Jayesh Sahasi

In today's rapidly evolving business landscape, Generative AI stands out as a transformative technology capable of driving significant impact across various domains. This one-day workshop is designed for executive and departmental leaders, aimed at fostering a deep understanding of GAI, aligning strategic vision, and catalyzing actionable insights. Participants explore practical applications, engage in hands-on activities, and develop strategies to leverage GAI for enhanced business outcomes. While the primary focus of the sample workshop is on marketing, the workshop framework is adaptable for other functional areas such as engineering, operations, finance, administration, HR, and recruiting. #generativeartificialintelligence #generativeAI #GAI #AI #digitaltransformation #CIOs #CTOs #CDOs #CDAOs #CMOs #CFOs #CEOs #EQengineered

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Generative AI: miracle worker or sophisticated guesser? While AI can now write, code, and create, it's essentially still a prediction machine. This revelation challenges how we view and utilize AI in business. What does this mean for your AI strategy? Let's discuss. #ArtificialIntelligence #BusinessStrategy #TechInnovation #AILimitations #FutureOfWork

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I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment

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We're launching the inaugural edition of Beyond Benchmarks, a deep dive into the metrics and trends observed across the early-stage enterprise cloud market. This is the first look at some of the business data around GenAI in SaaS. Some initial observations: 1) 60% of SaaS companies have already integrated GenAI into their offerings (60% of these as part of their current product and 40% as a new product), and an additional 20% are planning to do so this year. Almost half aren't monetizing these features. Those that are are primarily experimenting with both usage-based and flat fee pricing models. 2) Most companies are utilizing OpenAI as their primary LLM, but many are experimenting with multiple models - and we are noticing an early trend towards intelligently routing GenAI inference requests to different models based on cost, performance, and security. 3) Though we are in the initial innings of GenAI, we are seeing some positive signals - companies that implemented GenAI had 7% higher NDR than those that did not. Still early days, but we'll be doing this benchmarking report regularly to track and share how things progress in this new era. Link to report in comments.

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Generative AI is spreading like wildfire. 💡 Nearly 40% of US adults have embraced it in just months - outpacing the adoption of PCs and the internet. This tech revolution is reshaping how we work and live. Are you ready? #GenerativeAI #TechAdoption #FutureOfWork #AIInnovation #DigitalTransformation What's your experience with generative AI? Share your thoughts below!

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In the evolving landscape of Vertical AI startups, identifying effective entry strategies is crucial. Tanay Jaipuria's recent analysis highlights four prominent "AI wedges" that startups are leveraging to penetrate specific industries: Voice Automation: Implementing AI-driven voice agents to handle customer interactions, enhancing efficiency in sectors like retail and healthcare. Unstructured Data Parsing: Utilizing AI to convert unstructured data into actionable insights, streamlining processes in finance and logistics. Verticalized Search: Developing specialized search tools tailored to industry-specific needs, improving information retrieval in fields such as legal and biomedical research. Content Generation: Employing AI for industry-specific content creation, aiding marketing and customer engagement strategies. These strategies enable startups to address unmet needs within industries, facilitating rapid adoption and growth. As AI continues to advance, how do you foresee these wedges evolving, and what new opportunities might emerge for startups in specialized sectors? Share your thoughts in the comments below.

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Are LLMs better at Deductive (start with a general formula/relationship and compute outputs for different inputs) or Inductive (start with examples of inputs and outputs and figure out the generalized relationship) reasoning.... The answer is they are better at Inductive reasoning... Based on this what kind of applications are they better suited for???? More details in this amazing study....https://lnkd.in/gjKYUraW

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Generative AI and machine learning: two titans of tech, often confused but distinctly powerful. One creates, the other predicts. Both are reshaping industries at breakneck speed. Which will have the greater impact on your business? The answer might surprise you. #AI #MachineLearning #TechInnovation #BusinessStrategy #FutureOfWork What's your take on the AI revolution? Share your thoughts below.

