Enterprise AI budgets are growing about 50% a year, but the share of companies reporting any earnings impact has barely moved. In Part 1 of our six-part series, MILL5 explains where AI value leaks between the model and the P&L, and what leading companies do to close the gap.Read More

Even efficient manufacturing plants have room to improve. Here’s how manufacturing leaders can decide which AI use cases deserve investment and turn early results into improvements that last.Read More

A medtech AI model can achieve high test accuracy by recognizing a scanner’s image characteristics instead of the anatomy or abnormality it was trained to identify. When images come from a different scanner, accuracy can drop because the model relied on equipment-specific patterns that its test data did not challenge. Read More

Millie Summary:  The EU Digital Product Passport registry went live in July 2026, passports for certain batteries become mandatory in February 2027, and iron and steel, textiles, aluminum, tires, and furniture follow on a published schedule. U.S. manufacturers that sell into Europe will be asked for product-level data on materials, origin, repairability, and environmental performance...Read More

Millie Summary:  Data ontology gives enterprises a shared operating language for data. Enterprise data challenges are increasingly about context, not access. The strongest ontology programs start with business decisions, not enterprise-wide modeling. Written by Jordyn Geiger, Growth Development Analyst  Most enterprise data programs of the last fifteen years have solved a physical problem: where information...Read More

Millie Summary:  U.S. Equities are expected to move to 23×5 trading on December 6, 2026. Strategy: Exchange-led 23×5 trading (targeted for late 2026) globalizes access to U.S. equities. The firms that win will decide where overnight participation creates client value – and where it creates risk they refuse to take. Build: SIP coverage, order routing,...Read More

Millie Summary:  Venture firms have become increasingly effective at creating portfolio leverage through talent, networks, customers, and operating expertise. Technology, however, is still largely managed company by company. Similar technology challenges often show up across a portfolio, particularly around AI, specialized engineering needs, and growing technology costs. The opportunity will look different for every fund,...Read More

Millie Summary:  AI slop is a warning sign that AI is scaling faster than an organization can manage it, allowing unreliable information to spread across systems and decisions.  Changes to prompts, data, retrieval, and business conditions can gradually reduce performance after deployment.  Keeping AI reliable requires trusted data, continuous evaluation, clear monitoring, and people who...Read More

Millie Summary: Managed services should do more than maintain technology; the right partner should continuously improve cost, reliability, security, performance, and automation. Strong IT partnerships combine 24/7 operations with expertise across cloud, applications, data, and AI while creating more capacity for internal teams to focus on strategic priorities. IT leaders should measure partners by outcomes,...Read More

Millie Summary: AI is reshaping the economics of pharmaceutical R&D by improving scientific decision-making, helping researchers evaluate more possibilities, eliminate weaker candidates earlier, and concentrate expensive laboratory and clinical resources on the opportunities supported by the strongest evidence. For medical-aesthetics manufacturers, the larger opportunity is increasing scientific throughput across the entire product lifecycle, from discovery...Read More