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Killexams : IBM Intelligent approach - BingNews Search results Killexams : IBM Intelligent approach - BingNews 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 : Universities Make North Carolina A Hub for Quantum Computing (TNS) — In the 1950s, computers were bulky, inefficient and limited. They ate up entire rooms but couldn’t go beyond rudimentary calculations.

As you know, these machines didn’t stay simple; the mid-20th century computer modernized, compacted, and went on to change the world. This is the path many believe quantum computers are now on: elementary today — transformative tomorr... well, we’ll see.

The promise of computers based on subatomic physics is tantalizing. In theory, problems that would take classical computers years to solve could be handled by quantum computers in minutes, bursting open advancements in finance, chemistry, artificial intelligence, logistics, cybersecurity and more.

With exponentially enhanced calculating power, scientists may have the tools to discover new medicines. Financial firms could better optimize portfolios. Companies would route supply chains more efficiently, and meteorologists would grow more accurate. Hackers might use quantum’s power to bypass passwords but companies and nations could counter by deploying quantum computing to strengthen their cyber defenses.

The possibilities of what quantum could accomplish are vast and hard to pinpoint. Researchers don’t know when a real-world quantum breakthrough will occur, but many do say “when,” not “if.”

“Quantum is progressing faster than many people are anticipating,” said Eric Ghysels, a finance and economics professor at Univerity of North Carolina-Chapel Hill. “This thing is coming, and you better be prepared.”

Governments, businesses and universities worldwide are spending heavily to prepare for quantum. And in the past few years, the three corners of North Carolina's Research Triangle — Duke University, North Carolina State University, and UNC — have each made distinct contributions to this emerging field, turning the state into a legitimate quantum hot spot.


In 2018, IBM picked N.C. State’s Centennial Campus as the site of its first IBM Quantum Hub in North America.

Two years later, Duke partnered with the Maryland-based company IonQ to open the Duke Quantum Center inside downtown Durham’s Chesterfield building. Under their arrangement, IonQ has exclusive rights to the intellectual property the lab produces while Duke has received equity in the public company.

IBM and IonQ — and by extension N.C. State and Duke — are racing toward a common goal: to achieve what’s known as “quantum advantage,” the still-elusive moment when a quantum computer can perform a real-world task better than a classical computer. (The term “quantum supremacy” refers to a moment when a quantum computer achieves something a classical computer could never accomplish.)

But chasing quantum advantages is where similarities between the two facilities end, said Chris Monroe, cofounder of IonQ and the director of the Duke Quantum Center. “IBM’s approach and our approach couldn’t be more different,” he said.

To understand their differences, it helps to understand some of quantum’s underlying science.

Quantum computers reflect the physics of the subatomic world to manage information. While classical computers run on bits represented by digital 1s and 0s, quantum computers use quantum bits, called qubits, to display microscopic states in a much more complex manner.

A pair of quantum mechanical phenomena make these machines exponentially more advanced. The first is called superposition — the capacity of a qubit to be in multiple positions at once until it’s measured. The second is entanglement, which is how different qubits are interwoven.

All this can be quite confusing to the layman, and even to other scientists, quantum researchers acknowledge.

“The laws of microscopic physics look very, very different from what you and I experience on a normal day,” said Patrick Dreher, the chief scientist at N.C. State’s IBM Quantum Hub.

Instead of single answers, quantum computers spit out probability distributions. For example, they wouldn’t say 2 + 3 = 5 but would answer with a range of probabilities peaking around 5. This is one of the reasons researchers say quantum computers will augment, but never fully replace, digital Macs or PCs. Quantum machines could handle massive calculations, but quotidian tasks like Microsoft Word, basic mathematics and streaming videos may always be best served by classical computers.

So, what’s keeping quantum computers from reaching their potential? There are several hurdles.

As one might expect, the subatomic realm is difficult to control. Atoms naturally bounce around, which can cause contamination that leads to “noisy” results. The microscopic interactions computers must capture occur incredibly quickly, requiring extreme precision, and when errors arise, attempts to correct one qubit can easily interfere with other qubits.

