Name: Demo 2: Optimizing Data Prep for Advanced Predictive Modeling
Start: 2023-09-26T09:53:00Z
End: 2023-09-26T09:53:29.000Z
Location: BrightTALK
Rating: 5

At Teradata, we believe that people thrive when empowered with trusted information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, Trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Enabling everyone in the enterprise to make data-driven decisions has been a challenge. The friction of learning about data structures and accessing languages like SQL are frequent barriers.

Teradata’s MCP server eliminates these friction points through a natural language interface that leverages AI agents. This provides unprecedented semantic access to enterprise data. Built on Teradata Vantage®, the MCP server and agentic framework enable querying, analysis, and management of data with full context. It turns users into drivers of trusted knowledge. 

Watch this replay for an exclusive demo of Teradata’s MCP server, integrated with the latest agentic toolset. Discover how this modular, AI-powered framework transforms enterprise data management through intelligent automation and secure, efficient operations.

You’ll learn how to:

- Democratize exploratory data analytics across your entire data estate
- Use agentic AI to simplify and automate data platform administration
- Rapidly deploy agentic AI applications targeted to your own business data and processes
- Seamlessly integrate enterprise feature and vector stores into your agentic architectures

Build AI Agents on Enterprise-Scale Data Using Teradata MCP Server

Discover how AI is transforming the customer experience—from smarter engagement to real-time personalization.

Watch this replay and find out more about the design of AI/ML pipelines at scale with guest Martin Hillebrand, a data scientist with extensive hands-on experience in operationalizing machine learning.

We begin with tdprepview, a Python library that automates data preparation inside the database. By defining pipelines in a scikit-learn–like syntax, it generates SQL views for preprocessing tasks such as imputing, encoding, scaling, and dimensionality reduction. This approach eliminates costly data movement, ensures consistency, and allows pipelines to scale to very large datasets.

From there, we explore ClearScape Analytics Experience, which shows how the next stages of the workflow can be managed. This includes training an open-source model, converting it to an open-exchange format like ONNX and deploying this with Bring Your Own Model in-database at scale.

Together, these practices create an end-to-end path from raw data to pipelines that are efficient, reproducible, and built for scale.

Scaling AI/ML Pipelines with In-Database Analytics

As enterprises accelerate AI adoption, they're grappling with the technical reality that the growth of unstructured data will drive the need for billions of vectors and cost-effective solutions to store and analyze this data at scale. This technical revolution affects all customers, including those in highly regulated industries that require on-premises solutions to meet regulatory, compliance, and data sovereignty standards. For these customers—as well as those seeking tighter control over infrastructure costs—an on-premises AI factory solution is purpose-built to address their unique requirements.

Join us and we'll show how Teradata and NVIDIA enable AI factories—purpose-built, on-premises AI solutions tailored for regulated industries and organizations that demand greater control, enhanced security, and cost predictability. See how an AI factory delivers a full-stack AI environment seamlessly integrating structured and unstructured data essential for powering generative AI, agentic AI, and Retrieval-Augmented Generation (RAG) applications.

See how to:
• Build end-to-end AI-powered analytics and AI-augmented use cases
• Execute secure RAG workflows
• Seamlessly deploy and manage AI models

Watch it now on-demand!

