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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.

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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 recent 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.

Wade Tyler Millward

Wade Tyler Millward is an associate editor covering cloud computing and the channel partner programs of Microsoft, IBM, Red Hat, Oracle, Salesforce, Citrix and other cloud vendors. He can be reached at wmillward@thechannelcompany.com.

Tue, 04 Oct 2022 07:15:00 -0500 en text/html https://www.crn.com/news/channel-programs/ibm-expands-partner-access-to-training-resources
Killexams : Hispanic Heritage Foundation Announces Collaboration with IBM to Upskill Latinos Through IBM SkillsBuild and Meet America's Workforce Needs

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

Program to prepare, certify and position Latinos for the future through tech ed and job skills

Oct 14, 2022 (3BL Media via COMTEX) -- SOURCE:IBM

DESCRIPTION:

WASHINGTON, October 14, 2022 /3BL Media/ - The Hispanic Heritage Foundation (HHF) announced today its collaboration with IBM (NYSE: IBM) which includes leveraging IBM SkillsBuild - a free education program that helps students and adult learners develop valuable new skills and access career opportunities in technology fields - by providing digital content, personalized mentoring, and the experiential learning they need to gain technical, critical thinking, and creative problem-solving skills. The program will be offered for FREE to HHF Network, is completely digital, and includes IBM-branded digital credentials that are recognized by the market to create direct pathways to tech jobs. The effort will be open to high school students, college students, young professionals, and adult learners.

"This IBM SkillsBuild collaboration has been a transformational goal of our tech pathways strategy and goal for years," said Jose Antonio Tijerino, President, and CEO of HHF. "Our community has a tremendous value proposition for America's workforce and through this innovative collaboration, America can benefit from the talent we have always had to offer. Our collective mission is to provide training and opportunities for our community to make an impact in the tech sector.

We are grateful to IBM for allowing us to leverage their expertise and pathways in preparing the Latinx community for jobs that desperately need to be filled. As Latinos, we're ready as we always have been."

The learning pathways available through IBM SkillsBuild include courses on workplace skills, such as communication and leadership skills designed for any beneficiary wishing to understand how to work in the digital world, as well as courses on data analytics, cybersecurity, cloud computing, and many other technical disciplines. The program will also help early school leavers and long-term unemployed to gain what is required to re-enter the workforce. Courses are available in English and Spanish, providing Hispanic learners with a better and deeper understanding of course materials, to help ensure completion and professional competency.

"As a Latina, I am very excited and honored to be partnering with the Hispanic Heritage Foundation to provide free education and career readiness resources to Hispanics nationwide," said Claudia Cortes Romanelli, Director of Corporate Social Responsibility at IBM. "I see every day the great opportunity to invest in skilling the next generation of STEM talent from the Hispanic community. We look forward to working with HHF as part of our commitment to equitably skill 30 million people worldwide."

The Hispanic Heritage Foundation award-winning LOFT (Latinos on Fast Track) program is a leadership and workforce development program and network with a focus on various sectors or "tracks," including tech. HHF's broad network and beyond will be exposed to IBM SkillsBuild to learn, and build skills in artificial intelligence, data science, cloud, security, information technology, and more, with opportunities for mentoring and networking in the tech space as well as earning certifications and placements into the workforce.

IBM and HHF's collaboration is part of IBM's commitment to equitably skill 30 million people globally by 2030.

About the Hispanic Heritage Foundation

HHF's mission focuses on education, the workforce, identity, and social impact through the lens of leadership and culture. For more information, visit www.hispanicheritage.org and follow the Hispanic Heritage Foundation on Instagram, Facebook, Twitter, and TikTok

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 importantly, participants can earn IBM-branded digital credentials recognized by the market. The customized practical learning experiences could include project-based learning, expert conversations with IBM volunteers and mentors, premium content, specialized support, connection with career opportunities, and access to IBM software. IBM SkillsBuild operates in 168 counties and has supported 2.2M learners.

Media Contact:

Estefania Sanchez
estefania.sanchez@ibm.com

Tweet me:.@IBMImpact announces collaboration with @hhfoundation to upskill Latinos through #IBMSkillsBuild as part of its commitment to equitably skill 30 million people globally by 2030: https://bit.ly/3CqDzMG #HispanicHeritageMonth

KEYWORDS: NYSE:IBM, IBM, Hispanic Heritage Foundation, skills development, IBM SkillsBuild

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Killexams : BigBear hires IBM vet as new chief executive

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Wed, 12 Oct 2022 08:50:00 -0500 en text/html https://washingtontechnology.com/companies/2022/10/bigbear-hires-ibm-vet-new-chief-executive/378301/
Killexams : Better Buy: IBM Stock vs. 2-Year Treasury Notes

Investors this year increasingly turned away from dividend stocks in favor of the rising yields being offered on bonds. Given that investors can now earn a 4.3% return on a 2-year Treasury note, many prefer that guaranteed return to the risks of putting money into the stock market.

