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IBM Commerce Solutions Supply Chain Mgmt Technical Mastery Test v1
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Killexams : IBM Solutions learning - BingNews Search results Killexams : IBM Solutions learning - BingNews Killexams : IBM Expands Partner Access To Training Resources

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 latest 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

Tue, 04 Oct 2022 07:15:00 -0500 en text/html
Killexams : Hispanic Heritage Foundation Announces Collaboration with IBM to Upskill Latinos Through IBM SkillsBuild and Meet America's Workforce Needs

Published 10-14-22

Submitted by IBM

3 women looking at an open laptop

WASHINGTON, October 14, 2022 /CSRwire/ - 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 and follow the Hispanic Heritage Foundation on InstagramFacebookTwitter, 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

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Innovation – joining invention and insight to produce important, new value – is at the heart of what we are as a company. And, today, IBM is leading an evolution in corporate citizenship by contributing innovative solutions and strategies that will help transform and empower our global communities.

Our diverse and sustained programs support education, workforce development, arts and culture, and communities in need through targeted grants of technology and project funds. To learn more about our work in the context of IBM's broader corporate responsibility efforts, please visit Innovations in Corporate Responsibility.

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Fri, 14 Oct 2022 01:02:00 -0500 en text/html
Killexams : 10 Best Machine Learning Stocks To Invest In

In this article, we will discuss the 10 best machine learning stocks to invest in. If you want to explore similar stocks, you can also take a look at 5 Best Machine Learning Stocks To Invest In.

The Global Machine Learning Industry

According to an industry analysis report by Fortune Business Insights, the global machine learning industry was valued at $15.4 billion in 2021 and is expected to reach a value of over $21 billion in 2022. The machine learning industry is expected to grow at a compound annual growth rate of 38.8% from 2022 through 2029 and reach a value of $210 billion by the end of 2029. One of the major drivers of this growth is the increasing adoption of machine learning in a variety of industries including technology, healthcare, manufacturing, automotive, retail, advertising, automation, defense, and financial services among others.

While the machine learning industry is a high-growth industry and growth stocks have been getting hammered in 2022 due to high interest rates that are straining their earnings, long-term investors can in fact benefit from the latest weakness. As of September 30, the Nasdaq composite index has declined 33% year to date.

Investors that are in the stock market for the long term can rack up shares of leading companies in the space while they are still at or close to the bottom. Some of the biggest players in the machine learning industry include Microsoft Corporation (NASDAQ:MSFT), Alphabet Inc. (NASDAQ:GOOG), and, Inc. (NASDAQ:AMZN).


Our Methodology

To determine the 10 best machine learning stocks to buy now, we reviewed the industry and identified major players that develop software and hardware for machine learning applications. We narrowed down our selection to companies that had positive market sentiment and strong product pipelines. Along with each stock, we have mentioned the hedge fund sentiment, analyst ratings, and their products. We have ranked these stocks according to their popularity among elite hedge funds. The hedge fund sentiment was sourced from Insider Monkey's database, which keeps track of roughly 900 elite hedge funds as of the second quarter of 2022.

10 Best Machine Learning Stocks To Invest In

10. International Business Machines Corporation (NYSE:IBM)

Number of Hedge Fund Holders: 40

International Business Machines Corporation (NYSE:IBM) is a pioneer in developing solutions for the development and deployment of machine learning models. The company's IBM Watson Studio allows support for the development, training, and testing of machine learning models. The IBM Watson Studio is among the most popular data science platforms that is used by machine learning engineers worldwide.

International Business Machines Corporation (NYSE:IBM) is a leader in the artificial intelligence space and is one of the best machine learning stocks to buy now. On September 27, International Business Machines Corporation (NYSE:IBM) announced a strategic collaboration with the Saudi Data and Artificial Intelligence Authority to use artificial intelligence for carbon capture across the Kingdom of Saudi Arabia. The two entities will jointly leverage the technological advancements in AI and machine learning to detect, map, and mitigate carbon emissions across the country.

On August 16, Credit Suisse analyst Shannon Cross raised her price target on International Business Machines Corporation (NYSE:IBM) to $163 from $156 and assumed coverage of the stock with an Outperform rating. Over the past three months, the stock has received 5 Buy and 4 Hold ratings from Wall Street analysts and has an average price target of $145, which represents an upside of 22% from current levels.

