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Glovo pushes shopping into ChatGPT and Claude, AI/R launches AI/Cockpit One for enterprise control, and IBM ties token spend to real ROI with Apptio AI Value & ROI—while Siemens, OSF HealthCare, and Finster AI show AI moving from pilots to production fast. Scroll down to catch the signals that matter.
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.
LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.
The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.
Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
What's in Today?
- 🛒 Conversational retail goes live at Glovo
- 🧭 AI/R puts governance at the center of enterprise AI
- 📊 UBS backs research tooling for finance professionals
- 💸 IBM connects AI spending to business outcomes
- 🏭 Siemens doubles down on U.S. AI manufacturing capacity
- 🏥 OSF HealthCare expands stroke AI across every hospital
- 🦠 MindWalk spotlights an influenza target that resists mutation
- ⚙️ Siemens warns that physics AI still needs human oversight
- ❤️ AI studies in cardiology keep stacking up
- 🏆 Q4 earns top honors for AI in finance
🛒 Conversational retail goes live at Glovo
Glovo has turned ChatGPT and Claude into shopping front ends, letting users describe what they want in natural language, compare nearby options, and narrow results by budget or preferences. The checkout still happens in Glovo, but discovery now starts inside the chat.
This is a clear shift from search-and-scroll retail to AI-guided product discovery.
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🧭 AI/R puts governance at the center of enterprise AI
AI/R’s new AI/Cockpit One bundles access control, security, observability, and cost management into one platform for enterprise AI operations. That mix matters because companies are no longer just adopting models; they need to monitor usage, enforce policy, and prevent runaway spend across teams and tools.
The winners in enterprise AI will be the ones that can control it.
📊 UBS backs research tooling for finance professionals
UBS has invested in Finster AI, a platform aimed at helping financial professionals speed up research, analysis, and content workflows. The signal here is broader than a single funding move: finance firms are increasingly paying for AI that saves analyst time, standardizes output, and improves decision support.
Financial research is becoming a workflow problem AI is built to solve.
💸 IBM connects AI spending to business outcomes
IBM’s new Apptio AI Value & ROI is designed to track AI costs, including token usage, against business results. That kind of visibility is becoming essential as AI budgets grow and executives demand proof that model usage is producing measurable value rather than just higher cloud bills.
AI accountability is moving from dashboards to dollars.
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🏭 Siemens doubles down on U.S. AI manufacturing capacity
Siemens announced more than $200 million in new U.S. factories to expand manufacturing capacity tied to AI infrastructure. The investment points to a second-order AI boom: not only software demand, but also the industrial buildout behind power, equipment, and infrastructure needed to support it.
The AI race is now a factory race too.
🏥 OSF HealthCare expands stroke AI across every hospital
OSF HealthCare is rolling out RapidAI across its full hospital network to accelerate stroke detection and treatment decisions. In acute care, faster imaging interpretation can directly affect outcomes, so this kind of deployment shows how AI is moving from experimentation to frontline clinical operations.
Speed in diagnosis is becoming a measurable clinical advantage.
🦠 MindWalk spotlights an influenza target that resists mutation
MindWalk reported an AI-identified influenza target that remains effective even as the virus mutates. If validated, that would matter because mutation-resistant targets can reduce the brittleness that often undermines drug development and make AI-designed therapeutics more durable over time.
The promise here is less guesswork, more resilience in drug design.
⚙️ Siemens warns that physics AI still needs human oversight
Siemens is also drawing attention to the limits of physics AI, arguing that human control remains necessary in high-stakes settings. That framing reflects a growing industry consensus: even as AI accelerates simulation and engineering, expert judgment still matters when models face safety-critical reality.
The next phase of AI is not full autonomy, but controlled delegation.
❤️ AI studies in cardiology keep stacking up
The European Heart Journal - Digital Health is publishing multiple AI studies on cardiovascular risk prediction, underscoring how quickly machine learning is entering preventive medicine. These papers point to a field where AI is increasingly used to identify risk earlier, stratify patients better, and support more targeted care pathways.
Cardiology is becoming one of AI's most evidence-rich healthcare frontiers.
🏆 Q4 earns top honors for AI in finance
Q4 won "Best Use of AI in Finance" at the inaugural Champions in AI Awards, signaling how financial-services AI is now being judged on practical impact, not just novelty. Recognition like this often tracks where enterprise adoption is maturing fastest: investor communications, analytics, compliance, and client workflows.
Finance AI is moving from experimentation to recognized best practice.
What trends are you tracking? Reply with your take or forward it to a colleague shaping AI strategy.