Name: Modernizing Your End-to-End Supply Chain with AI/ML
Start: 2024-04-11T12:58:00Z
End: 2024-04-11T12:58:37.000Z
Location: BrightTALK
Rating: 0

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.

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

Agentic and Gen AI Use Cases With Teradata Enterprise Vector Store

Learn how Teradata, Amazon Web Services (AWS), and the New York Giants deliver a unique fan experience.

Join executives from the New York Giants, Teradata, and AWS for a roundtable discussion. Discover how the New York Giants utilize advanced analytics to create captivating game-day experiences that keep fans returning.

Today’s sports fans expect a seamless and exceptional experience—whether they're purchasing tickets, buying merchandise, or using mobile apps or other stadium services. To meet these demands, sports organizations must rapidly collect, connect, and analyze data from multiple touchpoints. The New York Giants lead the pack with Teradata VantageCloud Lake on AWS, connecting data across touchpoints with customer clustering and dynamic pricing capabilities. Explore how their blend of technical expertise and real-world application delivers exceptional fan experiences and drives measurable business results.

Watch now and learn how Teradata and AWS can help your organization:

- Modernize your enterprise with flexible, open, and connected data platforms, like Teradata VantageCloud Lake
- Leverage predictive and prescriptive analytics through Trusted AI
- Achieve accelerated innovation and improved productivity with a future-ready data strategy

Don't miss this opportunity to learn from industry leaders and gain valuable insights into elevating your organization's analytics strategy.

Advanced Analytics Drive New York Giants Fan Experience

The increasing complexity of data platforms due to recent market drivers presents a challenge for organizations to accelerate digital transformation programs, enable a data-driven culture, and increase business value from data investments while mitigating risks associated with data use.

To address this challenge and empower C-suite executives to enable and accelerate their strategies more safely and securely, Teradata has developed the DataDNA service. DataDNA uses a metadata-driven approach and automation at scale to provide cross-platform data forensics.

Join this live demo to discover how cross-platform data forensics can empower:

- CEOs to accelerate digital transformation
- CDOs to optimize data governance strategies
- CIOs to streamline IT infrastructure with reduced costs and risk
- CROs to identify data control gaps and improve risk management

During this demonstration, you’ll explore: 

- AI/ML automated mapping to reveal where a business glossary term is located across your ecosystem’s platforms and applications
- The tracing of a report column’s technical lineage to its data sources, including each step and transformation along the way
- Lineage automatically derived from source code and usage logs
- Personally identifiable information (PII) and General Data Protection Regulation (GDPR) protected data elements identified and highlighted end to end
- Usage of analytic dashboards to discover who, when, and how data is used across the ecosystem
- How detailed impact analysis aids migration and modernization, automatically identifying opportunities for ecosystem simplification, optimization, and decommissioning to reduce cost, risk, and inefficiencies

Revealing the DNA of Data to Simplify Data Strategy Initiatives

Are you aware that 95% of financial services organizations reported an increase in cyberattacks last year?

Discover how to tackle this challenge in 2025 with insights from Teradata and Thales.

Join us as we delve into the latest data security trends, challenges, regulatory compliance mandates, and expert recommendations from the latest Financial Services Data Threat Report. We will discuss the evolving role of AI, regulatory compliance, and how Thales and Teradata’s joint solutions can help your organization navigate these changes and overcome security challenges.

Webinar Highlights:

• Thales Data Threat Report Financial Services Edition: Gain insights into the evolving security threat landscape, challenges, and strategies for protecting data across cloud, on-premises, multi-cloud, and hybrid environments.
• Platform Complexity and GenAI Integration: Understand the complexities of integrating GenAI into security products and services in 2025.
• Cybercrime and Compliance Solutions: Learn about effective solutions for financial organizations to combat cybercrime and stay compliant with regulations.

Financial Services Security Trends & Challenges in 2025 – with Teradata and Thales

As a data professional, you want to build solutions that help your company and customers. 

There is significant value in unstructured data stored in formats such as text, audio, and more, which you can leverage to achieve this goal. 

Advanced Large Language Models (LLMs), like Google’s Gemini, can simplify the process of introducing structure into unstructured data, enabling individuals and organizations to derive insights that better serve their customers. 

Join Janeth Graziani, Developer Advocate, Teradata and Merlin Yamssi, Lead Solutions Consultant AI/ML CoE, Google Cloud, as they explore, demo, and discuss how data analysts, engineers, and scientists, can leverage Teradata VantageCloud and Google Cloud to accelerate your AI innovation from development to production.  

Janeth and Merlin are excited to share how you can: 

- Get faster results from your AI/ML initiatives by quickly building and training ML models with Vertex AI and the powerful in-database analytics functions of ClearScape Analytics 
- Easily build and deploy powerful gen AI solutions with Teradata VantageCloud Lake, Vertex AI, and Gemini 
- Transform customer complaint management through advanced generative AI for precise and automated classification. Janeth will give a complaints classification demo which leverages Teradata Vantage and Google Gemini. 
 
Kate Russell, technology journalist, will moderate this webinar and make sure your questions are addressed by our experts.

