“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.
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In honor of National Hispanic Heritage Month, we asked three IBM employees to share their experiences. Romelia Flores is an IBM distinguished engineer and a master inventor currently on IBM's client engineering team based in Dallas, Texas. Robert Loredo is the IBM quantum ambassador worldwide lead and a master inventor based in South Florida. Catherine Treviño is a z Hardware brand technical specialist based in Poughkeepsie, New York.
In this Q&A, these three employees open up about how mentorship has benefitted their careers and share the importance of giving back to fellow members of the Hispanic community.
Flores: I joined IBM over 30 years ago as an intern and student at the University of Texas at Austin where I obtained a degree in computer science. As a software developer, I thrive on leveraging technology to accelerate business and collaborate with clients to drive app modernization. IBM has superlative talent around the world, many of whom have guided my journey. Being a strong technologist means being a continuous learner of technology as well as establishing a strong network.
Loredo: I joined IBM in 2004 and am fortunate to have a successful career because of IBM's network and community. I have 20 years of experience in enterprise product development leveraging leading-edge technologies, most recently with quantum computing, a technology that's expected to solve intractable problems that today's most powerful classical supercomputers find challenging to solve.
Treviño: My journey at IBM has been short but accomplished! I joined in 2020 as an intern and rising senior from the University of Texas – Rio Grande Valley. Upon completing my internship, I accepted an offer and returned in 2021. I've since switched roles to a different business unit, thanks to the guidance of fellow volunteers of Hispanics@IBM, the community for Hispanic IBM employees.
Treviño: Networking led to a new opportunity within my first year at IBM. When I first joined full-time, I quickly realized the role was not the right fit. As a first-generation professional, I wasn't sure how to navigate the situation. I chatted with Alan, IBM D&I leader for the Hispanic community, who connected me with Cleo, a Hispanic executive council leader, who brought up an open role. I'm grateful for that connection! Long story short, I'm now part of Cleo's global sales team, where I help financial market clients find solutions with our z Systems.
Loredo: I'm grateful for the mentor who saw my potential and found a unique way to teach me complex subjects. While at Miami-Dade College, I struggled with the courses for engineering majors. My professor knew I enjoyed music and began teaching me mathematics using music as an analogy. That was my 'aha!' moment. My grades improved, allowing a transfer to the University of Miami, where I completed my bachelor's and master's degrees in computer engineering. That moment, when my professor found an unconventional way to teach, had a profound impact on me. I use that technique today. I wrote a book that teaches quantum computing implementation and I use analogies to explain it.
Flores: I've mentored hundreds of college students and IBM employees, including distinguished engineers and technologists. I've been told— especially by females and underrepresented minorities — that they've never seen a technologist with my level of impact, and they ask, "What's your secret to success?" This inspired me to develop the "Eight Cs: Blueprint for Success" which I believe are key attributes for attaining success: competence, communication, commitment, creativity, collaboration, confidence, community, and chuckle – we often forget about this last one, but our work should be fun!
This post was created by IBM with Insider Studios.
The Machine Learning Market study describes how the technology industry is evolving and how major and emerging players in the industry are responding to long term opportunities and short-term challenges they face. One major attraction about Machine Learning Industry is its growth rate. Many major technology players – including IBM Corporation, SAP SE, Oracle Corporation, Hewlett Packard Enterprise Company, Microsoft Corporation, Amazon, Inc., Intel Corporation, Fair Isaac Corporation, SAS Institute Inc., BigML, Inc. etc have been looking into Machine Learning as a way to increase their market share and reach towards consumers.
Industries and key technological segments are evolving; navigate these changes with latest insights released on Machine Learning Market Study
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Machine learning (ML) is the application of artificial intelligence (AI) for developing systems’ capability to learn automatically and Boost their overall performance through experience, without being programmed explicitly. In India, ML is identified as an emerging technology and is adopted largely by retail, transportation, and financial services industries, among others. At present, there is a rise in the demand for professionals skilled in ML across industries.
The global machine learning market was valued at INR 839.55 Bn in 2020. It is expected to reach INR 7632.45 Bn by 2027, expanding at a CAGR of ~37.16% during the 2021 – 2027 period. The AI market in India was valued at INR 472.73 Bn in 2020. It is anticipated to reach INR 2113.60 Bn by 2027, expanding at a CAGR of ~24.17% during the 2021 – 2027 period. AI adoption has become significant in various corporations, with employees from non-technological backgrounds incorporating AI processes into their functional roles.
Major Highlights of Machine Learning Market Report
1) Why this market research study would be beneficial?
– The study guides Machine Learning companies with strategic planning to ensure they realize and drive business value from their plans for growth strategy.
2) How scope of study is defined?
– The Machine Learning market is composed of different product/ service offering type, each with its own business models and technology. They include:
Component: Solution, and Services;
Enterprise Size: SMEs, and Large Enterprises;
Deployment: Cloud and On-premise;
End-user: Healthcare, Retail, IT and Telecommunication, BFSI, Automotive and Transportation, Advertising and Media, Manufacturing, and Others;
**Further breakdown / Market segmentation can be provided; subject to availability and feasibility of data.
3) Why Machine Learning Market would define new growth cycle ?
