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.
Teradata AI Unlimited in Microsoft Fabric is Now Available for Public Preview through Microsoft Fabric Workload Hub
November 19, 2024 by
Teradata Makes Real-World GenAI Easier, Speeds Business Value
October 9, 2024 by
Teradata (NYSE: TDC) announced new capabilities for VantageCloud Lake and ClearScape Analytics that make it possible for enterprises to easily implement and see immediate ROI from generative AI (GenAI) use cases.
Teradata’s ClearScape Analytics Enhancements Will Speed up AI Projects & Lower Costs
September 18, 2024 by
Teradata (NYSE:TDC) announced new features and productivity enhancements to ClearScape Analytics, the most powerful, open, and connected AI/ML capabilities in the market today. These new features are designed to enable the world’s most innovative organizations to maximize the ROI of their AI/ML investments and boost data science productivity to achieve business outcomes faster and more efficiently.
Teradata Collaborates with Google Cloud on Enterprise-Scale Trusted AI Offerings that Accelerate Time-to-Value and ROI
June 26, 2024 by
Teradata (NYSE: TDC) announced that it will offer Teradata VantageCloud Lake on Google Cloud, featuring updates that are designed to leverage the strengths of both Teradata and Google Cloud to deliver Trusted AI with the expertise, scale, and technology that enterprises require.
Survey: C-Suite Execs Trust AI’s Potential but Face Challenges in Strategy, Execution, and Reliability
May 25, 2024 by
A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.
Survey Shows Top-Down Pressure to Adopt Generative AI, But Just 30% of Enterprises are Ready to Do So Today
August 1, 2023 by
Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. That’s according to a new IDC survey, sponsored by Teradata (NYSE: TDC).
Interview: Atif Kureishy, Global VP, Emerging Practices at Teradata
June 11, 2019 by
I recently caught up with Atif Kureishy, Global VP of Emerging Practices at Teradata, during the 2019 edition of the NVIDIA GPU Technology Conference, to get a deep dive update for how Teradata is advancing into the fields of AI and deep learning. He also speaks about the ways Teradata and NVIDIA are accelerating time to value for enterprise AI environments and gathering financial services insights from GPUs.
Using the Cloud: Capitalizing on Performance, Analytics and Data
July 6, 2017 by Leave a Comment
Demand for enterprise cloud services is growing exponentially. A recent Teradata survey indicates that by 2020, 90% of their customers expect to have a hybrid cloud environment—and more than 85% expect to buy analytics as a service. Download the insideAI News special report, courtesy of Teradata, to learn more about how to use the cloud to your advantage.
The Connected Well
September 1, 2016 by Leave a Comment
The sorts of questions that oil and gas managers
need answers to is driving the need for ever more sophisticated analysis. Moving from descriptive analytics which answer the question “What happened?” to diagnostic analytics which address “Why did it happen?”. Once companies have that information, it would be natural to want to understand “When will
it happen again?” (predictive analytics). And finally, companies will also want to find out “What should happen?” (prescriptive analytics) in certain scenarios, so that they can get repeatable results.
Risk Scoring Big Data and Data Analytics
September 1, 2016 by Leave a Comment
Many healthcare organizations currently utilize a Risk Scoring program as part of doing business. Health insurance companies, for example, calculate one Risk Score for each member to reserve for risk-adjusted payments to Medicare Advantage and Health Insurance Exchange plans. While the calculation of one Risk Score per member is effective for the distribution of risk-adjusted payments, it lacks insight into a member’s medical needs. The current methodology fails to provide a complete picture of members’ health and serves as more of a reactive than preventative tool.