Accelerate AI Value with Teradata and Google Cloud

As a data professional, you want to build solutions that help your company and customers. 

There is significant value in unstructured data stored in formats such as text, audio, and more, which you can leverage to achieve this goal. 

Advanced Large Language Models (LLMs), like Google’s Gemini, can simplify the process of introducing structure into unstructured data, enabling individuals and organizations to derive insights that better serve their customers. 

Join Janeth Graziani, Developer Advocate, Teradata and Merlin Yamssi, Lead Solutions Consultant AI/ML CoE, Google Cloud, as they explore, demo, and discuss how data analysts, engineers, and scientists, can leverage Teradata VantageCloud and Google Cloud to accelerate your AI innovation from development to production.  

Janeth and Merlin are excited to share how you can: 

- Get faster results from your AI/ML initiatives by quickly building and training ML models with Vertex AI and the powerful in-database analytics functions of ClearScape Analytics 
- Easily build and deploy powerful gen AI solutions with Teradata VantageCloud Lake, Vertex AI, and Gemini 
- Transform customer complaint management through advanced generative AI for precise and automated classification. Janeth will give a complaints classification demo which leverages Teradata Vantage and Google Gemini. 
 
Kate Russell, former BBC moderator and technology journalist, will moderate this webinar and make sure your questions are addressed by our experts.

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 deploy AI Unlimited on-demand to enable seamless access to unified data across different silos, providing a single source of truth for analytics. We demonstrate this with an experimental workflow that combines generative AI and open-source capabilities with traditional ML to unlock faster insights and solve real-world business issues.

Accelerate Innovation with AI Unlimited on Microsoft Fabric

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

Are you ready to revolutionize the energy sector? Join us for an exclusive virtual webinar: “Energizing Tomorrow: How to unleash Data, AI & Analytics for a Green Future”. In today's rapidly evolving energy landscape, staying ahead of the curve is not just an advantage—it's a necessity. This webinar is your gateway to harnessing the full potential of data analytics and AI in supporting the critical energy transition. 

Can't make it live? Sign up anyway, and we'll send you the recorded session!  

This webinar will be held in English and French.  

Why you can't miss this: 

- Energy Sector Challenges: A Deep Dive – Discover how to tackle the most pressing challenges in the energy sector  
- The Power Trio: Data, Analytics, and AI in Action – Learn to leverage data, analytics, and AI for transformative solutions 
- Envisioning "A Connected Utility" – Explore the concept of "A Connected Utility" – the north star of energy innovation 
- Live Demo: Experience a live demo showcasing real-time data preparation and visualization, Python coding at scale, time series analysis on massive energy datasets and much more

Energizing Tomorrow: How to Unleash Data, AI & Analytics for a Sustainable Future

In this video, our experts will take a closer look at Teradata's Al Unlimited workload on Microsoft Fabric.

Pursuing an Open and Connected Data Strategy for Analytic Workloads in the Al Era

In this video, Khaled Mouffok discussed AI facts from industry surveys, AI strategy, sustainability and ways to deliver digital at scale.

Al at Speed Track - SLB: Effectiveness at Scale with Multi-Physics Data

In this video, out 02 Czech Republic experts discuss Cloud, AI and the future. More specifically, topics around data observability, security and lineage, strategic approach to securing important data, data governance, and data and model democratization.

Navigating the Data Analytics Horizon: O2's Cloud-Driven Vision

In this video, our experts discuss all things G2L Logistica's Insights, analysis, and how strategic applications optimize operations.

How Data Drives Efficiency in Logistics

In this video, Anu Maradapu takes you through how to set up and bring together a successful governance program.

Landing a Unified Data Governance Program

In this video, Susan Baskin discussed all things customer advisory, insights, priorities and market insights & trends.

2024 Customer Satisfaction Results

In this video, our experts discuss how VantageCloud scales fast to meet the needs of our customers, the reliability and outage metrics as a platform, and all things Cloud Service Providers (CSPs).

Delivering Operational Excellence in Cloud

Learn about Microsoft's path to AI adoption and the role their partnership with Teradata is playing in that journey. Microsoft also shares their vision for AI transformation and what that means for their customers.

Possibilities of Partnering With Microsoft

Unleash AI Innovation across the enterprise with Teradata and AWS

Transforming Healthcare With Trusted AI

AWS X Teradata: Power AI Innovation with a Trusted Data Foundation

Today's leading manufacturing and CPG organizations are rushing to unlock the power of scalable AI/ML and generative AI to drive profitability. The ability to predict anomalies in supply chain performance at the atomic level and take mitigating actions in real time can be game-changing. By strategically leveraging historical behavior data and current economic stats, supply chain leaders can identify and predict the location of inbound materials, foresee disruptions, and minimize risks. 

Join this webinar to learn how to leverage AI/ML solutions from Teradata and AWS to deliver transformative insights across your supply chain. Industry experts from Teradata and AWS will discuss the ways that leading supply chain organizations are leveraging cloud data and analytics platforms and Amazon SageMaker integration to empower AI innovation and gain a competitive edge.

Modernizing Your End-to-End Supply Chain with AI/ML

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Modernizing Your End-to-End Supply Chain with AI/ML

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