At the close of the second quarter of 2022, 40 hedge funds were bullish on International Business Machines Corporation (NYSE:IBM) and held stakes worth $948 million in the company. As of June 30, Arrowstreet Capital owns more than 2.6 million shares of International Business Machines Corporation (NYSE:IBM) and is the largest shareholder in the company.

In addition to International Business Machines Corporation's (NYSE:IBM) Watson Studio, some of the top cloud platforms that machine learning engineers build and train complex AI models on are offered by Microsoft Corporation (NASDAQ:MSFT), Alphabet Inc. (NASDAQ:GOOG), and, Inc. (NASDAQ:AMZN).

9. Snowflake Inc. (NYSE:SNOW)

Number of Hedge Fund Holders: 65

Snowflake Inc. (NYSE:SNOW) is a leading provider of cloud computing services and its cloud platform is optimized for running machine learning algorithms. The company's platform is compatible with machine learning languages and environments such as Spark, R, Qubole, and Python. As of September 30, the company has free cash flows of $292.5 million and is therefore one of the best cash-rich machine learning stocks to buy right now.

On August 24, Snowflake Inc. (NYSE:SNOW) released market-beating earnings for the fiscal second quarter of 2023. The company reported sales of $497.25 million, up 83% year over year, and beat Wall Street estimates by $30 million. The company reported earnings per share of $0.01 and beat expectations by $0.02.

Wall Street analysts are bullish on Snowflake Inc. (NYSE:SNOW). On September 22, MoffettNathanson analyst Sterling Auty initiated coverage of Snowflake Inc. (NYSE:SNOW) with a $242 price target and a Buy rating. This September Needham analyst Mike Cikos initiated coverage of Snowflake Inc. (NYSE:SNOW) with a $240 price target and a Buy rating.

At the end of the second quarter of 2022, 65 hedge funds were long Snowflake Inc. (NYSE:SNOW) and held stakes worth $5.12 billion in the company. As of June 30, Altimeter Capital Management is the top shareholder in Snowflake Inc. (NYSE:SNOW) and has stakes worth $2.36 billion in the company.

Here is what Baron Funds had to say about Snowflake Inc. (NYSE:SNOW) in its second-quarter 2022 investor letter:

“During the quarter, we added to three of our cloud infrastructure positions – Snowflake Inc., Cloudflare, Inc., and Datadog, Inc.While investors are concerned that a weakening macroeconomic environment will be a near term headwind to growth as customers may slow down their cloud expansions, we remain focused on the long term – duration of growth, competitive advantages, and innovative capabilities and are happy to increase our positions at a more attractive price. For example, Snowflake, the leading data cloud provider, during its latest user conference, announced several new products, which significantly expand its addressable market…” (Click here to see the full text)

8. Micron Technology, Inc. (NASDAQ:MU)

Number of Hedge Fund Holders: 69

Micron Technology, Inc. (NASDAQ:MU) is a leading manufacturer of semiconductors and memory storage products. The company's products are used widely for machine learning and deep learning applications. Micron Technology, Inc.'s (NASDAQ:MU) deep learning accelerators allow for deep learning algorithms to run in a more energy-efficient and optimized manner. The company's solid pipeline of hardware products for the most data-intensive applications in machine learning and high-performance computing justifies its inclusion among the best machine learning stocks to buy now.

On September 29, Micron Technology, Inc. (NASDAQ:MU) announced earnings for the fourth quarter of fiscal 2022. The company reported earnings per share of $1.45 and outperformed Wall Street estimates by $0.08. The company's revenue for the quarter amounted to $6.64 billion. As of September 30, Micron Technology, Inc. (NASDAQ:MU) is trading at a PE multiple of 6x and has a trailing twelve-month operating margin of 31.70%, making it an undervalued and profitable machine learning stock to buy now.

Shortly after the company's earnings release, JPMorgan analyst Harlan Sur reiterated his $65 price target and buy-side Overweight rating on Micron Technology, Inc. (NASDAQ:MU). On September 30, Needham analyst Rajvindra Gill revised his price target on Micron Technology, Inc. (NASDAQ:MU) to $60 from $64 and maintained a Buy rating on the shares.

At the close of Q2 2022, 69 hedge funds were eager on Micron Technology, Inc. (NASDAQ:MU) and held stakes worth $2.16 billion in the company. As of June 30, Matrix Capital Management owns 4 million shares of Micron Technology, Inc. (NASDAQ:MU) and is largest shareholder in the company. The fund's stakes are valued at $221 million and the investment covers 5% of the fund's 13F portfolio.

