Channel programs News
Wade Tyler Millward
“We can‘t be essential unless our partners are skilled in our products and confident in going to their clients with our products and selling them with us and for IBM,” IBM channel chief Kate Woolley said.
IBM has started giving registered members of its PartnerWorld program access to the training, badges and enablement IBM sales employees get along with a new learning hub for accessing materials.
The expansion is part of the Armonk, N.Y.-based tech giant’s investment in its partner program, IBM channel chief Kate Woolley told CRN in an interview.
“We can‘t be essential unless our partners are skilled in our products and confident in going to their clients with our products and selling them with us and for IBM,” said Woolley (pictured), general manager of the IBM ecosystem.
[RELATED: Channel Chief Kate Woolley: ‘No Better Time To Be An IBM Partner’]
Partners now have access to sales and technical badges showing industry expertise, according to a blog post Tuesday. Badges are shareable on LinkedIn and other professional social platforms. IBM sales representatives and partners will receive new content at the same time as it becomes available.
“This is the next step in that journey in terms of making sure that all of our registered partners have access to all of the same training, all of the same enablement materials as IBMers,” Woolley told CRN. “That’s the big message that we want people to hear. And then also in line with continuing to make it easier to do business with IBM, this has all been done through a much improved digital experience in terms of how our partners are able to access and consume.”
Among the materials available to IBM partners are scripts for sales demonstrations, templates for sales presentations and positioning offerings compared to competitors, white papers, analyst reports and solution briefs. Skilling and enablement materials are available through a new learning hub IBM has launched.
“The partners are telling us they want more expertise on their teams in terms of the IBM products that they‘re able to sell and how equipped they are to sell them,” Woolley said. “And as we look at what we’re hearing from clients as well, clients want that. … Our clients are saying, ‘We want more technical expertise. We want more experiential selling. We want IBM’ – and that means the IBM ecosystem as well – ‘to have all of that expertise and to have access to all the right enablement material to be able to engage with us as clients.’”
The company has doubled the number of brand-specialized partner sellers in the ecosystem and increased the number of technical partner sellers by more than 35 percent, according to IBM.
The company’s exact program changes have led to improved deal registration and introduced to partners more than 7,000 potential deals valued at more than $500 million globally, according to IBM. Those numbers are based on IBM sales data from January 2022 to August.
Along with the expanded access to training and enablement resources, Woolley told CRN that another example of aligning the IBM sales force and partners was a single sales kickoff event for employees and partners. A year ago, two separate events were held.
“I want our partners to continue to feel and see this as a big investment in them and representative of how focused we are on the ecosystem and how invested we are,” she said.
© Provided by The Register
Isn't it ironic: Potentially helping its former customers to ditch big iron
Microsoft and Kyndryl have unveiled a new aspect of their global strategic partnership with plans to help enterprise customers make better use of data held on mainframe systems.…
According to Kyndryl, the services outfit has worked with Microsoft in order to enable data pipelines between mainframe systems (including Kyndryl's zCloud platform) and Microsoft's Azure cloud, intended to make it easier for customers to move data stored on their mainframes to a cloud environment for analysis.
Kyndryl is the former IT infrastructure services division of IBM, which Big Blue spun out last year, and so it would be ironic if it were now helping IBM customers to ditch the mainframe – though the reality is more complicated than that, of course.
The zCloud platform is Kyndryl's managed multi-tenant mainframe cloud service.
Microsoft and Kyndryl announced the formation of their trade relationship within days of the Kyndryl spinoff being finalized last year. However, the company now has agreements with all three of the big cloud providers.
The purpose of this new arrangement is for Kyndryl to help enterprise clients squeeze more value from their mainframe data by connecting it with the Microsoft Power Platform, various cloud-based tools that Redmond offers which combine low-code application development and workflow automation with existing services such as Power BI.
In a short video, Kyndryl's VP and CTO for zCloud Richard Baird discloses how the company has linked its zCloud platform and Microsoft Azure. It involves deploying an Azure Stack HCI environment alongside a mainframe in one of Kyndryl’s zCloud Centers, or a customer’s own datacenter, then using that as the integration point between the mainframe and the Microsoft Power Platform.
Integrating cloud-based functionality with the mainframe not only preserves the value of existing enterprise IT investments, but enhances them to enable faster digital transformation, Kyndryl claimed, which hints that it doesn't quite see the mainframe going away just yet.
Instead, Kyndryl talked up the creation of a hybrid environment that makes mainframe data available via Azure and opens it up to the benefits of cloud-based applications, machine learning and AI. What this means is that - in theory - mainframe customers can choose the right platform for the right workload, it said.
"Microsoft's AI-enabled Power Platform capabilities, Kyndryl's rich mainframe ecosystem, and managed services experience are a strong combination that will help customers unlock their mainframe data," said Microsoft's VP for Global System Integrator and Advisory Partners, Kelly Rogan.
Kyndryl and Microsoft said they also plan to combine mainframe data with other internal and external cloud-based data sources, in order to let customers create new applications that make use of modern analytics and visualization tools.
As part of the joint mainframe modernization initiative, Kyndryl said it will offer consulting and integration services to help customers more easily and efficiently plan, design, and connect mainframe data to Azure Cloud and Edge Computing environments. ®
New Jersey, United States, Oct. 12, 2022 /DigitalJournal/ In a nutshell, learning analytics is primarily focused on collecting and leveraging student learning progress data to optimize learning outcomes. This includes understanding each students time on course work and determining a students progress over time.
