Teradata AI Unlimited in Microsoft Fabric is Now Available for Public Preview through Microsoft Fabric Workload Hub

Teradata today announced that Teradata AI Unlimited is now available for public preview through the Microsoft Fabric Workload Hub. Microsoft Fabric Workload Hub allows customers to discover and add new ISV offered capabilities to their Fabric environment. AI Unlimited in Microsoft Fabric is a serverless compute engine that was designed to speed up Trusted AI innovations delivered at enterprise scale.

How Generative AI is Shaping the Next Wave of Innovation

In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.

How AI is Transforming Legal Operations and Revolutionizing Contract Management Efficiency

In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive function within organizations.

Snowflake Unveils Snowflake Intelligence: The Future of Data Agents for Enterprise AI

Snowflake, the AI Data Cloud company, announced Snowflake Intelligence (in private preview soon), a new platform that will enable enterprises to easily ask business questions across their enterprise data to unlock data-driven answers, and in just a few steps, create data agents that take action on those insights.

AI Automation: A New Era in Business Efficiency and Innovation

In this contributed article, Dmitry Shapiro, Founder & CEO of MindStudio, discusses how businesses worldwide are recognizing the potential of AI to not only streamline complex, data-heavy tasks but also to redefine traditional job roles, preparing organizations to thrive in an increasingly fast-paced, data-centric landscape.

IBM Launches Its Most Advanced Quantum Computers, Fueling New Scientific Value and Progress towards Quantum Advantage

IBM (NYSE: IBM) announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.

At 2024 AI Hardware & Edge AI Summit: Prasad Jogalekar, Head of Global AI and Accelerator Hub, Ericsson

At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Prasad Jogalekar, Head of Global AI and Accelerator Hub at Ericsson, a Sweden based telecomm multinational.

Cloudera to Acquire Octopai’s Platform to Deliver Trusted Data Across the Entire Hybrid Cloud Data Estate

Cloudera, the hybrid platform for data, analytics, and AI, announced that it entered into a definitive agreement with Octopai B.I. Ltd. (Octopai) to acquire Octopai’s data lineage and catalog platform that enables organizations to understand and govern their data.

AI Hallucinations Are Inevitable—Here’s How We Can Reduce Them

In this contributed article, Ulrik Stig Hansen, President and Co-Founder of Encord, discusses the reality – AI hallucinations aren’t bugs in the system—they’re features of it. No matter how well we build these models, they will hallucinate. Instead of chasing the impossible dream of eliminating hallucinations, our focus should be on rethinking model development to reduce their frequency and implementing additional steps to mitigate the risks they pose.

Why Auto-Tiering is Essential for AI Solutions: Optimizing Data Storage from Training to Long-Term Archiving 

In this contributed article, Gal Naor, Co-Founder and CEO of Storone, explores why auto-tiering is essential for AI solutions in terms of data storage. By embracing auto-tiering, AI-driven organizations can ensure they meet both the demands of today’s data-intensive environments and the challenges of tomorrow.