Teradata Big Data Industry Predictions for 2024

Our friends over at Teradata have prepared a special set of compelling technology predictions for the year ahead. From the company’s point of view 2024 should be quite a year! Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs and much more. Enjoy these special perspectives from one of our industry’s best known movers and shakers.

Survey Shows Top-Down Pressure to Adopt Generative AI, But Just 30% of Enterprises are Ready to Do So Today 

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).

The insideBIGDATA IMPACT 50 List for Q3 2023

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

5 Mistakes to Avoid when Replatforming from Teradata

In this special guest feature, Mike Waas, CEO of Datometry, takes a look at why so many companies are replatforming from Teradata, and the mistakes enterprises should avoid to help them succeed, for example, rewriting ETL when going to the cloud.

Interview: Atif Kureishy, Global VP, Emerging Practices at Teradata

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.

Teradata Expands As-a-Service Offerings for Vantage

Teradata (NYSE: TDC), the Pervasive Data Intelligence company, announced three new offerings for its Teradata Vantage platform, reflecting Teradata’s commitment to offering as-a-service capabilities to meet the needs of their customers. These capabilities provide choice and flexibility for customers operating on Amazon Web Services (AWS) and Microsoft Azure, private cloud or hybrid cloud environments.

Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace

A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata, a leading cloud-based data and analytics company. In the next five years, by the year 2023, most organizations want to run all of their analytics in the cloud. But, an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.

Teradata Announces IntelliSphere to Enable a Flexible, Cost-Effective and Scalable Analytical Ecosystem

Teradata (NYSE: TDC), a leading data and analytics company, announced Teradata IntelliSphere™, a comprehensive software portfolio that unlocks a wealth of key capabilities for enterprises to leverage all the core software required to ingest, access, deploy and manage a flexible analytical ecosystem.

State of Artificial Intelligence for the Enterprise

A survey conducted in July 2017 by Vanson Bourne, the Teradata “State of Artificial Intelligence for Enterprises” report captures the here and now for AI — how executive decision-makers are investing in AI today, the expected return on investment (ROI), what barriers lie ahead and how businesses craft a solid game plan to realize AI’s full potential.

The Digital Art of Detecting Fraud

In this special guest feature, Christopher Hillman, Principal Data Scientist in the International Advanced Analytics team at Teradata, discusses the significant progress being made in the area of fraud detection through use of machine learning by providing new insights into existing problems.