Ram Sangireddy

Interesting insight from Santosh Rao on Marketplace by APM My research talks about metrics Tech/SaaS Leaders should measure depending on your scale https://lnkd.in/gGfBWgn5

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In our opening salvo for our book on the AI-Centered Enterprise, co-authored with Natarajan Balasubramanian and Amit Joshi, our editorial opinion article on "What Companies are Getting Wrong about AI" was published in TechTarget News. In this article, based on our research, we argue for a nuanced three phase approach to AI implementation in organizations. Arun Rao, my co-founder at samvid.ai, joins us as collaborator for this article. #enterpriseai #responsibleai https://lnkd.in/g3E4dx64

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What happens when two industry veterans and former analysts meet and have a private chat about the marketing hyperboles and product overpromise of tech vendors? What do they say to each other? Welcome to Reality Distortion Fields (RDFs)! A new long form conversation podcast hosted by Elias Khnaser and Alessandro Perilli 🇺🇦. In this first episode, Elias and Alessandro talk about: - Humane AI Pin and MKBHD - Rabbit R1 - what's the job of a reviewer/critic/analyst - how companies grow reality distortion fields and if there's a way to avoid them - tech vendors' responsibility towards customers and corporate incentives - how they typically deal with failures, and the contrarian perspective of Peter Thiel - if we really need yet another device - what's the vision for an AI assistant compared to what vendors are selling today Watch it here or wherever you get your podcasts: https://lnkd.in/g9Pdr7P5

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"The great thing about the Hype Cycle is that when we place something on the peak, where GenAI was last year, then there's always going to be a move down towards the trough” shares Gartner expert Afraz Jaffri. Find out what’s next for GenAI in our podcast 🎧 https://gtnr.it/4cJw3ww #GenerativeAI #GenAI #HypeCycle #ArtificialIntelligence #Podcast

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AI-powered knowledge management is revolutionizing productivity, as highlighted in Sirjad Parakkat's insightful article. It's essential reading for understanding AI's potential in transforming traditional systems. Our "Tailored Intelligence" consultancy and tech services go further by ensuring that private data is not used to train public AI tools and keeping human experts in the loop. We combine AI's power with human insight to protect your proprietary knowledge and enhance decision-making. Discover how we take AI-driven knowledge management to the next level. #tailoredintelligence #ai #artificialintelligence #digitaltransformation #aiinsociety #impactai #innovation #visionaires #business #wikiexpert #solutions

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Incorporating Generative AI into business workflows presents immense opportunities, but managing its hallucinations—when the AI generates inaccurate or misleading information—is crucial for long-term success. Unchecked hallucinations can erode trust, misinform decision-making, and expose businesses to reputational and financial risks, particularly in industries like healthcare where precision is non-negotiable. By implementing robust safeguards such as fine-tuning models on domain-specific data, integrating human-in-the-loop systems, and reinforcing AI outputs with fact-checking mechanisms, businesses can mitigate these risks. Our latest report highlights our point of view on how the hallucinations can be effectively managed.

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AI is accelerating cloud ecosystem growth, but it's not a solo game. 🤝 How are successful SaaS and AI companies adapting their #cloud GTM playbooks for the AI age? I asked 3 industry leaders - here's what they told me. 📈 Partnership strategies are quietly transforming In our latest podcast, Neeti Gupta, CEO of AI Partnership Consultancy and alum of Microsoft, Amazon, and Meta, unpacked this shift: "Partner playbooks are changing... one-on-one partnerships are happening. Then there'll be the democratization of the tools where basically, what I call the AI to API wave is going to happen…. and then finally the agent phase where the automation will happen." 🎯 Meanwhile, many try to apply AI to GTM on a tactical level: "From an ISV perspective, I see a lot of trial and error in the go-to-market side of it. And that includes building intelligent bots or assistants that will improve maybe the response from an introduction through a co-sell program at one of the hyperscalers," explained Jonathan Kingsepp, Cloud GTM Mentor and Advisor at Partner Insight. 📊 Data and customer value drive AI partnerships AI is a game-changer, but not a magic bullet. Successful cloud #partnerships will be built on data, customer value, and integrations. "Right now, data is the best value add you can provide... if you, a legacy company, have a large customer base and can provide certain kinds of data that is not available to any of these companies and you can monetize that, that is kind of the Holy Grail," Neeti Gupta highlighted. 📅 Cloud Marketplace success requires a long-term view Amidst the AI hype, it's easy to overlook the importance of relationship building and partnership efforts. Yan Zhang, former COO of PolyAI, noted on their journey to become one of AWS's key partners: "It could take years between signing up to be a partner and when you have the deal flow...it's a lot of networking within the #ecosystem." 🛠️ Service partners are crucial, especially for AI companies "I always push people to think about selling the result, right? Selling the end result rather than just the software because a dirty little secret about people who worked in AI...is that it doesn't always work all that well," Yan underscored. 💡  The implication is clear: AI will be a rising tide that lifts many boats in the cloud ecosystem. However, hyperscalers aren't just looking for AI buzzwords - they're looking for partners who can bring unique value to their ecosystem. To capitalize on this opportunity, ISVs and channel partners need to think strategically where they have an edge - whether through data, industry expertise, or custom solutions. What’s your unique advantage and how can you leverage it to become a key partner to hyperscalers? The answer may define your new cloud GTM playbook. 👍 Follow for more insights & share with others Watch the full episode on How AI is Transforming Cloud GTM and Partnership Playbooks: https://lnkd.in/e-pzvwPz

