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Collectively Driving Digital Transformation Excellence



UPCOMING EVENTS

A FORUM events are led and attended by members that are global C-Suites, senior-level executives, accomplished professionals, and rising stars across the intelligent automation (IA), artificial intelligence (AI), technology, CoE, GBS, shared services, and digital & business transformation fields - and functional area leaders utilizing automation and technology to enhance their functional area operations.

List of Fifty (50)+ Member Speakers for January, February & March

ALL EVENTS ARE IN EASTERN (EST) TIME ZONE. 

        • Friday, January 30, 2026
        • 2:00 PM - 2:45 PM
        • Zoom
        • 31
        Register

        As enterprises race to operationalize AI, the foundation of success lies not in algorithms - but in architecture. Modern organizations are discovering that scalable, trustworthy AI outcomes depend on structured, governed, and high-quality data ecosystems. The Medallion Architecture has emerged as a blueprint for achieving that vision - transforming fragmented data lakes into layered, intelligent pipelines that enable analytics, automation, and AI at scale.

        At its core, the Medallion model organizes data into Bronze, Silver, and Gold tiers - from raw ingestion to refined insights - ensuring that each stage enhances data integrity, lineage, and accessibility. This approach allows enterprises to create a unified, reusable data foundation that supports everything from machine learning to real-time decision intelligence. By embedding governance and quality directly into data architecture, organizations can accelerate AI readiness while maintaining compliance, agility, and trust.

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

        • Architecting multi-layered data ecosystems that scale for AI and analytics
        • Applying Medallion principles to ensure quality, governance, and traceability
        • Evolving from data lakes to AI-ready platforms through modular design
        • Leveraging the Medallion approach to drive business agility and insight velocity

        Rajesh Vayyala, Principal Data Architect, MAJOR DEBT COLLECTION COMPANY

        Marty SamadderHead of Enterprise Architecture, NOVELIS

        • Saturday, January 31, 2026
        • 1:00 PM - 2:00 PM
        • Zoom
        • 24
        Register

        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

        • Friday, February 06, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 32
        Register

        In the BFSI (banking, financial services & insurance) sector, Chat AI is evolving from a front-end customer interaction tool to a core component of enterprise automation. Today’s financial institutions are deploying intelligent conversational systems that not only communicate - but connect securely to back-end platforms to access customer data, execute transactions, and deliver real-time, personalized insights.

        Achieving this end-to-end integration requires more than APIs and models - it demands a tightly governed data and automation architecture. BFSI organizations must ensure every interaction is accurate, explainable, and compliant with evolving regulations around privacy, security, and auditability. Chat AI systems must retrieve and act on sensitive data only within approved controls, maintaining full traceability across data lineage, identity management, and risk frameworks.

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

        • Designing Chat AI architectures that integrate securely with core banking, CRM, and data platforms
        • Ensuring data privacy, lineage tracking, and regulatory compliance across all conversational interactions
        • Automating end-to-end workflows - from inquiry to resolution - without compromising oversight or accuracy
        • Building governance models that balance innovation with transparency, auditability, and customer trust

        Adam Smykowski, Director of Agentic AI & Automations Solutions, VALLEY BANK

        Pradeep Madhavankutty, Director - Artificial Intelligence Delivery & Product Development, STANDARD CHARTERED BANK

        Suzanne LaLena, Senior Vice President, Automation Engineering, BNY

        Anup Gupta, Associate Director, LTIMINDTREE

        Moderator: Gaurav Basra, Chief Executive Officer, BASRA CONSULTING SERVICES

        • Saturday, February 07, 2026
        • 1:00 PM - 1:45 PM
        • Zoom
        • 39
        Register

        In a world of AI-driven automation and cloud-native platforms, APIs are no longer just connectors, they are critical control points for trust, security, and performance. Whether you’re scaling intelligent automation or building decision systems, your API layer determines how far you can go.

