TDWI: On-Demand Data Management Webinars & Training

Upcoming Webinars
International Broadcasts
On-Demand Webinars

Featured Webinars

How Generative AI and Large Action Models Will Transform the Way We Work
In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 9, 2024
The State of Data Governance
In this webinar, TDWI senior research director James Kobielus will discuss key findings from the recently examined data on coherent strategies for data governance. October 14, 2024
Unlocking the Power of Generative AI: 5 Essential Steps to Make It Enterprise-Ready
Join Fern Halper, Ph.D., TDWI VP of research, and Informatica’s GVP of ecosystems and technology, Rik Tamm-Daniels, as they discuss key requirements for transforming generative AI applications into enterprise-grade solutions. October 17, 2024

Upcoming Webinars

From Migration to Modernization: Boosting Your Data Infrastructure for Success
Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024 Register
Driving Data Quality at Scale with High-Performance Observability
In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024 Register
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 Register
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

International Broadcasts

Developing a Modern Data Platform Strategy (GMT Timezone)
Join TDWI’s VP of research, Fern Halper, in a discussion with Snowflake’s director of product management, Josh Klahr, on what to look for in modern data platforms and developing a modern data platform strategy. September 13, 2024 Register
Expert Panel: Improving Data Quality, Accuracy, and Consistency (GMT Timezone)
On September 26, join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools. September 26, 2024 Register
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

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

Five Steps for Accelerating Data Readiness to Improve Analytics and Governance

Join this TDWI Webinar to learn how you can update your technology strategy with modern solutions and methods to accelerate data readiness for better analytics and governance.

David Stodder

Why Automated Data Lineage Is a Must-Have for BI and Analytics

Learn about uses cases for data lineage, especially those in BI daily operations and analytics and how data lineage assists data exploration and discovery, solution development, auditing, data governance, and migrations.

Philip Russom, Ph.D.

What Do Modern Analysts Want?

Join this TDWI webinar to learn more about this emerging role and its importance to your organization. Utilizing results from a recent TDWI survey, Fern Halper, TDWI's VP of Research, and experts from ThoughtSpot will discuss this valuable role.

Six Critical Factors for Machine Learning Success

Machine learning requires the capacity to collect, manage, and access large amounts of accurate and diverse data, the ability to create new features and train models, and must be able to deploy, monitor, and update models in production. Learn about six factors to make machine learning a success.

How to Use Cloud-Based Intelligent iPaaS to Modernize Integration

Learn about this modern and future-facing technology’s compelling capabilities and attributes, including how it leverages the power of the cloud, requires little or no hand-coded programming, and supports new best practices for integration, all from a single unified user interface.

Philip Russom, Ph.D.

Accelerate Hybrid and Multipoint Integration into a Cloud Data Warehouse

Join this TDWI Webinar to learn how you can accelerate hybrid and multipoint integration into a cloud data warehouse.

David Stodder

Maximizing Data Utility by Ensuring Trust in the Data

In this webinar, we consider a holistic approach that blends social and technological methods for assessing data utility and asserting a level of data trust.

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

Five Steps for Accelerating Data Readiness to Improve Analytics and Governance

David Stodder

Why Automated Data Lineage Is a Must-Have for BI and Analytics

Philip Russom, Ph.D.

What Do Modern Analysts Want?

Six Critical Factors for Machine Learning Success

How to Use Cloud-Based Intelligent iPaaS to Modernize Integration

Philip Russom, Ph.D.

Accelerate Hybrid and Multipoint Integration into a Cloud Data Warehouse

David Stodder

Maximizing Data Utility by Ensuring Trust in the Data

David Loshin

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