Name: Ep 9/9 ClearScape Analytics Experience: Azure ML - Use Case
Start: 2023-11-20T14:21:00Z
End: 2023-11-20T14:21:03.000Z
Location: BrightTALK

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.

When you need to keep data inside a country’s borders, or inside your firewall, but still require all the flexibility and capability that AI can deliver, hybrid and on-prem options make this possible.

In this event, learn how you can leverage the elasticity and innovation that cloud provides without sacrificing sovereignty.

Join us live to explore how sovereign cloud architectures unlock explainable, scalable AI innovation. You will hear directly from Stacy Parrish, Data Governance Program Manager at Delta Community Credit Union, a Teradata reference customer, on why working with Teradata has been a game changer for their business.

Teradata AI Factory is the starting point for enabling private AI solutions and agentic workloads. You don’t need a pure cloud-based solution to deliver AI. Wherever you choose to run your workload, Teradata can deliver.

This isn’t just about technology, it’s about real-world success and lessons learned:

- Practical insights from a leading financial institution
- Strategies for AI innovation within regulatory frameworks
- Live Q&A with industry experts

AI Within Borders: Innovating in a Sovereign Cloud

In today’s data-driven world, automating complex decision-making processes is a key competitive advantage. Multi-agent AI systems—where multiple specialized AI agents collaborate to solve problems—are at the forefront of this transformation.

This session will provide a comprehensive overview of how to design, build, and deploy multi-agent systems on Google Cloud, leveraging the power of Google’s Gemini Enterprise, Google AgentBuilder, and the analytical capabilities of the Teradata MCP server, all orchestrated through Vertex AI Agent Engine.

We will explore the core components of modern multi-agent architecture, including Google’s Agent Development Kit (ADK), the open Agent-to-Agent (A2A) communication protocol, and Teradata MCP Server. Using a conceptual example of a customer journey analysis system, we will demonstrate how specialized agents can collaborate to transform natural language queries into actionable business insights.

Key Takeaways:

How to design, build, and deploy multi-agent systems on Google Cloud

Leveraging Gemini Enterprise, AgentBuilder, and Vertex AI Agent Engine for scalable solutions

Integrating Teradata MCP Server for advanced analytical capabilities

Understanding the Agent Development Kit (ADK) and Agent-to-Agent (A2A) communication protocol

Practical example: customer journey analysis powered by multi-agent collaboration

Architectural patterns and best practices for enterprise-ready multi-agent systems

Inspiration to apply multi-agent AI technology to real-world business challenges

Register today!

Collaborative AI in Action: Foundations for Multi-Agent Systems with Google Cloud and Teradata

2025 was a year of acceleration. As enterprises pushed toward autonomy, five key themes emerged as the backbone of transformation—from AI adoption and agentic workflows to model governance, data sovereignty, and customer intelligence. This webinar offers a high-level look at what mattered most in 2025—and what’s next.

We’ll reflect on the milestones that shaped the year, share expert insights on the technologies gaining traction, and close with a forward-looking vision for 2026 from Teradata’s new chief product officer.

In this session, you'll:

- Understand the impact of five trends that dominated enterprise strategy in 2025
- Hear directly from Teradata experts on what’s driving real business impact
- Learn how agentic AI, model management, and data sovereignty are evolving
- Discover how autonomous customer intelligence is reshaping engagement
- Leave with a strategic lens on what’s coming in 2026

Whether you're shaping enterprise strategy or scanning the horizon, this session will help you connect the dots—and stay ahead of the curve.

Spotlight 2025: The Big Five Shaping Autonomous Enterprise

In this recorded live demo, we'll demonstrate how business users can design, deploy, and manage autonomous customer intelligence—without needing deep technical expertise. This session will walk through how intuitive interfaces, natural language capabilities, and real-time decisioning come together to deliver hyper-personalized, scalable customer engagement across channels.

