Krishna Chaitanya Chintalapudi

Snowflake India MD Vijayant Rai shares how the company is unifying data, advancing AI innovation, and skilling the next generation for a data-first India. Read this article by Shrikanth Govindarajan: https://lnkd.in/gGta-Rx2 #Dataquest #DigitalIndia #AI #SnowflakeIndia #Innovation #VijayantRai

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#CIO #CTO #CDO #semanticlayers Finally, AI comes to reality for enterprises. Enterprises deal with fragmented processes, data, systems, and tech debt. Data governance is an Achilles' heel, and talking about the semantic layer is a nightmare. OpenAI Frontier builds a semantic layer that connects data warehouses, CRM systems, ticketing tools, and internal applications, giving AI agents a consistent view of how work flows through an organization. This is music. There is no #AI without #InformationArchitecture A million dollar question,should we outsource our data aka IP to OpenAI? What about #Governance and #privacy and for a company that is pretty low on it https://lnkd.in/gsMJv2RZ

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A proud milestone in our journey with Databricks. Tredence is a launch partner for Databricks Lakebase.   We see Lakebase as the nervous system for real-time #ML and #AI, bringing transactional data, analytical insights, features, and models together with millisecond latency to power grounded, production-grade intelligence.   As a launch partner, we’re working hands-on with enterprises to modernize operational databases, build real-time, AI-native applications, and deploy agentic AI workflows on a single, governed foundation, where AI can reason, act, and adapt with trusted context. This partnership gives us a front-row seat to shape how the next generation of AI-native platforms is architected, not just imagined.   Excited to help define what real-time AI at enterprise scale looks like with Databricks. https://lnkd.in/gQK3TgDB Jason Y. | Amit Singh | Christine Gauthier | #Tredence #Databricks #BeyondPossible    

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Snowflake building a more integrated, insight-driven partner ecosystem “Our vision is to build a more integrated, insight-driven partner ecosystem one that thrives on co-creation, innovation, and measurable outcomes,” says Mr. Dhiraj Narang, Director and Head of Partnerships - India, Snowflake. Snowflake’s partner strategy is anchored in aligning corporate growth with ecosystem evolution. Through initiatives like SPN Learn, an on-demand training and certification platform, and the Partner Champions Program, Snowflake enables partners to stay current on the latest innovations in AI/ML, Snowflake Intelligence, and Data Engineering. 🔗 Read the full story on VARINDIA: https://lnkd.in/g-cWms7k Dr.Deepak Kumar Sahu,PhD #Snowflake #PartnerEcosystem #DataCloud #AI #Innovation #ChannelLeadership #Collaboration #PartnerGrowth #VARINDIA

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“𝐎𝐮𝐫 𝐆𝐨𝐚𝐥 𝐈𝐬 𝐓𝐨 𝐌𝐚𝐤𝐞 𝐓𝐡𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐓𝐡𝐞 𝐍𝐮𝐦𝐛𝐞𝐫 𝐎𝐧𝐞 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐅𝐨𝐫 𝐃𝐚𝐭𝐚 𝐀𝐩𝐩𝐬 𝐀𝐧𝐝 𝐀𝐈” In this exclusive interview, Rajeev Ranjan, Editor, Digital Terminal exclusively talked to Dhiraj Narang, 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫 𝐚𝐧𝐝 𝐇𝐞𝐚𝐝 𝐨𝐟 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬-𝐈𝐧𝐝𝐢𝐚, Snowflake, to explore how Snowflake’s robust partner ecosystem is driving data innovation and AI adoption across Indian enterprises. He also discusses the key challenges CIOs and CTOs face in navigating AI and cybersecurity, and offers valuable advice for organizations aiming to thrive in the AI era. 𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞👉https://lnkd.in/gddzFAri #ExclusiveInterview #AIAdoption #SnowflakeIndia #ChannelPartnerNetwork #AITransformation #DataInnovation #Dataapps #Digitalterminal | Sridhar Ramaswamy | Denise Persson | Mike Blandina | Vivek Raghunathan | Jyoti Janda | Rajeev Ranjan

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Info-tech | India is growing at a much faster pace than global markets for us, signalling that the adoption of Enterprise AI and managed data cloud platforms is leapfrogging here, Snowflake India MD Vijayant Rai said. Read more: ⬇️ https://trib.al/PweHDwR

