Vini Jaiswal

Fantastic panel on GTM for Enterprise AI. Thanks to fellow panelists for a sharp discussion and to Emergent Ventures for hosting. Anupam Rastogi Ankur Jain Preethy Padmanabhan Chandini M Ammineni Jason Griggs Deb Bardhan #GTM #EnterpriseAI

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Unapologetically Technical's newest episode is now live! In this episode of Unapologetically Technical, I interview Hubert Dulay the author of Streaming Data Mesh and Developer Advocate at StarTree. We talked about his early experience with web backends like CORBA and SOAP and how those prepared him for data work. He shares his advice for those with web development skills to transition into data and what it's like for a person leaving a company after a long tenure there. We discuss his time at Cloudera and Confluent and how the data industry has changed over time. We talk about his recent experience with Flink and StarTree. We go in-depth into streaming data mesh, covering what it is and how to create real-time data products. We discuss the ways teams can create joined or enriched data products across domains. We round out the discussion with some tips on how to get data mesh adoption. Watch the full episode here:

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Kudos to Kshitiz Parashar for his pioneering work on Agentic Chunking! His latest primer has quickly become the must-read guide for AI Application Engineers looking to optimize LLMs for smarter chunking, better retrieval, and sharper accuracy. This Speaks volumes about the calibre of the team which I am super proud of.  Even a lean, dedicated group can now harness the power of LLMs to design state-of-the-art architectures—proof that AI is leveling the playing field like never before. Ready to dive in? Explore the full article here: https://lnkd.in/eJ8cem3x #aiagents #chunking

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LinkedIn team (Juan Pablo Bottaro Karthik Ramgopal) shared a helpful deep dive into their deployment of an LLM-powered job search assistant. Highly recommend this read! Few highlights:  💡 Relatively easy to setup RAG-based pipeline. Achieved 80% of the basic experience in 1 month, then 4 more months to reach 95% mark. 💡 Evaluating the quality of application outputs is hard. I hear this from many enterprises developing LLM applications. (check out Okareo by Matthew Wyman Boris Selitser) 💡 Balancing latency with quality is important. While certain techniques like Chain of Thought could improve accuracy and reduce hallucinations, it will increase response times, which can affect user experience. https://lnkd.in/gtGGwf5P #largelanguagemodels #RAG #EBR #LLM #ml #ai #hallucinations #evaluations #

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Can you reinvent your enterprise applicatons with LLM? I show how in this shorts.

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Jobs to Be Done. I first heard this phrase when I was working at Intuit. We were doing a HBR workshop designed by Clayton Christensen, a leading thinker on #innovation, who popularized the Jobs to Be Done (#JTBD) theory as part of his work on innovation and market disruption. According to #Christensen, Jobs to Be Done refers to the idea that people “hire” products or services to accomplish specific tasks or fulfill particular needs in their lives. The Jobs to Be Done (JTBD) framework can be highly valuable when applied to creating work opportunities for people with Intellectual and Developmental Disabilities (IDD). By focusing on the specific tasks that need to be accomplished within an organization, the JTBD approach helps in identifying work that can be structured, repetitive, and suitable for individuals with IDD, while also contributing meaningfully to business outcomes. The Jobs to Be Done (JTBD) framework can effectively create meaningful work opportunities for individuals with intellectual and developmental disabilities (IDD) by focusing on specific tasks and outcomes that match their inherent strengths. Task-Specific Roles: JTBD emphasizes identifying structured, repetitive tasks, that are also core and value add tasks and essential to delivering business outcomes, that people with IDD can be trained to perform, contributing to critical business operations. Matching Abilities to Business Needs: By aligning roles with the individual's strengths, companies can assign specific work responsibilities, ensuring that individuals with IDD can excel and add value. Customized Roles: JTBD encourages designing roles around specific outcomes rather than fitting people into predefined jobs. This allows businesses to break down larger tasks into manageable, repeatable steps. Emotional and Social Impact: Beyond functional jobs, the framework also helps fulfill emotional and social needs, such as fostering confidence and inclusion, through meaningful work. Business Value: Using JTBD ensures that roles created for individuals with IDD solve real business problems, moving from a charity mindset to one of strategic value. The Accidental Ally is a social enterprise on a mission to create meaningful career pathways for individuals with Intellectual and Developmental Disabilities (IDD). Through our work, we have uncovered numerous areas of ‘Jobs to be Done’ where people with IDD can make significant contributions to delivering impactful business outcomes. Here are some of them - - Digital Marketing - Executive Admin - Technology Showcase or Innovation Center - Finance Operations - Sales Operations This is by no means a conclusive list. If you thought people with IDD are only able to work at the ice cream shop or grocery store or give speeches and become disability advocates....think again. We are here to shatter the glass ceiling and it's happening now! #disability #inclusion #FutureOfWork #IDD #employment