– Analysis says that Machine Learning Companies that have continues to invest in new products and services including via acquisitions have seen sustainable growth, whereas one with slower R&D investment growth have become stagnant. Technology companies with annual R&D growth over 20% have outperformed their peer group in revenue growth.
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The demand for cloud-based collaboration tools, content management solutions, and online streaming platforms has picked up. All organizations use analytics to Boost decision-making and automate processes for increased productivity and cost-effectiveness. To meet the demands of clients, new entrants use machine learning for activities ranging from designing games, translating language, predicting future market trends, composing music, as well as diagnosing diseases.
Research shows that Machine Learning companies have increased R&D spend and accelerated merger & acquisitions. To realize value they intend, companies like IBM Corporation, SAP SE, Oracle Corporation, Hewlett Packard Enterprise Company, Microsoft Corporation, Amazon, Inc., Intel Corporation, Fair Isaac Corporation, SAS Institute Inc., BigML, Inc. etc need to continuously evaluate their governance, risks and control, infrastructure, and talent to aligned planned growth strategies with their operating business models.
To comprehend Machine Learning market dynamics, the market study is analysed across major geographical regions/country
– North America: United States, Canada, and Mexico
– South & Central America: Argentina, Chile, Brazil and Others
– Middle East & Africa: Saudi Arabia, UAE, Israel, Turkey, Egypt, South Africa & Rest of MEA.
– Europe: UK, France, Italy, Germany, Spain, BeNeLux, Russia, NORDIC Nations and Rest of Europe.
– Asia-Pacific: India, China, Japan, South Korea, Indonesia, Thailand, Singapore, Australia and Rest of APAC.
Important Years in Machine Learning Market Study Major trends of Machine Learning Market using final data for 2019 and previous years, as well as quarterly or annual reports for 2021. In general, Years considered in the study i.e., base year as 2021, Historical data considered as 2017-2021 and Forecast time frame is 2022-2027.
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Key deterrents to the growth of the market:
Customers often show concerns about sharing information since their sensitive data may get leaked resulting in difficulty in implementation of cloud-based ML applications for most entrepreneurs. The infrastructure of the IT industry in third-world countries is not developed enough to enhance cloud-based business activities. When system requirements are omitted or not fully met due to human error intervention in the development, testing, or verification processes, system defects in data flow occur.
The Machine Learning study is a perfectly designed with mix of both statistically relevant quantitative data from industry, coupled with insightful qualitative comment and analysis from Industry experts and consultants. To ascertain a deeper view; Machine Learning Market Size by key business segments and applications for each of above listed region/country is provided along with competitive landscape that includes Comparative Market Share Analysis by Players (M USD) (2019-2021E) and market concentration rate of Machine Learning Industry in 2022.
In-depth company profiles for 15+ Machine Learning leading and emerging players that covers 3-years financial history, swot analysis and other vital information like legal name, website, headquarter, % market share and position, distribution and marketing channels and latest developments.
Driving and maintaining growth continues to be a top-of mind issue for Boards, CXOs, and investors in the Technology industry. Machine Learning companies and the chain of services supporting them are facing profound business challenges majorly from three factors:
1. The explosive rate at which competitors and Machine Learning industry is growing.
2. The amount of growth that is driven by innovation in technologies, value propositions, products and services.
3. The speed at which innovations needs to be furnished in order to drive growth in Machine Learning Market.
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Customer Identity & Access Management (CIAM) , Security OperationsConsumerization 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:
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."
|IBM||Lighthouse Security Group||Not Disclosed||August 2014|
|Ping Identity||UnboundID||Not Disclosed||August 2016|
ForgeRock in April refreshed the user interface around its authentication app to Boost 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."
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 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 latest 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 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.
HBCUs will work with IBM to establish Cybersecurity Leadership Centers, giving students and faculty access to IBM training, software, and certifications at no cost.
WASHINGTON, Sept. 21, 2022 /PRNewswire/ -- During the National HBCU Week Conference convened by the U.S. Department of Education and the White House, IBM (NYSE: IBM) announced its collaboration with 20 Historically Black College and Universities (HBCUs) to help them establish Cybersecurity Leadership Centers.
With 500,000 unfilled cybersecurity jobs in the U.S., the need for expertise is critical: According to a exact IBM Security study, insufficiently staffed organizations average $550,000 more in breach costs than those that state they are sufficiently staffed.**
"Collaborations between academia and the private sector can help students prepare for success. That's especially true for HBCUs because their mission is so vital," said Justina Nixon-Saintil, Vice President, IBM Corporate Social Responsibility and ESG. "The Cybersecurity Leadership Centers we're co-creating with Historically Black College and Universities epitomize our commitment to the Black community and STEM education; it also builds on our pledge to train 150,000 people in cybersecurity over three years."
