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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like). will look like).

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Highlights from the Strata Data Conference in New York 2018

O'Reilly on Data

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Below you'll find links to highlights from the event. Preserving privacy and security in machine learning. Watch " Preserving privacy and security in machine learning.". The missing piece.

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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

By leveraging artificial intelligence and machine learning technologies, the smart city solution also learns to identify normal patterns of activity occurring in public places. IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed.

IoT 145
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

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The unreasonable importance of data preparation

O'Reilly on Data

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 Before you even think about sophisticated modeling, state-of-the-art machine learning, and AI, you need to make sure your data is ready for analysis—this is the realm of data preparation.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.