Researchers have developed an artificial intelligence text prediction tool so advanced, it could take this sentence you’re reading and basically finish the article.
And they’re so concerned by its potential for “malicious applications,” the avowedly open-source organization that developed it is not releasing its full research.
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In a recent IDC report IT decision makers believe 75% of enterprises applications will use AI by 2021. Artificial Intelligence is not a new solution in fact we have seen various cycles of excitement followed by lulls. What makes this cycle any different? Two words: Deep Learning
PolyBase enables your SQL Server instance to process Transact-SQL queries that read data from external data sources. SQL Server 2016 and higher can access external data in Hadoop and Azure Blob Storage. Starting in SQL Server 2019 CTP 2.0, you can now use PolyBase to access external data in SQL Server, Oracle, Teradata, and MongoDB.
The last thing most data scientists want is a machine that replaces them! The idea that we can build a machine to conduct sophisticated analyses from start to finish has been around for some time now and new attempts surface every few years. The fully automated data scientist is going to be attractive to some organizations with no analytics experience whatsoever but for more sophisticated organizations the promise of such automation is bound to be met with skepticism and worry. Can you imagine visiting a machine learning driven medical service, accepting a diagnosis and prescriptions, and even undergoing surgery with no human oversight involved?