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Ramsu Sundararajan: Segment of One at Scale Ramasubramanian (Ramsu) Sundararajan holds a PhD in Machine Learning, and is the Head of R&D at solus.ai, which powers Segment of One personalization. Roles prior to that included Senior Scientist at GE Global Research, and Principal at Sabre Airline Solutions, where he developed some of the original algorithms. Ramsu shares highlights of his journey in AI, with particular focus on personalization in marketing, with insights about how to think about that problem conceptually, including what parts are somewhat easy and which are difficult or tedious. There are also key insights about customer journeys and about the cold start problem. Other topics covered include customer genomes, as well as a discussion about navigating between decisions taken at a zoomed-in perspective at the individual customer record level, while also managing to a zoomed-out perspective that’s driven by KPIs, comps and annual targets. The show concludes with a discussion about the 1-2 year product development roadmap for solus. Video version on YouTube https://lnkd.in/gHgSbYKN Audio Podcast on Spotify at https://spoti.fi/3XIf1te Audio Podcast on Apple at https://apple.co/48cS6eB

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Building on the expansive take for software industry, Are we at the cusp of 3rd stage of software play in enterprises? Stage 1 - Recruit software engineers and then build ( manage) custom software which does core and non-core of my business. This phase got optimized with Indian IT services companies using extended workday and abundant skills at lean price-points. Stage 2 - Buy the products off the shelf (with some customization for my business) for some (mostly non core but increasingly core) part of my business. This got optimized with products moving to cloud and maturing SAAS offerings. Stage 3 - Create custom software using AI Agents which are core to business which are just having features/functionality for me. As the marginal cost of code creation is tending to zero( (or at least to cost of compute/storage), why pay for product features which i do not use? Is the stage is set for next gen IT services companies which will help enterprises to move from stage 1/2 to stage 3? #AIagents #edgeverve

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A few thoughts on #LLM usage in the small, prompted by my toying with #llama3 and #phi-3 on consumer hardware.

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AI is revolutionizing operational effectiveness in the Retail Industry—are you prioritizing the right roles to maximize impact? Explore Reejig’s 2025 AI Strategies to Boost Operational Effectiveness with prioritized roles for AI based on: 🔷 AI Potential Index (AIPI) 🔷 Operational Efficiency Index (OEI) 🔷 Time to Benefit Realization (TBR) In the Retail Industry, top roles to prioritize are: 1️⃣ Cashier/Checkout Operations: Automate checkouts to save time, reduce costs, and improve customer satisfaction. 2️⃣ Inventory Management: Streamline restocking and forecasting to cut costs and prevent stockouts. 3️⃣ Warehouse Coordinators: Enhance efficiency with AI tools for tracking and order fulfillment. Download the full blueprint for actionable insights tailored to the Retail Industry: https://lnkd.in/gTvncPGX This is your moment to lead responsibly. hashtag #ZeroWastedPotential hashtag #WorkforceReinvention hashtag #OperationalEffectiveness

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We set out to find out how generative AI’s emergence has impacted enterprise tech. So we surveyed more than 1800 decision makers about if they are using AI, how they are using it, and its significance in their organizations. Review our State of Generative AI Survey findings to learn what we discovered. https://lnkd.in/gmaeRB27

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The good folks at Manning Publications Co. are running a Deal of the Day discount on the early access for my book 'A Simple Guide to Retrieval Augmented Generation' You can subscribe to the live book while it is in development here - https://mng.bz/jXJ9 What you'll learn? This book is for technology professionals who want to get introduced to the concept of Retrieval Augmented Generation and build LLM based apps. It will prove to be a handy book for beginners as well as experienced professionals. You'll also get an opportunity to code along in python but the book is intended for non-coders as well. From introducing the technique to building RAG pipelines in production, in 9 chapters the book covers the following - Chapter 1 - Large Language Models and the Need for Retrieval Augmented Generation [First draft Released] Chapter 2 - RAG-enabled systems and their design [First draft Released] Chapter 3 - Indexing Pipeline : Creating a knowledge base for RAG based applications [First draft Released] Chapter 4 - Generation Pipeline: Real time interaction for contextual responses Chapter 5 - RAG Evaluation : Checking accuracy, relevance and faithfulness Chapter 6 - Evolving RAGOps Stack : Technologies that make RAG possible Chapter 7 - Progression of RAG systems : Naive to Advanced to Modular Chapter 8 - Nuances : Comparison with fine-tuning, multimodal and agentic RAG Chapter 9 - Cutting Edge : Best practices and further exploration Why join MEAP? By joining the Manning Early Access Program, you'll get: - Immediate access to the book's current draft and all future updates - A chance to provide feedback and shape the final content - Exclusive discounts and early-bird offers Thank you for your continuous support. I hope you find this book as exciting and informative as I have found writing it. Please let me know in the comments below what you think about the book or if you have any questions around the Early Access Program

