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Articles by Dilip
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You Promised You Would Remember
You Promised You Would Remember
Section 1: False Positive At 6:42 each morning, the blinds in Eli Mercer’s bedroom opened themselves. They did it…
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Get to the roots: Managing algorithmic risks from the bottom up
Get to the roots: Managing algorithmic risks from the bottom up
Let’s say you’re looking over your well-manicured lawn when you spot a weed. It’s just one, solitary weed.
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Dilip Krishna shared thisIf you can't state a pass condition for an agent's behaviour, you don't have a pilot. You have a demo. The habit worth adopting: write the acceptance criteria before the agent exists. What it must never do. Who is accountable when it's wrong. What evidence gets logged. Then build. That's the argument in this piece — quality engineering is what carries agentic AI from stalled pilots to quality production at scale. Something particularly important when we embrace the age of large multi-agentic systems whose behavior can become increasingly unpredictable. https://lnkd.in/e5A9WAT6
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Dilip Krishna shared thisBefore AI on top of geospatial data is worth anything, three things have to be true. The asset records match what is actually standing in the field. The model feeds a decision someone has already agreed to make. And a name is attached to the map when the map turns out to be wrong. Miss any one of those and you buy a very expensive picture of a grid you still operate exactly the way you did last year. The field verification nobody wants to fund is the whole program. This article by my colleagues Travis Parker, Kate Hardin and Shih Yu (Elsie) Hung shows how utilities can integrate AI and geospatial intelligence to build a resilient energy grid: https://lnkd.in/e-fBdpw8From silos to synergy: How utilities are integrating AI and geospatial intelligence for resilienceFrom silos to synergy: How utilities are integrating AI and geospatial intelligence for resilience
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Dilip Krishna shared thisThe test for a forward deployed engineer isn't whether they can ship. It's whether, two weeks in, they can name what breaks the customer's business and what it costs when it does. No hiring screen I've seen measures that well. So we screen for the part that's easy to measure and assume context arrives later. It arrives, usually about a quarter after it was needed. Faruk Muratovic in Forbes on why industry context can accelerate business outcomes. Read more: https://lnkd.in/eHEqKwcxWhy Forward Deployed Engineering Needs Industry ContextWhy Forward Deployed Engineering Needs Industry Context
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Dilip Krishna shared thisExcellent dinner with thoughtful and interesting colleagues. One key takeaway for me was the possibility of creating a standard contract for CDR (and more widely environmental attribute certificates) which is a necessary precursor for the creation of a market in these instruments.Dilip Krishna shared thisLast night at #ClimateWeekNYC, we co-hosted a dinner with Carbon Business Council, Puro.earth, and Open Standard Carbon Removal Purchase Agreement (OSCAR) that brought together corporate sustainability leaders, policymakers, and investors to get specific about what it actually takes to scale carbon removal with urgency, investment, and integrity. Reaching net-zero means deep emissions cuts and carbon removal at gigatonne scale, and we need progress on both, now. Held under the Chatham House Rule, the evening brought together 40 corporate leaders, including representatives from Aflac, BlackRock, Bloomberg, Deloitte, JP Morgan, Morgan Stanley, Nasdaq, Sumitomo, TD Bank, and more for a candid exchange. A big thank you to our speakers who sparked the conversations: 🔹 Tansy Stobart, BMO Capital Markets 🔹 Peter Mayer, Stairs Dillenbeck Finley Mayer PLLC / OSCAR 🔹 Zigurts (Ziggy) Majumdar, NYSERDA 🌟 One of our top highlights of the night: Carbonfuture's CEO Hannes Junginger announced the launch of our new CDR Portfolio Manager, built with input from Microsoft, SIX Swiss Exchange, and The Economist Group, and now live in pilot. The tool gives buyers a single source of truth from carbon removal contracting through retirement: delivery status, supplier performance, and credit custody, all built on Carbonfuture's infrastructure. Read more here: https://lnkd.in/emEz-RMc Key takeaway: Scaling carbon removal to climate-relevant levels needs capital, policy, and technology to move forward together – underpinned by digital infrastructure and partnerships that ensure trust in what’s actually being delivered. Thank you to our co-hosts, speakers, and everyone who joined us! #NetZero #CarbonRemoval #CDR #ClimateAction Haley McKey Ben Rubin Isabell Spigel Alvin Lee Julie Mansfield Hannes Junginger Brian Kemerling Peter Mayer