Here is what Meridian Funds had to say about Micron Technology, Inc. (NASDAQ:MU) in its second-quarter 2022 investor letter:

Micron Technology, Inc. (NASDAQ:MU) is a leader in the production of DRAM and NAND memory. We invested in the stock in the third quarter of 2019 during a cyclical downturn in the memory industry. Our rationale was that, while the memory industry is cyclical, we believed there are strong secular drivers in place that will lead to higher peaks and long-term growth. Our secular thesis is based on our conviction that the quest for ever-increasing compute speeds will increasingly rely on memory to solve bottlenecks and that increased memory content in nearly everything from mobile phones to automobiles will drive demand. Micron’s stock traded lower during the quarter due to macroeconomic concerns that led to lower earnings expectations. We increased our stake in the company, as we believe our secular thesis remains intact. We wanted to take advantage of what we view as temporary cyclical concerns that caused the stock to trade at less than 10x reasonable trough earnings per share (EPS) estimates and less than 7x latest peak EPS.”

7. CrowdStrike Holdings, Inc. (NASDAQ:CRWD)

Number of Hedge Fund Holders: 77

CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is a leading American cybersecurity company that leverages the advancements in artificial intelligence and machine learning to provide intelligent endpoint security, threat intelligence, and cyberattack response services. The company is a pioneer in developing cybersecurity solutions backed by machine learning and deep learning algorithms and is therefore ranked high among the best machine learning stocks to buy now.

On September 30, Capital One analyst Connor Murphy started coverage of CrowdStrike Holdings, Inc. (NASDAQ:CRWD) with a buy-side Overweight rating and a $235 price target. Over the past three months, CrowdStrike Holdings, Inc. (NASDAQ:CRWD) has received 22 Buy ratings and 1 Hold rating from Wall Street analysts and has a consensus analyst rating of Strong Buy. The stock's median price target sits at $236 and implies an upside of 43%.

At the end of Q2 2022, 77 hedge funds were bullish on CrowdStrike Holdings, Inc. (NASDAQ:CRWD) and held stakes worth $4.10 billion in the company. As of June 30, Tiger Global Management LLC is the top shareholder in the company and has stakes worth $1.10 billion.

Here is what Carillon Tower Advisers had to say about CrowdStrike Holdings, Inc. (NASDAQ:CRWD) in its second-quarter 2022 investor letter:

CrowdStrike Holdings, Inc. (NASDAQ:CRWD), a security software platform for protecting information technology assets and cloud workloads, delivered strong earnings results, with solid recurring revenue, customer growth, and profitability. Some investors, however, hoped for bigger numbers on the annual recurring revenue metric. Additionally, CrowdStrike has shown a desire to continue to hire to fuel growth, and so the expected increase in future profitability will be held back somewhat in the near term. We remain positive on the company’s prospects, as current geopolitical tensions make cyber security mission-critical.”

6. NVIDIA Corporation (NASDAQ:NVDA)

Number of Hedge Fund Holders: 84

NVIDIA Corporation (NASDAQ:NVDA) is the world's biggest manufacturer of high-end graphics processing units and semiconductors. The company's products are vital to computer vision, deep learning, and machine learning applications. Moreover, NVIDIA Corporation (NASDAQ:NVDA) also provides is GPU power over the cloud for machine learning engineers to develop apps on Azure, Google Cloud Platform, and Amazon Web Services. NVIDIA Corporation (NASDAQ:NVDA) is leading the artificial intelligence industry with its next-generation hardware and is one of the best machine learning stocks to invest in.

This September, JPMorgan analyst Harlan Sur reiterated his $220 price target and buy-side Overweight rating on NVIDIA Corporation (NASDAQ:NVDA). The analyst noted that NVIDIA Corporation (NASDAQ:NVDA) "continues to be 1-2 steps ahead of its competitors". On September 21, Barclays analyst Blayne Curtis maintained an Overweight rating and his $190 price target on NVIDIA Corporation (NASDAQ:NVDA).

At the end of the second quarter of 2022, 84 hedge funds were long NVIDIA Corporation (NASDAQ:NVDA) and held stakes worth $3.31 billion in the company. Of those, Fisher Asset Management was the largest shareholder in the company with stakes worth $1.15 billion. The investment covers 0.81% of Ken Fisher's 13F portfolio.