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Generative AI: revolutionary tech or overhyped buzzword? As companies rush to adopt AI, the line between transformative potential and inflated expectations blurs. The key lies in critical assessment and strategic implementation. What's your take on AI's role in business transformation? #GenerativeAI #BusinessStrategy #TechInnovation #AIAdoption #CriticalThinking

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Kim Burgaard Rachel Perez Jay Leverett David Bellotti -- I'll be listening to this one for sure! Sergio H. Serge Madenian Episode Summary: The episode features an in-depth interview with Mike Krieger, the new chief product officer at AI company Anthropic, discussing his background, the decision to join Anthropic, the company's focus on responsible AI development, the challenges and opportunities in building AI products, and his vision for the future of AI technology and its applications. https://lnkd.in/guWW8cku

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Vertical AI is reshaping industries, representing a staggering $6 trillion opportunity in annual U.S. services spending. This emerging frontier dwarfs the $600 billion market cap of all cloud software combined, tackling previously intractable problems by addressing unstructured data—a realm that makes up 80% of all data. At SignalFire, we're witnessing a fundamental shift in how startups approach product development, monetization, and growth in this space. It's akin to the "Fosbury flop" in high jumping—finding unconventional ways to overcome industry challenges rather than just trying to "jump higher." We've identified seven powerful frameworks for success in vertical AI, including networked SaaS, data defensibility, and AI-business-in-a-box models. These strategies enable startups to create multisided platforms, build proprietary datasets, and empower individuals to launch AI-driven businesses. Companies like Verse‎, EvenUp‎, and Grow Therapy‎ are leading the charge, demonstrating how vertical AI can transform industries from healthcare to legal services. It's exciting to see these innovations unfold, creating more efficient value chains and deeper market entrenchment than traditional SaaS models. Read all about the seven frameworks via the link in comments. #startups #genai

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Intersection of AI and humanoid robotics presents one of the biggest opportunities for societal scale impact Perception, Sensors, and LLMs are merging. Looking out for break out ventures working at this intersection. ! #EmbodiedAI https://lnkd.in/emK-nVNx

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Despite the noise by high-tech corporations, #startups, #VCs, and analysts, we are in the early phase of #generativeAI. While we don't know if it will transform every business process driving operational efficiencies, create new revenue streams, result in massive productivity improvements, and curtail costs, the early signs are encouraging for pilot projects.

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TRIPLE BAM! If you missed it, here's the recording of our live Q/A with Jay Alammar and Joshua Starmer PhD! We talked about many AI topics, answered lots of great questions, and talked about two great books: Hands-On Large Language Models: Language Understanding and Generation, and The Illustrated Guide to Neural Networks and AI!!! https://lnkd.in/dcPHs7YQ

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AI that can use computers like humans? Anthropic just made it a reality. Anthropic's latest announcement is reshaping the AI landscape: 1. Upgraded Claude 3.5 Sonnet with industry-leading software engineering skills 2. New Claude 3.5 Haiku model matching top-tier performance at lower cost and speed 3. Groundbreaking "computer use" capability allowing AI to navigate interfaces like humans 4. Significant improvements in coding, with Claude 3.5 Sonnet outperforming all publicly available models on SWE-bench Verified 5. Early adoption by tech giants for automating complex, multi-step processes This leap forward in AI capabilities opens up exciting possibilities for automation, software development, and open-ended research tasks. However, it also raises important questions about responsible deployment and potential risks. What are your thoughts on the implications of AI systems that can use computers like humans? How might this change the future of work and technology? #ArtificialIntelligence #TechInnovation #FutureOfWork #AIEthics #SoftwareEngineering Share your insights in the comments!

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“AI’s “mirrors” look and sound a lot like us because they are reflecting their inputs and training data, with all of the biases and peculiarities that entails. And whereas other analogies for AI might convey a sense of living intelligence (think of the “stochastic parrot” of the widely cited 2021 paper), the “mirror” is more apt, says Vallor: AI isn’t sentient, just a flat, inert surface, captivating us with its fun-house illusions of depth.” the medium is the message, social networks the new medium and private networks the true repositories of value.

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Enterprise Automations, RPAs, AI, Agents - where and how do they intersect and overlap? Great coverage in this article from Insight Partners on this topic: https://lnkd.in/ghiNGtC8

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