Nitin Srivastaavaa

Join me at the Smart Manufacturing Forum and the Data & AI summit in Canary Wharf London on the 14th of November. I will be doing a keynote detailing how AI is changing Smart Manufacturing and what the future looks like. In a fast moving but in-depth conversation, I'll be covering AI's impact on efficiency in manufacturing and supply chain, predictive maintenance and sustainability, while also diving into the fascinating topic of Digital Twins. We will discuss an amazing new technology approach that promises to re-do the landscape of Data and AI in manufacturing - you'll have to join us to see what I'm talking about! Join us - see you there. #SmartManufacturingForum #DataAndAI #Innovation #DigitalTransformation #CXOCircle #Leadership

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✨ Data for AI Leaders Roadshow Abstractions ✨   One dynamic month of public speaking, client (CDAO) connects, learnings. Multiple forums - AWS DataCon, Informatica World Tour, HETT Show, Snowflake World Tour; 100+ client and prospect conversations.   My abstractions:   AI | GenAI reality check - After we get past the "How great my AI use case ('experiment' is what most mean) is" narrative, the real conversation and learning begins, when leaders face the brutal facts that there is work to be done.    Pre-requisite for Scaling AI - Health | Wealth | Consumers | Citizens - Whichever domain you belong to, if you don't have "ready" data for AI, forget about scaling AI use cases. No mind-blowing product can scale AI unless- you know where to look to start navigating this puzzle.    'Lego'fying the foundation - Often data becomes the blocker for AI scaling. Productised data can become the catalyst to scale.    Trust worthy data and AI - Transparent, responsible, explainable, fair structures, policies, which can be set and monitored are key to a healthy data + AI scale-worthy solution    AI for Data and Data for AI - Data needs AI to solve it's problem. AI needs Data to solve its problem. You separate both - you lose the plot.    Data + AI portfolio value - It is no longer data value assessment, or AI value assessment, but the vertical integration of the Data + AI portfolio value, to make CDAOs win the AI race.    Double click on each of these topics with us. Let's learn more from each other. #data for #genAI, #responsibleAI, #artificialintelligence Sriram Narasimhan, Pushpa Ramachandran, Ashish Sharma, Ajay Upadhyay, Balasubramani Harikrishnan, Bijoy C, Soumya Chowdhury, Prakash K., Sukhvinder Phalora, Hema Hariharan, Jayakumar Rajaretnam, Tushar Marathe, Antonio Sawaya, Nishant Jain, Varun Khanna, Sangeeta Kar, Debojit Biswas

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At #Cypher2024 the session led by Pradeep Gulipalli, Co-Founder & CEO at Tiger Analytics, India, emphasized the transformative role of AI in data management. Highlighting how AI is simplifying complex data generation processes in consumer goods companies, the discussion underscored the creation of foundational and analytical data products to streamline data across the supply chain. AI is automating tasks like data ingestion and cleansing, cutting down manual efforts by 50-75%, and ensuring 24/7 access to clean, business-ready data. This integration marks a new era in using AI to manage and leverage data effectively, said Pradeep.

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Shining a Light on the Unsung Hero of Advanced Analytics Thanks, #Cypher, for the opportunity to engage with such a forward-thinking community! While #AdvancedAnalytics, #AI, and now #GenAI often steal the spotlight, it's important to recognize the unsung hero behind their success: a strong #datafoundation. Without clean, reliable, and well-structured data, these advanced technologies can’t deliver their full potential. The real magic happens when the hard work of building and maintaining that foundation meets cutting-edge innovation. Let’s start glorifying the backbone of analytics success—the foundation that makes everything else possible! What’s your take on balancing innovation with foundational excellence? #DataFoundation #AI #GenAI #AnalyticsMaturity #DigitalTransformation #Innovation

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While most dashboards expect the user to explore and find their own insights, data stories come with a preset storyline presented in an engaging manner. As Nobel laureate Daniel Kahneman famously said, “No one ever made a decision because of a number. They need a story.” #datastorytelling #datavisualization #analytics #businessintelligence

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As we are approaching the final quarter of the year, I’ll be sharing some of observations and fault lines with the genAI trend observed in retail. There are many nuances to this but here are three to start: 1) No Data strategy. Companies that did not take their data strategy seriously will struggle taking their genAI strategy seriously. This is a first principle. GenAI strategies will agonize without a centralized semantic layer and a clear meta data strategy (among other things). We are no longer data modeling exclusively for humans, we are enabling a level of semantic rigor for AI agent consumption. Disparate data sources will also lead to missing opportunities to unlock the power of unstructured data sources, and to release differentiating hyper-tailored customer experiences to name a few.   2) Resources: This could be either in internal skillsets both technical and business, partnerships or cash. Those new to the AI discipline, introduced to it via the openAI web platform, may now be finding themselves tackling complicated AI systems and strategies. And thus finding out quickly that it turns out moving useful AI products into production is not easy. For those who have been working in the areas of data science/ML/AI for years will tell you this is no surprise, it was never easy. Many are now realizing that it is much easier to describe reality than to approximate it. And that innovative ideas can come from places that might be least expected, and absent from the expected. As genAI allows for the democratization of innovative workflows, this leads to the insight that the way we work, what we might have traditionally valued, is changing. 3) Design: A common issue with enterprise design is the misapplication of traditional assumptions rooted in deterministic systems that do not learn in any meaningful way. Rather consider probabilistic systems that can handle uncertainty and scale the intelligence of the system. Considering a focus on peer to peer agent communication. This will potentially lead to AI agents negotiating their own communication protocols as the intelligence of the system scales. This in part allows for the emergent behavior of collective intelligence whereas the system potentially transforms from a clock-like system to a dynamic beehive-like network. Those are a few quick takes and there are many more, I’m curious to hear any other observations from those in the field.