        Furthermore, behind every trusted financial interaction lies an invisible architecture of resilience - APIs that authenticate, encrypt, and orchestrate data at millisecond speed while navigating layers of regulation and risk. Designing these systems demands a delicate balance - ensuring uncompromising security without sacrificing speed, scalability, or user experience. Modern FinTech and enterprise architects are building “trust by design” into their API ecosystems - uniting engineering rigor, governance, and performance optimization to deliver secure, compliant, and future-ready financial experiences.

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

        • Architecture patterns and security-first practices that enable both innovation and integrity
        • Embed zero-trust security into API design
        • Balance speed with compliance in FinTech microservices
        • Avoid common performance bottlenecks in high-volume transactions
        • Implement governance and observability for API reliability at scale

        Sibasis Padhi, Staff Software Engineer, WALMART GLOBAL TECH

        • Thursday, February 12, 2026
        • 1:00 PM - 1:45 PM
        • Zoom
        • 30
        Register

        A recent MIT report reveals that 95% of Generative AI pilots fail to deliver measurable ROI, often because they are treated as isolated experiments rather than integrated into business workflows. The study identifies a "GenAI Divide" where success is found in specific back-office tasks, while flashy, customer-facing projects fail.

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

        • The "Boring" ROI Paradox ~50% of budgets go to low-ROI, flashy pilots, while the 5% success stories are in "boring" back-office automation
        • The "Learning Gap" - Internal builds fail twice as often as vendor-led solutions, despite vendors having less business knowledge
        • The "Data Swamp"Enterprise data is often too messy or siloed for effective use, leading to inaccurate AI outputs
        • The "Compliance Cliff"Pilots fail in production because organizations apply legacy governance instead of specialized AI Trust, Risk, and Security Management strategies
        • Change ManagementWithout proper change management, employees abandon tools due to a "Trust Gap" or fear of replacement

        Marty Samadder, Head of Enterprise Architecture, NOVELIS

        Adam Smykowski, Director of Agentic AI & Automations Solutions, VALLEY BANK

        Karthik Josyula, Head of Data & AI Platforms - Data & Analytics, KOHLER

        Poornakala Sethuraman, Ph.D., Vice President, Data Science & Product Strategy, BANK OF AMERICA

        • Friday, February 13, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 36
        Register

        Artificial intelligence dominates boardroom conversations, yet only a small number of organizations have translated that excitement into consistent, day-to-day ways of working.

        In this solo session, the speaker shares patterns observed across enterprises that are successfully adopting AI at scale: where they begin, how they structure ownership and governance, and the common friction points that stall progress. Using clear, real-world stories instead of technical deep dives, the talk highlights three practical shifts leaders can make to move AI from a strategic slide deck into visible impact across customer experience, operations, and innovation. 

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

        • The common adoption patterns of enterprises that move from AI experimentation to real, repeatable business value
        • How leaders set up ownership, operating models, and ways of working that make AI usable across teams
        • The biggest organizational and cultural friction points that slow AI down, and how successful teams navigate them
        • Three practical leadership shifts that help AI show up in customer experience, operations, and innovation (not just strategy decks)

        Nithin Mohan, Artificial Intelligence & Supercomputing Leader, HEWLETT PACKARD ENTERPRISE

        • Thursday, February 19, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 53
        Register

        Enterprises are entering a new era of intelligent systems - one where AI agents no longer just execute pre-defined tasks but dynamically make decisions, adapt to changing contexts, and collaborate across data and operational ecosystems. As these autonomous capabilities mature, the challenge shifts from experimentation to orchestration: how to design, scale, and govern Agentic AI within enterprise boundaries while maintaining control, compliance, and trust.

        Building an orchestrated Agentic AI ecosystem requires more than technology - it demands architecture discipline, governance frameworks, and visibility across decision chains. Success hinges on integrating data pipelines, model management, and feedback loops that allow agents to act responsibly and learn continuously without introducing systemic risk. Balancing autonomy with accountability becomes the defining leadership challenge of AI at scale.

