Bhargava Ramadas

Meet with ZS at #InformaticaWorld24 to learn how we are enhancing enterprise data management and leveraging gen AI. Book a meeting here: https://bit.ly/3Ub3x0P #datagovernance #datamanagement #artificialintelligence #AI

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It was a grand start to snowflake data cloud summit'24. Wipro is uniquely positioned on the joint partnership with Snowflake and Nvidia in 3 areas: 1. AI and Machine Learning Integration: Wipro's WDIS powered by Snowflake’s data capabilities and NVIDIA’s GPUs to accelerate data processing and analytics, leading to faster insights. • AI Model Training: NVIDIA’s GPUs can significantly speed up the training of AI models on data stored in Snowflake, reducing time-to-market for AI-driven solutions. (Sridhar Ramaswamy spoke about "moving computing to data than data to the computer and Cortex AI next to data" ) • Inference at Scale: Combining Snowflake’s scalable data platform, with Wipro's WEGA framework and NVIDIA’s inference capabilities can enable real-time AI applications 2. Enhanced Data Work Load Processing • GPU-Accelerated SQL: Integration of NVIDIA’s RAPIDS libraries with Snowflake can enable GPU-accelerated SQL operations, along with seamless integration of WDIS • Complex Data Workloads: Leverage NVIDIA’s powerful GPUs to handle complex data workloads with Snowflake’s ecosystem and Wipro's WDIS 3. Industry-Specific Solutions • Healthcare : Use cases where Snowflake’s data sharing and analytics capabilities can be combined with NVIDIA’s AI tools to drive integrated value based care in health. • Financial Services: Wipro's fraud detection, risk management, and high-frequency trading by combining Snowflake’s data capabilities with NVIDIA’s AI technologies. • Retail and E-commerce: Enhance customer insights, recommendation systems, and inventory management using the combined power of Snowflake’s data platform and NVIDIA’s AI and analytics tools. Looking forward to exciting next 3 days and great partnership: Tyler Prince Amy Hirst-Kodl Dan Waters Sundara Ramalingam Nagalingam Scott Sharpley Alvin Da Costa Puneet Khanna Nagendra Bandaru Jason Eichenholz Ravi Seshadhri Narayan Kamat Pushpa Ramachandran Ajay Mangilal Jain Ajay Upadhyay Ashish Sharma Raju Gopalan Balasubramani Harikrishnan Tanusree Saha Anindito De Brijesh Singh Rahul Deshpande

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🌟 Does Your LLMs Precision Give You A Competitive Position? 🌟 Discover how to improve your models precision from iMerit Technology's latest article! https://hubs.ly/Q02F0Vng0 💡 Key Takeaways: Fine-Tuning Essentials: From task definition to model deployment. Data Annotation Best Practices: Ensuring accuracy and mitigating bias. Benefits of RLHF: Targeted improvement, continuous learning, and human judgment integration. #AI #MachineLearning #DataAnnotation #LLM #ReinforcementLearning #TechInnovation #ArtificialIntelligence #DataScience #ModelOptimization

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The trifecta of Digital, Data and AI is redefining our world like never before. While there is unparalleled value to be unlocked, there are equally difficult challenges to overcome. Nitin Seth's #Masteringthedataparadox is one of the most important thought pieces in recent times which delve in extreme depth on the opportunities and challenges of AI and Data age. The book presents a very well thought, practical and cohesive approach for enterprises and individuals to drive transformational impact on business performance, societal evolution and individual capabilities. A must read and a reference book for all those who want to #winintheAIage Incedo Inc. #winninginthedigitalage #AI #digitaltransformation #data

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This is a must read Forbes article by Gary Drenik which highlights on Data Quality For Good AI Outcomes. The piece talks about common data quality challenges faced by enterprises and features insights from Srinivas Atreya, Consulting Data Scientist at Cigniti Technologies. https://lnkd.in/gQ5QZwJY #ai #dataquality

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Interesting demo for those who utilize Snowflake and are progressing on their Gen AI journey. #snowflake #cortex #genai #chatbot

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It's been a lot of fun working with editors on the data engineering track. Yes, they've kept Harini Anand and me on our feet, always thinking of participants' interests. Icymi the schedule, here you go - https://lnkd.in/gTZBfgJv #dataengineering #ML #VectorDBs

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Transform your data strategy by integrating AI effectively. Come join us in our boardroom session with discussion leaders Balaji Doraibabu and Michelle Hoiseth (She, Her, Hers) to discover key touchpoints and practical frameworks for successful AI implementation #AI #DataInfrastructure #DataStrategy #GenAI #Rackspace Technology #Evanta, a Gartner Company #BOSTON CDAO SUMMIT

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Data: The Lifeblood Of AI. #AI Needs Data More Than Data Needs AI #ItheumV2 https://lnkd.in/gFXFCvNC

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The best #Semantic #RAG solution for #genAI webinar starting now. Curious why its the best? Join if you can. Looking forward to the questions!

