Sinclair Schuller

Our recently launched quarterly survey on generative AI reveals that 87% of companies are already developing, piloting, or have deployed generative AI, with annual investments averaging $5 million. Learn about the emerging themes and how businesses are navigating this transformative technology. https://dy.si/5F52A

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I’m incredibly honored to join the board of Parsley360, a company founded by legendary Sheryl Anjanette that is genuinely redefining how AI can be used for good. Parsley’s empathy-driven AI platform isn’t just about automation—it’s about transforming how organizations tackle complex challenges like burnout, retention, and performance with real-time, actionable insights that truly make a difference. With over 40 years (wow, I am "seasoned," haha) of experience in technology, healthcare, and climate, I’ve seen firsthand the power of AI. I led an AI company that is now a key part of UnitedHealth Group. Parsley is taking AI to the next level, using it to align people, processes, and performance in ways that are not just innovative but game-changing. I’m excited to bring my background in AI, big data, blockchain, and scalable infrastructures to Parsley as we push boundaries and drive strategic growth. Together, we’re creating a future where AI isn’t just intelligent—it’s empathetic and transformational. #Honored #AIForGood #EmpathyDrivenAI #StrategicLeadership #CorporatePerformance Craig Martin Antonio J. Viana Mark Morsch Ken Kaufman

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#GenerativeAI is accelerating organizational performance faster than any previous tech cycle. Accenture’s Jack Azagury calls it 'the fastest-growing technology we’ve ever seen,' but success requires more than just #AI. A strong #DigitalCore and a strategic talent approach are key to unlocking its full potential. Explore how organizations are embracing this AI-driven reinvention in this Forbes article. https://accntu.re/4dsZJ1d

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Some good perspective on how AI changes SaaS. Vertical Saas is here, horizontal SaaS is challenged. https://lnkd.in/gQQnPYPE

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What is a digital twin and how does it provide value? Marco Rojas, senior consultant at Credera, shares the answers and walks through four ways a digital twin can provide value to your business:

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Thrilled to share the 80 top-tier startups selected for the global Generative AI Accelerator (GAIA) program! The program is part of Amazon Web Services (AWS) $230 million commitment to accelerate the development of generative AI applications by startups globally. Over the past two months, we meticulously curated this cohort from 4,700+ talented applicants from across the globe. After interviewing 300+ candidates, we chose the 80 top startups we believe represent the cutting edge of generative AI innovation.   GAIA is a testament to the power of unified action. When we come together, there are no limits to the progress we can achieve and the customer experiences we can create. The future of AI-driven innovation has never been brighter, and I believe GAIA will be a catalyst for unlocking new frontiers of creativity, problem-solving, and market disruption. Let's continue embracing this exciting era and leading the charge towards a more dynamic, equitable, and AI-powered future. Congratulations to all the exceptional innovators joining us on this transformative journey. Ping Matt Nagle to learn more. https://lnkd.in/eRvR7WiN

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The Tao Te Ching Wisdom for CIOs and CEOs We are enamored with all the new ideas and creations we are making like AI for example. We have created a new technology to try and replace our own brains. Will AI be wise? ~2500 years ago, Lao Tzu the author on the book “The Tae Te Ching” wrote a book that offers timeless wisdom. “When people see some things as beautiful, other things become ugly. When people see some things as good, other things become bad. Being and non-being create each other. Difficult and easy support each other. Long and short define each other. High and low depend on each other. Before and after follow each other. Therefore, the Master acts without doing anything and teaches without saying anything. Things arise and she lets them come; things disappear, and she lets them go. She has but doesn’t possess, acts but doesn’t expect. When her work is done, she forgets it. That is why it lasts forever. “ Source: Tao Te Ching Translation: Stephen Mitchel (my favorite translation) What do you think? Offer your comments below

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What’s next for #GenAI and #RAG? Watch this video from Microsoft for Startups to gain some insights for your #startup.

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As AI continues to shape the future of business, it's crucial for boards to understand the risks and opportunities involved. In a Q&A with Corporate Board Member, Diligent's President and CEO Brian Stafford discusses best practices for how boards should be approaching AI adoption.

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Browsing the web could become as archaic as renting a DVD, and sooner than most people realize. My Felicis colleague, Eric Flaningam, and I wrote about the infrastructure being built today to enable this future, and which vertical applications of AI agents we find most exciting. If this article resonates with you, have your AI agent reach out to mine 🤓

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We’ve seen countless buzzwords come and go. “AIOps” is the latest in a long line of catchy but ultimately misguided terms that fail to capture the true potential of AI in the world of IT ops and observability. The observability market has been fragmented for years, with leading vendors like Datadog, New Relic, and Splunk rarely capturing more than 20% market share. Why? Because fundamentally, observability has been treated as a big data problem rather than an intelligence problem. Why is there an opportunity to change this paradigm now? LLMs offer a unified approach to data understanding. Their ability to process and correlate heterogeneous data types – logs, metrics, and traces – in their raw formats breaks down some of the silos that have plagued observability. The transformer architecture underlying LLMs excels at capturing long-range dependencies, crucial for understanding system-wide patterns. LLMs also bring the power of zero-shot and few-shot meaning they can adapt to new failure modes without extensive retraining, addressing the perennial issue of concept drift in rapidly evolving systems. Beware the technical challenges: LLMs currently struggle with both tabular and time series data, common formats in observability. Although we anticipate that innovations in newer architectures, multimodality, and multi-agent systems will mitigate some of these challenges over time, near-term solutions will require creative workarounds from builders. Read more on our point of view below! Foundation Capital https://lnkd.in/grqHXNMF

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✅ "Harnessing genAI for enhanced developer productivity at scale" - Below are the Details of my talk - expanding commercial offerings - Fine tuning LLMs - leveraging internal networks #genAI #speaker #ml #ai #slb

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Generative AI is already radically altering plans for how current and future SaaS offerings will generate human experiences, and how those experiences will be consumed. Keen attention to how consumers are already changing their behavior in this new environment is vital to surviving this transition. https://lnkd.in/eEXit5RC

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Anthropic introduces Autonomous AI Agents that use a computer mouse and screen to perform complex tasks independently. Currently available for developers only through the Claude 3.5 Sonnet API.

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We are just at the beginning of the AI led digital transformation! Lots more questions than we answers on adoption, evolution in Enterprise AI but that’s exactly what creates white spaces, opportunities for innovation. Let’s play!

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