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@teradata

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Teradata empowers autonomous AI action, grounding agents in deep business context and trusted data across cloud, on-premises & hybrid environments.

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Peter Fader literally wrote the book on Customer Lifetime Value.

Now he's joining Teradata's Craig Goedecke onfor a live Q&A focused on the questions that matter most to you.

Bring your toughest CLV challenges. Share your biggest questions. Get answers and insights in real time.

https://www.brighttalk.com/webcast/19856/674533?utm_source=brighttalk&utm_medium=ooh by @teradata

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2 days ago

Your AI agent may be spending tokens reasoning about something your enterprise already knows.

That hidden cost is the context tax.

Instead of forcing AI to guess, Tera Context Engine provides governed business context so agents can work from a shared foundation, delivering more accurate answers while reducing unnecessary compute.

Better accuracy. Smarter economics.

Read the article by Teradata CPO Sumeet Arora and Senior Director of Product Management Ripley Yates to learn more.

https://www.teradata.com/insights/ai-and-machine-learning/the-missing-layer-in-enterprise-ai by @teradata

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3 days ago

Agentic AI can help telcos scale everything from autonomous networks to fraud detection. But without the right guardrails, it can also amplify mistakes.

The answer: connect AI to trusted enterprise data and processes.

With the Teradata Autonomous Knowledge Platform and MCP server, organizations can combine AI autonomy with enterprise control through:

🔹 MCP + RAG that grounds AI in trusted data, tools, and the Teradata Communications Data Model

🔹 Human-in-the-loop oversight that keeps people in control of high-impact decisions

Read Laurent Laisney’s article to learn how to build trusted, compliant, and explainable AI agents. https://www.teradata.com/insights/ai-and-machine-learning/scaling-agentic-ai-for-autonomous-telecom

#Telco #AgenticAI #DataGovernance #Teradata #AI #Telecommunications #EnterpriseAI #DataAndAI #DigitalTransformation by @teradata

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10 days ago

What if your AI agent could turn a business question into a complete, multi-step analysis on its own?

Meet Tera. Built for enterprise data work, Tera understands business objectives, works across systems, and delivers actionable results.

Join us on Sept. 30 for a live demo featuring a real customer satisfaction use case, from first question to final insight.

🔗 Register: https://events.teradata.com/TerainActionFromBusinessQuestiontoCustomer?RefId=social

#EnterpriseAI #AIAgents #DataAnalytics #CustomerExperience #Teradata by @teradata

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a month ago

Enterprise AI creates value when insights become action.

Join Teradata President and CEO Steve McMillan on Sept. 9 for a fireside chat with Citi on the future of AI, the importance of trusted data, and how enterprise intelligence turns insights into autonomous action by grounding AI agents in deep business context.

🔗 Register: https://kvgo.com/2026-global-tmt-conference/teradata-sep-2026

#AI #EnterpriseAI #TrustedData by @teradata

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a month ago

AI where your data lives.

Teradata now enables enterprise AI directly on Microsoft OneLake data, reducing data movement and simplifying governance.

Learn more: https://www.teradata.com/press-releases/2026/teradata-enterprise-ai-on-onelake-data

#Teradata #EnterpriseAI #DataGovernance by @teradata

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a month ago

AI has a context problem.

Most AI initiatives don't struggle because the models aren't powerful enough. They struggle because AI often lacks the business context needed to make meaningful, reliable decisions.

Agentic AI requires more than data. It requires understanding.

At upcoming Teradata Autonomous Intelligence World Tour London on October 20, President and CEO Steve McMillan explores why context is becoming a critical differentiator for AI success.

The takeaway: AI doesn't create value from data alone. It creates value when enterprise data is connected to business context, governance, and meaning.

Registration link: https://teradata.cventevents.com/kbk5WQ?RefId=social by @teradata

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a month ago

Your AI predicts an 18% reduction in CPU utilization.

Would you trust it enough to act?

The hardest problem in applied AI isn't generating predictions. It's knowing when not to trust them.

In Medium Teradata's Saquib Irtiza explores the "confidence paradox": models can appear just as confident when facing unfamiliar situations as they do when operating within their experience.

His proposed framework goes beyond a single confidence score by asking:

✅ Have we seen anything like this before?
✅ How much agreement exists across predictions?
✅ What's the realistic range of outcomes?

Because trustworthy AI isn't about eliminating uncertainty. It's about making uncertainty visible, measurable, and actionable.

The greatest risk isn't a model that says, "I don't know." It's one that never does.

Link: https://medium.com/teradata-labs/teaching-your-model-to-say-i-dont-know-f232298ad2b8?source=friends_link&sk=b2e1e9a9d32ea0d2241f0db708891bed by @teradata

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a month ago

🚀 Your AI model is ready. Is your data?

Data movement and pipeline complexity can create bottlenecks that slow even the most advanced AI initiatives.

Join Teradata expert Debjani Panda on August 25 for a live technical demo and discover how Arrow Flight SQL on Teradata can help accelerate the journey from data to AI.

▶️ Watch the preview video, then join us live to see it in action.

🔗 Register: https://events.teradata.com/AcceleratingAIWorkloadsWithArrowFlightSQL?RefId=social

#AI #DataEngineering #GenerativeAI by @teradata

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2 months ago

#You don't have to start over to become AI-ready.

Most enterprises aren't getting a greenfield opportunity, and that's fine. If your existing warehouse or industry data model already serves as the domain module, the focus should be on enhancing it, not replacing it.

Key takeaways from our latest article:

🔹 Start with semantics so agents can discover and understand existing assets
🔹 Use AI-native data product standards as an assessment framework, not just a design framework
🔹 Measure readiness with metadata and query logs you already have
🔹 Capture institutional knowledge before it walks out the door
🔹 Standardize a common metadata shape, not a common enterprise model
🔹 Apply standards to new work and let the estate converge over time

The biggest barrier to AI readiness may not be your data platform. It may be the knowledge that isn't captured around it.

Are you facing a knowledge problem, a structural problem, or both?

Read the article:
🔗 https://medium.com/teradata-labs/you-dont-have-to-start-over-068685c30063?sharedUserId=teradata

#TeradataLabs #Innovation by @teradata

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2 months ago

🐶 A little teamwork to help some furry friends!

Teradata employees recently packed doggie care kits for new pet owners adopting through Helen Woodward Animal Center. Each kit is filled with helpful items to give families a great start as they welcome a new four-legged member into their home.

It was a fun way to come together while supporting pets and the people who love them. ❤️

Founded in 1972, Helen Woodward Animal Center is dedicated to the philosophy that “people help animals and animals help people,” providing adoption, education, and therapeutic programs that benefit the community.

Thanks to everyone who joined in and made a difference! 💖

#TeradataCares #Volunteerism by @teradata

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2 months ago

AI is getting smarter. But AI without business context is still just guesswork.

The next era of AI isn't about bigger models. It's about connecting AI to the knowledge already embedded across your organization's data, processes, policies, and people.

The companies that win with AI won't necessarily be the ones using the most AI. They'll be the ones giving AI the context it needs to make better decisions, drive better outcomes, and create real business value.

📖 Learn why Enterprise Intelligence is becoming the foundation for AI at scale: https://www.teradata.com/insights/ai-and-machine-learning/enterprise-intelligence-next-era-of-ai by @teradata

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2 months ago