Here is what Baron Funds had to say about NVIDIA Corporation (NASDAQ:NVDA) in its second-quarter 2022 investor letter:

“At the company-specific level, there was a broad correction across the entire portfolio. While four of our holdings contributed to performance, the contribution to absolute returns was less than 100bps combined, as unfortunately none of them were large enough to move the needle. We had 16 investments detracting over 100bps each with NVIDIA (NASDAQ:NVDA), our second largest detractor, costing the Fund 254bps.

NVIDIA’s stock was hit even harder, down 44.4%, impacted by concerns over the health of the consumer, dramatic declines in crypto, and COVID-related lockdowns in China. Despite the sell-off and the increased near-term volatility in its gaming business, NVIDIA’s revenues grew 46% year-over-year with 48% operating margins, driven by continued strength in its data center business as companies across industries adopt AI and ML…” (Click here to see the full text)

Some of the top beneficiaries of secular growth trends in machine learning and artificial intelligence include Microsoft Corporation (NASDAQ:MSFT), Alphabet Inc. (NASDAQ:GOOG),, Inc. (NASDAQ:AMZN), and NVIDIA Corporation (NASDAQ:NVDA).

Click to continue practicing and see 5 Best Machine Learning Stocks To Invest In

Suggested articles:

Disclosure: None. 10 Best Machine Learning Stocks To Invest In is originally published on Insider Monkey.

Mon, 03 Oct 2022 04:53:00 -0500 en-US text/html
Killexams : Learning Management System Market projected to reach $37.9 billion by 2026, with a remarkable CAGR of 19.1%

According to a research report "Learning Management System Market by Component (Solutions and Services), Delivery Mode (Distance Learning, Instructor-led Training, and Blended Learning), Deployment, User Type (Academic and Corporate), and Region - Global Forecast to 2026″ published by MarketsandMarkets, the global LMS Market size to grow from USD 15.8 billion in 2021 to USD 37.9 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.1% during the forecast period. The LMS Market is fuelled by enterprises focusing more on human capital development. Effective employee learning and development brings a positive impact on employee performance and organizational competitiveness. Training also helps employees develop a positive attitude toward learning and improving proficiency, which results in enhanced productivity and competitiveness in the workplace and the organization.

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A learning management system (LMS) is an e-learning platform used to design, deliver, and track training programs. It offers a blended learning environment, extensive batch management, monitoring of course completion, and automation for a seamless training experience. Organizations deploy LMS to impart goal-specific training and make learning easy and interactive. LinkedIn's Workplace Learning Report (2022) puts learning and development (L&D) at the forefront of businesses, with 53% of learning and development (L&D) professionals suggesting that the learning function is integral to success and 48% of organizations working toward deploying learning management systems by increasing their investment capacity.

Cornerstone OnDemand, D2L, Blackboard, IBM (Kenexa), Adobe Systems, Docebo, and Cypher Learning are among the key players in the learning management system market.

Major trends that play an instrumental role in shaping the learning management system market include:

  • LMS offers easy integration capabilities to business systems and has become a top priority to enable a learning strategy that directly impacts business processes and results
  • Artificial intelligence (AI) and machine learning (MI) technologies streamline learning and facilitate e-learning management through data analytics, chatbots, and assigning of tasks
  • Gamification and game-based learning instill motivation through badges, points, and leaderboards, encouraging learners to focus more on the course
  • Integrating microlearning-which has a higher completion rate and could be used as on-the-go training-with LMS will make it easier for learners to access course materials anywhere
  • Augmented reality (AR) and virtual reality (VR) allow trainers to understand and measure users' progress and take corrective measures to boost efficiency
  • Big data analytics can determine the company's ROI on training by analyzing user experiences and performance data

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There is no question that technology has transformed businesses today. We now live in an interconnected world where traditional training methods have become less relevant. With technological advances, modern LMS has become more than an administrative tool to deliver and track e-learning-it has adapted to innovative trends and techniques, creating a more personalized and collaborative learning experience.

Market Players

Major vendors in the LMS Market include Cornerstone OnDemand (US), Blackboard (US), PowerSchool (US), Instructure (US), D2L (Canada), SAP (Germany), SumTotal (US), IBM (US), LTG (UK), Oracle (US), Infor (US), Adobe (US), and Docebo (US).

About MarketsandMarkets™:

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their pain points around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.


