I am personally fascinated by predictive analytics and the ability to combine data elements to create an approximate idea of what the future may hold. Although data modeling has been used quite extensively in certain industries (e.g., weather predictions based on specific historic models and key indicators, insurance estimates and actuarial tables, etc.), the concept…
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These Artificial Intelligence techniques can speed up many aspects of drug discovery and in some cases, perform tasks typically handled by scientists. You can think of it as a World Cup of biochemical research. Every two years, hundreds of scientists enter a global competition. Tackling a biological puzzle they call “the protein folding problem”, they try…
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Building trust in AIOps may take time, but not because enterprise users are uninterested in artificial intelligence and machine learning (AI/ML) solutions. Why do enterprises need AIOps? Because complexity is exploding. Scale is massive. A single interaction on your smartphone, for instance, may touch dozens of computers and services—and millions of lines of code—across the…
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ITOps – 2018 was a good year for enterprise IT with innovative technologies beginning to be adopted by the mainstream. We also began to have discussions about the next leap for IT operations, introducing the idea that artificial intelligence will soon play a major role. 2019 is where this use of AI and machine learning…
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Nastel has been spending the week in San Francisco at IBM Think 2019! It has been a great week so far exhibiting and networking at IBM’s Think show at the Moscone Convention Center in San Francisco. Nastel has been here all week at Booth #375 in the Data & AI Campus. Stop by for a…
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Big data is currently on everybody’s lips with stringent regulations the order of the day and security breaches happening on a regular basis. A company called Endor has come up with a blockchain and AI based solution to manage and process data. After years of research at MIT, Endor claims to have invented the “Google…
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The Impact of Predictive Analytics in Higher Education. While for many a college degree may be the golden ticket to a better job, this incentive alone isn’t enough to stop millions from dropping out of school or delaying graduation. In fact, some universities are experiencing freshman retention rates as low as 47 percent. On top…
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Mistaking cognitive computing for just another AI misses the important contributions this computing platform offers. In 2011, two episodes of Jeopardy stunned the world when the best Jeopardy players in the history squared off against IBM’s Watson Cognitive Computing System and were soundly beaten. For many, this was the moment when artificial intelligence probably became…
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Data Mining – Nobel laureate Richard Feynman once asked his Caltech students to calculate the probability that, if he walked outside the classroom, the first car in the parking lot would have a specific license plate, say 6ZNA74. Assuming every number and letter are equally likely and determined independently, the students estimated the probability to be less…
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When it comes to marketing, historical data should always be a driver for strategy and planning. Predictive analytics is the next level of using that data for marketing success. Predictive analytics is the use of data, statistical algorithms and AI techniques to identify possible future outcomes. This can help you stay ahead of the curve and…
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