Shivam Khullar

The first of many open source contributions we'll be making as a company this year. It's going to be transformative for the downstream industry to have an AI team of this calibre building in the sector, ensuring that the enduring necessity of petrochemical growth can be delivered sustainably - kashmirintelligence.com #AI #OpenSource #ProcessEngineering #ChemicalEngineering #BioChemicalEngineering #Research #Innovation #OilandGas #Refining #PetroChemical

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Reflections from Day One of SF Tech Week: Relationships at the Core It’s only day one of SF Tech Week, and I’m already absorbing so much. The energy here in San Francisco is unmatched, but what really stands out isn’t just the groundbreaking tech—it's the conversations and the people behind the innovation. Grabbing a beer with Puya Vossoughi, a friend and the biggest advocate of the “relationships come first” mindset, reminded me that even in the most tech-driven environments, it’s the human connections that propel us forward. AI and Responsibility Today’s session on "Disruptive Technologies: Balancing Opportunities and Risks in AI" hit home for me. As we push the boundaries of AI at Konfront, especially in the fintech space, I’m more aware than ever of the need for balance. Innovation is exciting, but it also comes with a responsibility to build ethically. The discussions here have reinforced that the true power of AI lies in using it thoughtfully, ensuring it benefits people without compromising their trust. The Future of GTM: Staying Lean and Ready for Change The talk on lean Go-to-Market strategies for 2025 was a timely reminder of how important it is to stay flexible. With Konfront’s Product as a Service model, we’ve seen how quickly the landscape can shift, and this week is proving once again that agility is key. No matter how solid the plan, being able to adapt to changes is what will keep us ahead. AI Beyond the Usual Suspects AI’s application in the construction industry was a real eye-opener today. It got me thinking about how innovation can—and should—expand beyond the usual sectors. There’s incredible potential in industries we might not immediately associate with advanced tech, and this broader perspective is something I’m eager to explore back home. Inclusivity and Building Ecosystems The session on inclusivity and the importance of diversity was a highlight. Being part of both the U.S. and Latin American tech ecosystems, I’ve always believed that diverse perspectives are crucial to sustainable growth. SF Tech Week is a powerful reminder that creating inclusive spaces isn’t just about representation—it’s about fostering innovation that stands the test of time through meaningful collaboration. This is just the start. I’ll be sharing more insights as the week unfolds, but today’s takeaway is clear: While technology evolves rapidly, the relationships we build are what give it meaning. Here’s to more conversations, more connections, and more learning in the days to come.

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From where I sit in the SF Bay Area, cradle of innovation for at least the last 30 years, I'm a true believer in the promise of the #AI revolution. That said, I find it fascinating to consider views on the opposing side. I'm sharing below two opinion pieces from the last two weeks suggesting that the AI revolution is fundamentally overhyped and a bubble ripe for bursting, and that AI tools are actually not useful or transformative. Contrast this with venture capitalist Kai-Fu Lee's prognostication that 50% of white collar jobs will be displaced by #AI within three years, and that OpenAI and the other cutting edge movers in the space are headed to a trillion dollar valuation. Which side will win out? Where will we be by 2030 in the AI race? I'd love to hear your thoughts in the comments.

