Akash Kurup’s Post

Gartner notes that despite the release of new generative AI foundation models approximately every 2.5 days, nearly half of CIOs report that AI investments have not met return on investment (ROI) expectations. To bridge this gap, it's crucial to assess your organization's readiness for AI adoption and implement strategic measures to align AI initiatives with business objectives.

IT and AI converging is representing big challenges for enterprise business to prove ROI. Huge initial investment, complex implementations and large risk. For Small and Mid-Sized businesses, its completely opposite. ROI is incredible, solutions are easy to implement, low cost barrier. Your biggest risk is waiting …. #aisolutions #smbAI #techadoption

💡 **Takeaways from the IT Symposium/Xpo Keynote – Reflections from the Manufacturing AI World** 💡 After diving into the recent IT Symposium/Xpo Keynote, I can’t help but feel motivated by the insights shared on making AI work meaningfully across industries. For those of us in the manufacturing AI space, so much of what was highlighted felt spot-on. 🎯 Here are a few standout themes that really resonated: 🔊 **1. Finding the “Productivity Sweet Spot” with AI**: One of the big messages was the need to identify areas where AI can drive the biggest productivity gains—what the Keynote called “deep productivity zones.” In manufacturing, this concept is gold. When AI is focused on the most impactful areas, it’s like adding an extra layer of efficiency and insight that everyone on the floor can benefit from. 🔊 **2. Data Security Done Right**: With the vast amounts of sensitive data in manufacturing, secure and well-governed AI isn’t optional; it’s critical. The emphasis on robust data governance in the Keynote really struck a chord. In manufacturing, where compliance and data integrity are paramount, having AI that respects these boundaries makes all the difference. 🔊 **3. Managing AI Costs as You Scale**: Let’s be real, AI can be resource-intensive, so the Keynote’s focus on cost control hit home. Scaling AI thoughtfully, especially in a high-stakes environment like manufacturing, is essential to ensure that AI’s benefits don’t come with runaway expenses. It’s all about using AI where it has a measurable, positive impact—so every euro spent is justified. These themes reflect a shared vision across industries: that AI should be practical, secure, and sustainable. For anyone in the manufacturing world, it’s inspiring to see these principles reinforced. It’s a reminder that AI’s potential is limitless—when it’s done right ❗ 🌐 Here’s to smarter, more sustainable AI in manufacturing! #AI #ManufacturingInnovation #SmartManufacturing #SmartFactory

To deliver AI outcomes safely and at scale within your organization, you must first determine your AI pace.

Have you seen the Gartner #AI technology sandwich? If you are ready to take a bite of this sandwich, Cranium can help you with Trust, Risk, and Security management. Isn’t the middle of the sandwich the best part??? #AIGovernance #AISecurity #AIForGood

The perfect burger for my fellow AI geeks 🤓🤖 The “AI Technology Sandwich” from Gartner for IT Time to get real on where your business really is with the adoption and success with AI. #AI #Innovation #tech #digitaltransformation #GartnerforIT #Gartner

We would suggest to include a "composable" layer to connect different services for different use cases. You can also consider it integration or workflow layer to manage the different models and quality requirements.

Completely agree! Powerful as it can be, an AI solution can only deliver against what it knows. For AI projects to realize value a strategic approach is required, with data at the core.

New GenAI foundation models are released every two and a half days, yet nearly half of CIOs report that AI hasn't met ROI expectations. Navigate this dichotomy by determining your organization’s AI pace — and taking the right next steps: https://gtnr.it/3YRiibo #GartnerIT #GenAI #CIO #Technology

**Embracing AI: A Thoughtful Journey to Organizational Excellence** In today's rapidly evolving technological landscape, AI's potential is undeniable. Yet, as Gartner highlights, the true challenge lies not in the technology itself, but in how organizations tailor their AI adoption journey to align with their strategic ambitions. Whether you're adopting an AI-steady or AI-accelerated pace, it's crucial to realize that this journey is less about the race and more about the destination. It's about crafting a harmonious balance between technology and human elements, driving not only productivity but also innovation and new revenue streams. A key component of this journey is leveraging AI TRiSM—AI Trust, Risk, and Security Management, developed by Gartner. This framework ensures safe and reliable AI use by addressing risks such as algorithm bias and data security. It includes four pillars: Explainability/Model Monitoring, ModelOps, AI Application Security, and Privacy, enhancing the trustworthiness and security of AI systems across industries. With a strong background in scenario analysis and AI governance, I specialize in shaping digital innovation projects through effective risk management and strategic foresight. My experience includes developing comprehensive digital transformation strategies that not only enhance organizational resilience but also create new revenue streams. By integrating insights from competitive intelligence and data storytelling, I help organizations navigate the complexities of AI adoption, turning potential challenges into opportunities for growth. Ultimately, scaling AI is not just a technological evolution; it's a transformation of business models and workforce dynamics. Let’s navigate this journey with foresight and precision, unlocking unprecedented opportunities for growth and excellence. #AI #Innovation #Leadership #DigitalTransformation #GartnerInsights #AIGovernance #ScenarioAnalysis