There’s a new concept called AI Tables that brings machine learning into databases. It allows regular BI tools to leverage the power of ML forecasting with just SQL commands. … Read More
While recently speaking with a data scientist friend from the RiseLab in Berkeley who primarily operates in the pandas API using Modin. She mentioned that she was trying to solve a problem for
MindsDB is proud to publish a first guest post by Kirk Borne, Principal Data Scientist at Booz Allen and top Big Data and AI influencer. In the article below, Kirk Borne shares his experience in doing descriptive analytics and predictive analytics for NASA and explains the benefits brought by bringing Machine Learning at the data source. … Read More
A major advantage gained by leveraging AI in the business world is optimizing the human decision-making process. For example, computing power combined with Machine Learning models allows businesses to wean actionable information from massive amounts of data. As such, making sense of Big Data is driving the adoption of AI in multiple industries.
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For many years, larger enterprise-level businesses have been able to leverage the greatest gains from machine learning (ML). Bigger datasets enabled more detailed interrogation, while larger firms tended to have the deeper pockets necessary to develop and deploy traditional ML models. … Read More
Globally, stored data is predicted to reach around 175 zettabytes (ZB) by the end of 2025 from the current estimate of 40ZB. When we look at statistics like this, we can see that the data’s growth rate is exploding faster than ever. … Read More