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Fri, 14 Oct 2022 11:32:00 -0500 en text/html
Killexams : IT services sector (read: IBM, others) faces talent challenges but new opportunities emerge

Editor’s note: Technology Business Research analysts focuses on technology markets and companies that move and shape those markets. 


HAMPTON, N.H. – Revenue expansion in the IT services sector continues, driven by vendors’ investments in talent and portfolio expansion and emphasis on strengthening relationships with customers and alliance partners.

While political and macroeconomic challenges such as rising inflation and the natural gas crisis are factors that might create pockets of slower growth, TBR expects the overall IT services market to continue to grow in the coming quarters. IT systems have become corporate utilities that enable clients to transform business models, contain costs and accelerate growth, and TBR expects demand for IT services around digital transformation to remain elevated. For the rest of 2022, attracting and managing talent will remain vendors’ core challenge to successfully growing revenue and managing costs.

Prediction No. 1: Focus on talent management, refined during the pandemic, will recede in a post-pandemic environment

Senior Analyst Elitsa Bakalova: Talent management remained a core priority and challenge for IT services providers, and none of the standard HR approaches changed during the first nine months of 2022 as vendors strived to capture rising demand for digital transformation.

As TBR predicted at the end of 2021, attracting, retaining, upskilling, promoting and rewarding talent are all necessary HR motions and further accelerated during the past three quarters. There is an ever-increasing need for people as vendors build their benches to capture opportunities and support revenue growth. New job creation and the gradual alleviation of pandemic pressures have encouraged employees to pursue career-building opportunities, leading to elevated employee attrition of 20.8% in 2Q22 compared to 16% in 2Q21, 14.1% in 2Q20 and 17.6% in 2Q19, on average, for the 31 vendors in TBR’s IT Services Vendor Benchmark. While vendors continue to recruit via traditional methods, more are investing in reskilling and upskilling as well as launching educational initiatives.

Finding and keeping employees in the IT services market is increasingly difficult as talent poaching intensifies for a finite number of resources and companies’ bookings remain high. Vendors continue to place a premium on skilled resources, offering sizable signing bonuses and higher wages. Increasing labor costs due to wage hikes and robust retention bonuses along with rising facility, travel and communication expenses are pressuring IT services vendors’ profitability.

Prediction No. 2: The decarbonization shift from promises to actual results opens a massive opportunity for IT services

Elitsa: This prediction remained true during the first nine months of 2022 as vendors TBR identified as decarbonization leaders continued to invest in developing their services and solutions portfolios to support clients’ sustainability initiatives and address their internal decarbonization-related pledges. As we anticipated, IT services vendors are increasingly bringing clarity to decarbonization by harnessing emerging technologies such as blockchain as well as established analytics and AI solutions.

According to TBR’s first Decarbonization Market Landscape, “Although some firms have been active over the last few decades around developing and acting on decarbonization strategies, many were induced — be it from competition, stakeholders or regulatory evolution — to improve, update, revisit or outright announce new net-zero targets, which in latest years have become somewhat of a comprehensive measure of a firm’s overall decarbonization efforts. … With a wider set of buyers relying heavily on technology to measure and manage emissions as well as advisory services to assess, plan and verify new initiatives, professional services vendors will continue to be key players in the enterprise decarbonization space. … Vendors must take care to continue to learn and stay up to date on reporting standards and regulatory change, supporting both internal and commercial efforts.”

Prediction No. 3: Blockchain winter ends and 5G & edge bloom in 2022, bringing new enhanced revenue streams to IT services vendors

Elitsa: While IT services vendors have increasingly announced investments in professional and managed services to enable adoption of blockchain, 5G and edge solutions, the trend is not mainstream across all 31 vendors in TBR’s IT Services Vendor Benchmark. However, select vendors have invested in expansion in the segments to benefit from diversified revenue streams.

As TBR expected, partnerships between IT services vendors and technology providers have been a key lever for increasing the value of vendors’ solutions and expanding their portfolio and client reach. For example, IBM partnered with Telus to deploy an edge computing platform across Canada, which expanded the reach of IBM Cloud Satellite by running the distributed cloud solution on Telus’ 5G network. Telus will leverage IBM Consulting services to implement AI and automation solutions, including products such as Cloud Pak for Network Automation. Atos partnered with Verizon to integrate Atos Computer Vision into Verizon’s multi-access edge computing network. This integration will bring video analytics services that utilize AI to customers and will provide Verizon with access to Atos’ BullSequana Edge servers to further advance 5G solutions.

