Webinars
In depth presentations and panel discussions from IIA leaders, clients and experts on concepts, topics and trends essential for analytics and AI success.
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What’s next for data engineering? As more data workloads move to the cloud, data mesh adoption increases, and data warehouses bring on streaming capabilities, the opportunity is ripe for data teams to transform how they…
For over a decade IIA has set the standard for assessing and progressing the maturity of enterprise analytics. Flash back to the founding of IIA and this meant creating awareness around the power of data…
With the proliferation and sophistication of self-service tools, it is likely your organization uses visually stunning dashboards to track and consume data on a variety of business functions. But to realize the full value of…
From Europe’s GDPR to California’s CCPA, governments have cracked down on privacy in a big way – and this regulation will only escalate as AI becomes more entrenched across industries. Recently proposed and passed laws…
According to NewVantage Partners 2023 survey on data and analytics leadership, there still exists a lack of clear expectations for the CDAO role or equivalent as organizations “struggle to deliver business value from their data…
As organizations faced yet another year of whiplash – from post-pandemic planning to an unpredictable global economy – data and analytics leaders and their teams must consider what lies ahead for the benefit of their…
Building a sustainable data strategy requires cross-organizational alignment that is difficult to achieve. In this session, Kathy Koontz, former Director of IIA’s Analytics Leadership Consortium, will explore people and process considerations an organization should account…
With the rapid advancement of digital technologies, it is impossible to design perfect rules, systems, or processes to manage AI ethics. They would be outdated the moment they were deployed. Instead, data and analytics leaders…
The benefits of AI for enterprise optimization and innovation are widely accepted and yet a paradox exists between AI’s potential and adoption: Survey data shows that up to 90% of AI/ML initiatives fail adoption; 70%…