Turinton AI

From Chaos to Control: Leveraging AI to Tame Volatility in Manufacturing

In today’s fast-paced industrial world, running a manufacturing business feels like navigating a stormy sea. One day, raw material prices spike unexpectedly; the next, energy costs surge or sales channels throw curveballs with shifting demands. These disruptions—volatile material costs, unpredictable energy prices, and complex sales channels—are no longer occasional headaches but the new normal for […]

The Hidden Factory Drain: Using AI to Predict and Prevent Attrition-Induced Production Losses

Every manufacturing operation has invisible leaks that quietly drain productivity and profitability. While managers focus on equipment breakdowns and supply chain disruptions, one of the most costly problems often goes unnoticed until it’s too late: skilled workers leaving the organisation. When experienced operators leave, they take institutional knowledge with them, disrupt team dynamics, and create […]

Breaking Through the Hidden Barriers: Why AI Transformation in Manufacturing Still Fails

Manufacturing leaders know Artificial Intelligence (AI) can transform their operations. The promise is huge—McKinsey research shows manufacturers could capture $1.2-2.0 trillion annually from AI applications. Yet here’s the reality: 74% of companies struggle to make their AI projects work at scale. The problem isn’t what most people think. It’s not about lacking the right AI […]

AI Transformation for Businesses: Industry Playbook for Manufacturing, Logistics, Healthcare, Retail, and Media & Entertainment

Here’s the reality: Almost all companies invest in AI, but just 1% believe they are at maturity according to McKinsey’s latest 2025 workplace AI report. This gap between investment and results isn’t about technology limitations, it’s about approach. AI transformation means systematically rebuilding your business operations around intelligent, predictive systems rather than reactive, manual processes. […]

Why AI Time-to-Impact Is Now a Boardroom Metric: Speed, Spend, and Strategic Value

Why AI Time-to-Impact Is Now a Boardroom Metric: Speed, Spend, and Strategic Value You don’t get a two-year runway anymore. Especially not with AI. For all the excitement over generative models, process automation, and enterprise AI pilots, one question has started showing up at the very top — in boardrooms, in investor meetings, and across […]

The Real Risk in Enterprise AI Isn’t Model Bias—It’s Decision Distance

Executive Summary AI adoption in enterprises is booming. But value realization? That’s a different story. Most businesses are still struggling to turn machine intelligence into business outcomes. The problem isn’t just technical. It’s structural. And it often gets ignored. This Point of View explores the concept of “decision distance”: the gap between AI-generated insights and […]

From Dashboards to Decisions: The Death of Passive Analytics in the Enterprise

You know the drill. You open your dashboard, stare at a sea of KPIs, maybe scroll through five more panels—and then, you still need to decide. What now? What’s the right call? Who owns it? When does it happen? Here’s the thing: information is not the same as intelligence. And in enterprises today, that difference is […]