Eli Y. Kling

Transforming mission impact through modern data science. The British Heart Foundation teamed up with Simpson Associates to build a scalable, secure Data Science Environment using Databricks on Microsoft Azure. This powerful platform is helping the British Heart Foundation: -           Automate data workflows and reduce manual effort. -           Make faster, evidence-based decisions. -           Enable real-time collaboration across teams. Watch the full recording from our webinar: https://lnkd.in/eCtUgQsr #Databricks #Azure #DigitalTransformation #BritishHeartFoundation

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Unlocking Life-Saving Insights with Data. British Heart Foundation is transforming how it uses data to fight cardiovascular disease. Partnering with Simpson Associates, British Heart Foundation have implemented the Databricks Data Intelligence Platform on Microsoft Azure, creating a unified, scalable data ecosystem. From optimising defibrillator placement to targeting CPR training, this platform is helping BHF turn billions of rows of data into actionable insights, faster and more efficiently than ever before. Read how data and AI are driving life-saving impact: https://lnkd.in/eq7S_BFS #DataForGood #MicrosoftAzure #Databricks #DataStrategy

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Public services can only do so much while they are stuck with legacy systems From health and policing to charities and central government, organisations are rethinking how they unify, govern and activate their data to deliver better outcomes for citizens. Watch this on-demand session to explore how Databricks is helping public sector teams build scalable lakehouse platforms, accelerate insight and collaborate securely across the full data lifecycle. Featuring real world lessons, including innovation from British Heart Foundation, the session shares practical approaches to governance, engineering, analytics and AI. Watch the recording now: https://lnkd.in/e-btbWNG #PublicSector #DataStrategy #Databricks

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Position data ethics as a strategic advantage: adopt clear, practical policies that build customer trust, reduce compliance friction and protect revenue as you scale analytics. When you prioritise transparent data handling and purpose-driven governance, regulators are easier to satisfy and customers are more likely to engage and remain loyal. Aidentity.uk helps businesses translate ethical principles into operational controls, so your analytics programmes grow with confidence and competitive differentiation. Discover how to turn ethics into business value: https://wix.to/oWsXmli #DataEthics #Trust #AI

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Google’s Gemma AI is pushing the boundaries of cancer therapy discovery by leveraging foundation models and multi-modal reasoning. Gemma integrates diverse data - including multi-omics, molecular graphs, and clinical information - to predict patient responses to therapies and identify promising drug candidates with significantly improved accuracy. The system demonstrates over 25% better performance in predicting therapeutic outcomes and achieves up to 0.89 ROC-AUC in drug efficacy predictions across multiple cancer types. By combining complex biological insights with AI-powered trajectory prediction, Gemma accelerates drug discovery timelines and enhances the potential for personalized cancer treatments. This breakthrough highlights the transformative role of AI in advancing biomedical research and improving patient care. Read the full story: https://lnkd.in/gf-A_BPM #AI #CancerResearch #DrugDiscovery #BiomedicalAI #FoundationModels #MachineLearning #GoogleResearch #HealthTech #Innovation #Gemma

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Recent findings from the Open Data Institute (ODI) concluded the UK government still requires a consistent definition of data literacy, and that there’s not enough emphasis on the non-technical skills also involved in understanding and communicatin... https://lnkd.in/eTERfYeH #businessintelligence #Analytics #DataManagement

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One of the many reasons this year's #Flagship2026 from Women in Data®is going to be better than ever ❤️

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Here are some thoughts that got published in the last AphA Analysts magazine… Why the way that our organisations ask data professionals for work matters, and needs to change. AphA Analysts Chief Data and Analytical Officers Network Emma Wright Jane Johnston LFEDIP Huw Davies, PhD Marc Farr Andi Orlowski Matt Hennessey Chris Green Neil Pettinger jack.rodber _

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The UK public sector is stuck in a data mess. Not because of a tech shortage — but because it still runs on scripts. The future? Autonomous data agents. They don’t just automate tasks. They achieve outcomes. → Clean data → Faster insights → Less manual work Engineers stop coding. They start commanding. This is the agentic shift. #AgenticAI #AIagents #PublicSectorInnovation #GovTech #DataOps #DigitalTransformation #AutonomousAI #AIinGovernment #AIforGood #SmartData #RplusAnalytics

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Love may be in the air, but great data partnerships are built on trust, clarity, and a well-modelled semantic layer 💙 Looking for a data partner who truly gets you? Let’s talk: swfta.uk/hello #ValentinesDay #LoveLanguages #DataHumour #AnalyticsLife #CleanData #DataLove #DataProfessionals #MicrosoftPartner #SwiftAnalytics

