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Vendors are racing to coin their own terms or carve out a specific niche when it comes to AI. To be able to select the correct service for your business, you need to understand what all these services mean/entail. This conversation will explore: Similar videos:

Think of it like the national interstate system. Where would this country be without investment in roads? Where will your company be in three years without investment in AI? See more of this conversation in “What AI do you need?”.

See more of this conversation in “The impact of different data types on AI implementation”

See more of this conversation in “The impact of different data types on AI implementation”.

When everything is data, the inputs for AI can be overwhelming. To make sense of the data overload, and ensure you’re feeding the right data into your systems, you first have to ask three important questions: 1. What questions do I want to answer? 2. How will this data help me answer them? 3. Do

See more of this conversation in “Probabilistic vs deterministic systems”.

See more of this conversation in “Probabilistic vs deterministic systems”.

See more of this conversation in “AI risk management”.

AI adoption has a tendency to fall into two extremes: ignoring all risk or being hyper-focused on risk. But there is a middle ground. Engaging with the right AI experts who understand the complexity of the problems you’re trying to solve can help you right size the solution.