Autonomous Customer Intelligence - Live Demo

AI That Works Where You Work: resilient hybrid and on-prem AI architectures that deliver results.
AI Where You Need It: Hybrid & On-Premise Excellence
AI That Works Where You Work: Discover how resilient hybrid and on-prem architectures are powering real-world AI success across industries.

Watch the replay and learn from our Teradata expert as he unpacks how to deploy trusted, scalable AI—whether in the cloud, on-prem, or at the edge.

- Real-world use cases
- Enterprise-ready strategies

Don’t miss this chance to future-proof your AI strategy. Watch the replay today

AI Where You Need It: Hybrid & On-Premise Excellence

Telecommunications providers are under increasing pressure to deliver innovation, efficiency, and new customer value—while keeping costs under control. Agentic AI has the potential to fundamentally transform the way telcos operate, but only if it is applied with the right strategy, governance, and execution.

In this LinkedIn Live session, two of Teradata’s global experts will share their perspectives on how to move beyond experimentation and drive measurable business impact with Agentic AI:

Laurent Laisney, Global Telecoms Industry Specialist, will outline the strategic opportunities of Agentic AI in telecoms—covering use cases, dos and don’ts, and how operators can achieve early ROI.

Dr. Chris Hillmann, Global AI Lead, will dive into the practicalities of implementation—what it takes to deploy Agentic AI effectively, how to scale responsibly, and how to turn pilots into enterprise-wide value with Teradata´s Trusted AI solutions.

This interactive session is your chance to hear directly from industry and AI leaders, ask questions live, and gain actionable insights to accelerate your AI journey with confidence.

Agentic AI in Action: The Telco Advantage

Personalization isn’t just a trend — it’s the new standard for customer and patient experiences alike. Whether it’s a healthcare provider tailoring engagement to improve outcomes, or a retailer delivering relevant product recommendations, success depends on turning vast amounts of data into timely, trusted, and actionable insights.

Join Teradata, AWS, and Qlik for a dynamic session that reveals how leading organizations are scaling hyper-personalization across industries. With a spotlight on healthcare, you’ll see how trusted data, real-time analytics, and scalable AI can transform the way organizations connect with individuals — patients, members, or customers — at the moments that matter most.

In this webinar, you’ll learn how to:

- Build a trusted data foundation with Teradata to fuel AI-ready insights
- Deliver real-time, data-driven actionable insights with Qlik.
- Deploy scalable, production-ready AI with AWS tools like Amazon Personalize

Whether you’re focused on marketing, patient engagement, customer experience, or data strategy, this session will show you how to connect the dots among data, analytics, and AI—so you can deliver the right experience, to the right person, at the right time.

Hyper-Personalization at Scale: Turning Trusted Data into Timely CX with Teradata, AWS & Qlik

Leading South Asian financial services and retail bank United Bank Limited (UBL) has implemented an on-premises lakehouse architecture to scale artificial intelligence. The new lakehouse architecture encompasses IntelliFlex® and Dell Object Store, while consolidating and migrating a Cloudera data lake. The AI-ready architecture will advance customer experience and risk mitigation use cases to improve banking experiences for over 11 million customers. In this session, United Bank Limited will share its strategy and journey of an on-premises lakehouse architecture to prepare and enable its AI roadmap via self service and democratized data.

United Bank Limited Implements a Lakehouse Architecture With Teradata and Dell on Its Journey to AI

Mission critical asset performance monitoring relies on data readiness and analytics availability. While the former requires high throughput ingestion capabilities and heavy downstream transformations of heterogenous data to create actionable information through different AI techniques (multi-domain sensor time-series data coupled with business data), the latter must deliver the resulting information in a timely manner with proper user experience through different interrogation techniques including GenAI. In the current presentation we discuss the continuous integration and improvement of the AI process to achieve effective decision making in the context of Prognostics and Health Management for higher asset reliability and availability.

