IBM works with our insurance clients through different fronts, and data from the IBM Institute for Business Value (IBV) identified three key imperatives that guide insurer management decisions: Adopt digital transformation to enable insurers to deliver new products, to drive revenue growth and improve customer experience. Improve core productivity (business and IT) while reducing cost. …
Posted by Ameya Velingker, Research Scientist, Google Research, and Balaji Venkatachalam, Software Engineer, Google Graphs, in which objects and their relations are represented as nodes (or vertices) and edges (or links) between pairs of nodes, are ubiquitous in computing and machine learning (ML). For example, social networks, road networks, and molecular structure and interactions are …
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In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Two key players in this field, Striim and Google Cloud with BigQuery, offer a powerful combination to make this possible. Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse sources to …
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Mark Swinnerton aims to fight climate change by transforming abandoned mines into storage tanks of renewable energy. The CEO of startup Green Gravity is prototyping his ambitious vision in a warehouse 60 miles south of Sydney, Australia, and simulating it in NVIDIA Omniverse, a platform for building 3D workflows and applications. The concept requires some …
Read more “Buried Treasure: Startup Mines Clean Energy’s Prospects With Digital Twins”
By spending $5 billion for 10 years of WWE’s Raw, Netflix shows just how thoroughly it’s rewritten the old streaming rulebook.
Like many of us, you might find yourself nodding to a familiar digital doomsday chorus that vibrates through offices and coffee shops alike: AI will take my job!
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The digital age has ushered in an era where data-driven decision-making is pivotal in various domains, real estate being a prime example. Comprehensive datasets, like the one concerning properties in Ames, offer a treasure trove for data enthusiasts. Through meticulous exploration and analysis of such datasets, one can uncover patterns, gain insights, and make informed …
Read more “Revealing the Invisible: Visualizing Missing Values in Ames Housing”
Machine learning is an amazing tool for many tasks. OpenCV is a great library for manipulating images. It would be great if we can put them together. In this 7-part crash course, you will learn from examples how to make use of machine learning and the image processing API from OpenCV to accomplish some goals. …
This paper was accepted at the workshop on Regulatable ML at NeurIPS 2023. Conformal Prediction (CP) is a method of estimating risk or uncertainty when using Machine Learning to help abide by common Risk Management regulations often seen in fields like healthcare and finance. CP for regression can be challenging, especially when the output distribution …