As enterprise intelligent automation strategies mature, the focus has shifted from isolated tools to connected ecosystems. Organizations are now seeking integrated platforms that unite RPA, artificial intelligence, machine learning, process mining, orchestration, low-code development, and data intelligence into a single operational framework capable of scaling across functions.

This evolution raises critical questions for intelligent automation leaders: How can we ensure our tools scale end-to-end? How do we align architecture with enterprise data strategy and minimize tool sprawl? And how do we select and integrate the technologies that best support long-term intelligent automation growth, governance, and ROI?

Topics of discussion will include, yet will not be limited to:

• Defining a target enterprise architecture that enables end-to-end automation
• Evaluating platform consolidation vs. function-specific solutions
• Ensuring governance, data integration, and scalability in a converged model
• Aligning tool selection with business value, ROI, and long-term sustainability

Puneet Thakkar, Finance Process & Systems Transformation Lead, GOOGLE

Sasan Sadr, Former Director, Enterprise Continuous Improvement, ULTA BEAUTY

Bhawini Navapura, Senior Vice President - DevOps Environment Service Management, CITI

Deji Adedayo, Intelligent Automation & Product Owner - North America, GORDON FOOD SERVICE

Moderator/Speaker: Doug Shannon, Global Intelligent Automation & GenAI Thought Leader & Global Intelligent Automation Manager, GLOBAL PHARMACEUTICAL COMPANY

This event is an "Open Network" Event & Can Be Attended by:

• IA FORUM Members
• IA FORUM Members’ “qualifying” NON-Member internal/external colleagues and friends - to be their “NON-Member VIP Guests”
• “Qualifying” senior-level executives that are NOT Members - and the IA FORUM has personally invited to attend an event
• Other “qualifying” senior-level executives that are NOT Members - and have learned about the events via word of mouth or LinkedIn
• Vendors can NOT attend IA FORUM events

Abstract soon to come!

Kunal Tanwar, Ph.D., Director of Artificial Intelligence, Business Intelligence & Data Management, GOOGLE

This event is an "Open Network" Event & Can Be Attended by:

• IA FORUM Members
• IA FORUM Members’ “qualifying” NON-Member internal/external colleagues and friends - to be their “NON-Member VIP Guests”
• “Qualifying” senior-level executives that are NOT Members - and the IA FORUM has personally invited to attend an event
• Other “qualifying” senior-level executives that are NOT Members - and have learned about the events via word of mouth or LinkedIn
• Vendors can NOT attend IA FORUM events

Quantum computing represents more than a new generation of hardware - it marks a fundamental redefinition of how intelligence is computed. As the world moves beyond binary logic into the probabilistic realm of quantum mechanics, enterprises are beginning to explore how quantum algorithms can complement classical systems to solve previously intractable problems. The shift is not theoretical - rapid advancements in qubits, error correction, and algorithmic design are bringing quantum advantage closer to commercial reality.

At its core, quantum computing expands the boundaries of problem-solving, enabling hybrid architectures that merge classical precision with quantum scale. This convergence is poised to reshape high-performance computing, optimization, and cryptography - driving breakthroughs in everything from financial modeling to AI acceleration. The enterprises preparing for this hybrid era are not just adopting a new technology; they’re redefining what computation itself means.

Topics of discussion will include, yet will not be limited to:

• Understanding the fundamentals of quantum mechanics as applied to computation
• Exploring hybrid models that integrate classical and quantum architectures
• Assessing the potential business use cases and limitations of quantum computing
• Preparing data systems and infrastructure for the coming era of quantum advantage

John Jiang, Ph.D., Former Chief Research & Solution Architect - Cloud Big Data Architect & Data Scientist, HITACHI