Mission Critical Asset Performance Monitoring Using Industrial AI

Are you ready to explore how cutting-edge geospatial tools empower sustainable development in Brazil? Agro-business stands as a cornerstone of Brazil’s economy, driving growth and prosperity across rural regions. Sicredi, one of the top 10 financial institutions in Brazil, plays a pivotal role in supporting the expansion of agro-business through credit lending. However, with this expansion comes the obligation to verify rural property boundaries (over 8 million) and their proximity to over 2,000 protected forests to ensure compliance with stringent environmental laws. Previously, Sicredi processed and analyzed rural properties against protected forest areas using Databricks. Processing in Databricks often took over 4 hours and resulted in outdated insights for Sicredi credit lenders to take action. Given the reliance of each banking branch on this data, having accurate and timely information was crucial to assessing credit risk effectively. Teradata’s geospatial capabilities transformed Sicredi’s operations by significantly reducing processing times, reducing costs, and enabling trusted credit decisions that comply with environmental regulations. This breakthrough not only enhances operational performance but also positions Sicredi as a leader in sustainable development, earning it prestigious environmental finance and sustainability awards.

Using Teradata’s Geospatial Tools To Protect Forests, Reduce Credit Risk, and Create Sustainable Development in Brazil

In today's data-driven world, the ability to automate complex decision-making processes is a key competitive advantage. Multi-agent AI systems, where multiple specialized AI agents collaborate to solve a problem, are at the forefront of this transformation. This session will provide a comprehensive overview of how to design, build, and deploy multi-agent systems on Google Cloud, leveraging the power of Google's AgentSpace, Google AgentBuilder and the analytical prowess of the Teradata MCP server.

We will explore the core components of a modern, multi-agent architecture, including Google's Agent Development Kit (ADK) and open Agent-to-Agent (A2A) communication protocol along with Teradata MCP Server. Through a practical (conceptual) example of a customer journey analysis system, we will demonstrate how specialized agents can work together to transform a natural language query into actionable business insights.

Attendees will leave this session with a clear understanding of the architectural patterns and best practices for building their own multi-agent systems on Google Cloud with Teradata, and will be inspired to explore how this powerful technology can be applied to their own business challenges.

Building Collaborative AI: Orchestrating Multi-Agent Systems with Google Agent Builder, Google AgentSpace, and Teradata

Join an interactive fireside chat with Verizon, discussing how the leading media and communications provider is approaching platform innovations across hybrid cloud. Verizon’s Head of Data and AI Enablement, Arvind Rajagopalan, and Teradata’s Director of AMS Platform Architecture, Matthew Beaver discuss how teams at Verizon are driving efficiency in its AI and data initiatives.

Architecting Tomorrow’s AI and Knowledge Platforms at Verizon

Join us for an exclusive look at Teradata’s AI strategy and product roadmap, focused on delivering transformative outcomes across industries. We’ll showcase innovations including AI Workbench, AgentBuilder, and AI apps designed to simplify user experiences. Learn how Teradata enables scalable, on-demand compute, industry-best performance for OTF data products, and a unified, intelligent data foundation—powering the shift from traditional EDW to a modern AI-driven platform.

Accelerating AI Outcomes: Teradata’s Strategy and Product Roadmap

Teradata’s Chief Technology Officer and VP of Advanced Research lead this keynote on the path to AI autonomy. They share practical steps and visionary insights for organizations aiming to achieve self-driving, trusted AI systems.

Journey to AI Autonomy: Louis Landry

In this fireside chat, Teradata’s Senior Director of Product Strategy and Google Cloud’s Digital Transformation and Generative AI Innovation Leader to explore how enterprises can unlock value by integrating with Google Cloud’s AI suite. The discussion highlights Google’s leadership in AI innovation and Teradata’s commitment to delivering trusted, scalable solutions. Together, they showcase how combining Teradata’s enterprise-grade analytics with Google’s cutting-edge AI technologies accelerates time-to-value and drives meaningful business impact.