“It’s a fragile machine,” Dreher said. “And because they are noisy, they have a limited ability to keep doing computations forever.”

Despite their limitations, quantum computers have evolved from theory to tangible, functioning machines. Researchers have named this current stage the Noisy Intermediate-Scale Quantum, or NISQ, era. There are several intermediate-scale, noisy computers running today, with Dreher saying no one knows which will be “the home run.”


Of all the quantum computers in the world, IBM’s are likely the most ornate. Nicknamed “chandeliers,” they feature gold-plated, five-level apparatuses with an orderly progression of tubes and wires running down to single silicon processor chips. At the bottom rung, each chandelier cools a superconducting chip.

And by cool, IBM means really, really frigid.

Quantum researchers attempt to control subatomic activity by creating extreme environments, and the chandelier does this with temperature. At its lowest level, the temperate is .01 degrees Kelvin, making it one of the coldest places in the universe.

IBM operates more than 20 quantum computers around the world, from upstate New York to Japan, and they offer members of their quantum network — like N.C. State — exclusive access to advanced computers which are kept inside a metal silo and behind a glass cube like a museum art piece. As a member of the IBM Quantum Network, N.C. State scientists can run remote experiments on these computers through the cloud.

Duke students, on the other hand, have access to a quantum computer they can touch. The Duke Quantum Center studies a type of computer called ion-trap, which levitates individual atoms above a gold-plated silicon chip in an airless vacuum. Lasers are then shot at the atom to modify the state of the qubits inside the atom and affect how they interact. Chris Monroe compared the process to plucking a guitar string.

The handful of ion-trap computers at Chesterfield are aesthetically less impressive than IBM’s chandelier. They stretch out like a crowded city — vacuum chambers, camera lenses, modulators and lasers intricately huddled together. Monroe touts these machines as the most advanced ion-traps in the world and believes once the engineering obstacles are overcome (in short, it’s very difficult to precisely strike atoms with lasers), IonQ computers can be widely available.

“We envision a future where quantum computers are in people’s pockets,” he said.


While N.C. State and Duke focus on quantum research, UNC is a national leader on quantum technologies in finance.

In May 2020, the school started one of the country’s first webinar series on applying quantum to business. To meet the growing demand for quantum, the UNC Kenan-Flagler Business School has adjusted its curriculum to include more about quantum. “The stakes are high,” said Eric Ghysels. “A lot of financial institutions realize they better get started now, even if the science is a few years away.”

The financial industry is well positioned for early quantum applications. First, it’s an analytic-based industry where precise timing and price modeling can mean billions. Many foresee quantum optimizing portfolios and delivering unprecedented account security. Second, with so much money on the line, deep-pocketed companies are making significant investments in the field.

In March, Fidelity entered a partnership with N.C. State’s hub, and IBM itself is interested in the research its hub produces for finance purposes. “In terms of fintech, the Triangle is becoming a considerable force,” Ghysels said. “Companies want to hire here and settle here.”

The Triangle lacks the concentration of quantum companies seen in cities like San Francisco, Boston and New York, but there are signs the commercial side of quantum is burgeoning locally as larger companies like Apple and Google enter the market.

The California quantum computing manufacturer Atom Computing recently based its executive office in Cary, and startups like Dark Star Quantum Lab in Apex seek to find a niche in quantum consulting.

“It makes sense this would be a good place for quantum in terms of applications,” said Dark Star CEO Faisal Shah Khan.

Khan noted the Triangle’s relative proximity to the financial capital of New York City (same time zone, quick flight away) makes it an even more attractive place for quantum and fintech.


So when will quantum computers be ready?

“If I knew that, I wouldn’t be here as a professor,” Patrick Dreher said. “I’d be on Wall Street, or I’d be talking to (venture capitalists). You’re asking me in 1949, ‘When are we going to build a digital computer that won’t have vacuum tubes and need a whole room to make it work?’ This is why people win Nobel Prizes.”

