Teradata Unveils AI-Driven Data Analytics Innovations and NVIDIA Partnership at Possible 2024

Teradata's Strategic Shift to AI-Driven Analytics

Teradata, a long-standing player in the data analytics field, is making significant strides in integrating AI into its core offerings. At the Teradata Possible 2024 event, the company unveiled a series of innovations and partnerships aimed at positioning itself as a leader in the AI-driven data analytics space 1

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Steve McMillan, CEO of Teradata, emphasized the company's pivot towards AI: "Over the last 40 years, but especially in the last four years, we've been able to pivot the company to develop a trusted hybrid platform for AI at scale" 1

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. This strategic shift reflects Teradata's recognition of the growing importance of AI in data-driven decision-making processes.

New AI Capabilities and Partnerships

Teradata announced several key developments:

1. Integration with NVIDIA: A collaboration to incorporate NVIDIA's AI full-stack accelerated computing platform, including NVIDIA NIM, into Teradata's Vantage platform 4

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2. Bring-Your-Own LLM (BYO-LLM): A new feature allowing customers to use small or mid-sized open AI solutions, making AI implementation more cost-effective and versatile 4

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3. GPU Analytic Clusters: Support for GPU-based inferencing and fine-tuning, enhancing performance for complex AI tasks 4

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Meeta Vouk, VP of Product Management for AI and Analytics at Teradata, explained the company's approach: "We are saying, 'Bring AI to the data rather than move the data to AI'" 2

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. This strategy aims to minimize data movement and maximize security and privacy.

Hybrid AI and Sustainable Practices

Teradata is emphasizing a hybrid AI approach, leveraging both CPU and GPU infrastructures. McMillan highlighted the company's unique position: "The real magic of Teradata is [its] massively parallel architecture, and the way that we orchestrate workloads enables us to run complex AI and gen AI workloads just as well on a CPU infrastructure as they can run on a GPU infrastructure" 3

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This approach not only provides flexibility but also addresses sustainability concerns. McMillan noted, "If you think about the energy usage predictions for these huge inference engines, you start to get to the point [that] you've got to be able to run it efficiently and effectively" 1

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Real-World Applications and ROI

Teradata is focusing on practical AI applications that deliver immediate business value. Hillary Ashton, Chief Product Officer at Teradata, stated, "With Teradata, organizations can make the most of their AI investments and drive real, immediate business value" 4

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Examples of real-world applications include:

• Personalized marketing campaigns resulting in significant sales uplift 2

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• Healthcare applications for summarizing doctor's notes 4

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• Financial services chatbots with domain-specific knowledge 4

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Future Outlook and Availability

Teradata's new AI offerings are being rolled out in phases:

• ClearScape Analytics BYO-LLM for VantageCloud Lake will be available on AWS in October 2024, with Azure and Google Cloud following in 1H 2025 4

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• VantageCloud Lake with NVIDIA AI accelerated compute will be available on AWS in November 2024, with additional capabilities coming in Q4 2024 and 1H 2025 4

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As Teradata continues to evolve its AI strategy, the company is positioning itself as a key player in the enterprise AI space, focusing on scalability, sustainability, and practical business applications.