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.
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.
Delphina Raises $7.5 Million to Build Copilot for Data Science
Delphina, an LLM-powered copilot for data science, announced the closing of a $7.5 million seed round co-led by Costanoa Ventures and Radical Ventures with participation from 20+ prominent angel investors, including Stanford professor Fei-Fei Li. The funding will be used to expand its team and accelerate product development.
What Can the Sports Betting Industry Teach About Building Predictive Models?
In this contributed article, Dr. Darryl Woodford PhD, CTO at Cipher Sports, shares his insights about the key features of a good sports betting prediction model. We’ve already seen how fast and accurate these models can be. In the wagering industry, the next frontier is to apply these recent advancements to in-play and micro-betting markets, requiring another step forward in both data processing and data acquisition.
Get Lit: 5 Steps to Building your Organization’s Data Literacy as you Prep for AI
In this contributed article, Christine Andrukonis, Workplace Transformation Expert and founder of Notion Consulting, believes that the ultimate goal of data literacy is to provide a framework for data-driven decision-making. Nothing is stopping you from developing a learning program that’s also fun, engaging, and beneficial to employees in all parts of their lives.