In 2019, Google announced it had achieved quantum superiority on a contrived mathematical problem, meaning one that doesn’t relate to a real-world situation. IBM pushed back on Google’s claim, and the quantum superiority debate lingers.

Quantum technology remains in a “pre-competitive stage,” said Dennis Kekas, an associate vice chancellor at N.C. State’s Centennial Campus. By this, Kekas meant companies generally still share their findings in service of scientific advancement. In academia, UNC, Duke and N.C. State host a weekly Triangle Quantum Computing Seminar Series throughout the school year, inviting experts from around the globe.

At Chesterfield, Duke PhD students are on the front lines of quantum research. Their current lab work focuses on getting ion-trap computers to communicate with each other, sharing information between machines like classical computers can do now. In exact years, they have seen colleagues go on to jobs as quantum business consultants, continue in academia, join IonQ, or get brought into national labs like Los Alamos.

Asked about the future of quantum, the students’ perspectives were a reminder that no one knows for sure — not them, not their teachers, not the companies that might hire them — if the quantum dream will ever be realized. They spoke of keeping the long view in mind and noted quantum advantage isn’t likely to be right around the corner.

Jameson O’Reilly, a fourth-year PhD student at the lab, said he believes quantum advantage will eventually be achieved, but if it isn’t, he said it still will have been worth the effort.

“I think that if it doesn’t happen, it will fail in some interesting way,” he said. “In a way that gives us more understanding of the universe.”

©2022 The News & Observer. Distributed at Tribune Content Agency, LLC.

Thu, 06 Oct 2022 05:41:00 -0500 en text/html
Killexams : IBM Bids Farewell to Watson Health Assets

IBM shook up the digital health space Friday with the news that it is selling its healthcare data and analytics assets, currently part of the Watson Health business, to an investment firm. The sale price is reportedly more than $1 billion, although the companies are not officially disclosing the financial terms.

There are a lot of interesting factors to consider as we unpack this news, although some thought leaders say the divestiture did not come as a surprise.

“The Watson Health sale has been anticipated for quite some time. IBM was clearly not gaining much traction in the healthcare market while others such as Google and Microsoft have pulled ahead. Even Oracle has made a big splash in healthcare with its exact announcement to acquire Cerner," said Paddy Padmanabhan, founder and CEO of Damo Consulting, a growth strategy and digital transformation advisory firm that works with healthcare and technology companies.

IBM was one of the first big tech companies to dive into healthcare with its well-known Watson Health supercomputer known for defeating the greatest champions on “Jeopardy!" The platform created a lot of buzz back in 2011, and many people had high hopes for the platform's potential applications in healthcare. In exact years, however, that buzz has significantly died down.

"In the current competitive landscape, IBM would not be considered a significant player in healthcare. Selling off the data assets essentially means an end to the Watson Health experiment; however, it may allow IBM as an organization to refocus and develop a new approach to healthcare,” Padmanabhan said.

Assuming there are no regulatory snags, the deal is expected to close in the second quarter of this year.

“Today’s agreement with Francisco Partners is a clear next step as IBM becomes even more focused on our platform-based hybrid cloud and AI strategy,” said Tom Rosamilia, senior vice president of IBM Software. “IBM remains committed to Watson, our broader AI business, and to the clients and partners we support in healthcare IT. Through this transaction, Francisco Partners acquires data and analytics assets that will benefit from the enhanced investment and expertise of a healthcare industry focused portfolio.”

The agreement calls for the current management team to continue in similar roles in the new standalone company, serving existing clients in life sciences, provider, imaging, payer and employer, and government health and human services sectors.

“We have followed IBM’s journey in healthcare data and analytics for a number of years and have a deep appreciation for its portfolio of innovative healthcare products,” said Ezra Perlman, co-president at Francisco Partners. “IBM built a market-leading team and provides its customers with mission critical products and outstanding service.”