Enabling AI Factories with Teradata and NVIDIA

As generative AI and agentic AI strategies continue to evolve, enterprises are looking for ways to extract insights and value from unstructured data, which will account for over 80% of global data in 2025. The growth of unstructured data will drive the need for billions of vectors and the need for cost-effective solutions to store and analyze this data at scale. This includes customers in highly regulated industries that require an on-premises solution due to regulatory, compliance, data sovereignty standards or customers who wish to closely manage infrastructure costs.
This exclusive live webinar, featuring a fireside chat with experts from Teradata and Nvidia, introduces AI On-Prem, a purpose-built AI/ML solution with an integrated Enterprise Vector Store. AI On-Prem combines Teradata’s proven analytics and AI expertise with the power of NVIDIA AI Enterprise to enable customers to maximize their GPU investments.
Join executives from Teradata and NVIDIA for our LinkedIn Live session “Unlocking the Potential of AI On-Prem: A Secure, Innovative On-Premises AI Solution.” to gain valuable insights into how enterprises can enable on-premises AI innovation while managing complexity, compliance, and cost.
During this live discussion, you’ll learn more about: 
• What C-suite executives are saying about Private AI 
• How to address the growing demands for faster AI ROI through the powerful integration of Teradata and NVIDIA
• How leading enterprises need enterprise-scale vector stores to drive AI-driven results
• How Teradata addresses the unique AI requirements of on-premises customers

Watch it now on-demand!

Unlocking the Potential of Teradata AI Factory: A Secure, Innovative On-Premises AI Solution

Enterprise organizations face critical challenges as they move from traditional analytics to AI/ML workloads. Legacy platforms often create performance bottlenecks, scalability issues, and complex multisystem environments requiring high operational effort without adequate computational gains. These inefficiencies hinder competitiveness and strain resources.

Teradata resolves these problems by combining traditional analytics, advanced analytics, and AI/ML workloads on one platform. This eliminates system fragmentation, simplifies operations, and creates a trusted data foundation essential for AI success. Organizations benefit from better performance with fewer infrastructure demands and less reliance on specialized expertise.

In this demo, we highlight Teradata's automated migration and workload optimization tools designed to help enterprises shift to modern, AI-ready architectures while maintaining data integrity and governance:

- DDL Converter: Automatically translates legacy database structures to Teradata’s platform, reducing manual work and accelerating migration.
- Data Validation Tool (DVT): Maintains data accuracy, completeness, and consistency throughout the transition.
- Workload Optimization: Routes various workload types—analytics to AI/ML—to optimal compute resources while preserving governance.
- Migration Planning Tools: Analyze current infrastructure, uncover optimization opportunities, and guide modernization strategies.

Watch the session on demand and discover how effortless transformation can be.

Simplify Platform Modernization With Automated Migration Tools

Join Alex Wurm, analyst at Nucleus Research, and experts from Teradata for a conversation about what really matters: ROI. Drawing from in-depth interviews with Teradata customers across industries like financial services, telecommunications, manufacturing, and healthcare, Wurm will share what separates high-performing data and AI initiatives from those that stall out.

In this session, you’ll learn:  

- How leading organizations are cutting model development time by up to 51% and boosting data science productivity
- Why customers are achieving 3x ROI and payback in under a year—and how they're doing it
- Where Teradata delivers the most measurable value (hint: it's not just in IT savings)
- How to reframe technical initiatives in terms of business impact so stakeholders get on board 

Whether you’re kicking off a new project or need to demonstrate impact from an existing one, this session will give you practical, independent insights to lead with value and win support.

The ROI Conversation: Framing Data & AI Projects for Executive Buy-In

During this event, you’ll learn how to accelerate text analytics with teradatagenai, a Python library that brings in-database AI capabilities to Teradata VantageCloud on Amazon Web Services (AWS). See how you can apply language models (LMs) and large language models (LLMs) to unstructured data quickly and securely—reducing the need for data movement while boosting scalability and performance. 
 
Organizations often struggle to extract insights from unstructured data when relying on manual processes, fragmented tools, or complex infrastructure. Teradatagenai simplifies gen AI text analytics by enabling secure, in-database processing of unstructured data—such as PDFs, emails, and transcripts—with flexible model options from Hugging Face and Amazon Bedrock. 
 
In this event, you’ll see how you can streamline text analytics workflows, reduce operational overhead, and unlock AI-driven insights faster—without moving data. 
 
•                Deploy Hugging Face and Amazon Bedrock models using the TeradataAI() class to simplify model integration and accelerate gen AI workflows. 
•                Apply diverse text analytics tasks—including sentiment analysis, classification, entity recognition, and personally identifiable information (PII) masking—directly within your database. 
•                Reduce complexity and operational costs by minimizing data movement and leveraging GPU acceleration inside the analytics environment. 
 