The learning analytics (LA) market is growing rapidly in educational institutions worldwide, especially for higher education and MOOC providers, primarily driven by the need to Excellerate the student success rate, material efficiency of the course, retention, and learning experience. Learning analytics follows learners digital footprints, transforming how they view learning processes and enabling data-driven decisions to maximize student success. It has continued to evolve as technology continues to be one of the main drivers of educational change.
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The Learning Analytics Market research report provides all the information related to the industry. It gives the markets outlook by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This Learning Analytics market research report tracks all the exact developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.
Competitive landscape:
This Learning Analytics research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.
Some of the Top companies Influencing this Market include:Oracle, Blackboard, IBM, Microsoft, Pearson, Saba Software, Sum Total System, Mcgraw-Hill Education, SAP, Desire2learn,
Market Scenario:
Firstly, this Learning Analytics research report introduces the market by providing an overview that includes definitions, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the Learning Analytics report.
Regional Coverage:
The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:
- North America
- South America
- Asia and Pacific region
- Middle East and Africa
- Europe
Segmentation Analysis of the market
The market is segmented based on the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market
Market Segmentation: By Type
On-premises, Cloud Based,
Market Segmentation: By Application
Academic, Enterprise
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An assessment of the market attractiveness about the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants in the global Learning Analytics market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.
This report aims to provide:
- A qualitative and quantitative analysis of the current trends, dynamics, and estimations from 2022 to 2029.
- The analysis tools such as SWOT analysis and Porter’s five force analysis are utilized, which explain the potency of the buyers and suppliers to make profit-oriented decisions and strengthen their business.
- The in-depth market segmentation analysis helps identify the prevailing market opportunities.
- In the end, this Learning Analytics report helps to save you time and money by delivering unbiased information under one roof.
Table of Contents
Global Learning Analytics Market Research Report 2022 – 2029
Chapter 1 Learning Analytics Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Learning Analytics Market Forecast
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Customer Identity & Access Management (CIAM) , Security Operations
Consumerization of IT Has Brought CIAM Methods, Technologies to Workforce IAM Space
Perennial leaders ForgeRock, Ping Identity and IBM, along with a surging Okta, set themselves apart from the pack of CIAM vendors in the latest report by KuppingerCole analysts.
See Also: Building a Secure IoT Deployment Using 5G Wireless WAN
Ping Identity leapfrogged ForgeRock to capture the gold in product leadership, and IBM once again took the bronze. ForgeRock, Ping Identity and IBM maintained the gold, silver and bronze, respectively, in innovation leadership. And in the market leadership category, Microsoft again took gold, Auth0 catapulted from seventh to second place in market leadership due to becoming part of Okta, and SAP fell from second to third since the last report in late 2020, KuppingerCole found.
"The trend toward digitalization of consumer experiences was well underway in the late 2010s, and the COVID pandemic forced more businesses and other organizations to expedite digital transformation," John Tolbert wrote in the 120-page report. "With every iteration of this report, we observe significant acquisitions of CIAM certified by others in the market, and entry into the market of new vendors."
Microsoft, Okta and IBM were the three market share leaders in the broader $13.6 billion identity and access management category last year, while Ping Identity and ForgeRock captured ninth and 10th place, according to IDC. Thoma Bravo has acquired SailPoint and plans to buy Ping and ForgeRock. Should the three companies be combined, it would take the bronze in market share, narrowly edging out IBM.
"Innovation in CIAM drives the wider IAM market," Tolbert wrote. "The 'consumerization of IT' is exemplified by the push to use CIAM methods and technologies for registration, authentication, and authorization in workforce IAM. Features that were considered innovative in the previous edition of this report are going mainstream."
Outside of the top four, here's how KuppingerCole sees the CIAM market:
- Leader: SAP, LoginRadius, Microsoft, Transmit Security, OneWelcome, WSO2;
- Challenger: Cisaas, Cloudentity, Optimal IDM, 1Kosmos, Simeio, Synacor, CoffeeBean, Xayone, Nevis Security, NRI, ReachFive, Fusion Auth, DruID.
The latest rankings represent a drop for SAP and WSO2, which fell from third to fifth and eighth to 10th, respectively. Microsoft and OneWelcome leapt from ninth to seventh and 10th to ninth, respectively. LoginRadius held steady in sixth place, while Transmit Security - which raised $543 million last year - is new to the list.
"The CIAM market is growing and there is room for much further expansion, with many vendors offering mature solutions providing standard and deluxe features to support millions of users across every industrial sector," Tolbert wrote. "Some vendors have about every feature one could want in a CIAM product, while others are more specialized, and thus have different kinds of technical capabilities."
How the CIAM Leaders Climbed Their Way to the Top
| Company Name | Acquisition | Amount | Date |
|---|---|---|---|
| ForgeRock | None | N/A | N/A |
| IBM | Lighthouse Security Group | Not Disclosed | August 2014 |
| Okta | Auth0 | $5.67B | May 2021 |
| Ping Identity | UnboundID | Not Disclosed | August 2016 |
ForgeRock Looks to Thwart Account Takeover Fraud
ForgeRock in April refreshed the user interface around its authentication app to Excellerate the customer experience, add functionality for facial biometrics, and leverage capabilities from Apple and Android, according to CEO Fran Rosch. He says ForgeRock has sought smarter ways to identify legitimate users and give them access by leveraging AI to collect signals of typical user and device behavior.