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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Here are my key takeaways from the second panel at the ”Resilience in the Ever-Changing Environment" conference at Nasdaq in #NY moderated by Kris Pederson who is leading the EY Center for Board Matters, featured industry luminaries like Bhawna Singh, Okta CTO, Mike O'Rourke, Head of Nasdaq AI & Emerging Technology, and Usman Sheikh; Partner & Chair of the Blockchain & FinTech Practice At Baker McKenzie They discussed product differentiation and M&A strategy in relations with emerging technologies such as #GenAI, #QuantumComputing, #Blockchain, #EdgeComputing; shaping the future of business and society, highlighting the importance for boards to be well-versed in such areas and to ask timely questions to ensure management has been considering these topics and making informed decisions. Boards should consider how generative AI can enhance productivity, improve customer experiences, and drive innovation, while ensuring it is used ethically. Boards should help establish ethical guardrails for AI usage, promote transparency, and address potential biases. They should collaborate with stakeholders to ensure AI aligns with societal values and ethical standards. Additionally, risk management around AI should include the following: AI Laws: Boards need to stay informed and proactive about the evolving legal landscape surrounding AI. This includes understanding compliance requirements, anticipating regulatory changes, and engaging with policymakers. Active engagement can help shape policies that balance innovation with ethical considerations. Ethical and Secure AI Deployment: As AI becomes more integral to business operations, ensuring its ethical use and securing AI systems are paramount. Companies should extend security measures to their entire data platform and pipeline and adhere to high standards of ethical AI practices, possibly under the guidance of specially formed committees. AI Innovation in the Wrong Hands: There is a significant risk of AI technology being misused by malicious actors. Boards should implement robust ethical guidelines to ensure their AI innovations are not misappropriated or used unethically. This involves careful vetting of partners and clients, as well as ongoing monitoring of AI deployments to detect and prevent misuse. Attack Protection / AI Security: As AI systems become more integrated into business operations, they become increasingly attractive targets for cyberattacks. Boards must prioritize AI security by investing in advanced security measures and conducting regular audits. This includes safeguarding AI algorithms, ensuring data integrity, and protecting the underlying infrastructure to prevent unauthorized access and attacks. #NasdaqResilience #TechInnovation #BoardGovernance #GenerativeAI #QuantumComputing #Blockchain #EdgeComputing #AIEthics #AIRegulation #BoardLeadership #BoardOversight #BoardResponsibilities #BoardOfDirectors

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Making decisions? In today's world, they must be data-driven, right? But with such an overwhelming amount of data, it’s natural to turn to AI. But can AI also handle ethical considerations? Is there an "AI Conscience"? Fortunately, Brian Green is joining us at the IIT Bay Area Leadership Conference on 10/19/2024 to address this important topic: "Ethical Decision Making in the Age of Data and AI." Brian is the Director of Technology Ethics at the Markkula Center for Applied Ethics at Santa Clara University (and if you are reading this on your iPhone, yes - the center is indeed named after Armas Clifford "Mike" Markkula Jr., the third co-founder, original angel investor, first chairman, and second CEO for Apple who was introduced to the two Steves by two Gods of Silicon Valley: Don Valentine and Regis McKenna.) Brian teaches AI ethics and has authored/co-authored several books, including Space Ethics (2021) and Ethics in the Age of Disruptive Technologies: An Operational Roadmap (The ITEC Handbook) (2023). I hope I have given you enough data to make a decision to attend the conference!

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🎙️Tune in! Ankur Sinha, Domino's Head of Partner Solutions & GTM, was recently featured on the Ecosystem Aces podcast series. In this insightful conversation with Chip Rogers, Chief Partner Officer at Workspan, Ankur shared how Domino is leading the way in enterprise AI solutions by: 🔶 Seamlessly integrating with hyperscalers like Amazon Web Services (AWS) and tech pioneers such as NVIDIA to deliver state-of-the-art ML Ops. 🔶 Building powerful new alliances with data giants like Snowflake and Palantir Technologies, enhancing the data science capabilities available on the Domino platform. 🔶Focusing strategically on vertical solutions—ranging from clinical development to the public sector—to leverage industry expertise and drive product innovation and customer success. Catch the full conversation to learn more about Domino’s ecosystem-driven approach to transforming AI deployments and unlocking value through collaboration. #AI #MachineLearning #Partnerships #DominoDataLab #WorkSpan #EnterpriseAI #MLOps #EcosystemAces https://gag.gl/z4rgeY

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Thanks Helen Fu Thomas for giving me the opportunity to talk about our “Enterprise AI Acceleration” construct: AI Aware AI Learning AI Experimenting Ai Accelerating It’s tool we use when working with our Ringer Sciences clients to candidly gauge where an organization is on their journey and help them plot where they want to go and how to get there. We’ve found it to be a helpful conversation guide. #AI #EnterpriseAI #Digitaltransformation

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