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

        • Enterprise-Scale Orchestration - How to design and manage agentic AI ecosystems that seamlessly integrate multi-agent systems with enterprise workflows, ensuring scalability and performance
        • Governance & Compliance Frameworks - Building resilient guardrails, trust mechanisms, and audit-ready governance models to align with regulatory and ethical requirements
        • From Experimentation to Impact - Shifting from pilot projects to production-grade adoption, driving measurable business outcomes and cultural readiness

        Rajesh Sura, Head of Data Engineering & Analytics - North America Stores, AMAZON

        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
        • Friday, February 20, 2026
        • 2:00 PM - 2:45 PM
        • Zoom
        • 36
        Register

        Behind every successful AI and automation initiative lies a powerful - yet often invisible - data engineering foundation. For global enterprises, building this foundation means ensuring that data is accurate, accessible, secure, and architected for scalability across complex ecosystems.

        Today’s data engineering leaders are enabling the enterprise of the future: one where data pipelines fuel real-time insights, AI models operate on trusted data, and governance is embedded into every layer of the data lifecycle. They’re tackling the hard questions - how to unify legacy and cloud environments, manage data quality at scale, optimize cost and performance, and ensure that the data powering AI is reliable and compliant.

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

        • Building scalable data pipelines that enable AI, analytics, and automation across the enterprise
        • Ensuring data quality, integrity, and governance in hybrid and multi-cloud environments
        • Balancing agility, performance, and cost efficiency in modern data platforms
        • Architecting trusted data foundations for enterprise-grade AI and decision intelligence

        James Gowen, Ph.D., Global Head of Data Engineering Controls - Data Quality Platforms, CITI

        Karthik Josyula, Head of Data & AI Platforms - Data & Analytics, KOHLER

        Rahul Chawla, Lead Business Intelligence Data Warehouse Engineer, GOOGLE

        Prasad Maderamitla, Principal Engineer, SALESFORCE

        • Thursday, February 26, 2026
        • 2:00 PM - 2:45 PM
        • Zoom
        • 34
        Register

        Enterprise IT today is the cornerstone of organizational growth, agility, and competitive advantage. As digital ecosystems expand, technology leaders are ensuring that IT strategies directly enable business transformation - driving smarter operations, enhanced customer experiences, and continuous innovation.

        Forward-thinking IT executives are leading modernization initiatives that align infrastructure, data, and intelligent automation with enterprise objectives. They’re building adaptive operating models, strengthening resilience, and ensuring technology investments deliver measurable business impact. IT is no longer simply supporting the business - it is powering it.

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

        • Redefining IT’s identity from service provider to business growth enabler
        • Building the business case for modernization, agility, and intelligent investment
        • Aligning technology strategy with C-suite priorities and measurable ROI
        • Developing IT leadership and culture that foster innovation and resilience

        Avinash Vaidya, Vice President of Information Technology, FRANKLIN TEMPLETON

        Jerry Luftman, Ph.D., Founder, Professor & Managing Director, GLOBAL INSTITUTE OF IT MANAGEMENT & Former Chief Information Officer, IBM

        Shailesh Kadam, Artificial Intelligence & Cloud Architect, SAKS GLOBAL

        Ram Kumar Nimmakayala, AI & Data Strategist - Product Leader, AI, Machine Learning & Data, WESTERN GOVERNORS UNIVERSITY

        Moderator/Speaker: Rahul Bhatia, Co-Founder & Vice President of Cloud Solutions, NUAAV

        • Friday, February 27, 2026
        • 3:00 PM - 4:00 PM
        • Zoom
        • 37
        Register

        Join your peers for a virtual networking and social mixer power hour.

        Moderator: Jules Miller, IA Insights & Community Liaison Officer, IA FORUM


        • Thursday, March 05, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 35
        Register

        Every enterprise sits on mountains of data - scattered across business units, formats, and technologies. What begins as a promise of insight often becomes a struggle with fragmentation, inconsistency, and limited visibility. The real question for data leaders is no longer how much data we have - but how intelligently we can use it.