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Too many pilots stay stuck because pipelines are reactive, governance is patchy, and context for LLMs is missing. On 3 Sept, join my colleague Dan Anamitra (Sr. Director, Data Engineering & Analytics, Innominds) for a practical session on how enterprises move from motley data to AI-ready, governed platforms. Webinar: From Motley Data to AI Direction: Engineering the Backbone for Enterprise Intelligence. Register: https://lnkd.in/gMjkWfDH Why this matters (and what you’ll learn): How to ingest, validate, and act on data in real time—not in after-the-fact batches Building the context layer that powers copilots, LLMs, and autonomous workflows at scale Modernizing legacy without a big-bang rewrite—patterns that actually ship Governance that’s built-in (lineage, compliance, drift controls), not bolted on Event-driven, cloud-native architectures that translate to outcomes, not just diagrams Real enterprise stories you can reuse on Day 1 If you’re a CIO, CDO, Head of AI/Data, or Architect trying to get models from demo to dependable production, this hour is for you. Jagan Dunna Arijit Ray Sajin Nair

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In Episode 11 of Enqurious TV, Mansi Mutreja spoke with @Amit Kumar, Senior Data Manager with 20 years of experience in data engineering, about what actually works in real-world systems. We break down: • Why data ingestion is harder than it looks • When not to build real-time pipelines • Kafka lessons from early adoption • How ClickHouse enables real-time analytics • Cutting ETL costs from $5,000/month to $500/month • Why SQL still wins • AI in engineering: good slave, bad master One key insight: Most teams build for scale before they validate business need. That mistake is expensive. If you're building data platforms or growing in data engineering, this one is practical and battle-tested. Link in comments.

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𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭 | 𝐒𝐮𝐫𝐞𝐬𝐡 𝐂𝐡𝐚𝐧𝐝 A defining leadership milestone as Suresh Chand steps into the role of Director of Architecture and Engineering at ZS. With deep expertise in enterprise architecture, GenAI innovation, and large-scale engineering delivery, Suresh will lead AI-driven architecture initiatives for Life Sciences clients building scalable GenAI and Agentic AI solutions across clinical data, biometrics, and regulatory documentation. Previously, as Senior Manager Machine Learning Engineering at Accenture, he drove pre-sales, solution architecture, MLOps, and production-grade AI deployments across pharma, healthcare, banking, and CPG sectors. His earlier leadership stints at Cerner Corporation, Nokia, and Tech Mahindra further shaped his expertise in big data engineering, cloud-native platforms, and enterprise-scale systems. Congratulations to Suresh on leading at the forefront of AI-led transformation. #LeadershipAppointment #AILeadership #GenAI #EnterpriseArchitecture #LifeSciences #CXOLanes Vivek Bhattacharya | Priya Kurup | Kaumudi Vaidya | Archana Jaiswar | Dimpal Vishwakarma | Ashfiya Mujahid | Shaikh Nusrat Jahan | Snehashish Chakkravarty | Sanchaita Pujari | Zaina Shemle | SkillTech | SKILL AI | Kartik Joshi | Ritesh Alim | Bimalendu Adhikari | Pravin kumar pujari

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Naveen Rao, a key figure in the AI sector and the visionary founder of Databricks Mosaic Research, has announced his departure from his position as AI Chief at Databricks. In a strategic move, Rao is launching a new startup with the goal of creating next-generation computers designed to tackle the escalating costs of AI computation. This initiative signals a commitment to solving one of the most pressing challenges facing the industry today. Read more: https://lnkd.in/edmh7p3V Shwetank Verma Gaganpreet Luthra Rajul Garg Ravi Srivastava Dinesh Singh

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Suresh Chand has been appointed as Director of Architecture and Engineering at ZS. This appointment marks a defining leadership milestone, recognizing his deep expertise in enterprise architecture, GenAI innovation, and large-scale engineering delivery across regulated industries. Congratulations to Suresh on stepping into this strategic role at the forefront of AI-led transformation. In his current capacity, he leads architecture and engineering initiatives for Life Sciences clients, driving scalable GenAI and Agentic AI solutions across clinical data, biometrics, and regulatory document generation. Prior to this, he served as Senior Manager – Machine Learning Engineering at Accenture in India, where he spearheaded pre-sales, solution architecture, MLOps, and production-grade AI implementations across pharma, healthcare, banking, and CPG sectors. His earlier career spans leadership roles at Cerner Corporation, Nokia, and Tech Mahindra, building a strong foundation in big data engineering, cloud-native platforms, and enterprise-scale system architecture. #LeadershipAppointment #AILeadership #cxolanes

