Why of AI

?? 3 Surprising Ways AI is increasing PE Portfolio Value ?? AI’s impact on private equity isn’t just about big data. It’s about practical, high-impact wins that drive immediate value. Here are three areas where we’re seeing AI make a real difference: 1?? Faster, Deeper Due Diligence AI can sift through contracts, customer reviews, and news faster than any team—revealing hidden risks and opportunities during diligence. 2?? Precision Sales Targeting AI helps portfolio companies zero in on high-value customer segments, focusing sales efforts where the revenue potential is strongest. 3?? Operational Efficiency Gains AI-driven automation is streamlining repetitive tasks—from finance to customer support—freeing up teams to focus on higher-value work and improving margins. The takeaway? AI isn’t just for the future—it’s driving results right now. Follow us for more insights on how AI is transforming PE! #PrivateEquity #AI #PE

?? AI is everywhere, but are you using it in the right way? ?? There’s a lot of noise around AI, but jumping in without a clear strategy can lead to wasted time and resources. Here’s what we see all the time: companies chasing AI trends, but missing out on the true business value. ?? The key? Identifying specific AI use cases that move the needle for your business. So, what's holding you back from getting real results with AI? Is it clarity on where to start or lack of expertise? Both? Drop your thoughts in the comments! ?? #AIstrategy #businessgrowth #AI

?? Exciting moments for the AI community! We’re proud of our CEO, Alex Castrounis, for delivering insights at GOTO Copenhagen! ?? Big thanks to the GOTO Conferences team for hosting such an engaging event. If you’re passionate about cutting-edge AI and tech, attending GOTO events is a must.?? #AI #Tech #Leadership #Innovation

?? 80% of AI Projects Fail—Here’s Why ?? AI has massive potential, but most projects fall apart. A new RAND report found that AI projects fail due to poor focus, data issues, and misaligned goals. The solution? A clear AI strategy. Here’s why it matters: ?? Keeps your team focused on north stars, not chasing shiny tech. ? Prioritizes use cases that address the right problems first. ?? Tracks progress and sets clear milestones to measure success. ?? Delivers small, visible wins early, keeping momentum high. ?? Estimate time and costs with more accuracy, avoiding surprises. Check out the RAND report here: https://lnkd.in/ewCzNqv4 A solid AI strategy leads to real results, not just big ideas. Let’s make it happen. #AI #AIstrategy #AIsuccess #DigitalTransformation #whyofai

We’re thrilled to announce that our very own Alex Castrounis will be delivering the keynote at the upcoming YOW! Conferences in Brisbane, Sydney, and Melbourne! AI is everywhere, and keeping up can feel overwhelming. But Alex has spent years helping business leaders turn this AI chaos into clarity. In his talk, he’ll show how to: - Pinpoint the AI use cases that really matter. - Design an AI strategy that delivers real, actionable results. This isn't about technical jargon—just the insights you need to unlock AI’s potential for your business! ? Join us at the summit and enjoy 15% off your ticket with the promo code: castrounis-15 ? Brisbane - Sept 11 ?? https://lnkd.in/g_UXcHda Sydney - Sept 12 ?? https://lnkd.in/gZaZKZaD Melbourne - Sept 13 ?? https://lnkd.in/g5dtvywU Let’s turn your AI chaos into clarity—together! #AI #TechLeadership #AITransformation #YOWSummit #WhyofAI

Sam Altman posted a simple garden photo, but five strawberries in it have the AI world buzzing. ?? Rumor has it that OpenAI's next big thing, codenamed “Strawberry,” is coming soon. This might be a major leap toward AI that thinks and plans like humans. A mysterious new AI model has appeared online, solving problems even GPT-4 couldn’t handle. Could this be our first glimpse of “Strawberry”? With pressure mounting and only a few original leaders left at OpenAI, everyone’s asking: What’s next? What do you think?

JP Morgan Chase is generating between $1B and $4B in annual value from an internal chatbot. It's used by 50,000 people. How can you get this level of value? Let's break it down: Assume the average user's loaded annual salary is $130k: A 15% productivity gain, which is what software support call center reps get from chatbots, is $1B. A 65% gain, like software developers with AI tools, would yield $4B in value. Granted, this excludes development and operating costs but the ROI is in the math! ?? Read more: Stanford HAI Report https://lnkd.in/ecqTYVZ2 McKinsey Insights https://lnkd.in/evBs8z6f Reuters Report https://lnkd.in/eTtRk5nR Turn AI chaos into clarity with Why of AI. Ready to unlock your productivity? Let's talk. ?? #AI #Productivity #Innovation #WhyofAI

Heading down under for the YOW! Conferences, this will be a fun one. #whyofai #ai #aistrategy

How Are Companies Monetizing AI? Here’s What You Need to Know AI monetization is complex, but essential for maximizing ROI. The tides are changing from pure adoption to how big tech is going to be monetizing their innovations.?This graphic from Palle Broe shows the direct and indirect strategies top companies are using: Direct Monetization ?? Add-On: Companies like Zapier, Loom, and Adobe charge extra for AI features. ?? Standalone: Products like Gemini, ChatGPT, and GitHub offer separate AI products. ?? Included in Plan (with price increase): AI features are added with a price hike, seen with Reply and Box. Indirect Monetization ?? Included in Plan (without price increase): Shopify and Zoom integrate AI features without changing prices. ?? Free Version: Wrike provides AI features at no additional cost. Choosing the right strategy is critical. What approach will you take to monetize your AI innovations? Dive deeper into these insights and start refining your AI strategy today. More from Palle Broe here: https://lnkd.in/gjV8FiqN #AI #Monetization #TechTrends #BusinessStrategy

Check out Alex Castrounis in the latest Northwestern University article about his #MBAi program's Applied #AI for Business course! One very interesting fact? Each IndyCar has more than 80 sensors that record and transmit data that is analyzed in real-time. One car can create more than 500 billion data points in one race alone! https://lnkd.in/gFeAcA6g Northwestern University - Kellogg School of Management McCormick School of Engineering #northwestern #kellogg #KelloggLeader