        Forward-thinking organizations are reimagining their data ecosystems to bridge these silos and deliver context-rich, decision-ready intelligence. By modernizing data pipelines, embedding governance, and combining AI with human expertise, leaders across the business can act faster, smarter, and with greater confidence.

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

        • Building end-to-end data pipelines that unify fragmented sources into a single source of truth
        • Embedding governance and quality frameworks that create confidence in data-driven decisions
        • Leveraging AI and machine learning to generate predictive and contextual insights
        • Aligning data strategy with business priorities to ensure measurable enterprise impact

        Poornakala Sethuraman, Ph.D., Vice President, Data Science & Product Strategy, BANK OF AMERICA

        Navita Singh, Principal Data Scientist - Research Engineering, AUTODESK

        David Mack, Ph.D., Principal Data Scientist, HUMANA

        Rahul Chawla, Lead Business Intelligence Data Warehouse Engineer, GOOGLE

        Moderator: Angela McKeirnan, Director, Global Product Lifecycle Management & Master Data, SOLENIS

        • Friday, March 06, 2026
        • 1:00 PM - 1:45 PM
        • Zoom
        • 34
        Register

        This candid roundtable discussion brings together female senior-level technology executives to engage in a peer-to-peer conversation about the realities of leadership in a male-dominated industry.  It offers a space to exchange lessons learned, share strategies, and speak openly about the pressures, biases, and barriers that persist - while exploring how women are rewriting the rules, mentoring others, and leading with power and authenticity.


        Suzanne LaLena, Senior Vice President, Automation Engineering, BNY 

        Poornakala Sethuraman, Ph.D., Vice President, Data Science & Product Strategy, BANK OF AMERICA 

        Sindhu Vasudevan, Director of Software Engineering, TRUIST 

        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


        • Saturday, March 07, 2026
        • 12:00 PM - 1:00 PM
        • Zoom
        • 38
        Register

        AI is fundamentally reshaping retail, moving beyond automation to create personalized and highly efficient customer journeys. From predictive merchandising and omni-channel engagement to real-time behavioral insights, AI is redefining how retailers understand, anticipate, and serve customers. Leading brands are integrating intelligent systems into every touchpoint - optimizing operations, deepening customer relationships, and unlocking new revenue streams. As retailers accelerate their digital transformation, AI is becoming the core enabler of loyalty, differentiation, and growth in an increasingly competitive market.

        Attend this event to learn how retailers are leveraging AI to boost customer loyalty, satisfaction, and growth - and how AI can drive superior retail customer experiences.

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

        • Hyper-Personalization - delivering tailored product recommendations and pricing in real-time
        • Intelligent Operations - using predictive analytics and smart inventory to ensure product availability
        • Future of Interaction - the role of AI-driven chatbots and in-store tools for instantaneous, 24/7 support

        Pabitra Saikia, Vice President & Senior Change Delivery Lead, TRUIST

        Uttam Kumar, Engineering Manager, AMERICAN EAGLE OUTFITTERS

        • Wednesday, March 11, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 36
        Register

        Voice AI has evolved from a novelty interface to a strategic channel reshaping how enterprises connect with customers, employees, and partners. But as adoption accelerates, the true differentiator lies not in the technology itself - but in how organizations design, govern, and measure it.

        The challenge is ensuring that Voice AI delivers consistent, human-centered experiences while achieving measurable business outcomes. That means architecting intelligent conversational systems that enhance CX, integrate seamlessly with enterprise data, and continually learn from every interaction. It also means defining clear success metrics - from customer sentiment and efficiency gains to ROI and long-term brand impact - and building governance frameworks to monitor and optimize performance at scale.

