-amazon-personalize-testim-raises-10-million-swiftstacks-big-data-analytics-solution-and-ibms-autoai/
Killexams : Altair Gives Legacy SAS Code a New Place to Run

(ArtemisDiana/Shutterstock)

American companies that have relied on SAS-based data analytics routines for decades but would like to separate themselves from the SAS Institute and its maintenece fees may be interested in another SAS runtime option that recently became available from Altair.

For decades, SAS Institute was the dominant provider of analytics software, based on the widespread use of the Statistical Analysis System (SAS) language that its co-founders, including SAS CEO Jim Goodnight, created in the late 1960s at North Carolina State University. The SAS code and SAS Institute’s tools and runtime engines spread into all industries, cementing themselves as the undisputable standard for corporate analytics in the US and abroad.

But that analytic hegemony has been tested in latest years thanks to the rise of open languages like Python and R. The meteoric rise of Python, in particular, has many companies casting their analytic bets with the uber popular scripting language, which can be used to program a slew of data-related tasks, including data engineering, analytics, and AI.

SAS–the Cary, North Carolina company–has made inroads with the open analytic community. The company, which boasted 83,000 customers in 147 countries supports just a few years ago, has supported Python in AI and analytic libraries in Viya, its modern flagship offering that it’s encouraging its giant installed base to migrate to.

SAS is considered to be the world’s largest privately held software company, with 2019 revenues of $3.1 billion (JHVEPhoto/Shutterstock)

However, by all accounts, there remains a sizable group of SAS customers with large amounts of SAS code that has not been moved into Viya. Much of this SAS code has run reliably for decades on platforms ranging from Windows desktops to giant IBM System Z mainframes and Power servers. In many cases, the original SAS developers have long since left the companies, leaving efficient and reliable SAS code as their legacy.

While many of these customers would prefer to have their routines in a more “modern” environment like Python, that’s not an easy journey. The lack of good code converters means that a move from SAS to Python is practically a rewrite, which raises red flags for risk-averse corporations. As a result, many of these companies are loathe to touch the SAS code, and they continue to pay licensing fees to the SAS company for the right to execute it.

It’s a classic case of “If it ain’t broke, don’t fix it,” according to Mark Do Couto, senior vice president of data analytics at Altair Engineering.

“For the most part, a lot of the organizations are just leaving that component of the business as-is,” Do Couto said. “They just continue to hit the run button, so they know it works, and they know they can get the output. And they continue to work with SAS to keep things status quo.”

Compiler and Runtime Alternative

About 20 years ago, a UK company named World Programming decided to go head-to-head with the analytics giant SAS. The company devised a compiler and a runtime for SAS code, called WPS Analytics, and began selling it to SAS customers in the UK’s finance, telecommunications, and healthcare industries.

Eventually, World Programming began selling to companies in Asia who wanted an alternative to the official runtime from SAS. Hundreds of companies in Europe and Asia eventually were users of the SAS runtime alternative.

SAS did not take the challenge sitting down. The company sued World Programming in Europe and the US. All of the lawsuits in Europe were resolved in World Programming’s favor, according to Do Couto, while SAS won one legal challenge in the US (which hinged on the copying of SAS Institute support materials into WPS support documentation). That case resulted in an injunction against the company operating in the large US market, which World Programming had never successfully penetrated.

When Altair acquired World Programming for an undisclosed sum in December 2021, it was fully aware of the company’s legal situation. Earlier this year, Altair paid the remainder of the balance due on the US legal settlement, and a judge in March cleared the way for sales to resume, according to Do Couto. “So Now Altair has green light to sell it to all of our customers and potential customer across the world,” he said.

The WPS environment is remarkably good at compiling and running SAS source code without many changes, according to Do Couto.

“It’s not 100%. It’s in the 90s–92% to 93%,” he told Datanami in a latest interview. “The things that don’t run are either syntax errors, a challenge in the way the code was originally written, or a very small amount of procedures that SAS has in their language that are very rarely used.”

When customers do run into unsupported procedures, the WPS team typically will work to support it in the compiler and runtime, Do Couto said. That has been the World Programming business model for years.

The savings that customers can get by moving to the WPS environment and eliminating the SAS maintenance fees is one thing. But such a move can also free up SAS code to run on bigger, newer machines that customers have been hesitant to install for fear of triggering even bigger price increases, according to Do Couto.

“Their annual license fee is probably going up 2% to 3% or whatever CPI might be for them,” Do Couto said. “But they know if they upgrade their hardware, there’s probably going to be a software cost increases because of the hardware component. So this gives our customers the opportunity to finally upgrade that hardware and not do it at the detriment of a potential license fee increase.”