Once ForgeRock has collected patterns around a typical positive user experience, the company develops a risk score to give customers more confidence about whether a legitimate user is attempting to log in. To prevent account takeover fraud, ForgeRock has factored in both known threats and threats projected via AI into its risk score and has incorporated more information about device behavior into its app (see: Thoma Bravo Identity Push Continues With $2.3B ForgeRock Buy).
"CIAM has got a strong security component, but also a strong usability component," Rosch tells Information Security Media Group. "And we've always worked to embed that capability of self-service and ease of use into the platform."
KuppingerCole criticized ForgeRock for implementation challenges around the on-premises version and a lack of native marketing analytics, marketplace integrations and certification around FIDO. Rosch says ForgeRock has focused on simplifying the deployment of its on-premises offering by crafting DevOps capabilities for implementation, simplifying upgrades and creating new configurable AI for the platform.
"Every company's got room to improve," Rosch says. "Generally, we would agree with those areas identified by KuppingerCole. We're continuing to work and to improve."
Ping Identity Embraces CIAM in the Cloud
Over the past five years, Ping Identity has migrated all of its core capabilities to the cloud, meaning customers don't have to deal with infrastructure, management or upgrades and can focus on the user experience, says Dustin Maxey, vice president of product and solutions marketing. Having everything available as a multi-tenant, SaaS-based offering means Ping can support customers' various deployment options, he says.
Maxey says Ping has defined and developed workflows for CIAM scenarios such as account registration and fraud detection that incorporate both native and third-party capabilities and are easy for customers to use. Over the past year, Ping has made real progress on decentralized identity and combining multiple fraud signals in one place so that risk and fraud can be assessed at the point of authentication, he says (see: Ping Identity to Go Private in $2.8B Thoma Bravo Acquisition).
"A lot of competitors will have orchestration platforms, but Ping really differentiates in that we fully embrace this open mentality," Maxey tells ISMG. "If you want to use competitive services - if you want to use ForgeRock authentication or Okta authentication - we can plug that authentication service into our orchestration platform that we created."
KuppingerCole criticized Ping for its inability to collect device attributes, customization requiring for consent handling, and lack of simple connectors for BI, CRM, marketing analytics and automation. Maxey says Ping has focused on building the most important connectors first and wants to create deep integrations within its existing connectors before pivoting to construct new connectors.
"We are on a tear to build connectors that are deep, that are numerous and that are the ones that represent the services that our customers work with," Maxey says. "And we are moving very, very fast at that."
IBM Ensures Legacy Apps Don't Get Left Behind
IBM has actively participated in committees and bodies that manage protocol support to help clients better manage API and authentication requests in applications, says Wesley Gyure, director of product management for IBM Security. Offering support for both old and new protocols gives clients a seamless experience across apps in legacy infrastructure as well as modern web-based applications in the cloud.
Gyure says the company has integrated its CIAM offering with threat intelligence to get more visibility into everything from compromised passwords to potential malicious account takeover and the opening of fraudulent accounts. Identity threat detection and response starts with determining whether to block or challenge a registration request based on if the IP address is known and if the device could be malicious (see: IBM Buys Startup Databand.ai to Address Data Quality Issues).
"We have very large Fortune 500 clients that are using our systems, both legacy and off-prem," Gyure tells ISMG. "Auto manufacturers, retail, state and local government - they all have millions of users that are authenticating to our system, and they're doing so in a frictionless way and they're doing so with high throughput."
KuppingerCole chided IBM for complicated licensing, limited configurations for family management, and no built-in identity proofing or out-of-the-box consumer device management portals. The complexity stems from thousands of customers already using CIAM in large deployments, and Gyure says a pricing calculator for the existing tools should give clients visibility and transparency into how IBM licenses.
"We're not going to be the experts in every area," Gyure says. "Customers already have investments in solutions that they're using, and those investments have to integrate into whatever CIAM solution they may choose. This is not a rip-and-replace conversation. We want to make this easy and consumable, and to do that means to leverage capabilities and investments that they may already have."
Okta Scales Authentication to the Masses
Okta has made strides to enable app builders to better manage user authentication at scale by enabling developers to add another layer of access controls that's more fine-grained and consistent across apps, says Matt Duench, senior director of product marketing. The company's flow editor allows for no-code integration with firms such as Duo directly into the platform by leveraging a drag-and-drop interface.
Duench says the company has debuted a deployment option in Microsoft Azure so that customers in Europe and elsewhere can deploy in the environment that makes the most sense for them. Okta has strengthened its account takeover prevention capability through investments in Credential Guard and has reduced bot attacks by 79% by incorporating machine-learning upgrades in its bot detection engine (see: Okta-Auth0 Sales Integration Falters, Fueling Staff Turnover).
"We were born in the cloud, and so we're really well suited for companies that are focused on digital transformation and cloud migration versus more of an on-prem system," Duench tells ISMG. "And that's because a lot of the flexibility that now you get from a cloud-based system you can get within our platform as well."
KuppingerCole criticized Okta for a lack of built-in behavioral biometrics, FIDO certification, and ability to collect device intel via mobile SDK. Okta says there are regulatory, privacy and technology constraints around capturing device intel via mobile SDK in consumer applications and that the company chose to allow customers to integrate Okta's CIAM tool with the behavioral biometrics technology of their choice.
"You need a cloud-based platform that is extensible, that is unified and that is neutral so that you can really allow the application builder to build those use cases in the way and using the methodologies that they're traditionally used to," Duench says.
