If IBM is looking for a new application for its Watson machine learning tools, it might consider putting health care providers' procurement and systems integration woes ahead of curing cancer. The fall-out from that project has now prompted the resignation of the cancer center's president, Ronald DePinho, the Wall Street Journal reported Thursday. The university recently published an internal audit report into the procurement processes that led it to hand almost $40 million to IBM and over $21 million to PwC for work on the project, almost all of it without board approval. It noted that the scope of its review was limited to contracting and procurement practices and compliance issues, and did not cover project management and system development activities. The audit "should not be interpreted as an opinion on the scientific basis or functional capabilities of the system in its current state," because a separate review of those aspects of the project is being conducted by an external consultant, it said.
REDWOOD CITY, Calif., May 22, 2018 (GLOBE NEWSWIRE) -- Talend (NASDAQ: TLND), a leader in cloud data integration solutions, has been named to the 2018 CRN Big Data 100 list, a brand of The Channel Company. This annual list recognizes vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with one of the most dynamic, fastest growing segments of the IT industry - Big Data. As a result of Talend's inclusion in the CRN Big Data 100, Solutions Review selected Talend Open Studio for Data Integration and Talend Cloud among its list of "7 Data Integration Tools We Recommend". The data explosion in recent years has fueled a vibrant big data technology industry. Businesses need innovative products and services to capture, integrate, manage and analyze the massive volumes of data they are grappling with every day.
At this year's Strata Data Conference in New York City, Syncsort's Paige Roberts sat down with John Myers (@johnlmyers44) of Enterprise Management Associates to discuss what he sees in the evolving Big Data landscape. In this final blog in the three-part interview, we'll discuss the 80/20 rule of data science which points out that most data scientists spend 80% of their time getting data ready for analysis, rather than doing what they do best.
Content provided by IBM with Insider Studios. In the summer of 1956, 10 scientists and mathematicians gathered at New Hampshire's Dartmouth College to brainstorm a new concept Assistant Professor John McCarthy called "artificial intelligence." According to the original proposal for the research project, McCarthy--along with fellow organizers from Harvard, Bell Labs and IBM--wanted to explore the idea of programming machines to use language and solve problems for humans while improving over time. It would be years before these lofty objectives were met, but the summer workshop is credited with launching the field of artificial intelligence (AI). Sixty years later, cognitive scientists, data analysts, UX designers and countless others are doing everything those pioneering scientists hoped for--and more.
SAN FRANCISCO: Building on the success of its first-generation AI platform, Infosys Mana and its Robotic Process Automation (RPA) solution, AssistEdge, Infosys on Thursday launched'Infosys Nia', the next-generation Artificial Intelligence (AI) Platform for businesses. Infosys Nia converges the big data/analytics, machine learning, knowledge management and cognitive automation capabilities of Mana; end-to-end RPA capabilities of AssistEdge; advanced, high-performance and scalable machine learning capabilities of Skytree; and optical character recognition (OCR), natural language processing (NLP) capabilities and infrastructure management services. "Nia takes our purposeful approach to AI, one in which technology serves to amplify people and empowers them to work in new ways, to new heights," Vishal Sikka, Chief Executive Officer at Infosys, said in a statement. "When we bring this together with our unmatched ability to educate and train in AI techniques and emerging technologies, we now have the platform, the services and the skills, to deliver new unprecedented value to our clients," he added. Infosys Nia, tackles business problems such as forecasting revenues, forecasting what products need to be built, understanding customer behaviour, understanding the content of contracts and legal documents, understanding compliance, and fraud.