Opening SAS

Altair supports the WPS SAS runtime on industry standard servers, as well as IBM mainframes and Power boxes running IBM i, AIX, and Linux operating systems. These “big iron” platforms have their own legacy application challenges that customers are dealing with, so it’s not surprising that SAS code that has successfully run OLAP routines for customers for decades are grouped in with legacy ERP and OLTP systems that corporations are eager to modernize and refresh.

Customers can work with SAS code inthe WPS Analytics Workbench (Image courtesy Altair)

“Some of the biggest logos out there, we know they have run SAS for years,” Do Couto said. “They have SAS in their environment. A lot of it is legacy code that’s stuck into their ETL, their reporting, their dashboarding. And it’s basically on its own internal run cycle.  Nobody is really doing anything with the code. They’re just running it.”

The ability to essentially copy and paste that aging SAS code into a new runtime and get out from under the obligation of paying SAS maintenance fees is likely to be something that SAS customers provide some thought. Many will likely stay with SAS, which has made some enhancements to the language but is really focused on getting customers to move to Viya. For others, a move away from SAS may be the right one.

“For us, it’s a huge opportunity,” Do Couto said. “We don’t know the exact cost of every single renewal and contract that these organizations have with SAS. But we can imagine it’s fairly large.  And giving customers a choice of where they can run the code without redoing it–it’s exciting for us and it’s exiting for our customers.”

The New Legacy

With the legal issues behind it, Altair is eager to begin selling into the massive SAS installed base, particularly in the US, which has never really been touched by World Programming’s offering. The Troy, Michigan, company is touting its licensing model that revolves around Altair Units–which allows customers to use any of the Altair data analytics products–as another benefit that will bring value to former SAS customers.

“So not only do they get access to the code engine, if you will, but they also get access to our data preparation tool, data science tools, our visual dashboarding tool, and our SmartWorks tool that’s cloud native,” Do Couto said. “It’s not only giving them the flexibility to run that code, but it’s the flexibility of looking at a whole platform and product portfolio.”

Python may be the standard for current data projects, but the installed base of SAS code is immense and won’t likely be converted anytime soon (dTosh/Shutterstock)

Altair has started to more deeply integrate the SAS code into its existing environment. Companies can already work with SAS code in Knowledge Studio, the company’s data science platform, which gives customers the ability to work in SAS and even export predictive models in the SAS language that can subsequently be executed on the WPS kit. And it’s currently working to integrate the SAS language more deeply with SmartWorks.

Somewhat ironically, the whole World Programming exercise has resulted in Do Couto gaining a greater degree of respect for the SAS language environment. Do Couto, who was already familiar with the WPS environment while working at Agnoss (which was acquired by Datawatch in 2018 just before Altair bought Datawatch), has a new perspective on SAS’s continued relevance in the modern Pythonic age.

“I’ll be honest. Originally when I was going through this, [I thought] Python was the way of the future,” he said. “Python was the code that was better. Everyone you talk to has said that. It makes a lot of sense. It’s continually being enhanced with the community. Obviously it’s great….[But] there are things that just run better and more efficiently in SAS than Python.”

Considering how big a lift moving from SAS to Python will be for most companies–especially the large American corporations with hundreds of thousands of lines of SAS code that have run reliably, day in and day out, for decades–Altair will be quite happy to continue to provide customers the support they need to move to Python or to just keep running the existing SAS code.

“We’re giving them an environment where they can see, is [Python] going to perform better than what they’re already doing in that already-written SAS language code that they have?” he said. “There may be some things that don’t make sense to move or transition over.”

At a latest Gartner event that Do Couto attended, analysts urged caution in moving too quickly from SAS to an all-Python environment.

“If you do a full transition to Python and you’re in an all-Python environment, what is 15 to 20 years from now going to look like?” he said. “Is there going to be another code language, and is their Python code environment going to be the same challenge that customers have now with their SAS language?”

At the end of the day, the SAS legacy will stand as one of the greatest in the history of data analytics. But as Dr. Goodnight nears retirement, there are questions about what will become of the company that he has successfully led for so many years. No matter how solid the SAS products are, the tide of open source analytics, and Python in particular, are pulling against the company. How long will that last? Only time will tell.

But thanks to its acquisition of World Programming, Altair is positioned to let customers continue to run their SAS code, or transition to newer coding environments. Giving customers a choice in analytics environment makes good business sense for Altair and its customers, Do Couto said.

“We don’t want our customers to feel like they need to be siloed in one code environment. We think a multi-code environment makes a lot of sense and there’s a lot of value to that,” he said. “We’ve always been pro open source and pro-choice, and giving our customers an environment that they have that flexibility–that’s what we’re going to lead with and want our customer to be trained in, and understand that once it’s in there running, then you can make decisions for the future.”

