Rajiv Kochumman

Let’s face it, LLMs aren’t without limitations. In this discussion, Varun Grover shares the benefits of a RAG framework and provides an overview of how it works as well as practical use cases. Watch now: https://vrt.as/43MNQQx #AI #GenAI #LLM #RAG

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Check out my blog on unstructured data in Salesforce Data Cloud and How we build for scale. https://lnkd.in/gexVfktg

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Better subject lines can boost your holiday results. Check out these valuable insights based on an analysis of subject lines and campaign performance from retailers using Oracle Responsys during the 2023 holiday season. https://lnkd.in/gQssWqaE

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Thrilled to share our latest blog from OCI Data Science Team! In this post, we walk through how we built a state-of-the-art enterprise chatbot using the cutting-edge capabilities of OCI Data Science, Oracle Database 23ai, and Oracle Digital Assistant, backed by LLM models with the LangChain pipeline for RAG. From foundational AI models to creating a seamless conversational experience, this blog covers it all. Special thanks to Piyush Gajjariya (Thacker), Tzvi Keisar, Ashutosh Kumar Jha and SriRanjith R from OCI Data Science. Check it out here: [https://lnkd.in/dAudXG4J] #AI #Chatbots #OCIDatascience #EnterpriseAI #Oracle, #OCI, #oracle_database_23ai, #oda, #langchain, #rag, #LLM

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So nice to see Bratin Saha, AWS VP/GM, at the center stage joining our Co-Founder and CEO at the Imagine Keynote today! We are a Strategic Partner for AWS and have been steadily building upon our multi-year relationship. Today we are excited to announce our integration with Amazon Q in the conversation automation space. Amazon Q for Business Users is a Gen AI powered assistant that can be used seamlessly within Automation Anywhere's A360 platform by our customers to answer questions, get summaries and generate content and more importantly complete tasks within the enterprise context.   Here is what Mihir Shukla, our Co-Founder and CEO said about the power of this integration: “By making conversational automation available enterprise-wide with AWS Q, we’re arming every employee in companies with the potential to automate and transform their challenging process workflows to transform the way they work and reduce the time it takes from days and weeks to minutes”. Find out more in this press release: https://lnkd.in/g23rmVYa Prince Kohli, Adi Kuruganti, Tom Garland, Jay Bala, Peter White, Steve Shah, Claudia Michon, Matt Wood, Jagjit Dhaliwal (JD), Omar Zarka, Olawale Oladehin, Asheesh Mangla, Imran Moin, Watson G., Tanner McRae, Pranjal Raje, Dayanand Thakur, Gabe Akisanmi, Kartik Dalal, ShreeLakshmi Krishnamurthi, Charu Venkatraman, Sarangadhar Sahani, Geoffrey LAISSUS, Shane Patel #AAImagine, #AWS, #AmazonQ, Automation Anywhere, Amazon, #AI, #GenerativeAI

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If Satya did a Masterclass, this is what it would look like. https://lnkd.in/gz78tfKv. So many nuggets about Microsoft's AI strategy. * Satya's original core strategy was "Ambient AI, ubiquitous computing", shortened by the PR team to "Cloud first, mobile first" * Inspired by the Growth Mindset for Microsoft's cultural reboot - "be learn-it alls, not know-it alls" * eCommerce businesses will be affected as the commercial/buying intent shifts to AI chat * Language was the breakthrough that brought OpenAI and Microsoft together * Historically, Microsoft has been looking for the holy grail of "schematizing everything" (e.g. WinFS) * He sees a connector-based economy emerging in the enterprise space - analogous to licensed integrations in previous gens * Less clear how this will work in consumer * "Google makes more on Windows than Microsoft does" * "A benefit of losing it all [e.g. the browser to Chrome], is we have the chance to win it all back" * AI has allowed Azure to win new logos (e.g. Shopify) that were on other platforms * "How many 5M+ DAU AI workloads are there (beyond ChatGPT, Copilot, and Meta AI)"? * Business application will collapse in the agent era * They are basically CRUD databases with business logic, and the business logic will move to the AI layer * Eventually the economic realities of training new models will set in * "Why would I want to spend a lot on model capabilities if the network effects are all in the app layer" * AI is now a core part of the cloud * There's a ratio of regular Azure compute to data services to GPU AI inference * E.g. inference may require coding scratchpads, which are Azure Kubernetes clusters * On AI security * Open source and closed source are two models for building network effect * Meta is smart to commoditize their complement with Llama * Ultimately, governments and society will demand the same bar across the board

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Enhancing developer experience and productivity is crucial for engineering organizations. Check out our blog on how we leverage AI across SDLC. Incredible work by our teams in collaboration with our AI research team! #AI #GenAi #AgentForce #DeveloperExperience #Productivity #DeveloperProductivity #salesforce 🔗 Read more: https://lnkd.in/gbR4e9ru Katie Stasaski, Armin Bahramshahry, Ravi Boyapati, Nick McDuffie Silvio Savarese, Caiming Xiong, Yingbo Zhou

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AWS re:Invent is less than two weeks away. Want to accelerate your AI initiatives? Let's connect in Vegas and discuss how Meibel enables your engineering team to build Explainable AI into your products and experiences.