Channel programs News
Wade Tyler Millward
“No matter how our partners are focused or how they‘re going to market, we want our IBM technology to be going to market with them,” IBM channel chief Kate Woolley said.
Opening to partners training and enablement resources usually reserved for IBM’s own employees is an example of how the company is investing in partners and becoming easier to work with, channel chief Kate Woolley told CRN in an interview.
And while the IBM Consulting division continues its own investments with its ongoing purchase of services businesses, those investments pose no conflict to partners, said Woolley, general manager of the IBM ecosystem.
“As we think about IBM with IBM Consulting and IBM technology, we want our partners – no matter how our partners are focused or how they‘re going to market, we want our IBM technology to be going to market with them,” Woolley said.
[RELATED: IBM’s Cloud Acquisition Charge Continues With Dialexa]
On Tuesday, the Armonk, N.Y.-based technology giant started giving registered members of its PartnerWorld program access to the training, badges and enablement IBM sales employees get, along with a new learning hub for accessing materials.
Partners now have access to sales and technical badges showing industry expertise, according to a blog post Tuesday. Badges are shareable on LinkedIn and other professional social platforms. IBM sales representatives and partners will receive new content at the same time as it is made available.
“This is the next step in that journey in terms of making sure that all of our registered partners have access to all of the same training, all of the same enablement materials as IBMers,” Woolley told CRN. “That’s the big message that we want people to hear. And then also in line with continuing to make it easier to do business with IBM, this has all been done through a much improved digital experience in terms of how our partners are able to access and consume.”
CRN also asked Woolley about IBM’s exact acquisition spree of services businesses – including Dialexa in September, Neudesic in February and Bluetab Solutions and BoxBoat in July 2021.
Although IBM spun off its managed infrastructure practice into a separate, publicly traded company called Kyndryl, the remaining IBM Consulting wing remains a big part of IBM’s business. IBM reported consulting revenue of $4.8 billion in its latest quarterly earnings, up from $4.4 billion from the same period a year prior.
“I don‘t see conflict versus IBM consulting,” Woolley said. “I honestly don’t see that conflict. I think we want to be going to market with all of our partners regardless of what motion they‘re taking it through.”
Here’s what else Woolley had to say.
The MarketWatch News Department was not involved in the creation of this content.
Oct 12, 2022 (Alliance News via COMTEX) -- The report provides a comprehensive analysis of segments in this market, covering all the major regions and countries. The major regions analyzed in the study are North America, Europe, Asia Pacific, Latin America and Middle East & Africa. The report also includes additional information about other factors such as drivers, restraints and challenges faced by this market along with an overview for each mentioned segment in the study.
The Global AI In Education Market size is expected to reach $12.8 billion by 2028, rising at a market growth of 33.5% CAGR during the forecast period.
Statistical and cogent models for the market were used to assess and forecast the market data. Additionally, market shares and important trends were taken into account when creating the study. The Market Time Line Analysis, Vendor Positioning Grid, Market Overview and Guide, Company Market Share Analysis, Company Positioning Grid, Standards of Measurement, Top to Bottom Analysis, and Vendor Share Analysis are additional data models that can use.
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The study offers in-depth regional analysis of market scenarios, by analyzing previous trends and covering future forecast. It also offers an in-depth analysis of major driving factors, segments, regions & countries and key players in the market. Moreover, the report outlines the competitive scenarios across different geographies, along with some key market strategies such as mergers and acquisitions, new product developments, R&D activities and more.
GlobalAI In Education MarketSize, Share & Industry Trends Analysis Report By Component (Solution and Services), By Application, By End-use, By Deployment Mode (Cloud and On-premise), By Technology, By Regional Outlook and Forecast, 2022 - 2028
Giving teachers, students, and educators a better experience is part of the application of AI in education. Numerous service providers are developing unique AI education solutions or services that connect to numerous education platforms. The demand for AI in education is also rising as online learning is becoming a more popular choice for skill development. As there is a growth in AI-backed business applications, tech corporations cooperated with colleges to introduce new training formats for AI talent in order to better fit with the development trends and latest industry developments.
Giving teachers, students, and educators a better experience is part of the application of AI in education. Numerous service providers are developing unique AI education solutions or services that connect to numerous education platforms. The demand for AI in education is also rising as online learning is becoming a more popular choice for skill development. As there is a growth in AI-backed business applications, tech corporations cooperated with colleges to introduce new training formats for AI talent in order to better fit with the development trends and latest industry developments.
Artificial intelligence has the ability to address some of the most significant issues facing education nowadays, such as innovative teaching and learning methods, and eventually quicken the realization of SDG 4. However, these quick technological advancements necessarily carry with them a number of risks and difficulties that have thus far surpassed regulatory structures and policy discussions. Enhanced education experience can be achieved with the help of AI technologies, and UNESCO is committed to assisting Member States in doing so while ensuring that the use of AI in educational settings is governed by the fundamental values of equity and inclusion.
COVID-19 Impact Analysis
The COVID-19 pandemic delivered a significant impact on the worldwide economy. Various businesses all over the world were majorly affected due to the pandemic. In addition, the advent of the pandemic also significantly disrupted the education infrastructure all over the world. Various industries were severely affected by the COVID-19 outbreak. The COVID-19 pandemic had a detrimental effect on the education sector. Schools colleges and other educational institutes all over the world were shut down, due to which, there was a drop in the demand for AI learning in in-person education.
