Rajamma Krishnamurthy, a Senior Director at Microsoft and an NYU professor, shares her expertise on overcoming AI adoption challenges in large enterprises. She discusses why speed is often lacking in enterprise AI integration despite its potential. Rajamma emphasizes a culture of experimentation and forming passionate teams to harness AI effectively. She also highlights the need for data-driven decision-making and aligning AI strategies with business goals to ensure future success and competitiveness in the market.
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question_answer ANECDOTE
Copilot for Daily Efficiency
Rajamma Krishnamurthy uses Copilot daily for tasks like finding old documents.
This saves her time and allows her to focus on higher-level work like strategy.
volunteer_activism ADVICE
AI as an Enabler
Focus on business strategy and identify solvable problems before implementing AI.
Start with low-hanging fruit like customer support to see quick wins and gain momentum.
insights INSIGHT
Urgency of AI Adoption
Companies hesitant about AI are already behind and risk falling further behind competitors.
AI adoption takes time and requires patience, but the benefits outweigh the risks.
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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.
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.
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