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

        • Designing Voice AI experiences that strengthen customer engagement and satisfaction
        • Defining KPIs and frameworks to measure ROI, adoption, and CX impact
        • Integrating Voice AI with broader data, analytics, and automation strategies
        • Governing and optimizing Voice AI initiatives for scalability, trust, and continuous improvement

        SriHarsha Anand Pushkala, Director, Fraud Strategy & Analytics, ATLANTICUS

        Paras Doshi, Director, Head of Data - Data Science & Data Engineering, OPENDOOR

        Raghu Para, Artificial Intelligence Architect & Technology Leader, Data Engineer & Scientist, Multi-Platform Engineering, FORD MOTOR COMPANY

        Moderator: Rahul Bhatia, Co-Founder & Vice President of Cloud Solutions, NUAAV

        • Friday, March 13, 2026
        • 3:00 PM - 4:00 PM
        • Zoom
        • 33
        Register

        Join your fellow IA FORUM Advisory Board peers for a light-hearted and engaging networking and social mixer.

        Moderator: Jules Miller, IA Insights & Community Liaison Officer, IA FORUM


        • Friday, March 20, 2026
        • 3:00 PM - 3:45 PM
        • Zoom
        • 35
        Register

        Enterprise data volumes continue to grow exponentially - yet many organizations still struggle to translate data and analytics investments into sustained, measurable business value. The challenge is no longer access to data, tools, or platforms - it’s how leaders architect, operationalize, and govern analytics to drive real outcomes at scale.

        As data becomes increasingly embedded across products, operations, and decision-making, data analytics leaders are being asked to move beyond reporting and insights delivery to enable faster decisions, measurable ROI, and enterprise-wide value creation. That requires aligning analytics strategy with business priorities, embedding insights into workflows, and establishing governance models that balance innovation, trust, and accountability. The question facing today’s data leaders is not whether analytics can deliver value - but how to ensure it consistently informs decisions, accelerates performance, and scales impact across the organization.

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

        • Translating enterprise data and analytics into measurable business outcomes and ROI
        • Aligning analytics strategy with executive priorities, operating models, and decision workflows
        • Embedding insights into products, operations, and frontline decision-making at scale
        • Governing enterprise analytics for trust, adoption, scalability, and sustained value creation

        Subba Rao Katragadda, Senior Principal Data Engineer, JOHNSON & JOHNSON MEDTECH

        Kartik Kinhal, Director, Engineering, Automation, Analytics & Excellence, Worldwide Manufacturing Operations (WMO) Logistics, APPLIED MATERIALS

        Gladson Baby, Vice President & Director of AI Enablement, Intelligent Automation & System Integration, FIFTH THIRD BANK

        SriHarsha Anand Pushkala, Director, Fraud Strategy & Analytics, ATLANTICUS

        Moderator: Junaith Haja, Senior Data Engineer, AMAZON

        • Friday, March 27, 2026
        • 1:00 PM - 1:45 PM
        • Zoom
        • 34
        Register

        As finance teams face increasing pressure to modernize, automate, and accelerate outcomes, intelligent automation (IA) leaders are often called upon to guide tool selection, architecture decisions, and implementation strategies - while balancing risk, control, and measurable value. At the same time, they are increasingly expected to serve as strategic advisors, helping finance leaders make informed technology decisions that align with real business needs rather than hype-driven solutions.

        As a result, IA leaders must help finance stakeholders navigate an increasingly crowded automation landscape - moving beyond the assumption that AI is the correct tool for every use case - and instead select fit-for-purpose tools aligned to specific finance workflows, maturity levels, and business objectives. Doing so requires strong internal client partnerships, clear decision frameworks, and the ability to translate technical possibilities into practical, finance-relevant outcomes.

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

        • Partnering with finance leaders to identify, prioritize, and validate high-value automation use cases
        • Selecting fit-for-purpose IA tools for finance workflows
        • Educating internal finance stakeholders on automation options beyond AI and managing the AI “shiny object” mentality
        • Establishing governance, decision frameworks, and operating models to scale finance automation responsibly

        Jay Dhar, Vice President - Agentic AI & Process Transformation, U.S. BANK

        Gnana Silaparasetti, Principal Technical Architect, SALESFORCE

        Poornakala Sethuraman, Ph.D., Vice President, Data Science & Product Strategy, BANK OF AMERICA