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This is another huge step forward for Appvance IQ. Since we introduced our AI Coverage Map in 2020, it has become a key feature in how AI Automation Engineers and their Dev counterparts strategically deploy unlimited AI testing resources targeting the most business-critical and vital user flows. The new coverage maps in 5.2 bring even more insight into how enterprise applications are really working and where defects are lurking, where performance is lagging, and where risks are undetected. Let me know if you'd like to learn more.

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"Sometimes you have to take a step back, smaller role, company, comp, to amass learnings and growth so that you can move ahead with greater momentum." This advice comes from Amit Fulay, VP of Product at Microsoft. In a Fireside PM interview, he shared how his own step back to join a startup, though it involved a pay cut and losing his team, armed him with invaluable experience that ultimately fast-tracked his career. Amit's insight on "catapult opportunities" is just one of 10 powerful lessons he offered on navigating product management careers. Read the full blog post for more of his counterintuitive yet transformative advice, covering everything from focusing on customer problems to finding sponsors to enjoying the journey. Read the entire post here: https://lnkd.in/gdy2dn6D #ProductManagement #CareerAdvice #Microsoft

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Have you ever heard of a $20 cup of coffee? The Ain't Normal Cafe in Oakland is serving up just that. This reminded me of Madhavan Ramanujam's talk on value-based pricing. He asks the audience if they like coffee, then how about at $20 to reinforce the idea. According to a recent article in the San Francisco Chronicle, there's one lingering question: Can a $20 cup of coffee ever be worth it? Well, that depends on who you ask :) Check out the article and let us know your thoughts! #Pricing #ValueBasedPricing #Coffee #AintNormalCafe

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Business leaders are looking to Microsoft to understand how #Copilot and agents will transform work—and we want to help. As an engineering leader who supports our sales organization, I’m looking to drive more revenue, so we’re leveraging AI and Copilot across our teams to help increase the pipeline and deal velocity, improve conversion rates, and ultimately improve the seller experience. But that’s just the beginning. We see Agents as being game changers for the sales function. We will have autonomous agents prospect and qualify leads at scale on behalf of sellers and help make them more productive and effective. Discover on #WorkLab how AI can future-proof your organization and keep you ahead of the curve. #AI #Sales #Innovation #Microsoft #FutureOfWork https://lnkd.in/gmJUbn2N

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Hello everyone! Happy Diwali to all of you! 🎉 I'm not a regular YouTuber—this is actually only my second video, and it’s been almost four years since the last one. Normally, I share a lot about database topics through my blog, but I felt that this topic needed a bit more interaction than just a write-up. So, I decided to share my thoughts through a video instead. Hope you enjoy it just as much as you do my blog posts! Oracle 23ai - Unleashing the Power using vector search Like || Share || Comment Oracle Oracle Cloud All India Oracle Users Group (AIOUG) Oracle Database #oracle #oracleblog #oracleace #oracle23ai #oraclevector #vector #vector23ai #rag #LLM #ai #ML https://lnkd.in/dFx2RrdQ

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To most of us, who has been working in the field for years, LLMs started as being a "smarter autocomplete", that can provide the next best word by "reading" a corpus of documents. And it turned out to do much more sophisticated things demonstrating human like capabilities. We were chatting with a friend in the weekend, and the question came up, "as humans, do we actually just do autocomplete?" Is innovation or thinking all about predicting the next thing all the time. For instance, think of sports, such as soccer, it is all about predicting the next move of the proponent if you are in defense or predicting where you can move the ball to maximize the probability of scoring a goal. Or more obvious things like playing chess, which is all about predicting the next n moves or predicting the whole game moves if you have enough memory. How do we innovate? We read a lot (training the neural net) and then find a challenge, look into the sequence of things that exist today and predict next big move. Probably we all autocomplete. Never thought about this way.

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Geoffrey Hinton, the "godfather of AI" and 2024 Nobel laureate in Physics, has sounded the alarm on the technology he helped create. His concerns echo those of the Keurig cup inventor a decade ago, who regretted the environmental impact of his innovation. Both cases highlight a crucial lesson: groundbreaking technologies can evolve beyond their creators' intentions. Hinton warns that AI could pose an existential threat to humanity, potentially manipulating people and even replacing biological intelligence24. As he puts it, "It's quite conceivable that humanity is just a passing phase in the evolution of intelligence." These cautionary tales remind us of the importance of responsible innovation. As technology advances at breakneck speed, we must ensure it benefits rather than harms our future. It's time to heed the warnings of pioneers like Hinton and work towards aligning AI with human values and interests. Source - https://lnkd.in/gxH-KDFu

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Automation is critical to managing data and it all starts with knowing your data. Connectivity to critical data sources to build an inventory that includes classification is a foundational requirement driving #security, #privacy, and #governance use cases. BigID has and continues to drive automation and is being recognized across the data industry. Below is the latest recognition resulting from a challenge against 19 other vendors.

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After reading the criteria and making a few guesses at the variables associated, THIS IS SIMPLY IMPRESSIVE! The area of classification is ridiculously difficult when you get to the details that matter around accuracy and precision, but more importantly, doing it at scale! Take 5 minutes, read about this incredible challenge and let me know if you are ready to talk about winning in your own classification challenge! #dataclassification #bigid #data security #aisecurity #securityatscale

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