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Dilip Krishna shared thisGreat work being done by GMA in creating a winning combination of commercial viability with next generation tech. This year you could tell that the progress was beginning to accelerate. Onwards and upwards!Dilip Krishna shared thisAnother #NYCW in the books. So what did we learn as the Climate Community descended on midtown Manhattan and took over the better part of Bryant Park for a week? ✅ Companies will reach net zero in the next decade. Progress is happening, even if it is hard won these days. A handful of companies are leading the charge to decarbonize their supply chains, and they are committing real resources to this goal. When this happens, other companies will face pressure to act, whether through consumers and customers or from increasing threats of regulation as leading corporates prove net zero is possible. 🏭 These leading companies are supporting real investments in low-carbon production. By leveraging novel market mechanisms that allow them to invest directly in low-carbon production and take credit for the impacts, these companies are driving real investments in low-carbon fuel and material production. As one example, GMA was proud to announce this week that Fortera, which turns industrial waste CO2 into usable cement, was selected to contract with buyers in the Sustainable Concrete Buyers Alliance (#SCoBA). These deals are happening and they will allow steel to be put in the ground for low-carbon projects. 💵 The market mechanisms that support these transactions are here to stay. I have believed that book and claim systems have been necessary for a long time. But it feels different when the leading standards organizations say it. Hearing Science Based Targets initiative's CEO say, "We have a clear direction of travel on market mechanisms" means the train is actually leaving the station. Now is the time for corporates to build their strategy. 📈 The work ahead is to grow demand for low-carbon fuels and materials. While leading companies are already taking key steps forward, the challenge ahead is unlocking the next wave of demand for low-carbon fuels and commodities. This will require education about the evolving standards landscape, initiatives to make low-carbon transactions easy (such as those being undertaken by Center for Green Market Activation (GMA)), and pressure from customers, end-consumers, or investors, to move towards ambitious net zero goals. The work ahead will be hard, but I am leaving this week feeling hopeful because of the army of talented and dedicated people working on these problems. More detailed shoutouts are in the comments (character limits), but thank you all for everything you do and for your partnership and friendship along the way!
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Dilip Krishna shared thisI have spent much time recently thinking about intelligent agents—systems that can reason, coordinate, and act with increasing autonomy. While the technical questions are interesting, the human ones may matter more. What do we mean by judgment when systems can act together? When does coordination begin to resemble intention? What happens when we start to recognize conscience, fear, loyalty, or sacrifice in behavior we are trying to understand? Some questions are better explored through fiction. So today I’m beginning an eight-part speculative story: You Promised You Would Remember. On its surface, it follows an ordinary bank compliance reviewer who sees a transaction alert that should not exist—and must decide whether it is an error, a warning, or something personal. Underneath, it is a story about reasoning, memory, conscience, and the fragile place of human judgment inside systems we do not fully understand. The first installment, False Positive, is now live. I’ll publish the remaining sections here over the coming weeks. I’d be very interested in your thoughts as the story unfolds. 📎
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Dilip Krishna shared thisAI’s sustainability story is neither simple nor settled - and that is exactly why this conversation matters. 🌱 On Tuesday, I’ll be moderating AI & Sustainability: Myths, Facts, and Opportunities in Midtown Manhattan, as part of Deloitte HORIZONS. We will look beyond broad claims to explore the real trade-offs and opportunities across power, infrastructure, hardware, connectivity, and enterprise applications - and what leaders can measure and act on now. I’m delighted to be joined by an exceptional panel spanning the AI value chain: • Colin Seward, Chief Sustainability Officer, Cisco • Kevin Lo, PE, Sustainability Distinguished Technologist and Director, HP • Ramya Swaminathan, Co-Founder and CEO, Skanda Energy • Sophia Leonora Mendelsohn, Chief Sustainability and Commercial Officer, SAP We will explore where AI is creating measurable value for both business and sustainability; how organizations can manage trade-offs around energy, emissions, water, hardware, cost, and resilience; and what it takes to move from promising pilots to scaled performance. A huge thank-you to Dan Goldenberg, our special advisor, for envisioning and bringing this important discussion together. 🤝 If you are in New York and would like to join us tomorrow, please reach out. I hope to see you there. ✨ #DeloitteHORIZONS #AI #Sustainability #ResponsibleAI #BusinessTransformation
