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
December 19, 2023 by 1 Comment
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.
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.
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.
Deci Unveils DeciLM-7B: A Leap Forward in Language Model Performance and Inference Cost Efficiency
December 14, 2023 by Leave a Comment
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
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.
Crafting Precision Content Using Large Language Models
December 11, 2023 by Leave a Comment
[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.
The Power of Startups in Turning Big Data into Big Impact
December 9, 2023 by Leave a Comment
In this contributed article, Ben Younkman, Regional Director at Village Capital, explores how forward-thinking startups are spearheading data-driven innovation to create digital solutions that increase access to critical services — including the financial, educational and healthcare sectors — resulting in a more equitable and inclusive world.
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.