IBM will collaborate with the following 20 HBCUs across 11 states to co-create Cybersecurity Leadership Centers, helping to create talent for employers and opportunities for students. (Six of these collaborations were previously announced in May*)
Through IBM's collaboration, faculty and students at participating schools will have access to coursework, lectures, immersive training experiences, certifications, IBM Cloud-hosted software, and professional development resources, all at no cost to them. This includes access to:
About IBM Education
As part of the company's Corporate Social Responsibility efforts, IBM's education portfolio takes a personalized, diverse, and deep approach to STEM career readiness. IBM's pro bono programs range from education and support for teens at public schools and universities, to career readiness resources for aspiring professionals and job seekers. IBM believes that education is best achieved through the collaboration of the public, private, and not-for-profit sectors.
IBM SkillsBuild is a free education program focused on underrepresented communities, that helps adult learners, and high school and university students and faculty, develop valuable new skills and access career opportunities. The program includes an online platform that is complemented by customized practical learning experiences delivered in collaboration with a global network of partners. The online platform offers over 1,000 courses in 19 languages on cybersecurity, data analysis, cloud computing and many other technical disciplines — as well as in workplace skills such as Design Thinking. Most important, participants can earn IBM-branded digital credentials that are recognized by the market. The customized practical learning experiences could include project-based learning, expert conversations with IBM volunteers, mentors, premium content, specialized support, connection with career opportunities, access to IBM software, among others. As of February 2022, IBM SkillsBuild operates in 159 counties and is supporting 1.72M learners since its launch.
About IBM Security
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned IBM Security X-Force® research, enables organizations to effectively manage risk and defend against emerging threats. IBM operates one of the world's broadest security research, development, and delivery organizations, monitors 150 billion+ security events per day in more than 130 countries, and has been granted more than 10,000 security patents worldwide. For more information, please check www.ibm.com/security, follow @IBMSecurity on Twitter or visit the IBM Security Intelligence blog.
* Announced in May 2022
** Cost of a Data Breach Report 2022, conducted by Ponemon Institute, sponsored & analyzed by IBM
IBM Media Relations
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IBM is on a mission to double its revenue via its partner ecosystem in the next three to five years, making some significant updates to its PartnerWorld program along the way.
As part of its efforts to re-position ecosystem partners at the center of the company’s go-to-market strategy, partners will now have access to the same badges and selling enablement materials as IBM sellers.
This is part of IBM’s ongoing commitment to growing its ecosystem.
“We will continue to make investments in the partner experience so that together, as a single team, we can achieve our goal of doubling revenue through the IBM ecosystem in the next 3–5 years,” said Kate Woolley, IBM’s ecosystem general manager.
The badges and additional materials are available through a new learning hub, designed to Boost the digital experience for partners.
“Users will notice a more modernised and consistent experience on the IBM training site, making it easier to find resources,” Woolley said.
All registered partners have access to these resources at the same time as IBM sellers, and at no cost.
“Partners have told us that the more expertise they attain in the IBM products they sell, the better equipped they are to win with clients,” Woolley said. “With this in mind, and with the goal of helping them win more, we have extended access to the same trainings, badges and enablement materials that our own sellers enjoy.”
New sales and technical badges aim to demonstrate a partner’s expertise, including the ability to position and differentiate an IBM solution to clients. The badges are also sharable on professional social platforms including LinkedIn.
Additional materials available to partners include sales demos, seller presentations, client presentations, and digital prospecting.
“I want to be clear – partners and IBMers are considered a single team,” Woolley said. “The investments we continue to make in the partner experience are a part of our ongoing commitment to be more essential to their businesses.”
According to Woolley, over the past year IBM have doubled brand-specialised partner sellers in the IBM ecosystem, increased technical partner sellers by more than 35 per cent and have launched its Partner Portal.
In April newly minted IBM APAC general manager, Paul Burton revealed two-thirds of IBM's revenue in APAC comes from the channel and had goals in place to make the overall pie even bigger.
To aid this, IBM APAC increased its channel account team by 20 per cent. Unlike previous teams, this new channel line-up will be unable to claim any commissions based on direct sales and will only be rewarded for channel deals. This, Burton hopes, will prevent any disintermediation of partners.
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IBM and Linux Foundation AI (LFAI) launched Machine Learning eXchange (MLX) as a one stop shop for trusted data and AI artifacts in open source and open governance.
MLX provides a collection of free, open source, state-of-the-art deep learning models for common application domains. The curated list includes deployable models that can be run as a microservice on Kubernetes or OpenShift and trainable models where users can provide their own data to train the models.
It provides developers and data scientists with automated demo pipeline code generation to execute registered models, datasets, and notebooks, and a pipelines engine powered by Kubeflow Pipelines on Tekton, the core of Watson Studio Pipelines.
It also provides a registry for Kubeflow Pipeline Components, dataset management by Datashim, and a serving engine by KFServing.
“Due to the large number of steps that need to be worked on in the Data and AI lifecycle, the process of building a model can be bifurcated amongst various teams and large amounts of duplication can arise when creating similar Datasets, Features, Models, Pipelines, Pipeline tasks, etc. This also poses a strong challenge for traceability, governance, risk management, lineage tracking, and metadata collection,” the contributors to the project said. “To solve the problems mentioned above, we need a central repository where all the different asset types like Datasets, Models, and Pipelines are stored to be shared and reused across organizational boundaries.”
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 Boost 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.
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,
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.
The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:
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
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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:
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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