        Nikhil Kassetty, Software Architect - Artificial Intelligence, INTUIT

        Moderator: SriHarsha Anand Pushkala, Director, Fraud Strategy & Analytics, ATLANTICUS

        • Saturday, March 28, 2026
        • 1:00 PM - 2:00 PM
        • Zoom
        • 39
        Register

        In the race to accelerate AI development, organizations face an increasingly complex web of governance, risk, and technology decisions - each influencing the others in unseen ways. Too often these disciplines are managed as independent silos, yet their true impact emerges only when they converge. The challenge is understanding how interdependencies among AI governance models, regulatory risk, and rapid technological innovation can create ripple effects that shape enterprise resilience, public trust, and even the future trajectory of industries.

        Much like the concept of quantum entanglement - where the state of one entity instantly affects another - governance, risk, and technology have become inextricably linked in the AI era. Decisions made in one domain can amplify vulnerabilities or accelerate breakthroughs across all others. Understanding these entanglements is now essential for leaders tasked with ensuring responsible AI growth, balancing innovation with accountability, and guiding enterprises toward sustainable, transparent outcomes.

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

        • Understanding quantum entanglement as a lens for interdependent AI governance, risk, and technology systems
        • Evaluating whether entanglement across these domains is beneficial, inevitable, or destabilizing
        • Identifying enterprise controls and frameworks to guide or prevent systemic risk
        • Examining how strategic decisions today influence long-term ROI, market trust, and organizational survival

        Duffie Brunson, Research Sabbatical & Director, Enterprise Data Oversight, FANNIE MAE