During 2022 vendors have also leveraged acquisitions to expand their capabilities. For example, Atos acquired U.K.-based Ipsotek in 2021, adding software and IP to its solutions offerings to expand its edge AI/machine learning offerings and introduce video analytics solutions through Ipsotek’s VISuite. In 2022 IBM acquired U.S.-based Sentaca, a telecom consultancy and systems integrator, which strengthened IBM Consulting’s capabilities around helping communication service providers integrate with cloud-native services and architectures to better enable 5G for their customers.


Fri, 14 Oct 2022 04:26:00 -0500 en-US text/html
Killexams : IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions No result found, try new keyword!Any vertical modernization approach should balance in-depth, vertical sector expertise with a solutions-based methodology that caters to specific business needs. As part of their partnership, IBM ... Wed, 12 Oct 2022 14:17:00 -0500 en-US text/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 Strengthen 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 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 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 Killexams : IBM Improves Data Resilience Across the Data Center with SAP Integration

IBM announced it’s extending the data-resilience capabilities of existing IBM data protection products and introducing new workload-specific solutions for SAP HANA and Salesforce.

The IBM Safeguarded Copy capability, which currently enables IBM FlashSystem and IBM DS8000 clients to create cyber-resilient immutable snapshots, is now available to clients running IBM’s Spectrum Scale high-performance global data platform, bringing logical air-gapping to unstructured data sets. This solution provides organizations with a consistent approach to safeguarding data, regardless of where it’s located or how it scales up or out, according to IBM.

Complementing the comprehensive capabilities that IBM Spectrum Protect and IBM Spectrum Protect Plus bring to on-premises and cloud-based applications respectively, today IBM is enhancing workload-specific data resilience with the announcement of IBM Sentinel for SAP HANA and IBM Spectrum Protect Plus Online Services for Salesforce.

IBM Spectrum Sentinel for SAP HANA is an end-to-end automated cyber-resilience solution that performs ransomware anomaly analysis of immutable SAP HANA primary storage snapshots and provides automated recovery orchestration functions.

Using the same technology as IBM Spectrum Sentinel for Epic, IBM Spectrum Sentinel for SAP HANA is designed to enhance protection for this popular in-memory enterprise database management system.

IBM Spectrum Sentinel for SAP HANA uses IBM Spectrum Copy Data Management to create immutable, application-aware Safeguarded Copy backups that it scans for malware, using machine learning to detect signs of possible corruption and generate forensic reports.

IBM Spectrum Sentinel can intelligently isolate infected backups, helping your organization to identify the most latest Tested and validated backup copies and accelerate time to recovery, according to the company.

IBM Spectrum Protect Plus Online Services delivers a data backup and recovery solution that enables clients to easily backup and restore cloud-based SaaS workloads.

Other parts of the IBM Storage portfolio have also been enhanced, including:

  • IBM FlashSystem storage arrays now feature policy-based replication capability and encryption on the wire for FlashSystem replication.
  • IBM Spectrum Protect and IBM Spectrum Protect Plus have new data security enhancements.
  • IBM Spectrum Virtualize for Public Cloud on Azure 8 adds functionality for currency with IBM Spectrum Virtualize on FlashSystem and with IBM Spectrum Virtualize appliances, including support for the new policy-based asynchronous replication capability.

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Mon, 03 Oct 2022 01:02:00 -0500 en text/html
Killexams : IBM Watson Services Market Projections and Regional Outlook, Sales Revenue Focus on Specific Product and Dynamics by 2030

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

Oct 10, 2022 (Alliance News via COMTEX) -- Quadintel's latest global IBM Watson Services market research report gives detailed facts with consideration to market size, cost revenue, trends, growth, capacity, and forecast till 2030. In addition, it includes an in-depth analysis of This market, including key factors impacting the market growth.

The global IBM Watson Services market is anticipated to grow at a CAGR of around 32.5% over the period of next 5 years.

This study offers information for creating plans to increase the market’s growth and effectiveness and is a comprehensive quantitative survey of the market.

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A component of IBM Corporation, The IBM Watson is a cognitive computing platform which aids in efficiency and agility of businesses by incorporating AI and other related technologies with advanced hypothesis generation and analytical algorithms.

It integrates various cognitive techniques for facilitating construction of software by crafting dialogues and defining intents for simulating conversion. These services are employed for processing insights, relationships and patterns across un-structured images, social media, emails and others.

