The Future of AI Startups: Explainability Is Your Competitive Edge

In this contributed article, Lucas Bonatto, Director of Engineering for AI and ML at Semantix, discusses how generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity. These pre-trained ML solutions, which previously required highly skilled teams to train, close the gap between tech giants and digital novices—but that’s if they understand the fine print.

New IDC Survey: 75% Expect to Gain Value from AI Decision Making

IDC estimates that organizations worldwide will spend $290 billion on data management, analytics, and AI technology – but is there enough return on the investment? In this feature article we share findings from a new IDC survey looking at the ROI in AI-powered decision making –- known in the market as decision intelligence. IDC contrasts leaders operationalizing and gaining outcomes through better, faster decisions, and challenges that exist. Enterprises already tapping decision intelligence are improving business metrics up to 20%. The survey also found 75% expect to gain significant benefits through future decision intelligence initiatives.

IBM Launches $500 Million Enterprise AI Venture Fund

IBM (NYSE: IBM) today announced that it is launching a $500 million venture fund to invest in a range of AI companies – from early-stage to hyper-growth startups – focused on accelerating generative AI technology and research for the enterprise.

Report Highlights Policy Changes to Manage AI Displacement

The Global Partnership on Artificial Intelligence (GPAI) has just released a new report, “Generative AI, Jobs, and Policy Response,” focused on the biggest pain points regarding GenAI, specifically how it will impact the workforce.

IBM’s Groundbreaking Analog AI Chip: Ushers New Era  of Efficiency and Accuracy  

In this contributed article blogger Justin Varghise discusses the ground breaking advancement for AI that IBM has unveiled – a cutting edge analog AI chip that promises and  has potential to redefine the landscape of deep neural networks (DNNs). This chip is 100 times more  energy-efficient and up to 10 times faster than traditional digital AI chips for performing deep neural  network (DNN) computations. 

Heard on the Street – 11/2/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Generative AI Report – 11/1/2023

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.

Kickstart Your Business to the Next Level with AI Inferencing

The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.

The Time is Now for Green AI

Our friends over at Booz Allen, are strategizing about what organizations can do now to start making a positive environmental impact, while maintaining the same level of efficiency with AI models. This and many other topics are covered in the latest edition of Velocity, a Booz Allen publication.

Generative AI: Redefining the Economics of Software Development

Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, “Generative AI: Redefining the Economics of Software Development,” from our friends at SoftServe shows Open AI’s Generative AI can increase productivity for development teams across the SDLC (software development life cycle) by up to 45%.