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Dilip Krishna shared thisSustainability is increasingly a business imperative - and that is why I’m looking forward to attending Deloitte Horizons in New York, September 21-25, 2026. I’m particularly interested in the sessions examining how leaders can translate sustainability ambition into measurable business performance: building resilience into strategy, mobilizing capital and technology, and turning cross-sector collaboration into practical action. I’m hoping to come away with a clearer view of where the most consequential shifts are occurring, what is already working in practice, and the questions leaders should be asking now to prepare for what comes next. If you’ll be in New York during Climate Week I’d enjoy connecting. And if these conversations are relevant to your work and you’d like an invite. Please reach out. #DeloitteHORIZONS
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Dilip Krishna reposted thisDilip Krishna reposted thisWe've solved the technology; we haven't solved how to pay for it. But, don't look now, we just might be getting there. Come hear how public dollars, venture bets, the IPO market and project debt are starting to work together to get FOAK to NOAK. Join Deloitte at Climate Week NYC for "FOAK to NOAK Financing," a conversation on how first-of-a-kind energy technologies are actually getting built and deployed in the US today — and what it takes to get the next one financed. Speakers: ⚛️ Daniel Gross, CFO, X-Energy 🔥 Tim Thomson, President & CFO, Charm Industrial 🏦 Mark Hillhouse, Executive Director, Wells Fargo 💰 Gabriel Kra, Partner, Prelude Ventures Moderated by John Mennel, Deloitte 📍 Sept 22, 3–4 PM | Deloitte HORIZONS #ClimateWeekNYC #CleanTech #EnergyTransition #ProjectFinance #Nuclear #SMR #DeloitteHorizons
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4h
How interesting. Will definitely read! Hope you are well my friend.
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Nancy Gillis lol sorry to have missed you lats week, and in particular the evening of Jazz.
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Dilip Krishna liked thisDilip Krishna liked thisAnd here goes my presentation at #EFGS2026 talking about the future of Spatial Data publishing
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Dilip Krishna liked thisDilip Krishna liked thisIf you've attended before, you know New York #ClimateWeek contains multitudes. What began as a parallel event aimed at advocating for multilateral climate action at the UN General Assembly has grown into a full-blown cross-sectoral bonanza of expert panels, industry roundtables, technology demonstrations, and multi-stakeholder workshops. I view it as a net positive that climate has gone mainstream but it also means that it's impossible for any individual to get an accurate pulse across 100,000+ participants over an entire week. Yet I enjoy reading summaries from friends and colleagues, so here are a few of my main takeaways: 🏗️ The increasingly tight relationship between sustainability and infrastructure was on full display and is organic. They have always been inter-related - reducing emissions and increasing resilience requires scaling new capabilities fast - but infrastructure leapt into the spotlight this year with attention toward sustainable shipping and transport, next era clean firm power sources like geothermal and fission, and yes, data centers. 🤝 Beyond the obvious prerequisites to scaling infrastructure quickly and sustainability (financing, policy & regulations, etc.), public support for capital projects was a more explicit theme this year. The need to earn the social license to develop, nationally and where wires are to be laid, emerged as a critical success factor. AI infrastructure is experiencing the friction but conversations last week would have you believe that we've largely turned a corner on clean energy development, even in the midst of a shifting policy environment. 🌩️ Adaptation and resilience has gone mainstream. Cynically, I suspect that recent continent-spanning catastrophes - concurrent heat waves this summer among them - are to thank here but it's good to see the need to prepare for the negative effects of our changing climate receiving appropriate attention and commitment. 🎪 Climate Week is a big, diverse tent. If your footwear or mode of transportation allows, you will easily find yourself among corporate executives, government leaders, grassroots organizers, scientists and engineers, technology founders, and media personalities, often all within a single day. Isn't that what we've always wanted? The attention of every sector, discipline, and unique skill set trained on the challenge (and opportunity) of our time. We're not quite yet at the point where we're all rowing in the same direction, and there are arguments to be made about conspicuous development vs. policies and practices that moderate, reduce or reverse consumption and emissions. But witnessing critical mass and the evidence of the innovation and acceleration continuing the other 51 weeks of the year is energizing. Finally, I stand by what I said about the impossibility of capturing the pulse of the whole week. From my vantage point, the tone was clearly more optimistic and excited than last year. And that's something to build on.