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When the theme's a delight, we double our insight! We covered a lot of topics on creating a differentiated and winning GTM strategy for AI companies in this conversation with Poorvi Vijay. - Positioning and differentiation - Building a brand beyond the product - Focusing on ICP - Marketing channels - Hiring the right talent - Pricing to balance value and cost - How to get POCs going - and more.. :)

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Quick tip - DDL for vector indexes https://lnkd.in/gwtNtE_r

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Kapil Khangaonkar, CEO of Clodura.AI, shares how Google Cloud fueled their growth: 71% less tech debt, 12x faster app delivery, & significant customer growth. 🚀 Ready to transform your startup? The Google for Startups Cloud Program now offers new benefits for AI startups, giving you the technology and resources to build easily. Take advantage of our open AI ecosystem and tap into the best of Google’s infrastructure, AI products, and foundation models.   Sign up today and unlock your startup's potential! #startups #cloud #GoogleCloud #CloduraAI #techstartup #startuplife #AI #buildwithAI #GoogleAI #GoogleforStartups #GoogleCloudforStartups https://goo.gle/GFSCP_CS Clodura.AI Google for Startups

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Managing production software, and especially "root causing" issues, whether at the infra or app layer, continues to be a growing challenge despite the success of companies like Datadog. I have looked at applying deep learning to this problem since 2017 when we worked with Gurashish Brar & Mohit Gupta to incubate Opas.ai. The team was exceptional, and they even hired a great SDR (me 😜 ). We learnt the hard way that it was too early and #AI was just not ready. A lot has changed since in terms of data infrastructure (check out Conviva's Operational Data Platform), causal inference models and LLMs. Jaya Gupta and I are excited to take another whack at this market, which we call #AgentSRE to distinguish from the outdated #AIOps framing. If you are building an #AgentSRE company, ping us. https://lnkd.in/gvBgfN7k

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Taking GenAI and LLMs from POCs to Production 🚀 Join us for an enlightening webinar hosted by CrossML Pvt Ltd and presented by Ankit Aggarwal, as we dive deep into the journey of taking Large Language Models (LLMs) from Proof of Concept (POC) to full-scale production. This webinar is perfect for CTO, AI enthusiasts, data scientists, product managers, and anyone interested in harnessing the power of LLMs to transform business operations. #LLM #AIWebinar #MachineLearning #GenerativeAI #TechnologyEvent

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Heading to Southern California! Join me and Garrett Springer at a free public meetup on July 25th where I will talk all about LLMs. (Don't tell corporate, but it's not really about Snowflake) 😃 What I want to talk about: 3 Steps for training a LLM - these have consequences around hallucination, agentic workflows, and expectations of LLMs Improving LLM Performance - I get a lot of questions about training your own model, fine-tuning, prompting, long context, function calling, so lets address them Using LLMs - Importance of evaluation and the latest lessons, Risks around LLMs (security, legal, ethical), and having a strategy to using LLMs If you are in the area, swing by and say hi. I will also make a recorded version of this talk at some point before the end of summer. Meetup Info: https://lnkd.in/g9qmgvtx Check out my talk from March: https://lnkd.in/g6nhnKF7

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🚀 Interesting developments in the tech world! Microsoft and @a16z have teamed up to advocate for a more supportive regulatory landscape for AI innovation. As they challenge California's SB 1047, they’re making a strong case for regulations that empower startups and foster open-source innovation. 🌟 Here are some key points from their collaboration: - Joint Advocacy Against Regulation: They oppose regulations like SB 1047, arguing it could stifle innovation and harm startups. - Support for Open-Source AI: Emphasizing the importance of open-source models to democratize technology and foster competition. - Balanced Regulatory Approach: Advocating for reactive rather than proactive regulations, focusing on addressing misuse as it arises. - Encouraging Startup Growth: Aiming to create an environment where both large firms and startups can thrive together. - Infrastructure Investment: Microsoft plans to provide scalable AI infrastructure to support startup innovation. However, there are also some concerns about this alliance: - Vested Interests: Critics argue this collaboration may prioritize the interests of big tech over genuine support for small businesses. - Potential for Regulatory Evasion: Worries that their approach might allow companies to sidestep necessary regulations that protect society. - Straw Man Arguments: Some believe their arguments against regulation rely on exaggerated claims about regulatory overreach. I’m curious to see how this collaboration will shape the support the next generation of entrepreneurs! Let’s discuss! 👇 #AI #Innovation #Startups #Microsoft #a16z #Regulation 

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AI next frontier is possibly developing and scaling the reasoning layer, where AI systems possess hard problem-solving and higher order cognitive intelligence. Came across this good article from Sequoia.

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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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Ai : Hunanity's greatest creation for Good and Bad. To secure ourself #zerotrustai In the journey, MS brings up VASA-1 will AI model which essentially spins a selfie image and turn it into a talking clip of you. All you have to do is upload a photo along with a voice note and let the AI model do the talking for you.

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