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🌟 Exciting News! 🌟 📢 In an exclusive interview, I had the privilege of speaking with Dr. Sam Li Weixian, former Chief Data Officer (CDO) of Sinar Mas. We dove deep into the world of data strategies and analytics in Singapore businesses, and let me tell you, the insights he shared were mind-blowing! 🤯 🔍 Dr. Sam emphasized the need to bridge the gap between tech and non-tech professionals when it comes to working with data. As a CDO and tech leader, he faced challenges aligning technology with business objectives and assessing the resources needed for data and AI strategies. But he conquered them all! 💪 🔐 Data governance, data architecture, and data culture were also key topics we discussed. Dr. Sam explained that data governance varies across countries and industries, with a focus on privacy and security. Data architecture involves engineering work to make data transmission more efficient and reliable. And data culture? Well, that's all about accepting and utilizing data in our work. It's a game-changer! 📊 🚀 Now, let's talk about the role of data analytics in business success. Dr. Sam highlighted its importance in providing immediate insights and validating intuition. We explored the different use cases of AI and next-gen technologies in Singapore-based businesses, with a special focus on AI governance and ethical considerations. It's all about driving innovation-oriented leadership goals! 🌍 🎓 As a C-Suite tech and data leader, Dr. Sam shared his learnings with us. He emphasized the importance of understanding how data helps others and aligning technology with business objectives. Transparency, delegation, and continuous learning are also key in tech leadership. 📚 💡 This interview provided valuable insights into data strategies, AI adoption, and the role of data analytics in driving business success. It's a must-read for all thought leaders and C-level executives! So, what are you waiting for? Check it out and let's discuss in the comments below! 👇 #DataStrategies #AIAdoption #BusinessSuccess #TechLeadership #Innovation #Insights

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The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. Recent insights from McKinsey & Company highlight a surge in generative AI adoption across various industries, revealing transformative effects on business operations and strategy. Key Takeaways: - Widespread Adoption: From startups to multinationals, organizations are leveraging AI to innovate and enhance workflows, particularly in sales and marketing. - ROI Generation: Strategic investment in AI is not just about cost savings; it's increasingly about driving revenue growth. - Personal to Professional: The integration of personal AI usage into professional settings is creating new opportunities for efficiency and creativity. My take is that with the latest announcements from Apple, this will accelerate - Challenges Remain: Despite the progress, concerns around data accuracy and legal complexities persist, though they are diminishing as technology advances. This is not surprising as innovation is hard. Hallucinations & inaccuracies in my opinion will disappear more and more as people get used to GenAI, Prompting and models get better - Strategic Approaches: Companies are opting for configurable off-the-shelf AI solutions rather than building from scratch. I'm very convinced that's the best strategy to apply All in all, it shows it is still the early days for adoption but companies are finding success much faster than before. I think the future is bright for companies that adopt faster than others. #GenerativeAI #DigitalTransformation #AIinBusiness #TechLeadership #Innovation #ArtificialIntelligence #TechTrends

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https://lnkd.in/gud4cHvj Came across this small 5-min #editorial piece while going through a rabbit hole of ways to identify and pitch #GenAI use cases to leadership. Thought of re-sharing

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🎙️ New Podcast Episode: All About Data with Sathish KS 🎙️ In this insightful episode of hashtag #ProductTalkwithMalthi, we had the pleasure of chatting with Sathish K S, CTO at Zeotap, a leading Customer Data Platform provider. Sathish shared his journey in the data space, starting from his Cisco days to leading hashtag #datatransformations across #MarTech, #AdTech, and anti-fraud domains. Key Takeaways: 👉 Data Platforms: The New Gold Rush – Learn how to turn raw data into actionable business power. 👉Cracking the Data Code – Why most companies are stuck and how to break free from data paralysis. 👉Mastering Data Product Management – Think beyond the obvious and manage AI’s unpredictable ripple effects. 👉Privacy vs. Innovation – How to win customer trust while pushing the boundaries of data-driven innovation. 👉The Next Big AI Wave – It’s more than just algorithms; discover the complete ecosystem shift shaping the future. Whether you're navigating the complexities of data silos or exploring the future of AI, this episode offers a masterclass on leveraging data for business success. Don't miss out on these valuable insights! 💡 Check the episode here: YouTube : https://lnkd.in/gH4bhNKz Spotify https://lnkd.in/gHQRckCw Apple Podcasts https://lnkd.in/gVfMaeTn Share, comment and Subscribe hashtag #DataDriven #AI #ProductManagement #Podcast #TechTalks Tanwistha Gope SparkProd Consulting Private Limited

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