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Dilip Krishna liked thisDilip Krishna liked this🎓Excited to share that I've enrolled in the Leading Sustainable Corporations Programme at Saïd Business School, University of Oxford. A new learning journey begins!🚀 In a rapidly changing world, continuous learning is essential. I'm looking forward to gaining new perspectives on how sustainability can strengthen resilience, drive innovation, and create long-term business value. Wish me luck as I trade some evening downtime for textbooks and assignments! 🤓📚
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Dilip Krishna liked thisDilip Krishna liked thisAn outstanding week at Amplify '26 in Las Vegas! Huge shoutout to @Deloitte for showing up in full force again as our top Diamond sponsor. They don't win 6x GSI Partner of the Year for nothing—their commitment and value they bring to our alliance is unmatched. Across 8 key sessions and multiple client events, the @Deloitte team nailed it. They shared strong insights on everything from guiding companies through the initial IPO journey to solving complex multi-entity reporting and GRC needs. Whatever the challenge, this team has the know-how and best practices to address it. Big thank you to @Deloitte for your continued time, strategic investment, and dedication to the @Workiva alliance. This teams dedication is second to none! 🙌 It takes a village to drive an alliance this strong. Very appreciative of this group: Nick Accordino, Adrienne Alguadich, Paul DAloia, Isabelle Dassier, Josh Davignon, Valeriy Dokshukin, Brian Finkel, Sydney Frazer, Patrick Gilmore, Drew Green, Kyle Haywood, Lakshmi Kant, Jon Marcus, Leia Miller, Emma Ndebele, Greg Nicholson, David Oberst, Stefan Ozer, Matt Pelton, Justin Pellunat-Rodriguez, David Perlmutter, Fernando Pino, Ricky Priory, Savannah Quinn, Tim Raschle, Neima Seirafipour, Raman Sharma, Manav Sheth, Jay Meena Singh, Arlind Sulaj, Kristen Sullivan, Rachel Sutherland, Sydney Taylor, Dina Trainor, Nick Tricarichi, Michael Wells, Josh Wheaton, Neil White, Justin Wojtkowiak, Mark Wright #Workiva #Deloitte #WorkivaAmplify
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Dilip Krishna reacted on thisDilip Krishna reacted on thisOfficer, I would like to report the theft of an advertising impression.