Fireside chat with Google

This interactive keynote features Teradata’s SVP of Worldwide Analytics Sales, dbInsight’s Principal, and Halfpipe Systems’ Principal, tackling tough questions about AI agents. The session demystifies AI agent technology, addressing common concerns and exploring future possibilities.

The Questions You Were Afraid to Ask About AI Agents (and More)

Leaders from AWS and the New York Giants join Teradata’s Richard Petley to discuss their joint AI-powered solution. Teradata’s enterprise-grade platform, combined with AWS’s scalable cloud infrastructure, enables the Giants to unify data across ticketing, marketing, e-commerce, and concessions. Together, they deliver secure, resilient insights through an AWS customer warehouse connected to Teradata’s QueryGrid.

Fireside chat with AWS and the New York Giants

In this fireside chat, a General Manager at Microsoft Azure shares how Microsoft and Teradata are deepening their collaboration to empower customers through trusted, secure, and scalable digital platforms. The Microsoft specialist team plays a pivotal role in guiding partners to build impactful solutions on Microsoft technologies—solutions that drive measurable outcomes and innovation.The session highlights how evolving go-to-market strategies are unlocking greater value from Teradata’s offerings, with a focus on operating at the speed of trust. Security remains foundational to every initiative, reinforcing Microsoft’s commitment to being a reliable and forward-thinking partner in the journey toward digital transformation.

Fireside chat with Microsoft

In this demo, users can learn how to access the ClearScape Analytics Experience platform and perform a self-service demo utilizing the capabilities of ClearScape Analytics Experience. In the Dataiku demo, users will identify the benefits of Teradata's partnership with Dataiku and see how it can help improve the reliability of energy consumption forecasting.

Ep 8/9 ClearScape Analytics Experience: Dataiku - Use Case

In this ClearScape Analytics Experience Use Case Demo on Anomaly Detection, users will understand the most efficient way to detect anomalies in spot welding, using machine learning and time series functions.

Ep 7/9 ClearScape Analytics Experience: Anomaly Detection - Use Case

In this ClearScape Analytics Experience Use Case Demo on Telco Customer Churn, users will identify the factors contributing to the churn, so companies can take appropriate measures to retain customers.

Ep 6/9 ClearScape Analytics Experience: Telco Customer Churn - Use Case

In this ClearScape Analytics Experience Use Case Demo on Broken Digital Journeys, users can learn how to better understand their customer behavior and why purchases are not being made.

Ep 5/9 ClearScape Analytics Experience: Broken Digital Journey - Use Case

In this ClearScape Analytics Experience Use Case Demo on Financial Customer Journeys, users can learn how to better understand their customer behavior and how they convert from acquisition to adoption.

Ep 4/9 ClearScape Analytics Experience: Financial Customer Journey - Use Case

In this ClearScape Analytics Experience Use Case Demo on Financial Fraud Detection, users can learn how to understand their customer behaviour better using machine learning and reduce fraudulent claims.

Ep 3/9 ClearScape Analytics Experience: Financial Fraud Detection - Use Case

This video provides details on using use cases in the Jupyter Hub within the ClearScape Analytics Experience.

Ep 2/9 ClearScape Analytics Experience: Intro to Jupyter

This video is a detailed introduction to the ClearScape Analytics Experience and how to register.

Ep 1/9 ClearScape Analytics Experience: Introduction and How to Register

Demos: Teradata ClearScape Analytics Experience

In this demo, users can learn how to access the ClearScape Analytics Experience platform and perform a self-service demo utilizing the capabilities of ClearScape Analytics Experience. In the AzureML demo, users will identify the benefits of Teradata's partnership with AzureML and see how it can help improve the reliability of energy consumption forecasting.

Ep 9/9 ClearScape Analytics Experience: Azure ML - Use Case

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Ep 9/9 ClearScape Analytics Experience: Azure ML - Use Case

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Teradata – Enterprise Data Analytics