In 2016 IBM doubled the size of its Watson Health business through the $2.6 billion acquisition of Truven Health Analytics. Truven offers healthcare data services targeted at employers, hospitals, and drug companies, and makes software that can parse through millions of patient records. Truven's main offices are in Ann Arbor, MI, Chicago, and Denver. At the time of the acquisition, Truven had around 2,500 employees.

The Truven deal followed other major healthcare acquisitions in the company, including Cleveland-based Explorys, Dallas-based Phytel, and Chicago-based Merge Healthcare. The company paid about $1 billion for Merge.

IBM said the assets acquired by Francisco Partners include extensive and diverse data sets and products, including Health Insights, MarketScan, Clinical Development, Social Program Management, Micromedex, and imaging software offerings.

Padmanabhan said it will be interesting to see how the new owners are able to leverage those data assets.

“IBM’s decision to sell its data assets is an indication that it’s not just enough to have the data. Applying advanced analytics on the data to generate insights that can make a difference in real-world applications is where the true value lies. IBM had several missteps early on, especially in cancer care applications, that created significant setbacks for the business that they could not recover from.

In 2018, the Watson Health business went through a round of layoffs. The company declined to tell MD+DI at the time how many of employees were let go other than to say it was a "small percentage" of the global business, but online commenters on and Watching IBM, along with multiple news reports citing unnamed sources from within the organization painted a different picture of the situation. One Dallas-based commenter on said that "we all knew it was coming but nobody expected it to be this fast and rampant," while another commenter estimated that 80% of that same Dallas-based office was let go.

Is healthcare just too hard for big tech?

While we have seen a trend in exact years with big tech firms showing an interest in healthcare, some of those companies are finding those efforts to be easier said than done. 
“IBM’s decision to sell the Watson Health assets is another instance of a big tech firm acknowledging the challenges of the healthcare space. Last year, Google and Apple had significant setbacks, and Amazon has acknowledged challenges in scaling its Amazon Care business," Padmanabhan said. "In IBM’s case, they have missed out on the cloud opportunity and have lagged behind peers in emerging technology areas such as voice. While IBM’s challenges with Watson Health may have been unique to the organization, the fact is that big tech firms have multiple irons in the fire at any time, and for some healthcare may just be too hard.”

Padmanabhan does not think, however, that IBM's decision to sell the Watson Health assets is an indictment of the promise of AI in healthcare.

"Our research indicates AI was one of the top technology investments for health systems in 2021," he said. "Sure, there are challenges such as data quality and bias in the application of AI in the healthcare context, but by and large there has been progress with AI in healthcare. The emergence of other players, notably Google with its Mayo Partnership, or Microsoft with its partnership with healthcare industry consortium Truveta are strong indicators of progress."
Padmanabhan is co-author with Edward W. Marx, of Healthcare Digital Transformation: How Consumerism, Technology and Pandemic are Accelerating the Future (2020), and the host of The Big Unlock, a podcast focusing on healthcare digital transformation.

Wed, 12 Oct 2022 12:00:00 -0500 en text/html
Killexams : Researchers Outline AI-Related Clinical Competencies for Health Professionals No result found, try new keyword!Researchers at Vanderbilt University Medical Center and IBM Watson Health have defined guidelines for how health professionals might best prepare themselves to evaluate and work with artificial intell ... Mon, 17 Oct 2022 01:30:00 -0500 en-US text/html Killexams : MIT’s New Optimizer for Improving Any Autonomous Robotic System
Autonomous Robots Logistics Industry

MIT engineers have developed a general design tool for roboticists to use as a sort of automated recipe for success. Their optimization code can be applied to simulations of virtually any autonomous robotic system and can be used to automatically identify how and where to tweak a system to Improve a robot’s performance.

A new general-purpose optimizer can speed up the design of autonomous systems including walking robots and self-driving vehicles.

Since the fastidious Roomba vacuum, autonomous robots have come a long way. In exact years, artificially intelligent systems have been deployed in self-driving cars, warehouse packing, patient screening, last-mile food delivery, hospital cleaning, restaurant service, meal prep, and building security.