The Watson introduced to shape businesses more intelligent; is delivered as a Software-as-a-Service on cloud and can be called by its clients using a small code snippet embedded in their system.


The growth of this market is attributed towards major relying factors including the proliferating usage ofIBM Watson servicesin healthcare & analytics across various regions, the growing demand for cognitive insight & digital technology globally and the rising number of technological advancements in healthcare as well as medical devices substantially etc.

Additionally, the advent of technologies such as machine learning, artificial intelligence, cognitive computing, natural language processing (NLP), data mining, and advanced text analytics have changed the whole working scenario of the healthcare industry. From quicker decision making, assisting in disease diagnosis, optimizing patient selection for clinical trials with intelligence matching, screening of patients? structured & unstructured data, fast marketing of new drug, the technological platforms of IBM Watson have been effectively aiding in the operations of healthcare sector over the past few years, which is thereby opening enormous growth opportunities for the market players existing in the market and eventually assisting in the growth of the overall market considerably.

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However, few factors pertaining to IBM Watson Services such as the lack of trained professionals, the unstructured and fragmented data structuring technology, the imperfections in AI methodologies, their inability of making connections with different corpora, language issues, concerns relating to maintenance, the high switching cost and time-intensiveness involved in installation and training of the process are major barriers which hamper the growth of this market.

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By Services:

Watson Studio
Watson Knowledge Catalog
Watson AI Assistant
Watson Discovery
Watson IoT Platform
Watson Speech to Text (STT)
Watson Text to Speech (TTS)
Watson Language Services
Watson Visual Recognition
Watson Tone Analyzer
Watson Personality Insights
Watson Data Refinery
Watson Machine Learning
Watson Deep Learning
Watson Compare and Comply
Other Services
By End User Industry:

Discrete & Process Manufacturing
Media & Entertainment
Transportation & Logistics
Travel & Tourism
By Region:

North America
Asia Pacific
Latin America
Middle East & Africa

The North America region followed by the European region holds the largest share in the IBM Watson Services market. The region is also expected to bolster tremendous growth in the upcoming years owing to factors such as the introduction of the Watson development platform in region by IBM for various purposes, the acquisition of a leading digital marketing & creative agency based in the U.S., Resource/Ammirati by IBM with a goal to create transformative brand experiences, the surging application of IBM Watson APIs for providing interactive mobile experiences to consumers in the region and the successful development of the production capacities of industries by these services in the region etc. The major contributors to the region include U.S and Canada.

The Asia Pacific region is the fastest growing regional market for IBM Watson Services in the world and is projected to also grow robustly in the upcoming years as well. The growth in the region can be attributed to factors such as the growing adoption of technologies such as blockchain, cognitive computing and others in various industries for assisting in commercialization and rapid prototyping of the client?s solutions in the region and the expansion of IBM?s headquarters in the major economies of this region etc. Japan, South Korea, India and China are the major contributors to this region?s growth.

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KPMG International Limited
Capgemini SE
Tata Consultancy Services Limited
Wipro Limited
IBM Corporation
Datamato Technologies Private Ltd.
Mainline Information Systems Inc.
DXC Technology Limited Accenture Plc
Deloitte Touche Tohmatsu Ltd.
Tech Mahindra limited
Infosys Limited
HCL Limited
Other Players

In February 2021, Humana Inc. and IBM Watson Health announced a collaboration leveraging IBM?s conversational artificial intelligence (AI) solution to help provide a better member experience while providing greater clarity and transparency on benefits and other related matters for Humana Employer Group members. As part of the agreement, Humana will deploy IBM Watson Assistant for Health Benefits, an AI-enabled virtual assistant built in the IBM Watson Health cloud.

In February 2021, IBM and Palantir Technologies announced a new partnership consisting of IBM?s hybrid cloud data platform designed to deliver AI for business, with Palantir?s next generation operations platform for building applications. The product is expected to simplify how businesses build and deploy AI-infused applications with IBM Watson and help users access, analyze, and take action on the vast amounts of data that is scattered across hybrid cloud environments without the need for deep technical skills. The new product, Palantir for IBM Cloud Pak for Data, is planned to be mace available in March of 2021.

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Sun, 09 Oct 2022 21:43:00 -0500 en-US text/html
Killexams : Arctoris welcomes on board globally recognized experts in Machine Learning, Chemical Computation, and Alzheimer’s Disease

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:

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 Strengthen 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.


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.

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