Related Items:

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SAS Charts AI Future, But Doesn’t Forget Analytics Past

Mon, 01 Aug 2022 12:00:00 -0500 text/html https://www.datanami.com/2022/08/02/altair-gives-legacy-sas-code-a-new-place-to-run/
Killexams : IBM acquires Israeli startup Databand to boost data capabilities

US tech giant IBM said Wednesday that it acquired Israeli startup Databand.ai, the developer of a data observability software platform for data scientists and engineers, to strengthen the multinational’s data, artificial intelligence, and automation offerings.

The terms of the acquisition were not disclosed. According to the agreement, Databand employees will join the IBM Data and AI division to further enhance IBM’s portfolio of data and AI products including its IBM Watson, a question-answering computer system, and IBM Cloud Pak for Data, a data analytics platform.

IBM said the acquisition was finalized in late June and that the purchase will build on IBM’s research and development investments, as well as strategic acquisitions in AI and automation. Databand is IBM’s fifth acquisition this year, the company noted.

Databand was founded in 2018 by Josh Benamram, Victor Shafran, and Evgeny Shulman, and rolled out a software platform that the company says helps enterprises and organizations get on top of their data to ensure “data health” and fix issues like errors and anomalies, pipeline failures, and general quality.

The data observability and data quality market is likely to see further growth, as more organizations look to closely track and protect their data. A Statista report estimated that the sector will grow from about $13 billion in worth in 2020 to almost $20 billion in 2024.

Based in Tel Aviv, Databand has raised about $20 million, according to the Start-Up Nation Finder database, with investors such as VCs Accel, Blumberg Capital, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2 Ventures.

“By using Databand.ai with IBM Observability by Instana APM [an application performance monitoring solution] and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations,” IBM said in the announcement Wednesday.

“Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don’t have access to the data they need in any given moment, their business can grind to a halt,” said Daniel Hernandez, general manager for IBM Data and AI, in a statement.

“With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale,” he explained.

Benamram, who serves as Databand CEO, said: “You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted –including customers. That’s why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts.

Joining IBM will help Databand “scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients,” he added.

Databand is one of a number of leading Israeli data observability companies including Coralogix, which raised a $142 million Series D funding round announced in May, and Monte Carlo, which secured a $135 million Series D round at a valuation of $1.6 billion, also in May.

Separately, IBM has been active in Israel for decades and runs an R&D center in Tel Aviv and a research lab in Haifa.

The Haifa team is the largest lab of IBM Research Division outside of the United States. Founded as a small scientific center in 1972, it grew into a lab that leads the development of innovative technological products and cognitive solutions for the IBM corporation. Its various projects utilize AI, cloud data services, blockchain, healthcare informatics, image and video analytics, and wearable solutions.

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Wed, 06 Jul 2022 06:54:00 -0500 en-US text/html https://www.timesofisrael.com/ibm-acquires-israeli-startup-databand-to-boost-data-capabilities/
Killexams : EdTech and Smart Classrooms Market Analysis by Size, Share, Key Players, Growth, Trends & Forecast 2027

"Apple (US), Cisco (US), Blackboard (US), IBM (US), Dell EMC (US),Google (US), Microsoft (US), Oracle(US),SAP (Germany), Instructure(US)."

EdTech and Smart Classrooms Market by Hardware (Interactive Displays, Interactive Projectors), Education System Solution (LMS, TMS, DMS, SRS, Test Preparation, Learning & Gamification), Deployment Type, End User and Region - Global Forecast to 2027

MarketsandMarkets forecasts the global EdTech and Smart Classrooms Market to grow from USD 125.3 billion in 2022 to USD 232.9  billion by 2027, at a Compound Annual Growth Rate (CAGR) of 13.2% during the forecast period. The major factors driving the growth of the EdTech and smart classrooms market include increasing penetration of mobile devices and easy availability of internet, and growing demand for online teaching-learning models, impact of COVID-19 pandemic and growing need for EdTech solutions to keep education system running.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=1066

Interactive Displays segment to hold the highest market size during the forecast period

Interactive displays helps to collaborate teaching with tech boost social learning. As per a study it has been discovered that frequent group activity in classrooms, often aided by technology, can result in 20% higher levels of social-emotional skill development. Students in these classes are also 13% more likely to feel confident contributing to class discussions. Interactive display encourages the real time collaboration. SMART Boards facilitate the necessary collaboration for students to develop these skills. Creating an audience response system on the interactive display allows students to use devices to participate in class surveys, quizzes, and games, and then analyse the results in real time. A large interactive whiteboard (IWB), also known as an interactive board or a smart board, is a large interactive display board in the shape of a whiteboard. It can be a standalone touchscreen computer used to perform tasks and operations on its own, or it can be a connectable apparatus used as a touchpad to control computers from a projector. They are used in a variety of settings, such as classrooms at all levels of education, corporate board rooms and work groups, professional sports coaching training rooms, broadcasting studios, and others.