Market Growth Factors
Enhanced Student And Teacher Experience
One of the key factors that are driving the growth of the AI in education market is the fact that it significantly improves the learning and teaching experience. Vendors of AI technology are creating electronic gadgets with AI capabilities by creating sophisticated learning systems that enhance learning procedures. For educational institutions to survive in a world with cutthroat competition, they must provide the finest learning environment. For instance, Century Intelligent Learning created a classroom employing AI technology that allows teachers to create academic curricula online, allowing students to access their curricula whenever they choose.
Saves A Lot Of Time And Cost
The administrative team works continuously for hours, whether it be filing paperwork, sending texts and emails, getting in touch with students or their parents, or producing periodic reports. In a similar manner, professors and teachers must grade papers for tests and homework, plan lesson plans, prepare for upcoming classes, etc. It consumes a significant amount of time for these educators. The remaining time is set aside for marking test papers, creating lesson plans for future classes, and finishing up administrative tasks. The artificial intelligence expert can assist teachers in developing an AI system that would increase staff and student productivity.
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Market Restraining Factors
Slow Digitalization Due To The Digital Divide
The diffusion of digitalization in LMIC, or low- and middle-income countries, is very slow. This is attributed to the prevalence of the digital divide all over the world. The digital divide can be defined as the reduced digital growth of developing and underdeveloped countries in contrast to developed countries due to the lower penetration of technologies. There is a significant number of LMICs that are struggling to bring technological advancements. AI-enabled deployments are completely reliant on accessible data, IT infrastructures, and Internet of Things devices for gathering instances to produce correct results due to the absence of funding for the fundamental requirements of IT infrastructures within poor nations.
Component Outlook
Based on component, the AI in education market is classified into solutions and services. In 2021, the services segment registered a significant revenue share of the AI in the education market. The growth of the segment is increasing due to the rise in online education brought on by the pandemic. Additionally, the market is being driven by rising government and private sector investments in AI education for the improvement of the educational system. Venture capitalists (VCs) invested significant amounts in AI businesses in 2020.
Deployment Mode Outlook
On the basis of deployment, the AI in education market is bifurcated into Cloud and On-premises. In 2021, the cloud segment procured the highest revenue share of the AI in the education market. Reduced ownership costs along with a growing demand for educational data sharing among international campuses are two reasons that have contributed to the expansion of the cloud segment. Additionally, it enables academic institutions to integrate cutting-edge AI technology into their current operating model without having to increase their capital expenditures.
Technology Outlook
By technology, the AI in education market is segmented into Natural Language Processing (NLP) and Machine Learning. In 2021, the natural language processing segment registered a significant revenue share of the AI in the education market. The bolstering growth of the segment is owing to an increase in the demand for virtual learning among colleges and universities. Investments from educational facilities are increasing in technological advancements in order to offer the best-in-class learning experience to their students. In addition, it would also streamline several teaching processes for teachers.
Application Outlook
Based on application, the AI in education market is fragmented into Learning Platform & Virtual Facilitators, Intelligent Tutoring System (ITS), Smart content, Fraud and Risk Management and Others. In 2021, the learning platform and virtual facilitators segment acquired the biggest revenue share of the Ai in the education market. The growth of this segment is owing to the expansion of digital education learning technology. Additionally, employing a variety of abilities and advice relevant to social growth, virtual facilitators assist students in resolving challenging real-time social issues.
End-Use Outlook
On the basis of end-use, the AI in education market is categorized into K-12 Education, Higher Education and Corporate Training & Learning. In 2021, the Corporate Training & Learning segment held a significant revenue share of the AI in the education market. Some of the major factors driving businesses to make the most of their resources are the rapidly shifting market conditions and growing market competition. Therefore, in order to stay up with the constantly shifting market expectations, firms must promptly train their staff members and keep them informed of the latest developments.
Regional Outlook
Region-wise, the AI in education market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2021, North America procured the maximum revenue share of the AI in the education market. The market in the region is being driven by elements including the presence of top organizations that create technology infrastructure facilities, solutions, and services, and the massive number of end-users utilizing educational gadgets for AI in education. For instance, the IBM corporation announced that it would train people in new skills through partnerships with business and academia.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI In Education Market. Companies such as Amazon Web Services, Inc., IBM Corporation and Pearson PLC are some of the key innovators in AI In Education Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google LLC, Cognizant Technology Solutions Corporation, Pearson PLC, Amazon Web Services, Inc., Carnegie Learning, Inc., Blackboard, Inc., BridgeU Limited, and DreamBox Learning, Inc.
Recent Strategies deployed in AI In Education Market
Partnerships, Collaborations and Agreements:
May-2022: Microsoft collaborated with ITE, an education institution. following this collaboration, the companies would integrate an AI lab in ITE College East to work as an innovation center in order to launch AI concepts, applications, and skills across industries for ITE students. Moreover, the companies would also expand the exposure of AI principles and offer skilling opportunities to more than 4,000 students.
Feb-2022: IBM came into a collaboration with the University of Florida, a public land-grant research university. This collaboration aimed to launch a public land-grant research university in order to extend UF?s strategy to become an international leader in AI, fintech, data science, and other associated technologies, which can help in solving major challenges in the society.
Feb-2022: IBM entered into an agreement with IE University, a private university. This agreement aimed to accelerate the strategy to make Madrid a key Artificial Intelligence ecosystem across Europe via the development of Pier 17. in addition, IBM's experts would join IE's adjunct faculty to aid in the identification of professors for the Educating AI innovators as well as Tech-makers program.
