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Resources

Explore insights from IIA and select content from our research library below. Our content is always independent and driven by our clients’ everyday problems, challenges and initiatives.

2023 AI Legislation and Ethics Best Practices

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.…

Business Intelligence Maturity Framework

IIA developed the Business Intelligence Maturity Framework to make sure you're asking the right questions when analyzing your enterprise BI maturity and guide you toward your BI goals.

Data & Analytics Leadership: Delivering Value Quickly

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…

2023 Analytics Predictions and Priorities

Data and analytics continue to be integral to the success of today's businesses. As we look ahead to 2023, it's important to consider what your data and analytics teams should…

Revisiting Common Obstacles to Analytics Success

What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? This question is…

2023 Analytics Predictions and Priorities

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…

Building a Modern Data Strategy

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…

A Values-Led Approach to AI Ethics in a Global Business

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 They would be outdated the moment they were deployed.…

Mindful AI: A Human-Centered Framework for MLOps

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…


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