Each of these robotic systems is a product of an ad hoc design process specific to that particular system. This means that in designing an autonomous robot, engineers must run countless trial-and-error simulations, often informed by intuition. These simulations are tailored to a particular robot’s components and tasks, in order to tune and optimize its performance. Designing an autonomous robot today is, in some respects, a lot like baking a cake from scratch, with no recipe or prepared mix to ensure a successful outcome.

Improving Autonomous Robotic Systems

A new general-purpose optimization tool can Improve the performance of many autonomous robotic systems. Shown here is a hardware demonstration in which the tool automatically optimizes the performance of two robots working together to move a heavy box. Credit: Courtesy of the researchers

Now, engineers at MIT have developed a general design tool for roboticists to use as a sort of automated recipe for success. Optimization code has been devised by the team that can be applied to simulations of virtually any autonomous robotic system and can be used to automatically identify how and where to tweak a system to Improve a robot’s performance.

The engineers showed that the tool was able to quickly Improve the performance of two very different autonomous systems: one in which a robot navigated a path between two obstacles, and another in which a pair of robots worked together to move a heavy box.

The group hopes the new general-purpose optimizer can help to speed up the development of a wide range of autonomous systems, from walking robots and self-driving vehicles, to soft and dexterous robots, and teams of collaborative robots.

The researchers, composed of Charles Dawson, an MIT graduate student, and ChuChu Fan, assistant professor in MIT’s Department of Aeronautics and Astronautics, presented their findings at the annual Robotics: Science and Systems conference in New York.

Inverted design

Dawson and Fan realized the need for a general optimization tool after observing a wealth of automated design tools available for other engineering disciplines.

“If a mechanical engineer wanted to design a wind turbine, they could use a 3D CAD tool to design the structure, then use a finite-element analysis tool to check whether it will resist certain loads,” Dawson says. “However, there is a lack of these computer-aided design tools for autonomous systems.”

Normally, a roboticist optimizes an autonomous system by first developing a simulation of the system and its many interacting subsystems, such as its planning, control, perception, and hardware components. She then must tune certain parameters of each component and run the simulation forward to see how the system would perform in that scenario.

Only after running many scenarios through trial and error can a roboticist then identify the optimal combination of ingredients to yield the desired performance. It’s a tedious, overly tailored, and time-consuming process that Dawson and Fan sought to turn on its head.

“Instead of saying, ‘Given a design, what’s the performance?’ we wanted to invert this to say, ‘Given the performance we want to see, what is the design that gets us there?’” Dawson explains.

The researchers developed an optimization framework, or a computer code, that can automatically find tweaks that can be made to an existing autonomous system to achieve a desired outcome.

The heart of the code is based on automatic differentiation, or “autodiff,” a programming tool that was developed within the machine learning community and was used initially to train neural networks. Autodiff is a technique that can quickly and efficiently “evaluate the derivative,” or the sensitivity to change of any parameter in a computer program. Dawson and Fan built on exact advances in autodiff programming to develop a general-purpose optimization tool for autonomous robotic systems.

“Our method automatically tells us how to take small steps from an initial design toward a design that achieves our goals,” Dawson says. “We use autodiff to essentially dig into the code that defines a simulator, and figure out how to do this inversion automatically.”

Building better robots

The team tested their new tool on two separate autonomous robotic systems, and showed that the tool quickly improved each system’s performance in laboratory experiments, compared with conventional optimization methods.

The first system comprised a wheeled robot tasked with planning a path between two obstacles, based on signals that it received from two beacons placed at separate locations. The team sought to find the optimal placement of the beacons that would yield a clear path between the obstacles.

They found the new optimizer quickly worked back through the robot’s simulation and identified the best placement of the beacons within five minutes, compared to 15 minutes for conventional methods.

The second system was more complex, comprising two-wheeled robots working together to push a box toward a target position. A simulation of this system included many more subsystems and parameters. Nevertheless, the team’s tool efficiently identified the steps needed for the robots to accomplish their goal, in an optimization process that was 20 times faster than conventional approaches.

