Tiger Analytics

"Clients are no longer interested only in AI as a pilot or proof of concept. They want AI in production, whether through automation, daily workflows, or agents working together to solve business problems." In an exclusive interview with Dataquest, Pooja Agarwal, Co-founder and Head of Business Operations at Tiger Analytics traces Tiger Analytics' growth journey and translates what this new wave of AI-led disruption augurs for enterprises navigating AI today. The discussion touches upon: 🔸The secret sauce that makes Tiger Analytics a preferred partner for our clients 🔸Why data foundations continue to emerge as a key lever in AI-embedded workflow implementations India's role as a global delivery and talent hub 🔸How various industries are responding to AI innovation and where the opportunities lie 🔸 Why the next phase of AI services will be defined by value, governance, and execution. Read the full interview on Dataquest. Link in comments. #TigerFeatures #EnterpriseAI #DataGovernance #AIFirst #TigerAnalytics

On June 19, at the Tiger AI ChangeMaker 2026 in Bengaluru, we brought together 110+ industry leaders from 60+ organizations for a single, focused purpose: to discuss how enterprises need to "Reinvent the Operating System" using AI. Here is a look at the core themes and moments that shaped the day: - Pradeep Gulipalli, Co-Founder, Tiger Analytics, presented how at Tiger Analytics we are reinventing our own operating system with AI at the core. - Data & AI leaders from organizations such as Mars, ManpowerGroup, L'Oréal, and Kimberly-Clark took us under the hood, showcasing how their enterprises are rethinking processes and delivering value at scale using agents and AI. - Namratha Dharshan, Chief Business Leader, ISG (Information Services Group), spoke about the conundrum enterprises face: needing to both optimize costs and scale AI expenditure while keeping governance and trust central. - The Tiger Analytics innovation teams showcased cutting-edge solutions helping organizations across the lifecycle: data, context, insights, delivery, and business process reimagination. - The day ended with a wonderful talk by Padma Shri Shashi Shekhar Vempati and Alok Agrawal on how AI is reshaping society at scale. A huge thank you to all our speakers, panelists, and attendees who brought their curiosity, experience, and insights to the room!  #AIChangeMaker2026 #TigerAnalytics #EnterpriseAI

We’re pleased to share that ISG has recognized Tiger Analytics as a Leader in Supply Chain Specialty Analytics and AI services. This award reflects the meaningful business outcomes we're helping our clients achieve. Whether it's planning, sourcing, or logistics, we believe the future of the supply chain lies in autonomous, intelligent operations. We're helping enterprises get there by focusing on: 🔸Actionable Insights: Equipping teams with AI-driven decision intelligence to handle real-time disruptions. 🔸Continuous Optimization: Using agentic AI to create self-correcting, adaptive supply chain execution. 🔸Clean Data Foundations: Ensuring data is unified, governed, and business-ready. Thank you to our clients and partners for trusting us with your most critical challenges, and to our teams for your relentless curiosity. More about the recognition: https://lnkd.in/gPUMHzcj Hari Natarajan | Saravana Sastha Kumar | Mohankumar T S #ISG #SupplyChain #SupplyChainAnalytics #AI #AgenticAI #DecisionIntelligence #DataAnalytics #DigitalTransformation #AutonomousOperations #GenerativeAI #TigerAnalytics

Recent insights reflect that while AI adoption is accelerating only about 21% of organizations have strong guardrails in place to manage associated risks How do we align governance more closely with engineering? And more importantly, why? A model can be trained on compliant data and still produce biased outcomes. A system that performs well at launch may drift over time as underlying data changes. Gen AI can produce outputs that are difficult to trace back to a clear decision path, which raises questions around accountability. In her article for CXOtoday, Nandita Gupta, Associate Director, Enterprise Data Management at Tiger Analytics, explains what it takes to close that gap at enterprise scale: 🔸Why AI risk does not stay within the boundaries of any single function. 🔸How governance shifts from periodic review to continuous, integrated oversight. 🔸What transparency, accountability, and fairness look like as operational practice, not just policy. 🔸How a unified control layer connects data, models, and decisions across the enterprise. As enterprises continue to accelerate AI adoption, governance is the foundation that turns AI investments into long-term, compounding business outcomes. Read the full piece on CXOtoday. Link in comments. #TigerFeatures #AIGovernance #EnterpriseAI #DataManagement #TigerAnalytics

How do you make AI literacy everyone's opportunity? As AI becomes embedded in everyday work, organizations have an opportunity to make AI literacy accessible across teams, functions, and levels, helping more people understand it, use it, and grow with it. Vaishnavi Kandala joins the Power Panel at the 28th NHRDN National Conference for a conversation on 'AI Literacy Is the New Power Divide', covering how ethical governance and risk compliance are redefining leadership as human and machine intelligence converge. The panel will look at why AI literacy cannot sit only with data teams, what it looks like across frontline workers, managers, and executives, and how organizations can build it as a shared capability across every level of the business. Catch the panel discussion at ITC Grand Chola, Chennai, from 12:20 PM to 1:20PM IST, on June 26, 2026. Register today https://lnkd.in/gc9VszAu #AILiteracy #ArtificialIntelligence #FutureOfWork #NHRDN2026 #TigerAnalytics