Register now to not miss out!

Simplify text analytics using AI with AWS and Teradata

Maintaining high data quality and consistency across various sources is crucial but challenging. Data engineers must manage complex workflows, ensure data quality, and scale operations to meet growing demands, including leveraging generative AI. Efficient real-time data integration is essential for timely insights and decision-making, yet it remains a significant challenge—despite robust data workflow technologies.

Teradata’s modern data stack integrations with third-party tools are intended to accelerate the building of data pipelines, increase productivity by freeing data engineers from repetitive work so they can innovate faster to drive profitable growth.

These tools, along with support for open table formats like Iceberg and Delta Lake, empower teams to simplify data extraction and loading into centralized storage solutions to seamlessly integrate and manage data across platforms.

View the live demo of a use case featuring Teradata’s newest modern data stack integration with Fivetran. We’ll show how this integration and others work together to simplify data engineering tasks and deliver a complete pipeline on Teradata Vantage®.

See how to:

- Process and deliver data in real time with Fivetran
- Transform raw data into meaningful insights with dbt
- Ensure data accuracy, consistency, and reliability throughout the pipeline
- Handle increasing data volumes to meet growing demands

Demo 18: Transform Data Pipelines for AI Insights With Teradata, Fivetran, and dbt

Sequoia Insight “Healthcare Data Reimagined”

Join Jeff Eckhaus, Chief Product Officer at Sequoia Insight and Greg Hinds, Vice President – Architecture at Sequoia Insight, for a demo of Sequoia Insight's RaaS Solution (Regulatory as a Service)

Bonus Demonstration - Google Cloud Industry AI Symposium

We kicked off the 2025 virtual Teradata Industry AI Symposium with Naveen Punjabi, Director, Analytics & AI ISV Partnership at Google Cloud, as he unveiled how Teradata and Google Cloud are transforming industries through AI and data innovation.

Welcome from Google Cloud - Google Cloud Industry AI Symposium

Why Teradata DataDNA™ matters: In today’s AI-driven world, understanding where your data comes from and how much you can trust it is more critical than ever. 

Teradata DataDNA™ helps you trace data lineage, assess data trustworthiness, and gain visibility into how your data is used across platforms. This service empowers you to confidently train LLMs and build AI solutions on a foundation of trusted data… so, the result is trusted AI.

Bonus Demonstration – Teradata DataDNA™ Service - Google Cloud Industry AI Symposium

Agentic AI, Vector Databases

A thought-provoking conversation between Lesley Scholes, Vice President, Americas Industries Sales at Teradata and Patrick Smith, Head of AI Specialist Engineers – TMEG at Google Cloud, exploring key Telco trends like Agentic AI and vector databases.

Bonus: Industry Trends Spotlights 2 - Google Cloud Industry AI Symposium

Accelerating Insights from Unstructured Data with Teradata Vantage and Google Gemini 

Calling all data scientists and developers in the audience:
80% of global data is unstructured, including text, emails, reviews, and transcripts. For years, organizations have struggled to turn this data into actionable insights using slow, manual processes. What if these insights could be generated in just hours?

In this breakout recording, we demonstrate how generative AI tools like Google Gemini and Teradata Vantage are transforming how businesses analyze unstructured data. Google Gemini’s Large Language Models (LLMs) provide quick insights, while Teradata Vantage ensures these insights are operationalized across large enterprise datasets with scalability and seamless integration.
Watch this recording to learn how this powerful combination is revolutionizing enterprise data workflows and accelerating insight generation.

Ep7: Developer Breakout - Google Cloud Industry AI Symposium

Join Praveen and Thomas for an executive summary of Day 3 – the Telecommunications and Media CX | AI Day at the Industry AI Symposium. 