May-2021: Microsoft entered into an agreement with the Ministry of Tribal Affairs, a branch of the Government of India. Under this agreement, the entities would develop an AI curriculum for tribal students in Hindi and English at the Eklavya Model Residential Schools as well as Ashram Schools in the country.
Nov-2020: Microsoft signed an MoU with the Education University of Hong Kong, a publicly funded tertiary institution. With this agreement, the entities would focus on the integration of Artificial Intelligence into its Bachelor of Education programs curriculum.
Oct-2020: Microsoft came into a partnership with the All India Council For Technical Education, a statutory body to empower learners and educators. Under this partnership, Microsoft would offer more than 1500 courses to educators and students via AICTE's e-learning portal ELIS. for no cost.
Jun-2020: IBM joined hands with the Central Board of Secondary Education, an Indian national board of education. This collaboration aimed to add a curriculum with the purpose of integrating artificial intelligence in the education of classes XI and XII. Moreover, this collaboration would also complement CBSE's SEWA, or Social Empowerment through Work Education and Action, program.
Mar-2020: Pearson came into a partnership with MindBridge, a leader in financial risk discovery. This partnership aimed to integrate artificial intelligence into academic institutions.
Feb-2020: Pearson teamed up with the UCL Institute of Education, an education school of University College London. Through this collaboration, the companies would focus on the end-to-end experience of test-takers in taking PTE for study or migration purposes.
Acquisitions and Mergers:
Sep-2021: Blackboard announced a merger with Anthology, a leading provider of higher education solutions. This merger aimed to develop a comprehensive as well as modern EdTech ecosystem across the world. In addition, it would expedite the transformation at education institutions to Excellerate earner experience and propel institution and student success.
Sep-2020: Carnegie Learning acquired Scientific Learning, a leader in brain-based learning technology and research. With this partnership, the company aimed to strengthen the education technology offerings of both companies in order to drive a mutual vision to Excellerate student learning outcomes via leading-edge technology developed through rigorous research.
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Scope of the Study
Market Segments covered in the Report:
By Component
Solution
Services
By Application
Learning Platform & Virtual Facilitators
Intelligent Tutoring System (ITS)
Smart content
Fraud & Risk Management
Others
By End Use
Higher Education
Corporate Training & Learning
K-12 Education
By Deployment Mode
Cloud
On-premise
By Technology
Machine Learning
Natural Language Processing (NLP)
By Geography
North America
US
Canada
Mexico
Rest of North America
Europe
Germany
UK
France
Russia
Spain
Italy
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Singapore
Malaysia
Rest of Asia Pacific
LAMEA
Brazil
Argentina
UAE
Saudi Arabia
South Africa
Nigeria
Rest of LAMEA
Companies Profiled
IBM Corporation
Microsoft Corporation
Google LLC
Cognizant Technology Solutions Corporation
Pearson PLC
Amazon Web Services, Inc.
Carnegie Learning, Inc.
Blackboard, Inc.
BridgeU Limited
DreamBox Learning, Inc.
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COMTEX_416437630/2796/2022-10-12T01:19:14
The MarketWatch News Department was not involved in the creation of this content.
IBM Corp. is making some big changes to its data storage services, announcing today that it will bring Red Hat Inc.’s storage products and associates under the “IBM Storage” umbrella.
The aim, IBM said, is to deliver a more consistent application and data storage experience across on-premises and cloud infrastructures. It’s a big move that will see IBM Spectrum Fusion data management software adopt the storage technologies of Red Hat’s OpenShift Data Foundation as its new base layer.
Even more interesting, perhaps, is that the open-source Red Hat Ceph Storage offering will be transformed into a new IBM Ceph storage offering. IBM said this will result in a unified, software-defined storage platform that’s better able to bridge the architectural divide between data centers and cloud computing providers.
The computing giant said the move is in line with its software-defined storage strategy of a “born in the cloud, for the cloud” approach that will unlock bidirectional application and data mobility based on a shared, secure and cloud-scale solution.
IBM Systems General Manager of Storage Denis Kennelly said the shift is designed to streamline the two companies’ portfolios. “By bringing together the teams and integrating our products under one roof, we are accelerating IBM’s hybrid cloud strategy while maintaining commitments to Red Hat’s customers and the open-source community,” he insisted.
The company presented the changes as a big win for customers, saying they will gain access to a more consistent set of storage services that preserve data resilience, security and governance across bare metal, virtualized and containerized environments. More specifically, IBM is promising that customers will have a more unified storage experience for container-based applications running on Red Hat OpenShift, with the ability to use IBM Spectrum Fusion, which is now based on Red Hat OpenShift Data Foundation. Doing so will provide higher performance, greater scale and more automation for OpenShift applications that require block, file and object access to data, the company said.
As for IBM Ceph, the company said this will deliver a more consistent hybrid cloud experience with enterprise-grade scale and resiliency.
Furthermore, by unifying IBM’s and Red Hat’s storage technologies, customers will be able to build a single data lakehouse on IBM Spectrum Scale to aggregate all of their unstructured data in one place. Benefits will include less time spent on maintenance, reduced data movement and redundancy, and more advanced schema management and data governance.
Industry watchers were united in their belief that the changes would be of benefit to customers. Steve McDowell of Moor Insights & Strategy told SiliconANGLE that today’s move makes a lot of sense because it enables IBM to leverage the storage strengths of both companies.
McDowell explained that although IBM Spectrum is considered to be one of the most comprehensive data management platforms around, its foundation predates the rise of cloud-native technologies. On the other hand, he said, Red Hat OpenShift was built from the ground up to support cloud-native workloads.
