Real-time Analytics News for Week Ending August 12
In this week's real-time analytics news: NVIDIA continued to expand its AI efforts with the announcement of the NVIDIA AI Workbench.
Modernization Plans Dependent on Overcoming Skills Shortages
Automation and AI may be the keys to overcoming talent shortages when businesses approach modernization programs.
Responsible Generative AI Consortium Established
The Responsible AI Institute has launched a new consortium dedicated to developing generative AI tech safely.
Real-time Analytics News for Week Ending July 29
In this week's real-time analytics news: Amazon Web Services (AWS) made numerous AI-related announcements at this week's AWS Summit New York.
Getting started with cloud native
Sponsored by Chronosphere Getting started with cloud native Executive summary A reliable cloud native environment is essential for the survival of enterprises today. Moving to a modern microservices– and container-based architecture promises speed, efficiency, availability, and the ability to innovate faster key advantages enterprises need to compete in a world where a new generation of […]
5 Ways to Lower Technical Debt Through Modernization
Legacy modernization is imperative for organizations to make it in the digital age. It is also the solution to scaling back their technical debt.
Addressing the Challenges of Real-Time Data Sharing in IoT
By analyzing real-time data generated by IoT devices, organizations can gain actionable insights to drive informed decision-making, enhance operational efficiencies, and create new revenue streams.
Few-shot Domain Adaptation Could Make AI Deployment Easier
Few-shot Domain Adaptation offers a potential fix for the challenge of acquiring and annotating large datasets for training AI models accurately.
Real-time Analytics News for Week Ending July 1
In this week's real-time analytics news: Announcements from the Snowflake Summit 2023 and the Data+AI by Databricks conference dominated the week’s news.
‘Lack of Truthfulness’ Hampers Generative AI Adoption
A majority of the 300 AI experts and practitioners who participated in a recent survey are nervous about the accuracy of generative AI output.