In this session, you will find the Possible 2025 waiver code “SPRO25LA“ for a free event registration at https://www.teradata.com/events/possible.

Ep6 Telco: Wrap-Up and Closing - Google Cloud Industry AI Symposium

Telefónica Spain: Innovating with Data & AI in B2B Segment

This session highlights the crucial role of data and AI innovation in driving business and technology development, always with a strong customer-centric approach. 

It also features a use case with Würth Spain, demonstrating the significance of Edge Computing for AI.

Read more in our blog article “Unlocking the value of 5G to deliver business outcomes” at https://www.teradata.com/insights/cloud-data-analytics/unlocking-the-value-of-5g

Ep5 Telco: Customer Presentation (Telefonica Spain) - Google Cloud Industry AI Symposium

Seeing the Unseen: How Hybrid Customer Data is Transforming CX with AI

What if you could understand your customers so well that you could predict their needs, frustrations, or even life events—before they tell you? In this must-see demo, Yann and Denis showcase how Teradata ClearScape Analytics is making that vision a reality.

This demo brings to life the power of hybrid customer data—the fusion of structured data (like transactions and call records) with unstructured data (like emails, voice calls, and social media). You’ll see how vector embeddings and semantic search can uncover hidden patterns in customer behavior, enabling smarter, faster decisions across industries like Telco and Media.

From identifying churn signals to decoding customer sentiment in real time, this demo shows how AI can turn scattered data into actionable insights. And the best part? You don’t need to be a data scientist to follow along.

Whether you're in marketing, operations, or strategy, this session will open your eyes to how AI can elevate customer experience, drive retention, and personalize engagement at scale.

Ep4 Telco: Demonstration - Google Cloud Industry AI Symposium

Maximizing Value Potential Using Advanced Analytics at stc

Discover how Saudi Telecommunication Company (stc), one of the region’s leading telecom providers, is driving innovation across customer engagement, network planning, and operational efficiency using advanced analytics and AI.

In this session, you’ll learn how stc applies next-best engagement and next-best offer analytics to drive upgrades, upsells, cross-sells, and reduce churn—delivering highly personalized experiences at scale. Using Teradata Vantage™ and ClearScape Analytics™, stc integrates structured and unstructured data across voice, digital, and mobile channels to uncover real-time behavioral insights.

 From Generative AI-powered journey analytics that improve first-call resolution to computer vision on satellite images that informs 5G and fiber expansion and unlocking new stream of insights from retail videos aiming to uplift customer experience, stc is redefining how data fuels decision-making.

The result? Smarter campaigns, optimized infrastructure rollout, and measurable business impact. stc has not only met but exceeded its KPIs, proving the power of data-driven personalization in telecom.

If you're looking to turn customer data into top-line growth, this is a session you won’t want to miss.

Read more about this customer success story here: https://www.teradata.com/customers/stc-innovating-in-ai

Ep3 Telco: Customer Presentation (stc) - Google Cloud Industry AI Symposium

From Complaints to Clarity: Uncovering Hidden Trends in Telco Customer Feedback 

This session demonstrated how Teradata helps Telcos turn customer complaints into valuable insights. By analyzing customer feedback, we revealed hidden trends and patterns, allowing companies to understand and address customer experience challenges more effectively. We showed a demo of an interactive dashboard that provides a clear, real-time view of these trends, helping decision-makers improve customer satisfaction.

Discover how Teradata's unique GenAI based approach ensures reliable and consistent results, making it an essential tool for the telecommunications industry.

Ep2 Telco: Use Case - Google Cloud Industry AI Symposium

Organizations are under increasing pressure to quickly deploy valuable generative AI applications and demonstrate a strong return on investment (ROI). However, deploying gen AI comes with significant challenges such as selecting the right large language model (LLM), while ensuring data security, privacy, and cost control. 

The Bring Your Own LLM (BYO-LLM) capability within Teradata VantageCloud offers a streamlined approach to experimentation, deployment, and performing inference using LLMs directly within the database. This capability reduces complexity and costs, while ensuring that developers and data professionals retain complete control over their data in a secure, flexible and trusted environment. 