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Data has never been more important, but being important isn’t the same as being valued. In the latest episode of Hub & Spoken, Jason Foster, CEO & Founder of Cynozure, is joined by Roisin McCarthy, Founder of Women in Data®, to discuss a skill many data leaders were never trained for - entrepreneurial thinking. They explore why strong technical work often fails to translate into commercial impact and why expectations of data leaders are shifting. The conversation touches on: → Why data leaders are increasingly judged on value and outcomes, not just delivery → The reality of selling ideas internally, securing investment and knowing when to pivot → How product thinking, values and accountability shape better decisions over time A clear theme runs through the episode: if data teams can’t articulate why their work matters, they’ll struggle to be prioritised, especially when budgets tighten. 🎧 Listen here for the full conversation: https://lnkd.in/ezBiimYY #DataLeadership #EntrepreneurialMindset #DataStrategy

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LLMs are powerful tools, but are they really the gateway to AGI? Richard Sutton, widely regarded as a pioneer of Reinforcement Learning believes they are far from it. In his 2019 article "The Bitter Lesson", Sutton argued that over time, methods that scale with computational power tend to beat approaches that rely on human-crafted domain knowledge. At a glance, this seems to suggest that LLMs fall into the first category as they are a product of massive amounts of compute; however, they lean towards the latter as they incorporate curated data, supervision and RLHF across the training pipeline. Recent developments also suggest that simple scaling rules (e.g. Kaplan's scaling law) have real limits and nuances. In a market saturated with LLMs, Sutton offers a refreshing, first-principles take on intelligent systems. Well worth a watch, kudos to Dwarkesh Podcast for the interview. https://lnkd.in/gqADcTpF

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What is "data governance"? It's the weekend, and I found myself thinking about the time my sister spent working with Damien Hirst on his famous Spot Paintings. Damien Hirst's Spot Paintings work on a deceptively simple principle: no single dot means anything alone. Its meaning emerges from its position within the grid, its colour relative to every other colour, and the rules governing the whole — no colour repeated, every dot the same size. But a single Spot Painting can fetch $500,000 at auction. Not because any individual dot is valuable — the paint is cheap, the canvas is standard — but because the system that organises them creates something whose value vastly exceeds the sum of its parts. Data is the same. We have become comfortable talking about data as an asset — but a raw data point, on its own, is worth very little. What creates value is the rules, the connections, and the context: who can access it, under what conditions, for whose benefit, and with what accountability. That is what data governance actually is. Not just a compliance framework. Not just a legal obligation. It is the political architecture through which societies decide who controls the conditions under which data becomes information — therefore determining economic and political power. This week, my team and I had a planning workshop and we decided to discuss the basic question: what is data governance, really? I wrote up my thinking in a short blog post. I'd love to hear your views — especially from those working at the intersection of digital policy, AI, and development. https://lnkd.in/dzPbC-8g

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Ever since Sadie St Lawrence and I connected years ago for some collaboration with Women In Data™️, I've always admired her passion and expertise for data science and AI, and it's been really inspiring to follow her journey. This is why I was so excited to see her publish the book "Becoming an AI Orchestrator" and as expected it was a great and insightful read for many reasons. As a fellow musician, I really enjoyed the music analogies of how knowledge workers need to shift from being a musician to be an orchestrator, and why being an "orchestrator" is more critical than being a "conductor" in todays times. Other highlights for me were: 👉 The overview of Gen AI application categories across creative tasks, analytical tasks and hybrid tasks 👉 The implications of different types of intelligence for our relationship and interactions with AI 👉 The concrete examples of applying AI in different business functions 👉 An iterative process for AI adoption that starts with identifying human tasks 👉 How to get started in defining the right AI guidelines and policies, including an important part about how to address Bias 👉 A playbook on how to thrive in the age of AI by following certain golden principles Across the entire book Sadie mentions lots of her experiences and stories of how she uses AI in her day to day, which together with other parts shows us a truth that I couldn't resonate more with: doing the right and valuable things with AI starts with every single individual. And reading this book will definitely help you do that. I highly recommend this book to anyone who wants to know how to use AI to enrich their life, their career and our collective future - which ideally should be everyone. #aistrategy #book #tiankaistuff

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Are you planning any data projects this year without first strengthening your data governance? 🏦 When organisations push ahead with analytics, reporting, or AI they often find that unclear ownership, inconsistent definitions, and poor data quality slow everything down. Strong data governance provides the trust, control, and clarity needed to deliver value safely and at pace. If governance has been “on the list” for a while, 2026 could be the year to turn it into a real capability. Learn how Agile helps organisations build practical, scalable data governance: https://lnkd.in/eRG4gC92 #DataGovernance #TrustedData #RegulatoryCompliance #DataManagement #UKPublicAndPrivateSector

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