Architecting the Agentic Enterprise: Driving Real Value
Date & Time:
Manila – March 16th, 17th, 18th, 19th at 10am – 12pm & 2pm – 4pm
Date & Time:
Manila – March 16th, 17th, 18th, 19th at 10am – 12pm & 2pm – 4pm
GenAI and Agentic AI are at a defining inflection point, reshaping the very nature of knowledge work and enterprise operating models by activating the entire data value chain. Globally, organizations are progressing along a maturity curve that begins with robust data engineering to ensure high-fidelity inputs, evolving from task-specific experimentation to copilots that augment human decision-making. Ultimately, this leads toward large-scale integration, where AI functions as a trusted digital teammate, orchestrating complex workflows across the enterprise.
Workshop Format:
Intro to GenAI and the path towards Agentic AI
Examples from real production use cases of Fortune 500 companies
Identify high-ROI use cases tailored to your business
A look into Tiger Assets (our GenAI & Agentic AI Open-Source IP across the Data Value Chain)
Live Demos
Hari Kumar
Data and AI practitioner
With over 20 years of global experience, Hari has a proven track record in Consulting Practice Leadership, Analytics Solution Consulting, and Enterprise Information Management. His expertise spans Data Management programs, including Master Data, Metadata, Data Quality, and remediation initiatives while also advising clients on EDW roadmaps and data modelling strategies. He has successfully led numerous Brand Analytics deployments and driven large-scale project delivery. Hari has delivered multiple high-impact projects within the Financial Services sector and has partnered with retail banks on business analytics initiatives such as customer insight, card analytics for hidden revolver identification, and activation models to strengthen customer engagement and loyalty.
Ashish Heda
Partner, Data Science and AI
Ashish is a distinguished AI and Data Science expert with over 18 years of experience driving transformative data consulting engagements. He partners with leading organizations across CPG, Retail, Healthcare Technology, Marketing, and Manufacturing sectors to deliver strategic advisory and advanced analytics solutions. He brings in deep expertise in Revenue Growth Management (RGM), Marketing Mix Modelling, Forecasting, and Customer Analytics, helping clients unlock actionable insights that fuel business impact. His forward-looking research focuses on cutting-edge domains including Explainable AI (XAI), Responsible AI (RAI), Agentic AI, and Quantum Computing—reflecting his commitment to shaping the future of intelligent systems with both innovation and ethical governance.
Balaji Rajagopalan
Partner, Engineering
Balaji is an Innovative and results-driven leader specializing in Data Strategy, Digital Transformation, Data Products, Analytics, and Artificial Intelligence.
With 25+ years of data and analytics experience across various industries he is a forward thinker with a strong reputation for creating data culture and analytical products, architecting digital and data platforms, piloting innovation roadmaps, and spearheading change management efforts that enable data-driven business outcomes.
Being a DAMA Certified Practitioner - a globally recognized benchmark for Data Experts, he has an Industry validation on his data management excellence and has a proven track record of transforming data organizations into value engines by developing and executing a comprehensive data, analytics and insights strategy that drives business growth and improves the customer experience.
Ashis Patwary
Senior Director - Business Development
Ashis is an accomplished AI growth leader with 25 years of experience working in various domains and technologies. He brings in a deep understanding of the Latest AI trends and have worked with clients advising them in their transformation journey leveraging Data & AI. He has worked in various sales and solutioning roles for clients spread across various industries in the Southeast Asia region.
I’ve had the privilege of working closely with Tiger Analytics. Their expertise in advanced analytics and AI has been transformative for our business. Whether it’s optimizing supply chain operations, enhancing customer segmentation, or predicting trends, Tiger Analytics has consistently delivered measurable value. Their collaborative approach, technical prowess, and strategic thinking have made them an invaluable partner.
Director of Data Services
One of the Leading Global Clothing & Beauty Retailers
I really love working with Tiger. The number one because I discovered the importance of working in real partnership. It means that in the end I feel we are learning together, we are finding solutions together, and we are absolutely constantly learning together. So it's a real partnership. This is number one. Number two is because they make it simple. They make it accessible. They make it actually available. They allow me to dream, to think of all of the possibilities, but in the end they make it simple in the execution. And the third reason is really quality because I usually say that it's not about a fancy PowerPoint in the end, or it's really about the quality of the job that is behind it. I think the quality of the people I interact with, the quality of the values that I see they do have when they do their job, and also the quality of the outcome was always outstanding. And in fact, I met Tiger when I work at Mars, and now that I'm the chief digital officer here, I was very happy to bring Tiger again on board and continue this journey where I know for sure together we're going to get stronger in facing all of the new possibilities of technology and to better serve our customers in the end.
Chief Digital Officer
A Multinational Conglomerate that is the largest Luxury Goods group in the world.
Thanks for the partnership on delivering a successful project using GCP. We can truly acknowledge that we can now more accurately forecast demand across its 2000+ cafés several weeks in advance using the Tiger Analytics solution on Google Cloud Platform. The effort included ETL/ELT,joining and transformation of data sources, standardizing and denormalization of datasets and setting up ML Ops to monitor models in production. The solution leveraged cloud architecture using Vertex AI, Dataproc, BigQuery,Pub/Sub, Cloud Functions to improve the accuracy of sales forecasts by over 300 bps and orders forecasts by over 400 bps when compared to the current forecast system. These improvements enable a better customer experience and direct savings by minimizing stockouts and optimizing labor and food wastage.
Director, Data Engineering
A Leading Retail Chain of Bakery Cafes fast casual restaurants
Google Cloud Premier Partner
Databricks Partner Program Solutions Architect Champion
Everest Group 2025 PEAK Matrix: Leader & Star Performer in Data & AI Services, North America
Leading Gen AI Service Provider at Gen AI Conclave 2025
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