Machine learning is on a steep adoption curve and making its inroads in our daily lives and work. The application of the technology won't be an issue at all. There's an abundance of meaningful value propositions for many functional areas, business processes and roles across multiple industries. Software vendors of enterprise business solutions are focusing their product development on machine learning and other related artificial intelligence technologies. CEO Bill McDermott of SAP said that intelligent applications will fundamentally change the way you do work in the enterprise in the next decade.
It's been just about six months since IBM closed its acquisition of The Weather Company, but it's not resting on its laurels. This week Big Blue moved to leverage The Weather Company's go-to-market strength to launch Deep Thunder, a machine learning-driven weather model developed by IBM Research to help industries ranging from aviation and agriculture to retail better predict the business impact of weather. "One of the greatest things about being part of IBM is having a relationship with IBM's Research arm," says Mary Glackin, head of Science & Forecast Operations for The Weather Company. The Weather Company is actually merging its existing Rapid Precision Mesoscale (RPM) model -- a numerical weather prediction system based on the Advanced Research Weather Research and Forecast System (WRF-ARW) -- with Deep Thunder. RPM generates forecasts up to 24 hours ahead, with updates every three hours in the U.S. and every six hours outside the U.S. Precipitation forecasts are calculated from half-hourly instantaneous precipitation forecasts provided by RPM.
Kurt Vonnegut's novel Slaughterhouse Five and J.K.Rowling's series of Harry Potter novels describe the time travel paradox. Traveling through time changes the future from the point in time where the traveler arrived. The personal assistant that will arrive at some time in the future will change humans from that point in time forward, but in a more impactful way than GPS. Google and Facebook have recruited the best artificial intelligence (AI) and machine learning talent in the world to build personal assistants in small increments. The personal assistant's intimate knowledge of users' likes and dislikes and awareness of situational context could be like Samantha depicted in the movie Her, but without an emotional relationship so users will not fall in love with their assistants.
A charitable foundation backed by Mark Zuckerberg and his wife said Monday it has bought a Canadian artificial intelligence startup as part of a mission to eradicate disease. The Chan Zuckerberg Initiative did not disclose financial terms of the deal to acquire Toronto-based Meta, which uses AI to quickly read and comprehend scientific papers and then provide insights to researchers. Meta capabilities will be unified in a tool made available for free to scientists. Meta artificial intelligence can analyze insights across millions of papers, finding connections and patterns at scales and speeds impossible for humans to match unassisted. In the field of biomedicine alone, thousands of research papers are published daily.
IBM (NYSE: IBM) today revealed a series of new servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community that deliver higher levels of performance and greater computing efficiency than available on any x86-based server. Collaboratively developed with some of the world's leading technology companies, the new Power Systems are uniquely designed to propel artificial intelligence, deep learning, high performance data analytics and other compute-heavy workloads, which can help businesses and cloud service providers save money on data center costs. The three new systems are an expansion of IBM's Linux server portfolio comprised of IBM's specialized line of servers co-developed with fellow members of the OpenPOWER Foundation. The new servers join the Power Systems LC lineup that is designed to outperform x86-based servers on a variety of data-intensive workloads.