International Business Machines (IBM 1.23%) offers a dividend yield that exceeds that bond return. But with a bear market in progress, are investors better served to take a chance on the cloud stock or to take the 4.3% return at virtually zero risk?

IBM and its dividend

IBM didn't participate in the bull market of the 2010s. The stock dropped as its tech businesses suffered a considerable growth slowdown. In an effort to change that, IBM pivoted into the cloud computing sector aggressively, in part via its $34 billion purchase of Red Hat in 2019. Grand View Research forecasts a compound annual growth rate of 16% through 2030 for the cloud industry. Growth like that could certainly help both IBM and its stock.

Also, IBM spun off its managed infrastructure business into a new public company, Kyndryl. This business was less of a fit with the parent company amid its pivot to the cloud. Separating it off should make it easier for IBM to grow its revenue.

Time will tell if these moves can help the stock price recover. Nonetheless, IBM currently pays its shareholders $1.65 per share every quarter, or $6.60 per share annually. At the current stock price, that adds up to a yield of 5.6% per year. Moreover, depending on your financial situation, the IRS may tax your dividends at a lower capital gains rate, which can offer an added advantage.

Additionally, IBM hiked its payout annually for 27 consecutive years, making it a Dividend Aristocrat. That status carries some importance as many income investors will be more inclined to buy and hold IBM stock because of this status. Also, since abandoning Dividend Aristocrat status tends to hurt a stock, management will probably prioritize maintaining it by continuing to raise those payouts.

Investors also can also reinvest their dividend payments into more IBM stock. However, such newly purchased shares will pay you the dividend yield at that time. The return will rise if the stock falls since investors can buy the exact cash return at a lower price. Conversely, cash yields will drop if the stock rises, but those investors still benefit since the stock has increased in value.

What to know about 2-year Treasury notes

U.S. Treasury notes offer more stability than stocks such as IBM. Investors who purchase the 2-year Treasury note receive semiannual interest payments. At the current interest rate of 4.3%, investors will receive a 2.15% cash return on their invested amount in each of the subsequent three six-month periods. In the fourth period, when the note matures, investors receive the final 2.15% payment along with the return of their principal.

Investors should also be aware that bond values can fluctuate. If interest rates drop, the value of the bond will fall; the opposite will happen if rates rise. This affects investors if they decide to sell the bond early. Upon maturity, the note will return to its par (or nominal) value.

Additionally, bond interest payments are subject to federal income tax but exempt from state and local taxes. In some cases, this is higher than taxes on dividends. Still, bond issuers are obligated to make such payments. In contrast, IBM faces no legal obligation to continue its dividend.

Also, like with a stock, investors can reinvest their interest payments into more notes or other forms of Treasury bonds. However, those purchases will be subject to the prevailing interest rates at that time.

IBM or the 2-year Treasury note?

Investors who lack much risk tolerance should choose the Treasury note. Given its guaranteed return, they will not have to worry about volatility.

Nonetheless, for investors comfortable with buying stocks, IBM is a surprisingly strong buy. The cloud industry is in growth mode, which should propel IBM stock to a long-awaited turnaround. Moreover, IBM has repeatedly shown it wants to hold on to its Dividend Aristocrat status. This should supply its income investors returns that are not only larger than the bonds offer, but also likely to increase in size.

Will Healy has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.

Fri, 14 Oct 2022 00:20:00 -0500 Will Healy en text/html https://www.fool.com/investing/2022/10/14/better-buy-ibm-stock-vs-2-year-treasury-note/
Killexams : Learning Analytics Market is Expected to Record the Massive Growth, with Prominent Key Players Oracle, Blackboard, IBM

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 Improve 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.