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Coming up next week, a practitioners point of view on #monetizing #data at scale. Building a #datadriven #organization Ajin Pisharody #Retailtech Niladri Roy and Associates Neelabjo Roy

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🚀 Last Tuesday marked the introduction of 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭'𝐬 𝐠𝐫𝐨𝐮𝐧𝐝𝐛𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐕𝐀𝐒𝐀-𝟏. Let's dive deeper into this cutting-edge technology: 𝐕𝐀𝐒𝐀 𝐢𝐬 𝐚 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐛𝐲 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐟𝐨𝐫 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐥𝐢𝐟𝐞𝐥𝐢𝐤𝐞 𝐭𝐚𝐥𝐤𝐢𝐧𝐠 𝐟𝐚𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝐚𝐩𝐩𝐞𝐚𝐥𝐢𝐧𝐠 𝐯𝐢𝐬𝐮𝐚𝐥 𝐚𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 (𝐕𝐀𝐒) 𝐠𝐢𝐯𝐞𝐧 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐬𝐭𝐚𝐭𝐢𝐜 𝐢𝐦𝐚𝐠𝐞 𝐚𝐧𝐝 𝐚 𝐬𝐩𝐞𝐞𝐜𝐡 𝐚𝐮𝐝𝐢𝐨 𝐜𝐥𝐢𝐩.   - Synchronised lip movements with audio, 𝐞𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐢𝐭𝐲   - Wide range of facial nuances and natural head movement, 𝐞𝐧𝐫𝐢𝐜𝐡𝐢𝐧𝐠 𝐥𝐢𝐟𝐞𝐥𝐢𝐤𝐞𝐧𝐞𝐬𝐬   - Superior performance across various dimensions, 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐯𝐢𝐝𝐞𝐨𝐬 This technology holds immense potential across various domains:  - 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Enhance virtual assistance, improving user engagement and interaction  - 𝐆𝐚𝐦𝐢𝐧𝐠: Create realistic facial animations for virtual characters enhancing the gaming experience  - 𝐄𝐧𝐭𝐞𝐫𝐭𝐚𝐢𝐧𝐦𝐞𝐧𝐭: Filmmakers can use it for synchronised lip movement and facial dynamics  - 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Create interactive tutorial with lifelike facial expressions and speech capabilities While VASA presents innovative opportunities, there are scenarios where its application may be perceived as unsettling or inappropriate. Few use cases:   - 𝐃𝐞𝐜𝐞𝐩𝐭𝐢𝐯𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Creating virtual characters for deceptive purposes or spreading misinformation can erode trust and lead to ethical concerns  - 𝐃𝐞𝐞𝐩𝐟𝐚𝐤𝐞𝐬: Creating videos for malicious purposes, manipulating public figures' images and voices without their consent Overall, it's essential to critically assess the appropriateness and potential impact of using VASA in various contexts, ensuring its application aligns with ethical principles, respects individuals' rights and privacy, and avoids causing harm or discomfort. For this, 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐡𝐚𝐬 𝐫𝐞𝐜𝐞𝐧𝐭𝐥𝐲 𝐬𝐡𝐨𝐰𝐜𝐚𝐬𝐞𝐝 𝐕𝐀𝐒𝐀'𝐬 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐛𝐮𝐭 𝐡𝐚𝐬 𝐧𝐨𝐭 𝐲𝐞𝐭 𝐦𝐚𝐝𝐞 𝐢𝐭 𝐩𝐮𝐛𝐥𝐢𝐜𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐮𝐧𝐭𝐢𝐥 𝐭𝐡𝐞𝐲 𝐚𝐫𝐞 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭 𝐢𝐧 𝐢𝐭𝐬 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐮𝐬𝐞. Let me know what you think of this technology and where it can be used/misused according to you. 𝐏𝐚𝐩𝐞𝐫: https://lnkd.in/d3PjJVjC #microsoft #ai #visual #technology #vasa #innovation #ethics #deepfakes #visualbots #dalle #advancement

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At Diggibyte Technologies Private Limited, we don’t just integrate systems; we accelerate your entire data journeywith a strategic combination of industry expertise, fast deployment, and AI-powered capabilities. By unlocking the full potential of platforms like Databricks, we enable organizations to drive innovation, enhance operational efficiency, and achieve faster time-to-value. Our approach ensures that your data and analytics strategy aligns seamlessly with your business goals, empowering you to make data-driven decisions and stay ahead of the competition. Ready to take your data strategy to the next level? Reach out today, and let Diggibyte transform your data journey into a competitive advantage! 🚀 #DataTransformation #DataAnalytics #AI #AzureDatabricks #DataOps #Innovation

