How to Get AI Right: Lessons from Apollo Global Management

Artificial intelligence is no longer optional — it’s a core driver of business value. Explore four insights from MIT Sloan Management Review on how companies are scaling AI from pilot projects to enterprise impact. https://lnkd.in/gXuPYmve

When implementing artificial intelligence, enterprise leaders must consider where AI will create value, not just where it will be useful. https://lnkd.in/gXuPYmve

Before jumping into tools or pilots, start with the why: What problem are we solving? How will it make work better? ➡️ A solid business case turns AI from a trend into real transformation. #HRServiceExcellence #HRTech #HRSharedServices #AI

Every company today is experimenting with AI, but only a few are scaling it intelligently. The real differentiator isn’t technology alone, it’s how businesses connect data, design, and decision-making to drive impact. At Pixeldust, we’re seeing this transformation firsthand. Helping brands move from data-rich to truly insight-driven, and from efficiency to intelligence. In my latest article with ET Edge Insights, I explore how the future will belong not to the biggest companies, but to the smartest ones. 🔗 https://lnkd.in/dsZJkZ94 #AI #Innovation #DigitalTransformation #Pixeldust #Leadership #SmartScaling

AI is transforming industries, but many organizations still struggle to realize its full ROI. In "The ROI Paradox: Two Truths About AI's Progress," we uncover two critical realities: 1️⃣ AI adoption is accelerating, yet measurable business value often lags behind expectations. 2️⃣ Success comes not just from technology, but from aligning AI initiatives with clear business outcomes and change management. To bridge the gap, leaders must focus on strategic alignment, cross-functional collaboration, and continuous measurement. The organizations winning with AI are those who treat it as a business transformation—not just a tech upgrade. https://lnkd.in/gWwPp-wr #AI #DigitalTransformation #BusinessValue #ChangeManagement #Innovation World Wide Technology Tim Brooks

Unlock the potential of artificial intelligence (AI) for your business! This article explores how AI acts as a key driver of digital transformation, reshaping business processes and enhancing operational efficiency. Discover how companies like JD.com leverage AI to optimize logistics and boost productivity, along with actionable steps for SMEs to kickstart their digital transformation journey. #AIFT #InnoHK #FinTech #DigitalTransformation #AI #Innovation #SMEs #BusinessGrowth https://lnkd.in/gJkQ4dV4

According to Forbes, 95% of AI pilots fail. And it isn’t because of the technology. https://lnkd.in/ggQUnpJK This doesn’t mean AI isn’t worth exploring. It means success in an “AI project” comes down to expert strategy and execution. Forbes reported that only 5% of corporate AI initiatives make it past pilot stage with measurable value. The technology isn’t the issue though. It’s poor strategy & alignment, fragmented systems, and chasing trends instead of solving the problems that move the needle. Most businesses look at automating or plugging in AI into the areas that don’t have a significant impact. Then they’re left thinking that them exploring AI was the wrong decision, because of the lack of ROI. Moving fast without strategy can do more harm than good. If change isn’t made in the right areas, you run the risk of it not being accepted or adopted across the business… and that’s where problems can arise. It’s about executing with an intentional strategy that will have buy in across the entire business.

Another AI solution proposal for Improved Efficiency is No Longer an AI Strategy. The Efficiency Improvements are the expected New Normal.🚀 👇🏻 Many organisations with even moderate digital maturity is now embedding #AI somewhere in its processes. 📈The question that will define the winners in the next wave isn’t “Where can AI save us time, money?” - but rather - 👇🏻 🚀“Where can AI help us think, decide, and #GROW business differently - #AI powered Transformation Play” And getting there requires discipline. Not every idea deserves to be “AI-ified.” (Some are merely better automations) The best teams I’ve seen apply the same rigor we use in architecture: clarity of scope, measurable impact, cost visibility, and above all, understanding. TLDR; You cannot automate what you don’t fully understand. 👨💻That’s where #contextEngineering again plays a pivotal role — translating organisational knowledge into machine-interpretable form without losing meaning or intent. Efficiency gains decay fast - as AI Tide raises all boats. Meanwhile It's the #Growth that compounds. When evaluating AI or Agentic projects, I recommend grounding the proposal in a few essentials: ✅ Feasibility: is the process well-understood, measurable, and cost-bounded? ✅ Positioning: does it match the organisation’s maturity — automation vs transformation? ✅ Ownership: are the domain experts driving it bottom-up, where context lives? Efficiency is now Just the entry ticket. Want to discuss more? Grab me or Philip Basford Dimitrios Gontzes Sean Lee Parmita Ghosh for ☕️ to learn more. Meanwhile, here's is my recent post on this very point in a long form https://lnkd.in/eFzAtEMA Andrew Rawling Arvind Pal Singh Tony L. Sean Heshmat Scott Harrison

The Hard Truth About AI Implementation 📊 MIT's new report just dropped some sobering news that every business leader needs to hear. After analyzing $30-40 billion in corporate AI investments, they found that 95% of generative AI pilots are failing to deliver any measurable financial returns. But here's the twist - it's not the AI technology that's broken. It's how we're implementing it. The Real Problem: The Learning Gap Most AI tools don't learn from your workflows, retain feedback, or adapt to your specific business context. They're built as generic solutions trying to fit into unique organizational processes. It's like buying a one-size-fits-all suit and expecting it to look tailored. Where Companies Are Getting It Wrong: • Spending over half their AI budgets on sales and marketing tools • Building internal AI solutions instead of partnering with specialists • Focusing on flashy demos rather than workflow integration • Expecting immediate results without proper organizational learning The Hidden Success Story: While executives chase the latest AI trends, the biggest ROI is actually happening in back-office automation. Companies are quietly eliminating outsourcing costs, cutting external agency expenses, and streamlining operations behind the scenes. What Actually Works: ✓ Purchased solutions from specialized vendors (67% success rate vs 33% for internal builds) ✓ Tools that integrate deeply into existing workflows ✓ Systems that learn and adapt over time ✓ Empowering line managers, not just central AI teams The Bottom Line: Success isn't about having the most advanced AI models. It's about strategic implementation that focuses on learning, memory, and workflow adaptation. Start with one high-value pain point, partner with specialists who understand your industry, and choose tools that get smarter with use. The companies bridging this "GenAI Divide" aren't the ones with the biggest AI budgets. They're the ones with the smartest implementation strategies. https://lnkd.in/eyaQrb35 #AI #ArtificialIntelligence #AIEducation #AIStrategy #AIImplementation #Business #BusinessStrategy #Innovation #AIConsulting #BusinessTransformation #DigitalTransformation

Despite 61% of leaders increasing AI adoption recently, many GenAI projects stall without clear use cases, solid data strategies, and a culture of experimentation.