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.

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. 

Crafting Precision Content Using Large Language Models 

[SPONSORED POST] Our friends over at DAC recently explored the potential of LLMs to interpret or generate text considering numerous parameters with extraordinary precision. They have demonstrated their ability to evaluate unstructured text blocks and grade them along various scales to great success. Additionally, they have been able to generate specific, tailored content using a complex series of instructions that can be tuned with precision to the same set of scales. 

Hallucination Index Identifies Best LLMs for Most Popular AI Use Cases

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

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.

New State of Generative AI Insiders Report Outlines the Urgency to be Generative AI-Ready in 2024

Businesses will face substantial competitive hurdles if they are not Generative AI-ready in the next few years; Report is the first to offer a generative AI scorecard for 2024 readiness.  “The State of Generative AI Insiders Report,” in conjunction with leaders from Insight Partners, Battery Ventures, Dataiku, Weights & Biases and Glean, was unveiled highlighting market challenges inherent with implementing generative AI in a scalable, profitable way.

Generative AI Report – 12/6/2023

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.

Genpact Unveils Operating Playbook for Scaling Responsible Generative AI Projects

Genpact announced an industry-first playbook: FMOps – The Generative AI Imperative for Production. The playbook, which focuses on Foundation Model Operations (FMOps), provides practical guidelines for building solid and efficient foundations for generative AI solutions.