Get the PDF sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

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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 recent 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

For Any Query or Customization: https://a2zmarketresearch.com/ask-for-customization

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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Wed, 12 Oct 2022 04:08:00 -0500 A2Z Market Research en-US text/html https://www.digitaljournal.com/pr/learning-analytics-market-is-expected-to-record-the-massive-growth-with-prominent-key-players-oracle-blackboard-ibm
Killexams : IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions No result found, try new keyword!As part of their partnership, IBM and Amazon Web Services (AWS ... from protecting Personal Identifiable Information (PII) to safeguards that meet Payment Card Industry (PCI) compliance, meant ... Wed, 12 Oct 2022 14:17:00 -0500 en-US text/html https://www.cio.com/article/409679/ibm-and-aws-create-a-path-to-modernization-via-industry-specific-solutions.html Killexams : ForgeRock, Ping, IBM, Okta Top KuppingerCole CIAM Tech Eval

Customer Identity & Access Management (CIAM) , Security Operations

Consumerization of IT Has Brought CIAM Methods, Technologies to Workforce IAM Space
ForgeRock, Ping, IBM, Okta Top KuppingerCole CIAM Tech Eval

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 Improve 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 supply 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 supply 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 newest tools should supply 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.

Thu, 13 Oct 2022 12:00:00 -0500 en text/html https://www.healthcareinfosecurity.com/forgerock-ping-ibm-okta-top-kuppingercole-ciam-tech-eval-a-20269 Killexams : Cyolo Receives Investment from IBM Ventures for Zero Trust Secure Access Platform TEL AVIV, ISRAEL, Oct. 12, 2022Cyolo, creator of a zero trust identity-based access solution for IT and OT, announced today a new investment from IBM Ventures. Together IBM Ventures and Cyolo plan to collaborate and help modernize authentication for digital businesses.

In today's digital environment, organizations need to evolve their access and connectivity security to protect today's distributed work environments. With 84% of organizations having experienced identity-based cyberattacks, it's no longer safe to grant employees universal access to an entire network. Instead, access and connectivity should be granted on an individual basis and mapped to specific assets and data.

In addition to financial investment, IBM will provide cybersecurity expertise and technical resources in support of Cyolo’s Zero Trust Secure Access platform. Additionally, the teams will collaborate on go-to-market initiatives ranging from partner engagements to panel sessions in support of Cyolo’s mission to connect users to the assets they need to do their job simply, safely, and efficiently.

IBM Ventures' investment in Cyolo is further evidence of the urgent need for cybersecurity solutions that reduce complexity and work seamlessly across distributed workforces and environments. Earlier this year, IBM Ventures participated in Cyolo's Series B, contributing to the company's total raise of $60 Million. The new investment will help Cyolo to further scale its market presence.

"For many enterprises, the acceleration of remote workers has created both opportunities and challenges. The distributed model for people and assets has made connecting and securing them difficult," said Prof. Yaron Wolfsthal, Head of IBM Cyber Security CoE, Israel. "With IBM's investment in Cyolo, we'll continue our focus to make sure clients can break down silos and quickly provide secure access across the distributed environments," said Ben Daniels, IBM Ventures Partner.

"As we see the demand for identity-based access solutions continue to grow, we're excited to partner with such an industry leader like IBM to accelerate our growth and providing even greater cyber resilience to our already extensive market reach," said Cyolo CEO and co-founder Almog Apirion. "We look forward to working with IBM as we enable more companies to have ease of mind knowing that their digital assets have security protections in place from edge to core."

About Cyolo

Cyolo helps organizations in the IT and OT spaces to stay both secure and productive in an era of distributed workforces and unprecedented cyber threats. Cyolo’s next-generation zero trust network access solution (ZTNA 2.0) enables all users, including employees, third parties, and remote and on-site workers, to seamlessly and securely connect to their working environments via modern identity-based access. With one unified solution that integrates with the existing tech stack and deploys easily in the cloud, on-prem or in a hybrid model, Cyolo empowers the global workforce to securely access applications, files, servers, and workloads from any device on local networks or in the cloud. To learn more, visit https://cyolo.io.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only

Wed, 12 Oct 2022 04:29:00 -0500 en text/html https://www.darkreading.com/remote-workforce/cyolo-receives-investment-from-ibm-ventures-for-zero-trust-secure-access-platform
Killexams : AI models can now continually learn from new data on intelligent edge devices like smartphones and sensors

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on "edge devices" that work independently from central computing resources.

Training a machine-learning model on an intelligent edge device allows it to adapt to new data and make better predictions. For instance, training a model on a smart keyboard could enable the keyboard to continually learn from the user's writing. However, the training process requires so much memory that it is typically done using powerful computers at a data center, before the model is deployed on a device. This is more costly and raises privacy issues since user data must be sent to a central server.

To address this problem, researchers at MIT and the MIT-IBM Watson AI Lab developed a new technique that enables on-device training using less than a quarter of a megabyte of memory. Other training solutions designed for connected devices can use more than 500 megabytes of memory, greatly exceeding the 256-kilobyte capacity of most microcontrollers (there are 1,024 kilobytes in one megabyte).