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AIM Research recently collaborated with USEReady to release a research report on the topic - 'Retiring Legacy and Modernizing Analytics Systems Among Enterprises'. This comprehensive survey report explores the transformative shift from legacy BI systems to modern BI systems among large enterprises across various industry sectors. Some of the key findings of the survey report: ⁍ A significant number of organizations (82.8%) recognize the need to migrate from legacy to modern BI systems ⁍ 54.3% respondents are planning to migrate away from legacy to modern BI systems within the next 12 months ⁍ CXOs are deeply involved in migration decisions (94.3%), with 54.3% of the time the decision being solely made by them ⁍ The majority of organizations (68.6%) prefer cloud-based solutions for transitioning their legacy systems to modern BI systems ⁍ Most organizations (70.6%) across sectors expect a small reduction (0-25%) in the size of their analytics teams with the adoption of modern analytics solutions ⁍ Most organizations (77.1%) prefer a phased approach to migration from legacy to modern BI systems Uday Hegde Harjot Singh Kohli Bhasker Gupta Kashyap Raibagi Read the complete report here: https://lnkd.in/eAaiCqXu #SurveyReport #AIMResearch #ModernBISystems #USEReady #LegacytoModernBISystems #AIM

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Be it Kaushik's or Pareto's, the concept resonates a lot with me. Technology alone isn't the answer and digital transmission is not just another empty exercise. Being able to understand and leverage to the maximum what is available (data, tech, processes) is the art and should get the appropriate focus. Here, looking at the right thing, priorities and objectives is the key to drive a successful acceleration and business results. #digitaltransformation

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💡 Unlocking AI with Snowflake Cortex AI, Snowpark, and Streamlit Revefi recently hosted a live deep dive session into Snowflake Cortex AI with Shankar Narayanan SGS and Vivekanandan Srinivasan the authors of the book “Ultimate Guide to Snowpark". During this session, Girish Bhat and the authors explored how Snowpark simplifies AI workflows and how Streamlit allows fast app development for data teams. 🌟 Read the full blog for insights: https://lnkd.in/g8yD8eMN

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Sometimes, the richest insights are brewed over a cup of coffee. Today, a coffee shop became the backdrop for a profound mentorship session with my senior supervisor Duminda Jayathilake (Snr.AVP + principal analytics delivery) OCTAVE - John Keells Group His candid observations on me and seasoned guidance on work, life, and career growth were both illuminating, inspiring and fueling the progress I’m grateful for a mentor who not only shares wisdom but also invests time in my journey. #Mentorship #CareerGrowth #Inspiration"

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Unlock the Power of Data Products with the Model-First Approach! Join our CTO Animesh Kumar at #CDOIQ2024 to learn how to build impactful Data Products that drive business value! Discover: > How to shape data requirements for productized outcomes > Creating clear pathways from data to measurable impact > Achieving faster business alignment and value delivery Session 15-F (Virtual) Cracking the Data Product Code: The Model-First Approach to Building Impactful Data Products 4:45 PM - 5:30 PM Don't miss this opportunity to transform your data strategy! #CDOIQ2024 #DataProducts #ModelFirstApproach #DataStrategy

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Looking forward towards sharing and learning best data practice,discuss insights and meet the best and like minded leaders in the industry . See you there ! #ETCIO #ETCIODSS #DataAnalytics #CIO #BusinessLeaders #DataStrategy #ITLeaders #ITSummit #TechInnovation #ETCIODSS #analytics #india #data

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Feeling overwhelmed by the rapid changes in data science driven by Large Language Models? 🤔 📌Become a part of the discussion: https://hubs.la/Q02yqkR70 Join us for an interactive live session with Srik (Srikanth) Gorthy, Senior Data Scientist at ByteDance., as he addresses the critical pain points data scientists face today, from adapting to new technologies to mastering essential skills for the future. Attendees will: 🔹Learn which data science skills are becoming indispensable in the LLM era 🔹Discover how to effectively combine traditional data science techniques with LLM capabilities for enhanced strategic planning 🔹Gain clarity on which tasks LLMs can automate and which ones still need human expertise, with practical examples #DataScience #MachineLearning #ArtificialIntelligence #TechTrends #ProfessionalDevelopment

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Discover how Generative AI is driving the next wave of analytics in this insightful presentation. Join Mayank Rijhwani from Kyvos Insights and Rajaram Balasubramaniam from Aavas Financiers Limited as they explore innovative analytics solutions powered by Gen AI. Learn how these advancements are transforming data analysis and decision-making. Don’t miss this opportunity to see the future of analytics unfold! Watch Now: https://lnkd.in/gSzkYBdz #ETCIO #ETCIODSS #DataAnalytics #CIO #BusinessLeaders #DataStrategy #ITLeaders #ITSummit #TechInnovation

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