EP 317: How Enterprise Companies Can Escape the AI Inertia
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Win a free year of ChatGPT or other prizes! Find out out.)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. Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan and Rajamma questions on AI and enterprise)**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)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Steps to Implementing AI in Companies2. Four Pillars of Implementing AI3. Impact and General Perception of AI4. Challenges of AI AdoptionTimestamps:**01:20 Daily AI news04:40 About Rajamma and her role at Microsoft09:11 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.