“IBM is evolving Spectrum Fusion to take the best of Red Hat’s efforts, and is using Red Hat’s storage software as the base for its IBM-branded products moving forward,” McDowell said. “It makes a lot of business sense for IBM to leverage R&D from Red Hat into its more traditionally proprietary systems. It also gives IBM an easy path to better serve the needs of containerized workloads.”
International Data Corp. analyst Ashish Nadkarni said the two companies are now “speaking with one voice on storage” and finally delivering on the synergies between them that were mentioned when IBM acquired Red Hat in 2019.
“The combining of the two storage teams is a win for IT organizations as it brings together the best that both offer: An industry-leading storage systems portfolio meets an industry-leading software-defined data services offering,” Nadkarni said. “This initiative enables IBM and Red Hat to streamline their family of offerings, passing the benefits to their customers.”
IBM also moved to reassure users of Red Hat’s open-source technologies that it will remain fully committed to them following today’s announcements. As part of the deal, IBM will take over Premier Sponsorship of the Ceph Foundation and, along with Red Hat’s teams, continue to drive innovation and development. Both IBM Ceph and Red Hat OpenShift will remain 100% open-source, the company added, and will continue to follow an upstream-first development model.
McDowell said today’s move would likely make some users nervous about the prospect of Red Hat’s technology becoming more proprietary over time. “IBM has been very careful since it acquired Red Hat in 2019 to keep Red Hat’s open-source business segregated from IBM’s branded offerings,” he said. “This is the first time we’re seeing IBM cross that that line, and it’s natural to wonder how blurred those lines will become.”
Still, McDowell said, he’s inclined to believe IBM’s promises as it has been very deliberate about keeping Red Hat’s storage technologies open-source.
“Red Hat OpenShift Data Foundation and Ceph will still be available as they always have, though its evolution will undoubtedly be more strongly guided by the needs of IBM’s storage business,” the analyst continued. “Overall this is a net positive for IBM and its customers. It makes good business sense and there should be minimal impact to Red Hat’s existing community.”
IBM said the first storage solutions to launch under the new IBM Ceph Storage and IBM Spectrum Fusion banners will arrive in the first half of 2023, so users will have plenty of time to digest the changes.
Image: Red Hat
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A four-year bachelor’s degree has long been the first rung to climbing America’s corporate ladder.
But the move to prioritize skills over a college education is sweeping through some of America’s largest companies, including Google, EY, Microsoft, and Apple. Strong proponents say the shift helps circumvent a needless barrier to workplace diversity.
“I really do believe an inclusive diverse workforce is better for your company, it’s good for the business,” Ginni Rometty, former IBM CEO, told Fortune Media CEO Alan Murray during a panel last month for Connect, Fortune’s executive education community. “That’s not just altruistic.”
Under Rometty’s leadership in 2016, tech giant IBM coined the term “new collar jobs” in reference to roles that require a specific set of skills rather than a four-year degree. It’s a personal commitment for Rometty, one that hits close to home for the 40-year IBM veteran.
When Rometty was 16, her father left the family, leaving her mother, who’d never worked outside the home, suddenly in the position to provide.
“She had four children and nothing past high school, and she had to get a job to…get us out of this downward spiral,” Rometty recalled to Murray. “What I saw in that was that my mother had aptitude; she wasn’t dumb, she just didn’t have access, and that forever stayed in my mind.”
When Rometty became CEO in 2012 following the Great Recession, the U.S. unemployment rate hovered around 8%. Despite the influx of applicants, she struggled to find employees who were trained in the particular cybersecurity area she was looking for.
“I realized I couldn’t hire them, so I had to start building them,” she said.
In 2011, IBM launched a corporate social responsibility effort called the Pathways in Technology Early College High School (P-TECH) in Brooklyn. It’s since expanded to 11 states in the U.S. and 28 countries.
Through P-TECH, Rometty visited “a very poor high school in a bad neighborhood” that received the company’s support, as well as a community college where IBM was offering help with a technology-based curriculum and internships.
“Voilà! These kids could do the work. I didn’t have [applicants with] college degrees, so I learned that propensity to learn is way more important than just having a degree,” Rometty said.
Realizing the students were fully capable of the tasks that IBM needed moved Rometty to return to the drawing board when it came to IBM’s own application process and whom it was reaching. She said that at the time, 95% of job openings at IBM required a four-year degree. As of January 2021, less than half do, and the company is continuously reevaluating its roles.
For the jobs that now no longer require degrees and instead rely on skills and willingness to learn, IBM had always hired Ph.D. holders from the very best Ivy League schools, Rometty told Murray. But data shows that the degree-less hires for the same jobs performed just as well. “They were more loyal, higher retention, and many went on to get college degrees,” she said.
Rometty has since become cochair of OneTen, a civic organization committed to hiring, promoting, and advancing 1 million Black individuals without four-year degrees within the next 10 years.
If college degrees no longer become compulsory for white-collar jobs, many other qualifications—skills that couldn’t be easily taught in a boot camp, apprenticeship program, or in the first month on the job—could die off, too, University of Virginia Darden School of Business professor Sean Martin told Fortune last year.
“The companies themselves miss out on people that research suggests…might be less entitled, more culturally savvy, more desirous of being there,” Martin said. Rather than pedigree, he added, hiring managers should look for motivation.
That’s certainly the case at IBM. Once the company widened its scope, Rometty said, the propensity to learn quickly became more of an important hiring factor than just a degree.