Cloud deployment type to record the fastest growth rate during the forecast period

Technology innovation has provided numerous alternative solutions for businesses of all sizes to operate more efficiently. Cloud has emerged as a new trend in data centre administration. The cloud eliminates the costs of purchasing software and hardware, setting up and running data centres, such as electricity expenses for power and cooling of servers, and high-skilled IT resources for infrastructure management. Cloud services are available on demand and can be configured by a single person in a matter of minutes. Cloud provides dependability by storing multiple copies of data on different servers. The cloud is a potential technological creation that fosters change for its users. Cloud computing is an information technology paradigm that delivers computing services via the Internet by utilizing remote servers, database systems, networking, analytics, storage systems, software, and other digital facilities. Cloud computing has significant benefits for higher education, particularly for students transitioning from K-12 to university. Teachers can easily deliver online classes and engage their students in various programs and online projects by utilizing cloud technology in education. Cloud-based deployment refers to the hosted-type deployment of the game-based learning solution. There has been an upward trend in the deployment of the EdTech solution via cloud or dedicated data center infrastructure. The advantages of hosted deployment include reduced physical infrastructure, lower maintenance costs, 24×7 accessibility, and effective analysis of electronic business content. The cloud-based deployment of EdTech solution is crucial as it offers a flexible and scalable infrastructure to handle multiple devices and analyze ideas from employees, customers, and partners.

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Major EdTech and smart classrooms vendors include Apple (US), Cisco (US),  Blackboard (US), IBM (US), Dell EMC (US), Google (US), Microsoft (US), Oracle(US), SAP (Germany), Instructure(US). These market players have adopted various growth strategies, such as partnerships, agreements, and collaborations, and new product enhancements to expand their presence in the EdTech and smart classrooms market. Product enhancements and collaborations have been the most adopted strategies by major players from 2018 to 2020, which helped companies innovate their offerings and broaden their customer base.

A prominent player in the EdTech and smart classrooms market, Apple focuses on inorganic growth strategies such as partnerships, collaborations, and acquisitions. For instance, in August 2021 Apple launched Mobile Student ID through which students will be able to navigate campus and make purchases using mobile student IDs on the iPhone and Apple Watch. In July 2020 Apple partnered with HBCUs to offer innovative opportunities for coding to communities across the US. Apple deepened the partnership with an additional 10 HBCUs regional coding centers under its Community Education Initiative. The main objective of this partnership is to bring coding, creativity, and workforce development opportunities to learners of all ages. Apple offers software as well as hardware to empower educators with powerful products and tools. Apple offers several applications for K-12 education, including Schoolwork and Classroom. The company also offers AR in education to provide a better learning experience. Teaching tools helps to simplify teaching tasks with apps that make the classroom more flexible, collaborative, and personalized for each student. Apple has interactive guide that makes it easy to stay on task and organized while teaching remotely with iPad. The learning apps helps to manage schedules and screen time to minimize the distractions and also helps to create productive learning environments and make device set up easy for teachers and parents. Apple has various products, such as Macintosh, iPhone, iPad, wearables, and services. It has an intelligent software assistant named Siri, which has cloud-synchronized data with iCloud.

Blackboard has a vast product portfolio with diverse offerings across four divisions: K-12, higher education, government, and business. Under the K-12 division, the company offers products such as LMS, Synchronous Collaborative Learning, Learning Object Repository, Web Community Manager, Mass Notifications, Mobile Communications Application, Teacher Communication, Social Media Manager, and Blackboard Ally. Its solutions include Blackboard Classroom, Collaborate Starter, and Personalized Learning. Blackboard’s higher education division products include Blackboard Learn, Blackboard Collaborate, Analytics for Learn, Blackboard Intelligence, Blackboard Predict, Outcomes and Assessments, X-ray for Learning Analytics, Blackboard Connect, Blackboard Instructor, Moodlerooms, Blackboard Transact, Blackboard Ally, and Blackboard Open Content. The company also provides services, such as student pathway services, marketing, and recruiting, help desk services, enrollment management, financial aid and student services, engagement campaigns, student retention, training and implementation services, strategic consulting, and analytics consulting services. Its teaching and learning solutions include LMS, education analytics, web conferencing, mobile learning, open-source learning, training and implementation, virtual classroom, and competency-based education. Blackboard also offers campus enablement solutions such as payment solutions, security solutions, campus store solutions, and transaction solutions. Under the government division, it offers solutions such as LMS, registration and reporting, accessibility, collaboration and web conferencing, mass notifications and implementation, and strategic consulting. The company has launched Blackboard Unite on April 2020 for K-12. This solution compromises a virtual classroom, learning management system, accessibility tool, mobile app, and services and implementation kit to help emote learning efforts.

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