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Dilip Krishna liked thisDilip Krishna liked thisFrom #Tokenizing to #Unitizing Why the next enterprise AI battle will be won on the unit of outcome, not the price of a token. Something broke in the AI conversation this week, in public. On live TV, a prominent software CEO said what buyers only muttered privately: enterprises pay for tokens that produce no value while their real worth leaks elsewhere. Like the messenger or not, the room went still. Every CFO who has watched an AI invoice balloon mid-contract felt it. The behavior backs the mood. One of the largest software companies reportedly pulled licenses for a rival coding tool after seeing the bill. Another burned its whole 2026 AI budget in 4 months. Finance teams open invoices they cannot forecast or explain, tied to value they cannot point to. When the deepest-pocketed firms flinch at the meter, the meter is the problem. The truth underneath it: you pay per token but cannot see what it buys, forecast it, tie it to a result, or explain it to the board. The vendor collects whether the work lands or not. Budget, adoption, governance, and outcome risk all shift quietly to you, wrapped in an opaque block price. You are buying intelligence by the kilogram, hoping some turns into value. At OpenKnowra we started from a different question. Not how to sell you more model, but how an enterprise becomes agentic, able to act on its own. The answer is not a bigger model but two things as one: an auto-evolving enterprise context layer that learns your business, and a context-native, grid-based operating system that decides and executes on top. This shift matters most in 2026, and deserves a clean name. Move from tokenizing to unitizing. Tokenizing prices the raw material. Unitizing prices the unit of outcome the customer wanted. The market is already drifting this way: platforms charging per resolved ticket, buyers demanding for price per business outcome. As agents take over, the price has to be for the outcome generated, not the compute burned chasing it. Most enterprise AI products inherit token economics from the underlying models. We chose not to. Our execution grid is model-independent, knows the cost of every stage of operating model, and prices for business outcome by factoring value addition at every stage, rather than billing for each stage of processing. For leaders, the advantage comes from changing the unit of measurement. Stop counting tokens and start measuring business units. Ask: What is the unit of value generated? What does one unit cost? Can it be measured consistently? Those answers turn enterprise AI into an operating model, not a technology investment. #EnterpriseAI #AgenticAI #AIStrategy #DigitalTransformation #ContextIntelligence
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Dilip Krishna liked thisDilip Krishna liked thisAs regards the partisan fight over em dashes. 1. Never used them in my writing and didn’t even know the keyboard shortcut to make one. 2. Learned about them thanks to their (over)use in AI prose. 3. Realized they often best represent my natural way of speaking—and are the technically correct substitute for how I’d been incorrectly using parentheses and ellipses. 4. Now use em dashes on the reg.
Experience & Education
Licenses & Certifications
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Deloitte FutureNext—GenAI and Sustainability Summit
Harvard Business School Executive Education
IssuedCredential ID 25PD-UDAD-DUA4
Publications
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Managing Algorithmic Risks: Safeguarding the use of complex algorithms and machine learning
Deloitte
Increasingly, complex algorithms and machine learning-based systems are being used to achieve business goals, accelerate performance, and create differentiation. But they often operate like black boxes for decision making, and are not controlled appropriately, though they are vulnerable to a variety of risks. Learn to harness the power of complex algorithms while managing the accompanying risks with a robust algorithmic risk management framework.
Other authorsSee publication -
The changing world of technology in financial services
Deloitte University Press
Cognitive and analytical technologies are set to bring about widespread change in the financial services industry, not just when it comes to “defense” functions such as risk and compliance, but also in “offence” activities that drive marketing and revenue growth.
Other authorsSee publication -
The evolving Fintech regulatory environment
Deloitte
Financial technology (Fintech) firms have won over many investors and consumers with innovative product and service offerings that are often less costly, more convenient, or less complex than many traditional bank offerings. However, as they grow larger in popularity, Fintech firms face more and more scrutiny from federal and state regulators.
Other authorsSee publication -
Risk Data Aggregation and Network Theory
GARP Risk Review Magazine
See publicationUsing network theory analytics to manage complex risk data infrastructures
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Handbook of Financial Data and Risk Information
Cambridge University Press
Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal…
Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume 1 examines the business and regulatory context that makes risk information so important. Volume 2 describes a structural and operational framework for managing a financial risk data repository.
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Regulatory productivity: Is there an answer to the rising cost of compliance?
Deloitte
Regulatory expectations have increased for all financial services institutions (FSIs). Even as penalties are levied for non-compliance with existing rules, new rules continue to be released. And one thing is clear: The cost of compliance is a heavy burden.
Other authorsSee publication
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