Download the slides here>> This webinar is sponsored by: About the Webinar The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace due largely to artificial intelligence. Investments in artificial intelligence will only pay off if paired with organizational change management. Managing this transformation is […]
ADV Webinar: Common Misconceptions About Master Data Management
Download the slides here>> This webinar is sponsored by: and About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. Yet the uptake is not where it should be when considering how enterprises could be benefitting with MDM. This is due to […]
ADV Webinar: Understanding the Modern Applications of Graph Databases
Download the slides here>> About the Webinar Another day, another mind-blowing show of capabilities from the graph database market. Reports feature benchmarks running one trillion relationships where throughput and latency improve linearly with the number of shards that it’s distributed across. There are also demonstrations of a massive knowledge graph that consists of materialized […]
ADV Webinar: What Does Information Management Maturity Look Like in 2023?
Download the slides here>> About the Webinar Maturity frameworks have varying levels of information management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. These are the recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities […]
ADV Webinar: Why Analytics Leaders Deploy Master Data Management
Download the slides here>> About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. What could you accomplish if cultivating customer, product, supplier, and other subjects didn’t have to be part of every project and could be accessed as a service? The […]
ADV Webinar: Competitive Analytic Architectures – Comparing the Data Mesh, Data Fabric, Data Lakehouse, and Data Cloud
Download the slides here>> This webinar is sponsored by: About the Webinar In this webinar, we’ll look at some Data Architecture practices that have emerged in the past few years and are being consciously worked into many enterprise data programs. These are keepers and it will be required that we move towards them, so […]
ADV Webinar: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks
To view just the slides from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the […]
ADV Webinar: Showing ROI for Your Analytic Project
To view just the slides from this presentation, click HERE>> About the Webinar Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return of analytics as well as data lakes, machine learning, master data management, […]
ADV Webinar: 2023 Trends in Enterprise Analytics
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar It is a fascinating, explosive time for enterprise analytics. It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the […]
ADV Webinar: MLOps – Applying DevOps to Competitive Advantage
To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery […]