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Adopting AI In The Enterprise

Discover the top how-tos and challenges discussed by C-level executives at various F1000 companies on how to best bring AI into the enterprise

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Adopting AI In The Enterprise

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  1. ADOPTING AI IN THE ENTERPRISE TOP INSIGHTS FROM THE C-SUITE

  2. 200 SENIOR LEVEL EXECUTIVES FROM F1000 COMPANIES, BRINGING AI TO THEIR ENTERPRISE, RECENTLY GATHERED AT NVIDIA’S AI FOR BUSINESS SUMMIT.

  3. THREE THEMES CARRIED THROUGH THE PEER-DRIVEN CONVERSATIONS.

  4. TOP CONCERNS AMONGST F1000 BUSINESS LEADERS IN ADOPTING AI 1. Building and Supporting AI Teams 2. Selecting and Prioritizing AI Projects 3. Technical and Operational Implementation Challenges

  5. HOW DID YOU BUILD AND SUPPORT YOUR TEAM?

  6. HOW DID YOU BUILD AND SUPPORT YOUR TEAM? • Speed is important. Stay nimble, small teams, and be hyper-focused.

  7. HOW DID YOU BUILD AND SUPPORT YOUR TEAM? • Freedom, flexibility, challenges attract talent. • Provide great tools. • Make data available to everybody.

  8. HOW DID YOU BUILD AND SUPPORT YOUR TEAM? • APIs are the easiest way to get started

  9. HOW DID YOU BUILD AND SUPPORT YOUR TEAM? • AI requires business insights and technology. • Data Science + Business + IT

  10. HOW DO YOU SELECT AND PRIORITIZE YOUR AI PROJECTS?

  11. HOW DO YOU SELECT AND PRIORITIZE YOUR AI PROJECTS? • Pick the right problem! • Choose one thing. One thing could go 50x faster, 100x cheaper with GPU compute. • Prioritize use cases with quick outcomes.

  12. HOW DO YOU SELECT AND PRIORITIZE YOUR AI PROJECTS? • Create a grid: -Low to high business impact (x axis) -Most challenging to best technology available (y axis) Most Challenging to Best Technology Available Low to High Business Impact

  13. HOW DO YOU SELECT AND PRIORITIZE YOUR AI PROJECTS? • Look for decisions that are data-driven. These are ripe for AI to solve.

  14. HOW DO YOU SELECT AND PRIORITIZE YOUR AI PROJECTS? • AI and IoT are synergistic. IoT makes big data problems even bigger.

  15. WHAT ARE THE CHALLENGES ENTERPRISES FACE?

  16. WHAT ARE THE CHALLENGES ENTERPRISES FACE? • The amount of time it takes to put hardware and software together

  17. WHAT ARE THE CHALLENGES ENTERPRISES FACE? • AI is changing the surface area of many roles including IT and business. • AI requires a different delivery model: feeding data to your technology, software writing software

  18. ADDITIONAL INSIGHTS FROM ENTERPRISE LEADERS …

  19. ADDITIONAL INSIGHTS … “AI gives us differentiation.” – Automotive Company “There are cross-industry applications we are seeing from fraud detection to mole detection – every industry can apply AI into some aspect/problem they are trying to solve.” – Software Company “We have to turn into a software company, not a pharma company.” – Pharmaceutical Company “Biggest threat are companies that can leverage vast amounts of data and insight. Unless we get on it, we won’t exist. We have data internally – we can learn from it.” – Healthcare Company

  20. ADDITIONAL INSIGHTS “In order to move fast on AI, we are partnering with all of the greatest universities and leverage the relationships to find the right talent.” – Software Company “Coming to this AI business conference is essential. I have been trying to get my boss to understand why we need to be thinking about AI in our field. I need tools and the content to learn what to do if I am going to help our company adopt AI.” – Industrial Company

  21. JOIN BUSINESS LEADERS IN DISCUSSING HOW TO GET STARTED NOW WITH AI … Visit LinkedIn Group

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