To find out exactly how people feel about AI influencing their dating journey, our friends over at Top10.com recently surveyed over one thousand adults about the idea. The results might surprise you!
Scaling Data Quality with Computer Vision on Spatial Data
February 12, 2024 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.
Navigating the AI Landscape in 2024: Prioritizing Ground-Truth Data, Developer Enablement, and Consumer Privacy
February 7, 2024 by Leave a Comment
In this contributed article, Jason Hudak, SVP of Engineering at Foursquare, explores four pivotal aspects shaping the AI landscape: the imperative role of quality ground-truth data, the proliferation of developer enablement, the renewed focus on consumer privacy in the midst of an election year, and the role LLM’s and NLP’s will play in data democratization.
Sony AI Big Data Industry Predictions for 2024
February 5, 2024 by Leave a Comment
Our friends over at Sony AI have prepared a special set of compelling technology predictions for the year ahead. The Sony AI team is comprised of researchers and leaders with backgrounds in deep reinforcement learning, data science, law, privacy and security, and more. They each offer different perspectives on topics related to AI ethics and policy, the use of AI to augment creativity and scientific research, emerging AI training methods, and more. From the company’s point of view 2024 should be quite a year! Enjoy these special perspectives from one of our industry’s best known movers and shakers.
AI Companies and Applications have a lot to Prove in 2024
January 31, 2024 by Leave a Comment
In this contributed article, Saad Siddiqui, General Partner at Telstra Ventures, indicates that while there are plenty of risks for VCs in AI right now, they’re overwhelmingly outweighed by the potential benefits. As AI adoption continues to gain momentum, the task in 2024 will be making strategic investments in companies and applications capable of maximizing the value of the most revolutionary technology in the world.
Generative AI Report – 1/30/2024
January 30, 2024 by Leave a Comment
Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.
Optimizing Performance and Cost Savings for Elastic on Pure Storage
January 24, 2024 by Leave a Comment
[SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.
2024 – the Year Ahead in AI
January 23, 2024 by Leave a Comment
In this contributed article, Anupam Datta, Chief Scientist and President of TruEra, highlights 2024 – the year ahead in AI in terms of flourishing innovation, riding up the maturity curve, and bringing AI into the real world.
Book Review: A Hands-on Introduction to Machine Learning
January 22, 2024 by Leave a Comment
I was pleased to receive a review copy of this new title from Cambridge University Press, “A Hands-on Introduction to Machine Learning.” The hardcover book is very attractive, well-produced and solid! It will weigh down your backpack for sure. As a university instructor myself, I immediately appreciated author and University of Washington professor Chirag Shah’s pedagogical approach.
The insideBIGDATA IMPACT 50 List for Q1 2024
January 18, 2024 by Leave a Comment
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