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Generative AI is transforming the Healthcare & Life Sciences Industry - here is a short video highlighting how Databricks new unified platform is bringing the power of AI into various GenAI scenarios such as patient satisfaction, cost management and traditional medicine. Apex Systems is a Databricks partner helping organizations build, deploy, and migrate their data architecture from traditional structures to new cloud-based structures with our onshore, nearshore and offshore capabilities. #genai #ai #databricks

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A clean platform for understanding Customer Journey Analytics: As I browsed through some of the sessions at the Snowflake Data Cloud Summit 2024, the launch of NetSpring's product and customer journey analytics platform, powered by Snowflake, caught my attention. Although I have yet to try it out, a tour of the platform left me intrigued. The customer journey analytics component alone offers solutions to many of the challenges business leaders face, including: - Understanding user behaviors that drive retention - Analyzing cohorts of user behavior - Tracking user paths within your product, including engagement initiation - Identifying critical conversion flows - Measuring the impact of engagement on retained users The platform's visually friendly analysis is particularly appealing, making it a powerful tool for leaders or teams seeking to streamline analysis without investing significant time. Additionally, the product analytics and ad revenue measurement components add another layer of value. To summarize the key benefits I immediately noted: 🎯 Seamlessly integrates data from all product and customer touchpoints into a unified analytics platform. 🎯 Gains actionable insights into customer behaviors and preferences to inform product development and marketing strategies. 🎯 Utilizes Snowflake's powerful AI Data Cloud to drive cost-effective and trustworthy analytics, eliminating data silos and maximizing ROI. I would be interested to learn how your business could leverage this cutting-edge analytics tool to revolutionize your approach to product development and customer engagement? #DataAnalytics #SnowflakeSummit #ProductDevelopment #CustomerJourney #BusinessInsights #AI #AnalyticsPlatform #DataIntegration #DataDrivenDecisions #MarketingStrategy #ROI #SnowflakeDataCloud #NetSpring #SnowflakePowered #ProductAnalytics #CustomerAnalytics #CustomerExperience #DigitalTransformation #TechInnovation https://lnkd.in/gEiSTqQh

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After five years in a large company, I was eager to do something different. I have decided to venture into a nimbler and futuristic company (Tredence: www.tredence.com) Similar to the digital transformation a few years ago, I expect that the technology market will undergo a significant shift. This shift in AI and data will create a new category of services, much like the digital revolution did a decade ago. In simple terms, we are approaching a crucial turning point. As with any turn, the smaller, more agile entities will navigate quickly, while the larger ones will eventually catch up if they can maneuver the turn effectively. . I anticipate that Tredence will be at the forefront of creating this new category. It's not clear what will this be called or what shape will it take? In my mind, AI/data Services, primarily comprising three key components: - Data Preparation: Ensuring data is ready for analysis and utilization. - Model Development: Creating and training models, leveraging this data. - Model Industrialization: Scaling and integrating models into business processes. These services are poised to deliver disruptive advantages in terms of increased revenue, newer market, and hyper cost efficiency for their adopters. However, undertaking this transformation comes with inherent risks. Therefore, executing it responsibly with appropriate oversight will be paramount. We are building Tredence for this transformative shift. #tredence #AI #Data #Transformation

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According to an industry estimate, about 80% of world’s data is ungoverned - emails, videos, documents etc. whereas, it is this stash of data, along with enterprise data, that will be highly valuable for deriving intelligence with AI/Gen AI. This data is also very noisy (not everything is valuable), dynamic (changes quickly) and fast-growing. Human efforts can’t keep up with this growth and complexity to make this data available, accessible and trustworthy. Industry needs an innovative solution to bring “all” data under management. This will help enterprises put the right governance to ensure value while protecting against the potential downsides (risks wrt privacy, compliance, security etc). I am happy to share the launch of Smart Data Fingerprinting under the banner of Infosys Topaz that helps organizations solve this challenge in a meaningful and purposeful way to get enterprises data-ready for AI. More in the article in Dataversity (link below) on this. Rajeev Nayar Rajan Padmanabhan Gaurav Bhandari Bala Iswarya Swaminathan #Infosystopaz #dataandai #aieconomy

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#GenAI models necessitates training on extensive datasets, which in turn requires robust #cloud storage solutions. As Gen AI continues to advance, demand for cloud services would surge correspondingly, creating a symbiotic growth relationship b/w the two. https://t.ly/9Rg-C

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Read my article on getting the maximum value out of enterprise data, with focus on business growth. #returnondata #valuefromdata #dataengineering #analytics #customersegmentation #customerdataplatform #dataplatform https://lnkd.in/gbHyNWez

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