Join our live demo to see how to bring Hugging Face open-source language models into Teradata VantageCloud and supercharge unstructured text analysis with GPU acceleration — right where your data already lives. 

We will explore: 

- Setting up VantageCloud: Configuring analytic GPU compute groups and connecting using teradataml
- Model deployment and inference: Step-by-step guide on downloading and deploying the 'tner/roberta-large-ontonotes5' model from Hugging Face and conducting batch inference jobs for entity recognition
- Extracting insights from unstructured data: Demonstrating how to analyze texts, emails, PDFs, customer communications, call center transcripts, and other forms of unstructured data to extract valuable insights

Demo 17: Unstructured Text Analysis With BYO-LLM and NVIDIA GPUs on VantageCloud

Sports organizations often struggle to understand and engage their diverse fan bases, missing opportunities for personalized experiences and revenue optimization. This challenge isn’t unique to sports: Organizations across various industries face similar difficulties delivering deep individual customer insights in a timely manner, despite the growing investment in customer data platforms.

By leveraging insights that sports organizations are now gaining, other industries can enhance customer satisfaction and optimize their engagement strategies, too.

Teradata Vantage™ provides a unified view of customer data, while ClearScape Analytics™ provides advanced analytics to analyze multitudes of interactions, delivering personalized experiences and increasing satisfaction.

Join this live demo to learn practical strategies for harnessing data to enhance fan experiences, so you can stay ahead of the competition.

Find out how to:

- Segment fans into distinct clusters based on behaviors, preferences, and demographics to tailor marketing strategies and enhance personalized fan experiences
- Quickly and easily identify and eliminate friction points in customer journeys

Demo 16: Enhancing Sports Fan Engagement With Data-Driven Insights

Agentic and generative AI use cases rely on vast amounts of unstructured data, including text, audio, PDFs, and videos, often involving millions of objects. This could result in billions of inferences. These use cases also need to leverage structured data for operationalization purposes.

Teradata Enterprise Vector Store efficiently handles both structured and unstructured data, enabling companies to scale and build toward an agentic AI future for dynamic customer experiences and more. By integrating seamlessly with enterprise data, it reduces data movement and maximizes value. 

Join our live demo to see Teradata’s Enterprise Vector Store in action as we demonstrate a generative AI use case for state-of-the-art call center augmentation, featuring our partnership with NVIDIA.  

Learn how to: 

- Ingest PDF documents
- Generate embeddings 
- Perform intelligent search and retrieval
- Integrate with operational data

Demo 15: Agentic and Gen AI Use Cases With Teradata Enterprise Vector Store

Open LLMs offer a transformative solution for many use cases. Teradata's innovative capabilities allow you to implement generative AI within Teradata VantageCloud Lake environments through Bring Your Own LLM (BYO-LLM). With this technology, you can deploy open-source LLMs in the same environment where data resides, utilizing scalable, dependency-isolated, and highly parallelized environments. During this demo, you'll learn how to create your Open Analytics Framework environment in VantageCloud Lake, deploy open-source LLMs from Hugging Face or other open-source LLM publishers or aggregators and seamlessly operationalize your deployed LLMs for inference on your unstructured data.

Demo 14: Leverage the Power of Open LLMs With VantageCloud

In this demo, we'll discuss how to overcome this data fragmentation and accelerate AI innovation in a siloed data and application environment. With Teradata VantageCloud Lake and QueryGrid, organizations can integrate and leverage all their data, better positioning them to adapt, evolve, and thrive in the face of uncertainty. This demo features QueryGrid and Open Table Formats (OTF).

Demo 13: Overcoming Data Fragmentation to Unlock AI Innovation

Organizations face significant challenges in the analytics lifecycle. Teradata's ClearScape Analytics offers a robust solution to these challenges with a comprehensive suite of in-database functions designed to accelerate analytics at scale. In this demo, we'll explore ClearScape Analytics functions and demonstrate practical applications.

