TDWI: On-Demand Data Management Webinars & Training

Upcoming Webinars
International Broadcasts
On-Demand Webinars

Featured Webinars

Building Sophisticated AI Business Applications in the Cloud
In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 2024
From Data Depth to Agentic Heights: Unleashing AI for Business Intelligence
Join this webinar to hear experts from Incorta and aiXplain explain how dynamic, high-velocity data can be combined with AI agents, enabling businesses to gain deeper insights within a secure, well-governed environment. October 30, 2024
Using Data Automation to Ensure Quality and Trust in Your Analytics System
Join this TDWI webinar with TDWI research fellow David Stodder and Paul Watson-Gover from WhereScape to learn more about these points and best practices for data quality success. October 31, 2024

Upcoming Webinars

Expert Panel: Data Collaboration and Sharing
Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of how modern organizations collaborate around shared data and thereby use analytics-infused insights to produce business results. November 4, 2024 Register
Modernizing the Data Environment for AI: Building a Strong Foundation for Advanced Analytics
Join Fern Halper, TDWI’s VP of research, and Tim Long, Global Head of Manufacturing, GTM at Snowflake, as they discuss the modern data environment needed to support advanced manufacturing use cases such as supply chain analytics. November 7, 2024 Register
The Generative AI Revolution: Strategies for Successful Enterprise Adoption and Implementation
Join experts from Informatica, Google, and TDWI as they discuss overcoming the challenges of generative AI in the enterprise. November 12, 2024 Register
Distributed Data Management: Solving Challenges and Maximizing Opportunities
Join TDWI’s VP of Research, Fern Halper, as she explores the results of TDWI’s latest research and moderates a panel of experts discussing best practices for distributed data management. November 18, 2024 Register
Unlocking Business Value Through Secure Data Sharing and Governance
Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of how modern organizations collaborate around shared data and thereby use analytics-infused insights to produce business results. November 19, 2024 Register
Expert Panel: Real-Time Analytics Use Cases and Architectures
In this expert panel, TDWI senior research director James Kobielus will discuss the chief enterprise use cases for real-time analytics and the principal architectural considerations for data, analytics, and IT professionals seeking to optimize their infrastructures for these applications. December 9, 2024 Register

International Broadcasts

Building Sophisticated AI Business Applications in the Cloud (Mexico Time)
In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 14, 2024 Register
Ensuring Governance and Cross-Platform Interoperability with Open Catalogs (Mexico Time)
Join TDWI and Snowflake as they discuss how open source catalogs can help drive interoperability and governance across platforms. November 12, 2024 Register

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.

On Demand

Delivering AI/ML and BI into New Digital Transformation Use Cases

In this panel discussion, TDWI senior research director James Kobielus will engage data industry experts from Impetus and AWS in an in-depth discussion of how AI/ML and BI are driving enterprise business transformation.

James Kobielus

Cloud Data Strategies for Mission-Critical, Distributed Applications

Join this TDWI Webinar to learn how organizations can use modern, NoSQL databases implementing open source Cassandra to meet the data demands of leading-edge, geographically distributed applications.

David Stodder

Virtual Solution Spotlight: Reduce Supply Chain Friction Through the Power of Integrated Data

Expert Panel: Accelerating Cloud Data Modernization

Join TDWI Research VP Fern Halper as she hosts an expert panel with leading vendors to discuss cloud data modernization.

Fern Halper, Ph.D.

Key Components of a Successful Automation Implementation

Join this TDWI webinar to learn more about automation, RPA, and how to ensure a successful automation implementation.

Fern Halper, Ph.D.

Unified Data Platform: Tap into Data and Success

This webinar will discuss how organizations can overcome common data and cloud challenges and take advantage of a unified modern data platform.

Expert Panel: Putting Machine Learning Models to Work in Your Organization

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of how enterprises are putting ML models to work in their organizations.

TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

RESEARCH & RESOURCES

Featured Webinars

Upcoming Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

On Demand

Delivering AI/ML and BI into New Digital Transformation Use Cases

James Kobielus

Cloud Data Strategies for Mission-Critical, Distributed Applications

David Stodder

Virtual Solution Spotlight: Reduce Supply Chain Friction Through the Power of Integrated Data

Expert Panel: Accelerating Cloud Data Modernization

Fern Halper, Ph.D.

Key Components of a Successful Automation Implementation

Fern Halper, Ph.D.

Unified Data Platform: Tap into Data and Success

Expert Panel: Putting Machine Learning Models to Work in Your Organization

James Kobielus

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