Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
“Above the Trend Line” – Your Industry Rumor Central for 12/20/2023
How CISOs Can Enable Productization of Valuable Data Assets
In this contributed article, Ellie Dobson, VP Product at Apheris, suggests that organisations know that data is often the most valuable asset that they own. But unlocking the full potential of these data assets is difficult in the face of privacy and security concerns. This is compounded by a lack of existing infrastructure that allows for collaboration across organisations.
IT Survey Finds Enterprises Identify Automation and Generative AI as Top Business Priorities
Digitate, a leading provider of SaaS-based enterprise software for IT and business operations, released the results of its new study, “AI and Automation: Laying the Foundation for the Autonomous Enterprise” revealing that 90% of IT decision-makers plan to deploy more automation, including AI, in the next 12 months.
insideBIGDATA AI News Briefs Bulletin Board
Welcome insideBIGDATA AI News Briefs Bulletin Board, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art. The news bites are constantly being added in reverse date order (most recent on top). With our bulletin board you can check back often to see what’s happening in our rapidly accelerating industry.
Heard on the Street – 12/18/2023
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.
Lightning AI Introduces Lightning AI Studios; its Enterprise-Grade Platform for Rapid-prototyping, and Deploying AI Products
Lightning AI, the company behind PyTorch Lightning, with over 91 million downloads, announced the introduction of Lightning AI Studios, the culmination of 3 years of research into the next generation development paradigm for the age of AI.
AI Isn’t Screenwriters’ Enemy – In Fact, It Can be a Creative Superpower
In this contributed article, Ben Pines, director of content at AI21 Labs, discusses how generative AI can help screenwriters—not put them out of business, a concern that many have expressed and which is also among the reasons the Writers Guild of America went on strike.
New Report on Potential Impact of AI on Future of Work
A new special report, “Future of Work Report: AI at Work,” was just-released by LinkedIn that looks at the emerging trends within AI in the workplace and examines the potential impact of AI on the future of work.
REPORT: The C-suite Weighs in on Gen AI
Thomson Reuters’ “Future of Professionals C-Suite Report,” reveals that while the majority of the C-suite is already or planning to use Gen AI at work, an overwhelming 87% of execs are concerned with how it will be deployed.
Deci Unveils DeciLM-7B: A Leap Forward in Language Model Performance and Inference Cost Efficiency
Deci, the deep learning company harnessing AI to build AI, unveiled the latest addition to its suite of innovative generative AI models, DeciLM-7B, a 7 billion parameter large language model. Building upon the success of its predecessor DeciLM 6B, DeciLM 7B is setting new benchmarks in the large language model (LLM) space, outperforming prominent open-source models such as Llama2 7B and Mistral 7B in both accuracy and efficiency.