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If AI is supposed to make things go fast then why can enterprise adoption be so slow? Rajamma Krishnamurthy knows a thing or two about it. She’s the Sr Director, Leader Enterprise AI for Microsoft. So not only is she an actual PRO at helping enterprises grow with AI, but she also works at one of the largest companies in the world that builds the AI we all use.

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Related Episodes:
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

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Topics Covered in This Episode:
1. Steps to Implementing AI in Companies
2. Four Pillars of Implementing AI
3. Impact and General Perception of AI
4. Challenges of AI Adoption

Timestamps:
01:20 Daily AI news
04:40 About Rajamma and her role at Microsoft
09:11 Utilizing search function to quickly find documents.
11:30 AI is an enabler, focus on strategy.
14:14 AI is essential for future business success.
17:21 Form passionate team, understand business, focus areas.
22:56 Data-driven decision-making is crucial for success.
26:53 AI integrated into various non-AI companies.
31:02 Advice on overcoming AI inertia and momentum.
31:45 Embrace AI, experiment, and move forward confidently.

Keywords:
AI implementation, big companies, AI-solvable business problems, architecture perspective, infrastructure readiness, AI adoption education, responsible use of AI, AI in customer support, future job requirements, AI skills, institutional knowledge, decision-making, future of knowledge work, generative AI, business strategy, shared services, US and Japan companies, AI adoption hesitation, AI democratization, small companies, AI development pace, employee training, AI inertia, everydayai.com, podcast subscription, AI models, European Union, AI in health care, Microsoft, AI in Japanese companies.

EP 317: How Enterprise Companies Can Escape the AI Inertia 34:34 Share

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EP 317: How Enterprise Companies Can Escape the AI Inertia