Vladimir Lukic, a Managing Director at the Boston Consulting Group with 18 years of expertise in AI adoption, discusses the findings of BCG's latest AI report. He reveals that only 4-5% of companies successfully scale AI, emphasizing the need to focus on core workflows and ensure data quality. Lukic highlights the importance of fully embedding AI into business processes and rethinking operating models. He shares real-world success stories, illustrating how proactive strategies can drive effective AI implementation.
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insights INSIGHT
AI Adoption Gap
Only 4-5% of companies effectively scale AI, highlighting a widening gap.
Leading AI companies see 1.5-2x higher growth and return on investment.
volunteer_activism ADVICE
Strategies for AI Success
Focus on core workflows for competitive advantage, not just support functions.
Prioritize fewer use cases (3 vs 6-7) and go deeper for better results.
volunteer_activism ADVICE
Operating Model Overhaul
Rethink your operating model alongside AI implementation.
Adjust incentives, meeting structures, and embed AI into operations.
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In this episode, Marcus Zirn and Vladimir Lukic dive into BCG's latest report, Where’s the Value in AI?, highlighting why only a small percentage of companies are scaling AI effectively. They explore strategies for successful AI adoption, such as focusing on core workflows, optimizing operating models, and choosing fewer but deeper use cases. Vlad also discusses the challenges of data quality, the importance of embedding AI into business processes, and the evolving role of IT and product managers in AI-driven transformations. He wraps up by sharing practical insights and success stories from real-world AI implementations.
Timestamps
00:00 Episode Start
4:10 Overview of BCG's AI Report
10:10 The role of AI agents
18:10 Why good data matters for AI
26:35 Integrating AI into business processes
30:20 Building the right IT and business team for AI
36:37 How AI is shaping traditional IT transformation
39:47 Rethinking AI adoption
Episode Key Takeaways
Focus on core workflows: Identify and prioritize the workflows that directly impact your competitive advantage. AI leaders are targeting mission-critical processes to maximize efficiency and impact.
Rethink the operating model: Implementing AI requires more than just adopting new technology—it demands a full overhaul of your operating model. This includes realigning employee incentives, adjusting meeting structures, and embedding AI deeply into your business operations for long-term success.
Quality data is crucial: AI can only be as effective as the data it’s trained on. Take the time to clean up and review your data sources. Bad data will lead to bad insights, so ensuring your data is accurate and complete is key to success.
Build the right teams: AI integration needs both business insight and technical know-how. Build cross-functional teams with business owners, IT, and data scientists—ideally led by a strong product manager or agile coach—to ensure your AI projects are a success.
Top Quote
“I'm seeing Gen AI over the last two years, just being this trigger or a catalyst to put a lot of these perennial and constant topics visibly on the table.”
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