That’s a wrap on the Databricks Data + AI Summit 2026! It was an incredible week of collaboration and learning in San Francisco. From sharing the stage with industry leaders to bringing home meaningful recognition, here is a look back at our highlights from the event: We are honored to be named the 2026 Databricks C&SI Partner of the Year for Retail & Consumer Goods and Travel Hospitality. This recognition reflects our team’s focus on delivering substantial, real-world value for our clients. Read the full announcement here: https://lnkd.in/gVtf83G2 We joined forces with global brands to discuss how enterprise AI works in practice: - With PepsiCo: We shared how data intelligence is scaling commercial and consumer product operations. - With Mars: We explored building workforce intelligence using Unity Catalog and Databricks Genie. The energy at our demo stations was fantastic. We spent the week showing teams how to transition smoothly from legacy frameworks to modern data ecosystems, featuring our BI Migration solution, our Migrate 2 Modernize (M2M) solution, and our Intelligent Data Core (IDC) Knowledge Layer We loved stepping away from the floor to connect with our clients and partners over dinner at Copra and during our Pharma Leadership interactive lunch at Fogo de Chão. Thank you to the Databricks team, our clients, and everyone who stopped by to exchange ideas. We’re excited to keep building what’s next together. Mahesh Kumar | Pradeep Gulipalli | Sam Ramachandran | Kishor Gummaraju | Sethuraman Janardhanan, PhD | Asif Ghatala | Shachin Prabhat | Vishal Puri | Rajat Sinha | Gagandeep Singh | Ranjithkumar Palaniappan | Deepak Gupta | Parag Shah | Praveen Jha | Gopi Kannedhara | Karthik Balakrishnan Gopalakrishnan | Aarohan S. | Armaan Sait | Eldhose P. | Jayesh Raj | Rakesh Jayaram | Sriram Subramoniam | Shobhit Sachdeva | Ravi Shankar | Mohandas PK | Amy Mahoney | Kori O'Brien | Jennifer Zavacky | Derek Reese | Seth Waterman | Kristy Kirkpatrick Foote | Jason McIntyre | Katie Ryan | Catherine Murphy | Bonnie Peterson | Vishal Vibhandik #Databricks #DataAISummit #AI #DataIntelligence #TigerAnalytics #DatabricksPartnerOfTheYear2026

What does it take to move AI from a pilot project to enterprise scale? That was the main question at AWS Summit NYC. We connected with partners and customers at the event and also hosted an executive dinner. And here are our key takeaways: - Context is everything: AI agents only work when they are given the right data, context, and governance.   - Foundations come first: The bridge between a successful test and real business value is a solid data foundation.   - Focus on outcomes: Technology should always solve practical, everyday challenges for the people using it.  We really enjoyed these discussions and look forward to collaborating more with our partners. Tina Lee Straw | Randall Nufer | Rituparna(Ritu) Datta | Ben Lewis | Dustin Spangler | Mark Weaver #AWSSummit #AWSNYC #AgenticAI #DataAndAI #GenerativeAI #TigerAnalytics  

We are now live at AI Changemaker 2026 in Bengaluru! True transformation happens when we focus on the foundation of how businesses operate and deliver value. That will be the focal point of our discussions today as we bring together the leaders, practitioners, and peers making this shift possible. We’re ready for a day of practical insights and fresh perspectives. Mahesh Kumar | Pradeep Gulipalli | Santhanakrishnan Ramabadran | Ramesh Natarajan #AIChangeMaker2026 #TigerAnalytics #EnterpriseAI

What happens when commercial analytics shifts from reporting historical performance to enabling proactive decisions? Subrato Chatterjee recently joined Ashutosh Katiyar for a deep dive into the future of intelligence functions. A few key takeaways from their conversation: - Look forward, not backward: Moving past diagnostic dashboards toward scenario planning and predictive decision support. - Catch early signals: Utilizing physician sentiment and digital engagement data before trends surface in traditional sales metrics. - Be patient-centric: Aligning commercial insights directly with patient outcomes to drive more meaningful business decisions. Catch part 1 of the episode with CDO Magazine here: https://lnkd.in/e2XZazNc

The lunch rush at a Quick Service Restaurant (QSR) isn't just any busy hour. It's thousands of decisions happening at once across stores, kitchens, inventory, labor, and fulfillment. How do QSR brands make the data they collect usable in real-time? Prabhanjana Guttal, Hari Krishna Tumpudi, and Mohamed Giyasudeen walk you through how a leading global QSR brand modernize its POS data platform on AWS and Apache Iceberg to process 20–30 million transactions daily and deliver operational insights in under 3 minutes. The blog explores: 🔸Why traditional batch architectures struggle under modern QSR transaction volumes 🔸How a two-track architecture separates operational responsiveness from analytical scale 🔸The engineering decisions that helped improve data integrity, scalability, and storage efficiency 🔸 What this foundation enables next, from dynamic replenishment to predictive labor planning Read the full blog: https://lnkd.in/gFhZwuNi #QSR #DataEngineering #ApacheIceberg #AWS #RealTimeAnalytics #DataModernization #TigerAnalytics #TigerPerspectives