“If your system has more parameters to optimize, our tool can do even better and can save exponentially more time,” Fan says. “It’s basically a combinatorial choice: As the number of parameters increases, so do the choices, and our approach can reduce that in one shot.”

The team has made the general optimizer available to download, and plans to further refine the code to apply to more complex systems, such as robots that are designed to interact with and work alongside humans.

“Our goal is to empower people to build better robots,” Dawson says. “We are providing a new building block for optimizing their system, so they don’t have to start from scratch.”

Reference: “Certifiable Robot Design Optimization using Differentiable Programming” by Charles B Dawson and Chuchu Fan, June 2022, Robotics: Science and Systems 2022.

This research was supported, in part, by the Defense Science and Technology Agency in Singapore and by the MIT-IBM Watson AI Lab.

Sat, 15 Oct 2022 18:46:00 -0500 Jennifer Chu, Massachusetts Institute of Technology en-us text/html
Killexams : IBM’s former CEO downplays the importance of a college degree for six-figure earning ‘new collar’ jobs that now make up half of its workers

A four-year bachelor’s degree has long been the first rung to climbing America’s corporate ladder.

But the move to prioritize skills over a college education is sweeping through some of America’s largest companies, including Google, EY, Microsoft, and Apple. Strong proponents say the shift helps circumvent a needless barrier to workplace diversity.

“I really do believe an inclusive diverse workforce is better for your company, it’s good for the business,” Ginni Rometty, former IBM CEO, told Fortune Media CEO Alan Murray during a panel last month for Connect, Fortune’s executive education community. “That’s not just altruistic.”

Under Rometty’s leadership in 2016, tech giant IBM coined the term “new collar jobs” in reference to roles that require a specific set of skills rather than a four-year degree. It’s a personal commitment for Rometty, one that hits close to home for the 40-year IBM veteran.

When Rometty was 16, her father left the family, leaving her mother, who’d never worked outside the home, suddenly in the position to provide.

“She had four children and nothing past high school, and she had to get a job to…get us out of this downward spiral,” Rometty recalled to Murray. “What I saw in that was that my mother had aptitude; she wasn’t dumb, she just didn’t have access, and that forever stayed in my mind.”

When Rometty became CEO in 2012 following the Great Recession, the U.S. unemployment rate hovered around 8%. Despite the influx of applicants, she struggled to find employees who were trained in the particular cybersecurity area she was looking for.

“I realized I couldn’t hire them, so I had to start building them,” she said.

In 2011, IBM launched a corporate social responsibility effort called the Pathways in Technology Early College High School (P-TECH) in Brooklyn. It’s since expanded to 11 states in the U.S. and 28 countries.

Through P-TECH, Rometty visited “a very poor high school in a bad neighborhood” that received the company’s support, as well as a community college where IBM was offering help with a technology-based curriculum and internships.

“Voilà! These kids could do the work. I didn’t have [applicants with] college degrees, so I learned that propensity to learn is way more important than just having a degree,” Rometty said.

Realizing the students were fully capable of the tasks that IBM needed moved Rometty to return to the drawing board when it came to IBM’s own application process and whom it was reaching. She said that at the time, 95% of job openings at IBM required a four-year degree. As of January 2021, less than half do, and the company is continuously reevaluating its roles.

For the jobs that now no longer require degrees and instead rely on skills and willingness to learn, IBM had always hired Ph.D. holders from the very best Ivy League schools, Rometty told Murray. But data shows that the degree-less hires for the same jobs performed just as well. “They were more loyal, higher retention, and many went on to get college degrees,” she said.

Rometty has since become cochair of OneTen, a civic organization committed to hiring, promoting, and advancing 1 million Black individuals without four-year degrees within the next 10 years.

If college degrees no longer become compulsory for white-collar jobs, many other qualifications—skills that couldn’t be easily taught in a boot camp, apprenticeship program, or in the first month on the job—could die off, too, University of Virginia Darden School of Business professor Sean Martin told Fortune last year.

