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.
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IT Survey Finds Enterprises Identify Automation and Generative AI as Top Business Priorities
December 19, 2023 by 1 Comment
insideBIGDATA AI News Briefs Bulletin Board
December 19, 2023 by Leave a Comment
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.
Lightning AI Introduces Lightning AI Studios; its Enterprise-Grade Platform for Rapid-prototyping, and Deploying AI Products
December 16, 2023 by Leave a Comment
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
December 15, 2023 by Leave a Comment
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
December 15, 2023 by Leave a Comment
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
December 14, 2023 by Leave a Comment
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.
Delphina Raises $7.5 Million to Build Copilot for Data Science
December 13, 2023 by Leave a Comment
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.
Get Lit: 5 Steps to Building your Organization’s Data Literacy as you Prep for AI
December 12, 2023 by Leave a Comment
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.
Hallucination Index Identifies Best LLMs for Most Popular AI Use Cases
December 8, 2023 by Leave a Comment
Galileo, a leading machine learning (ML) company for unstructured data, released a Hallucination Index developed by its research arm, Galileo Labs, to help users of today’s leading LLMs determine which model is least likely to hallucinate for their intended application.
Tips for Responsible Use of Generative AI in Enterprise
December 7, 2023 by Leave a Comment
In this contributed article, Thor Philogéne, CEO and Founder of Stravito, discusses how the effective integration of generative AI in enterprise requires the identification of clear goals and pain points; reliable data and a human-centric design.