This story was originally featured on Fortune.com
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OXFORD, England, October 04, 2022--(BUSINESS WIRE)--Arctoris Ltd, a tech-enabled biopharma platform company, has appointed three globally recognized experts in Alzheimer’s disease, Machine Learning applied to closed loop discovery, and automated chemistry as members of its Scientific Advisory Board: Professor John Davis (University of Oxford), Professor Rafael Gómez Bombarelli (MIT), and Dr Teodoro Laino (IBM Research).
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20221004005087/en/
Joining Arctoris as scientific advisors are Rafael Gómez Bombarelli (MIT), John Davis (University of Oxford) and Teodoro Laino (IBM) (left to right) (Photo: Business Wire)
"We are delighted to see Professor Davis, Professor Gómez Bombarelli and Dr Laino join our company’s Scientific Advisory Board at this exciting moment in Arctoris’ growth," said Martin-Immanuel Bittner MD DPhil FRSA FIBMS, CEO and Co-Founder of Arctoris. "Professor Davis is a world-renowned expert in dementia research, while Professor Gómez Bombarelli and Dr Laino are pioneers in chemical computation and accelerated discovery. These two are key areas for our technology and our pipeline development, and we are grateful for the support of these highly distinguished individuals."
John Davis is the Chief Scientific Officer of the Centre for Medicines Discovery (Oxford) and Director of Business Development for the Alzheimer’s Research UK - Drug Discovery Alliance. He has over 25 years of drug discovery expertise all the way from target identification to successful clinical proof of concept for a range of drug candidates in neurological disorders. Following postdoctoral training at the Ludwig Institute and the Salk Institute, he joined GlaxoSmithKline where he led a variety of non-clinical pharmacology research departments for pain and neurodegenerative diseases. In 2010, Professor Davis co-founded the spinout company Convergence Pharmaceuticals, which he later left to become Director of Discovery for Selcia, and CSO and cofounder of Cypralis before joining the University of Oxford.
Rafael Gómez Bombarelli is the Jeffrey Cheah Assistant Professor in Engineering in MIT’s Department of Materials Science and Engineering. His research is focused on accelerated discovery cycles and machine learning approaches for molecular design and optimisation. Professor Gómez Bombarelli’s work has been published in journals such as Science, Nature Chemistry, and Nature Materials, and has been featured in MIT Technology Review and Wall Street Journal. He earned a BS, MS and PhD in chemistry from the Universidad de Salamanca, followed by postdoctoral work at Heriot-Watt University, Harvard University and Kyulux North America before taking up his post at MIT.
Teodoro Laino leads the chemical computation and automated synthetic chemistry efforts at the Department of Cognitive Computing and Industry Solutions at the IBM Research Zurich Laboratory. He is interested in the application of machine learning to chemistry and materials science problems with the purpose of developing scalable, tech-enabled solutions to significantly Excellerate chemical synthesis (e.g., IBM RXN for chemistry). A chemist by background, Dr Laino has a PhD in computational chemistry, after which he worked as a post-doctoral researcher at the University of Zurich developing algorithms for molecular dynamics simulation.
New member of the Scientific Advisory Board John Davis, said, "Neurodegenerative diseases and especially Alzheimer’s Disease are an area of significant unmet clinical need. As a company, Arctoris’ strategy and focus for the development of its pipeline of assets is governed by the very best scientific and clinical evidence in the field, and I am pleased to support their scientific and leadership team with therapeutic area expertise."
"Finding efficient ways to speed up the Design-Make-Test-Analyse cycle is crucial for the rapid development of new and improved materials or treatments. Together with Arctoris, my team at IBM Research has spent the past two years exploring potential integrations between our own IBM Research Accelerated Discovery Platform and Arctoris’ own flagship technology, Ulysses. Today, I am thrilled to announce that I will be serving as an expert on automated synthesis and machine learning modelling in chemistry in the Scientific Advisory Board of Arctoris, further strengthening our mutually beneficial collaboration," said Teodoro Laino.
"My research focuses on accelerated discovery and molecular design optimization, and I am convinced that Arctoris’ Ulysses platform and their approach to combining wet lab and dry lab approaches are the future for small molecule drug discovery. I am excited to contribute my expertise in closed loop and machine learning approaches to accelerated scientific discovery, where Arctoris is building a truly unique platform and company," said Rafael Gómez Bombarelli.
ABOUT ARCTORIS LTD
Arctoris is a tech-enabled biopharma platform company founded and headquartered in Oxford, UK with its US operations based in Boston and its Asia-Pacific operations based in Singapore. Arctoris combines robotics and Machine Learning with a world-class team for accelerated small molecule discovery. Ulysses, the unique technology platform developed by Arctoris, enables the company and its partners to conduct their R&D – from target to hit, lead, and candidate – significantly faster, and with considerably improved data quality and depth. The company's end-to-end automation platform is capable of generating large and precise datasets across hundreds of experiment types and assays. The resulting data assets are captured and passed through automated analytical pipelines and feed directly into Arctoris’ Machine Learning capabilities, creating powerful predictive models capable of identifying superior molecules faster. Bringing together the expertise of seasoned biotech and pharma veterans with its proprietary technologies, Arctoris leads to higher success rates and an accelerated progression of programs towards the clinic. Arctoris pursues an internal pipeline of assets in oncology and neurodegeneration and also collaborates with select biotech and pharma partners in the US, Europe, and Asia-Pacific, including several Top 10 Pharma.
For latest updates, visit www.arctoris.com and follow us on LinkedIn
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