“The companies themselves miss out on people that research suggests…might be less entitled, more culturally savvy, more desirous of being there,” Martin said. Rather than pedigree, he added, hiring managers should look for motivation.

That’s certainly the case at IBM. Once the company widened its scope, Rometty said, the propensity to learn quickly became more of an important hiring factor than just a degree.

This story was originally featured on

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Sun, 16 Oct 2022 06:27:00 -0500 en-US text/html
Killexams : Beyond Encryption: A Layered Approach to Cyberthreat Defense No result found, try new keyword!By taking a layered approach that combines critical software ... Amplifying its value further, Broadcom’s security portfolio is IBM RACF compatible and therefore supports all ESMs in the market. Sat, 15 Oct 2022 06:28:00 -0500 en text/html Killexams : Hispanic Heritage Foundation Announces Collaboration with IBM to Upskill Latinos Through IBM SkillsBuild and Meet America's Workforce Needs

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


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 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

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: #HispanicHeritageMonth

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


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Fri, 14 Oct 2022 01:00:00 -0500 en-US text/html
Killexams : Artificial Intelligence In Military Market Latest Trends, Industry Size and Future Prospects 2028| Lockheed Martin, Raytheon, Northrop Grumman, IBM

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

Oct 13, 2022 (Heraldkeepers) -- The Artificial Intelligence In Military Market research report encompasses a thorough study of the current situation of the global market along with several market dynamics. To formulate this report, detailed analysis has been performed with inputs from industry experts. Depending on the client's demand, a huge amount of business and market-related information has been brought together via this report that eventually helps businesses create better strategies. All of these features are strictly applied while building this Global Artificial Intelligence In Military Market research report for a client. It gives an explanation about various definitions and segmentation or classifications of the industry, application of the industry, and value chain structure.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived it by segment aggregation, the contribution of the materials and vendor share.

Click Here to obtain and Understand Latest Key Trends on Global Artificial Intelligence In Military Market:

Companies involved in the Global Artificial Intelligence In Military Market research report are:

Lockheed Martin, Raytheon, Northrop Grumman, IBM, Thales Group, General Dynamics, NVIDIA, BAE Systems, Leidos, SAIC, SparkCognition, Charles River Analytics, L3 Harris

Artificial Intelligence In Military Market, By Segmentation:

Artificial Intelligence In Military Market segment by Type:
Learning and Intelligence
Advanced Computing
AI Systems

Artificial Intelligence In Military Market segment by Application:
Information Processing
Cyber Security

Geographic Segment Covered in the Report:
The Global Artificial Intelligence In Military Market growth report offer insights and statistics about the market area which is further also divided into sub-regions and countries. For the purpose of this study, the report has been segmented into following regions and countries:-

1. North America (USA and Canada)
2. Europe (UK, Germany, France and the rest of Europe)
3. Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)
4. Latin America (Brazil, Mexico, and the rest of Latin America)
5. Middle East and Africa (GCC and rest of the Middle East and Africa)

The Global Artificial Intelligence In Military Market size report provides answers to the following key questions:

1. Which are Trending factors influencing the market shares of the top regions across the globe? What is the impact of Covid19 on the current industry? What is economic impact on market?
2. When is the recovery expected from the pandemic?
3. Which segments offer high-growth opportunities in the long run?
4. What are the key outcomes of the five forces analysis of the global market?
5. What are sales, revenue, and price analysis by regions of this market?

Highlights of the Global Artificial Intelligence In Military Market Report:
Market Development: Comprehensive information about emerging industry. This report analyses for various segments across geographies.
Development/Innovation: Detailed insights on the upcoming technologies, RandD activities, and product launches in the market.
Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the industry.
Market Diversification: Exhaustive information about new launching, untapped geographies, exact developments, and investments in the market.

If you have any query, Ask our analyst for more information: –

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Amit J
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The post Artificial Intelligence In Military Market Latest Trends, Industry Size and Future Prospects 2028| Lockheed Martin, Raytheon, Northrop Grumman, IBM appeared first on Herald Keeper.


