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Global Machine Learning Market is Expected to Grow at a CAGR of 39.2 % by 2028 - Digital Journal
According to the latest research by SkyQuest Technology, the Global Machine Learning Market was valued at US$ 16.2 billion in 2021, and it is expected to reach a market size of US$ 164.05 billion by 2028, at a CAGR of 39.2 % over the forecast period 2022–2028. The research provides up-to-date Machine Learning Market analysis of the current market landscape, latest trends, drivers, and overall market environment. Software systems may forecast events more correctly with the use of machine learning (ML), a type of artificial intelligence (AI), without needing to be explicitly told to do so. Machine learning algorithms use historical data as input to anticipate new output values. As organizations adopt more advanced security frameworks, the global machine learning market is anticipated to grow as machine learning becomes a prominent trend in security analytics.
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- Information Technology > Security & Privacy (0.31)
- Health & Medicine > Therapeutic Area > Neurology > Alzheimer's Disease (0.31)
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- Banking & Finance > Trading (0.49)
AI for Healthcare Gets Practical as IBM sells Watson Health
At one time IBM Watson Health was featured in articles that claimed it might cure cancer. But the splashy coverage of IBM's artificial intelligence brand aimed at the healthcare industry was maybe an instance when the hype about a particular technology -- AI -- got ahead of that technology's actual capabilities. After a few high-profile public failures over the past several years, IBM has announced that it is selling the parts of its Watson Health business to private equity firm Francisco Partners -- a sale that many in the industry had expected for the past year. The assets sold include data sets and products from the many acquisitions IBM completed to roll into the Watson Health brand including Health Insights, MarketScan, Clinical Development, Social Program Management, Micromedex, and imaging software. Francisco Partners will employ key members of the Watson Health team and stand up its own business in the future, the companies said in the announcement of the deal.
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- Information Technology > Artificial Intelligence > Natural Language (0.70)
- Information Technology > Data Science > Data Mining > Big Data (0.41)
IBM sells off Watson AI healthcare unit - Verdict
IBM is to sell off the data assets of its AI-powered Watson Health operation to private equity firm Francisco Partners, in move which pretty much ends the story for the beleaguered healthcare unit. Announced on Friday, exact details of the deal were undisclosed, but media reports suggested a sale of more than $1bn. The sell-off marks an end to IBM's healthcare ambitions, as the Armonk, NY based giant concentrates on its hybrid cloud business. Where reports earlier in the month had suggested IBM was looking to sell off the entirety of the poorly performing unit, last week's deal is a sale of Watson Health's data and analytics assets. IBM had previously built out Watson Health through a series of acquisitions totalling more than $4bn.
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PayScale and Payfactors Join Forces to Create Compensation Technology and Data Powerhouse
Today PayScale, the industry leader in compensation data and technology, and Payfactors, a leading compensation data management company with deep industry expertise, announced that they have merged. Together, the combined company will become one of the largest providers of its kind in North America to help job seekers, employees and businesses get pay right. "Compensation and pay equity strategies are shifting even further on to the C-Suite agenda given the accelerated shift to remote and hybrid work and the overwhelming importance of the social justice movement," said Scott Torrey, CEO, PayScale. "Together, the PayScale leadership team's experience running SaaS businesses at scale combined with Payfactors' deep compensation expertise creates the optimal set of capabilities to offer faster paced innovation to get pay right today and in the future for even the largest of organizations." Both companies have built deep relationships with organizations and individuals by helping people navigate the increasingly complex compensation landscape.