Eric Pilkington

General artificial intelligence for mergers and acquisitions- five steps to get there https://ow.ly/oNPx50XIXC5 #AIForMnA #ArtificialIntelligence #DealMaking #CorporateStrategy #FutureOfMnA #AI

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General artificial intelligence for mergers and acquisitions- five steps to get there https://ow.ly/1Rjz50Xz0PP #AIForMnA #ArtificialIntelligence #DealMaking #CorporateStrategy #FutureOfMnA #AI

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Babak, your comments in Joao-Pierre Ruth InformationWeek piece from Davos, and your BBC News interview this morning, really struck a chord. That article made a strong point that AI was front and centre for business leaders at Davos, while still feeling more peripheral for many politicians. The commercial world clearly sees where this is heading, but the reality on the ground is moving far more slowly. The Wall Street Journal recently noted that AI adoption across companies is still “slow and uneven,” with most organisations stuck in pilot mode rather than real, scaled deployment. Lots of noise. Plenty of decks. Not nearly as much real impact in the day-to-day customer journey. That idea that the future of AI isn’t one giant assistant, but lots of specialised agents working together behind the scenes, feels exactly where things are heading. The retail leaders and agency teams I’m speaking to aren’t asking if they should use AI anymore. They’re asking where it improves service, conversion, and customer confidence right now, especially across the direct-to-consumer journey, and who ultimately owns the first-party data coming out of it. Working from London with the Silicon Valley-based team Mind Over Media , I’m seeing real traction from practical, brand-owned agents that sit inside the customer journey, remove friction at the exact moment it matters, and keep the relationship and the data with the brand. As founders Andy Anderson and Jamie Parker put it: “As commerce moves toward agents and agent-to-agent interactions, every brand will need its own intelligence representing it. We build for the brand, not the channel, so that brain sits with the company, and they keep ownership of the customer relationship, the data, and the commercial outcome.” And this isn’t about replacing people. It’s about giving teams better tools that actually work in the real world. As someone who’s dyslexic thinker, AI has genuinely transformed my day-to-day working life. As Sir Richard Branson often says, it can be a powerful co-pilot, but human creativity still matters most. That balance between human judgement and agent-driven systems feels like the real direction of travel. Much of the work around Mind Over Media AI sits right in the middle of this shift. Let me know what you think? #ArtificialIntelligence #AI #GenerativeAI #AgenticAI #Davos #CustomerExperience #DirectToConsumer #FirstPartyData #DigitalTransformation #Retail #Ecommerce #MarketingTechnology #FutureOfWork

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Services as a Product (SaaP) is becoming central to how IT services create repeatable value and scale outcomes. Looking forward to the conversations at IDC Directions on how IT services continue to evolve in an AI‑driven economy. #IDCDirections

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At the #JPMorganHealthcareConference this week #NVIDIA and #Lilly announced a first-of-its-kind #AI co-innovation lab focused on applying AI to tackle some of the most enduring challenges in the #pharmaceutical industry. The lab brings together Lilly’s world-leading expertise in discovering, developing and manufacturing medicines with NVIDIA’s leadership in AI, accelerated computing and AI infrastructure. The two companies will invest up to $1 billion in talent, infrastructure and compute over five years to support the new AI co-innovation lab. Based in the #SanFrancisco Bay Area, the lab will co-locate Lilly domain experts in #biology, #science and #medicine with top AI model builders and engineers from NVIDIA, allowing them to work side by side to generate large-scale data and AI models that can accelerate medicine development, using NVIDIA #BioNeMo ™ as the critical platform.

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Just finished reading the latest report from MIT Technology Review Insights & Globant: Three-quarters of global pharma organizations are piloting or deploying agentic AI. As the industry races to unlock 𝐨𝐯𝐞𝐫 $𝟏𝟎𝟎 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 𝐧𝐞𝐰 𝐠𝐫𝐨𝐰𝐭𝐡 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬, the report highlights a pivotal shift: agentic AI is moving from being a tool to becoming a true coworker. This aligns perfectly with what we uncovered in our latest research—agentic AI isn’t just about automation; it’s about collaboration and reinvention. Imagine the possibilities: streamlined compliance, smarter patient support, and faster innovation cycles. Learn more: https://lnkd.in/dpFNdyCv How do you see agentic AI reshaping the future of Life Sciences? #LifeSciences #AgenticAI #PharmaInnovation #DigitalTransformation

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