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Thu, 13 Oct 2022 00:41:00 -0500 en-US text/html
Killexams : Statistics Centre Abu Dhabi taps IBM Turbonomic to accelerate their digital footprint in the region

More than 3000 automated actions executed, saving over 500 hours of manual work.

Cairo, Egypt: Statistics Centre - Abu Dhabi (SCAD) and IBM discussed boosting cooperation to fuel SCAD’s growth, accelerate digital footprint and drive sustainable development across various operations. The collaboration enables SCAD to leverage IBM® Turbonomic® Application Resource Management (ARM) to automate processes, optimize digital infrastructure performance and minimize costs.

SCAD is responsible for building an information network and a unified channel that serves the statistical ecosystem in Abu Dhabi by organizing, unifying, and managing all aspects of the Emirate's statistical data. SCAD develops a leading statistical ecosystem to empower decision makers and users in the government, private sector, and society.

SCAD selected IBM Turbonomic to scale intelligent automation capabilities to run across any hybrid cloud environment. Over the duration of three months, IBM Turbonomic executed over 3,000 automated actions, including continuous placement for virtual machines, containers, and scaling infrastructure resource saving SCAD more than 500 hours of manual work with a projected expectation to save 2,000 hours over 2023.

The partnership between SCAD and IBM is aligned with efforts to reach a balance between carbon neutrality and application performance. Through leveraging IBM Turbonomic, SCAD will be able to minimize energy consumption and reduce carbon footprint by 17 tonnes.

Aziz Hmoud Saif Alkayyoomi, Acting Director of Information Technology at SCAD, said: “We are focused on leveraging the latest emerging technologies that provide reliable and high-quality statistics, analysis and research that support sustainable development processes and Improve user experience across Abu Dhabi. Our collaboration with IBM is an important step to create a leading statistical ecosystem that empowers decision-makers in both the public and private sectors.”

Wael Abdoush, General Manager, IBM Gulf, Levant, and Pakistan, said: “We are pleased to partner with SCAD to provide a one-stop shop of AI-powered automation capabilities, all built on Red Hat OpenShift to run anywhere. IBM designs, deploys, and manages energy efficient infrastructures and innovations with a hybrid cloud approach. Our collaboration with SCAD paves the way for SCAD to achieve sustainable development goals and deliver the most efficient use of computing, storage, and network resources,” he added.

About SCAD

The Statistics Centre – Abu Dhabi (SCAD) was established by Law No. (7) of 2008 to organize and develop statistical work in the Emirate of Abu Dhabi. The SCAD’s role has been reregulated in 2021 and started to report to the Abu Dhabi Executive Office. It adopted a decentralized methodology in statistical work, in order to support decision-makers and entrepreneurs to devise strategic plans and policies and advance Abu Dhabi’s comprehensive and sustainable development.

SCAD has an independent legal personality and full financial independence, as well as full legal capacity to work in line with the Emirate's directions towards achieving sustainable economic and social development goals and the Abu Dhabi Economic Vision 2030, under the supervision of the Abu Dhabi Executive Council.

Based on the law amendment, SCAD is now responsible for building a unified system for Abu Dhabi’s statistical information and unifying and managing all aspects of statistical work in the Emirate. This includes development and regulation of statistical frames for all activities and sectors and updating them periodically, as well as providing technical supervision of statistical work and data systems at government entities. That, in addition to collecting, classifying, storing, analyzing, processing, archiving, publishing, and protecting Abu Dhabi's statistical data obtained from various data sources.

SCAD is also responsible for making, developing, and disseminating estimates, projections, extrapolations, and forecasts. Additionally, the Centre is tasked with supporting government entities and transferring knowledge and expertise, thereby enabling them to provide reliable and accurate statistics. SCAD is also authorized to contract with any entity or company within or outside the Emirate to undertake data collection and other statistical activities.

About IBM

IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit

Thu, 13 Oct 2022 15:34:00 -0500 en text/html
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