The intelligent algorithms and framework the researchers developed reduce the amount of computation required to train a model, which makes the process faster and more memory efficient. Their technique can be used to train a machine-learning model on a microcontroller in a matter of minutes.

This technique also preserves privacy by keeping data on the device, which could be especially beneficial when data are sensitive, such as in medical applications. It also could enable customization of a model based on the needs of users. Moreover, the framework preserves or improves the accuracy of the model when compared to other training approaches.

"Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes deep learning more accessible and can have a broader reach, especially for low-power edge devices," says Song Han, an associate professor in the Department of Electrical Engineering and Computer Science (EECS), a member of the MIT-IBM Watson AI Lab, and senior author of the paper describing this innovation.

Joining Han on the paper are co-lead authors and EECS PhD students Ji Lin and Ligeng Zhu, as well as MIT postdocs Wei-Ming Chen and Wei-Chen Wang, and Chuang Gan, a principal research staff member at the MIT-IBM Watson AI Lab. The research will be presented at the Conference on Neural Information Processing Systems.

Han and his team previously addressed the memory and computational bottlenecks that exist when trying to run machine-learning models on tiny edge devices, as part of their TinyML initiative.

Lightweight training

A common type of machine-learning model is known as a neural network. Loosely based on the human brain, these models contain layers of interconnected nodes, or neurons, that process data to complete a task, such as recognizing people in photos. The model must be trained first, which involves showing it millions of examples so it can learn the task. As it learns, the model increases or decreases the strength of the connections between neurons, which are known as weights.

The model may undergo hundreds of updates as it learns, and the intermediate activations must be stored during each round. In a neural network, activation is the middle layer's intermediate results. Because there may be millions of weights and activations, training a model requires much more memory than running a pre-trained model, Han explains.

Han and his collaborators employed two algorithmic solutions to make the training process more efficient and less memory-intensive. The first, known as sparse update, uses an algorithm that identifies the most important weights to update at each round of training. The algorithm starts freezing the weights one at a time until it sees the accuracy dip to a set threshold, then it stops. The remaining weights are updated, while the activations corresponding to the frozen weights don't need to be stored in memory.

"Updating the whole model is very expensive because there are a lot of activations, so people tend to update only the last layer, but as you can imagine, this hurts the accuracy. For our method, we selectively update those important weights and make sure the accuracy is fully preserved," Han says.

Their second solution involves quantized training and simplifying the weights, which are typically 32 bits. An algorithm rounds the weights so they are only eight bits, through a process known as quantization, which cuts the amount of memory for both training and inference. Inference is the process of applying a model to a dataset and generating a prediction. Then the algorithm applies a technique called quantization-aware scaling (QAS), which acts like a multiplier to adjust the ratio between weight and gradient, to avoid any drop in accuracy that may come from quantized training.

The researchers developed a system, called a tiny training engine, that can run these algorithmic innovations on a simple microcontroller that lacks an operating system. This system changes the order of steps in the training process so more work is completed in the compilation stage, before the model is deployed on the edge device.

"We push a lot of the computation, such as auto-differentiation and graph optimization, to compile time. We also aggressively prune the redundant operators to support sparse updates. Once at runtime, we have much less workload to do on the device," Han explains.

A successful speedup

Their optimization only required 157 kilobytes of memory to train a machine-learning model on a microcontroller, whereas other techniques designed for lightweight training would still need between 300 and 600 megabytes.

They tested their framework by training a computer vision model to detect people in images. After only 10 minutes of training, it learned to complete the task successfully. Their method was able to train a model more than 20 times faster than other approaches.

Now that they have demonstrated the success of these techniques for computer vision models, the researchers want to apply them to language models and different types of data, such as time-series data. At the same time, they want to use what they've learned to shrink the size of larger models without sacrificing accuracy, which could help reduce the carbon footprint of training large-scale machine-learning models.

This work is funded by the National Science Foundation, the MIT-IBM Watson AI Lab, the MIT AI Hardware Program, Amazon, Intel, Qualcomm, Ford Motor Company, and Google.

Tue, 04 Oct 2022 07:12:00 -0500 en text/html https://www.sciencedaily.com/releases/2022/10/221004134359.htm
Killexams : See Which Of The Latest 13F Filers Holds IBM No result found, try new keyword!In terms of shares owned, we count 6 of the above funds having increased existing IBM positions from 06/30/2022 to 09/30/2022, with 2 having decreased their positions. Looking beyond these ... Thu, 13 Oct 2022 02:26:00 -0500 text/html https://www.nasdaq.com/articles/see-which-of-the-latest-13f-filers-holds-ibm-1 M2150-728 exam dump and training guide direct download
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