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“Elastic has become PepsiCo’s gold standard for telemetry ingestion, correlation, and resolution velocity. It now sets performance baselines across our observability ecosystem.” — Vinod Chilakalapudi, Director - Observability at One PepsiCo Operations Center See how PepsiCo standardized with Elastic to achieve Full Stack Observability, cutting incident resolution times by 30% and hardware costs by up to 25% annually: https://gag.gl/uQmBXk

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Suresh Chand has been appointed as Director of Architecture and Engineering at ZS. This appointment marks a defining leadership milestone, recognizing his deep expertise in enterprise architecture, GenAI innovation, and large-scale engineering delivery across regulated industries. Congratulations to Suresh on stepping into this strategic role at the forefront of AI-led transformation. In his current capacity, he leads architecture and engineering initiatives for Life Sciences clients, driving scalable GenAI and Agentic AI solutions across clinical data, biometrics, and regulatory document generation. Prior to this, he served as Senior Manager – Machine Learning Engineering at Accenture in India, where he spearheaded pre-sales, solution architecture, MLOps, and production-grade AI implementations across pharma, healthcare, banking, and CPG sectors. His earlier career spans leadership roles at Cerner Corporation, Nokia, and Tech Mahindra, building a strong foundation in big data engineering, cloud-native platforms, and enterprise-scale system architecture. #LeadershipAppointment #AILeadership

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Snowflake CEO Sridhar Ramaswamy has identified India as a critical growth engine in the company's global expansion strategy, emphasizing the country's pivotal role in driving the data cloud platform's business across Asia-Pacific and beyond. Read More: https://lnkd.in/gn_B63eD #Snowflake #SridharRamaswamy #TechLeadership #GlobalExpansion

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Tredence Inc. last month published our Agentic AI Playbook (https://lnkd.in/g7RMvWEK), and now comes the Milky Way Agentic AI decision platform that turns concept into reality. Go beyond PowerPoints and POCs to production systems that deliver tangible business impact.

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🇮🇳 The New Digital Imperative: Building GCCs in India for Data & AI Sovereignty In today’s interconnected world, data has become critical infrastructure, and AI capabilities are increasingly recognized as essential for competitive advantage and national resilience. We’re witnessing a global race for AI leadership. Nations and enterprises that don’t control their data pipelines and AI development ecosystems risk becoming dependent on external infrastructure—a vulnerability that extends beyond business to strategic considerations. This is why establishing Global Capability Centers (GCCs) in India represents a compelling opportunity for both organizations and the broader digital ecosystem. India uniquely combines world-class talent in data and AI, strong digital infrastructure, and a track record of trusted partnerships with global enterprises. By localizing data processing, AI model training, and compliance frameworks within India, GCCs can achieve three critical goals: • Data Sovereignty — Maintaining control over sensitive information and intellectual property • Responsible AI Development — Embedding ethical practices and governance into model training from the ground up • Strategic Resilience — Building diversified, geopolitically balanced capability infrastructure The future of competitive advantage will be determined by who controls their data ecosystems and AI development capabilities. GCCs in India offer a pathway to build this independence while contributing to a more resilient, transparent, and trustworthy global AI landscape. #DataSovereignty #AISovereignty #GCCIndia #DigitalStrategy #AIGovernance #TechLeadership #StrategicResilience

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Data democratization is critical for organizations aiming to maximize data value and accelerate innovation. Making high-quality data accessible across teams eliminates silos, speeds up decision-making, and sets the stage for AI-driven growth.    Chetan Mathur, CEO of Next Pathway, explains how Snowflake’s unified platform empowers secure, organization-wide data sharing, enabling smarter decisions and long-term success.    Next Pathway leads Snowflake migrations with deep expertise and advanced automation, ensuring a seamless transition from legacy systems to the cloud.    See how Snowflake and Next Pathway are transforming enterprise data strategies. Read the article: bit.ly/3xDHura.    #NextPathway #SHIFTCloud #CloudAutomation #CloudMigration #Snowflake  #Onelake #DataFactory #AzureSynapes #Informatica #ETL #AI #Aiautomation #GenerativeAI 

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