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The Human Side of AI: The Art of Leading AI Teams and Programs
How to successfully manage uncertainty and deliver innovation What do space and ML programs have in common? Quite a lot! To name a few, high uncertainty, research-oriented nature, improvisation, and many other factors. ML professionals often feel like pioneers exploring the universe for the sake of humanity, where creativity and
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Incentivizing AI
AI in the Future Workplace Artificial algorithms and platforms are great equalizers. They work for large and small enterprises alike; they work for both novice and experienced analysts the same. Artificial intelligence supplements a lot of human judgment and knowledge, and levels the playing field between the workers in a
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Unlocking Enterprise Analytics and AI: AMA Session with IIA’s Expert Network
In this “Ask Me Anything” session, IIA shines a spotlight on its Expert Network to answer your burning questions. IIA manages a diverse community of data and analytics practitioners and experts who give unbiased advice to our clients in 1:1 conversation. Don’t miss this unique opportunity to hear practical advice
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Analytics Leaders Need a Sparring Partner
Analytics leaders face numerous decisions in their multi-faceted role, as described by IIA. To excel, we’ve observed these leaders are at their best when they possess these six core mindsets: Enterprise Mindset: Aligning vision and strategy with business goals.Evangelist Mindset: Connecting analytic insights to real business problems and terminology.Change Agent
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July: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include a research study on AI-driven KPI creation, an article on how to choose a data lake format, and a blog on the state of
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Societal Tradeoffs of AI
Trade-offs As we transition from AI strategies focused on business applications and ascend toward the pinnacle of the pyramid, the socio-economic considerations surrounding AI become increasingly intricate. When contemplating the entirety of society, the economic aspects of AI no longer remain straightforward. The emergence of AI brings forth numerous choices
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Analytics Maturity Transition Guide: Stage 2-3
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Every Journey Needs a Platform
In our series, "Accelerating Your Data Innovation Journey," we've delved into healthcare analytics, fostering startup-like teams with an entrepreneurial spirit, and creating an enterprise MAP (Maturity Acceleration Plan) to guide your journey and showcase value. Now, we'll explore the data, analytics and AI platform (analytics platform for short) – the
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A Fine-Grained Peace Between Business Value and Protecting Personal Data
Driving value through personal data is often framed as a balancing act between robust data privacy and creating business insights, but this is a false dichotomy. One approach for forging a middle-path is securing data and sharing it through fine-grain controls. This allows organizations to both capitalize on the insights
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Field Notes on AI: Make Business Value Your New Bright and Shiny Object
Are you treating AI as the new bright shiny object or the new source of business value? Organizations globally have spent billions and billions of dollars on AI projects over the last several years. Unfortunately, according to a recent TechRepublic study, 85% of those projects failed. The greatest source of