Demo 12: Drive Fast, Reliable Insights With In-Database Analytics

This recorded demo shows how Teradata can help you streamline data preparation and optimize ML workflows so you can deliver impactful insights to maintain your competitive edge. It showcases Enterprise Feature Store (EFS), AutoML, and Widgets.

Demo 11: Boost Data Science Productivity With Scalable AutoML and Code Automation

In this demo, we'll demonstrate how you can use VantageCloud's generative AI capabilities to improve customer retention by quickly analyzing and resolving customer complaints. Although this example is related to banking, the use case is applicable to many other industries. This content is also available at https://www.teradata.com/resources/fast-track-customer-complaint-resolution.

Demo 10: Fast Track Customer Complaint Resolution with Gen AI

This demo features Teradata's new conversion tool, pyspark2teradataml, to seamlessly migrate PySpark workloads to an equivalent format that works in Teradata Vantage with minimal additional coding. During the demo you will see a step-by-step implementation of a workflow using a PySpark-based use case entirely on a Vantage system. With this approach, data scientists can leverage Teradata's truly multi-cloud architecture to develop, train, and score models while limiting data movement from tools such as Databricks.

Demo 9: Migrate PySpark Workloads to Teradata to Fast Track AI/ML, Minimize Costs

This 30-minute live demo will demonstrate VantageCloud Lake's financial governance features and show you how to use the Console to gain greater visibility into costs - and centralized control over the financial governance of the entire organization.

Demo 8: Simplify Cloud Cost Governance With VantageCloud Lake

This demo provides detail on VantageCloud Lake console built-in data insights and visualizations. See how Teradata VantageCloud Lake and ClearScape Analytics provide native in-database functions to deliver rapid and scalable data insights for the largest datasets stored in data lakes, warehouses, or lakehouse architectures.

Demo 7: Get Bettter, Faster Insights With In-Database Analytics

With Teradata VantageCloud and ClearScape Analytics, you can reveal crucial insights about key moments in your customer journeys to deliver more relevant, authentic, and frictionless experiences every step of the way. During this live demo, see how you can: quickly and easily identify and eliminate friction points in customer journeys; analyze customer interactions to determine conversion, abandonment, or churn; build and operationalize AI/ML models that enhance customer experiences; uncover opportunities to increase revenue, acquire leads, and improve conversions.

Demo 6: Pinpointing High-Impact Moments in Your Customers' Digital Journeys

During this live demo, you'll see some of the most exciting new use cases for generative AI natural-language interfaces and LLMs. This demo features ask.ai.

Demo 5: Improve Customer Experiences and Maximize Data Productivity with Generative AI

Watch this live demo to see how Teradata VantageCloud and ClearScape Analytics™ simplify AI operations so you can accelerate AI innovation, reduce cost and friction, and fast-track time-to-value throughout your organization.

Demo 4: Seamlessly Operationalize and Share AI/ML Models

Watch this live demo to see how Teradata VantageCloud and ClearScape Analytics™ offer data practitioners the flexibility to leverage the widest range of modeling tools and technologies, enabling enterprises to drive more breakthrough growth, performance, and value from AI/ML projects.

Demo 3: Enabling Agility & Scale in Model Building and Evaluation

In this video, we’ll explore VantageCloud Lake’s self-service console and key features that IT admins, data engineers, data analysts, and data scientists can leverage to innovate faster, scale smarter, and govern better.

Demo 1: Getting to Know VantageCloud Lake

Accelerate Innovation with VantageCloud & ClearScape Analytics

Find out in this video how to solve challenges in the data science lifecycle with Teradata VantageCloud.

Demo 2: Optimizing Data Prep for Advanced Predictive Modeling

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Demo 2: Optimizing Data Prep for Advanced Predictive Modeling

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Teradata – Enterprise Data Analytics