      Thursday, January 29, 2026 SPOTLIGHT PRESENTATION: CONNECTING THE DOTS - ENSURING CUSTOMER DATA INTEGRITY WITH GRAPH DATABASES
      Saturday, January 24, 2026 LECTURE: BUILDING DATA AS A PRODUCT IN THE AGE OF ARTIFICIAL INTELLIGENCE
      Thursday, January 22, 2026 SPOTLIGHT PRESENTATION: ON-DEVICE AI FOR TRUST, PRIVACY AND REAL-TIME DECISIONS IN NEXT GEN FINTECH
      Wednesday, January 21, 2026 PANEL DISCUSSION: DRIVING OPERATIONAL EXCELLENCE INTO THE ENTERPRISE WITH HYPERAUTOMATION & CONVERGED AUTOMATION PLATFORMS
      Thursday, November 20, 2025 PANEL DISCUSSION: SELECTING THE RIGHT INTELLIGENT AUTOMATION TOOLS FOR OPTIMIZED BUSINESS CASE IMPACT
      Thursday, November 13, 2025 PANEL DISCUSSION: BUILDING TRUSTED & SCALABLE ENTERPRISE KNOWLEDGE SYSTEMS WITH GENERATIVE AI
      Thursday, November 06, 2025 PANEL DISCUSSION: HOW TO KEEP TEAMS ENGAGED, MOTIVATED & PRODUCTIVE DURING UNCERTAIN TIMES
      Saturday, October 25, 2025 HANDS-ON WORKSHOP: BUILDING & SHOWCASING YOUR WORK PROJECT PORTFOLIO - A MUST-HAVE CAREER TOOL FOR EVERY TECH PROFESSIONAL
      Friday, October 24, 2025 PANEL DISCUSSION: SUCCESSFULLY MANAGING CO-PILOT AT SCALE - ENTERPRISE GOVERNANCE, INTEGRATION, AND VALUE REALIZATION
      Thursday, October 23, 2025 COLLABORATION ROUNDTABLE DISCUSSION: OPERATIONALIZING AGENTIC AI - FROM PILOT TO ENTERPRISE REALITY
      Thursday, October 16, 2025 FIRESIDE CHAT: SCALING INTELLIGENT AUTOMATION - FROM PROCESS EFFICIENCY TO ENTERPRISE TRANSFORMATION
      Wednesday, October 15, 2025 NETWORKING POWER HOUR
      Saturday, September 27, 2025 ROUNDTABLE DISCUSSION: STRATEGIES TO ENSURE JOB SECURITY & STRATEGIC RELEVANCE FOR TECHNOLOGY LEADERS AMID CORPORATE RE-ORG & DOWNSIZING
      Thursday, September 25, 2025 PANEL DISCUSSION: THE EMERGING TECHNOLOGY LANDSCAPE - WHAT TO ADOPT & AVOID AND HOW TO PREPARE FOR THE NEXT WAVE OF COMPETITIVE ADVANTAGE
      Wednesday, September 24, 2025 ADVISORY BOARD MEETING & NETWORKING POWER HOUR
      Friday, September 19, 2025 FIRESIDE CHAT: RAG VERSUS CAG FRAMEWORK - CHOOSING THE RIGHT ARCHITECTURE FOR ENTERPRISE AI
      Wednesday, September 17, 2025 NETWORKING POWER HOUR
      Friday, September 12, 2025 PANEL DISCUSSION: GENERATIVE AI & LLM SECURITY AND COMPLIANCE - NAVIGATING THE RISK LANDSCAPE OF ENTERPRISE AI ADOPTION
      Thursday, August 21, 2025 PANEL DISCUSSION: AGENTIC AI - DESIGNING, DEPLOYING, AND MANAGING MULTI-AGENT SYSTEMS FOR ENTERPRISE SCALE
      Friday, August 15, 2025 FIRESIDE CHAT: THE AUTONOMOUS ENTERPRISE - BUILDING A SELF-DRIVING BUSINESS WITH AI & INTELLIGENT AUTOMATION
      Wednesday, August 13, 2025 SPOTLIGHT PRESENTATION & ROUNDTABLE DISCUSSION: MAXIMIZING CLOUD VALUE - FROM STRATEGY TO SCALE THROUGH RESILIENCE & INNOVATION
      Friday, August 08, 2025 ALL MEMBERS NETWORKING POWER HOUR
      Thursday, July 31, 2025 TECHNICAL WORKSHOP: HOW TO DESIGN & DEPLOY AN AGENTIC AI AGENT
      Tuesday, July 29, 2025 PANEL DISCUSSION: BUILD OR BUY? DETERMINING THE BEST DIRECTION TO ADDRESS BUSINESS CHALLENGES & LEVERAGE OPPORTUNITIES
      Friday, July 25, 2025 “WOMEN IN TECHNOLOGY” ADVISORY BOARD MEETING & NETWORKING HUDDLE
      Thursday, July 24, 2025 LECTURE: FROM IDEA TO IMPACT - EVALUATING AUTOMATION PROJECT FEASIBILITY
      Wednesday, July 23, 2025 PANEL DISCUSSION: GOVERNING GENERATIVE AI & LLMs - CONTROL, COMPLIANCE & ARCHITECTURE AT SCALE
      Thursday, July 17, 2025 LECTURE: STRATEGIC DISCOVERY - A FRAMEWORK FOR IDENTIFYING HIGH-VALUE AI USE CASES
      Tuesday, July 15, 2025 ADVISORY BOARD MEETING & NETWORKING HUDDLE
      Thursday, July 10, 2025 ALL MEMBERS NETWORKING POWER HOUR
      Thursday, June 26, 2025 HANDS-ON SHOWCASE: FUTURE OF AGENTIC & AI AGENTS IN ENTERPRISE - A STRATEGIC ROADMAP FOR INTEGRATION
      Tuesday, June 24, 2025 C-SUITE PANEL DISCUSSION: NAVIGATING ARTIFICIAL INTELLIGENCE/DATA ETHICS - BALANCING INNOVATION, COMPLIANCE & TRUST
      Thursday, June 19, 2025 PANEL DISCUSSION: HARNESSING IA & AI TO EMPOWER HUMAN POTENTIAL
      Thursday, June 12, 2025 WORKSHOP: LEVERAGING CUSTOMER EXPERIENCE JOURNEY MAPPING TO FORMULATE A LEAN PRODUCT ROADMAP FOR ARTIFICIAL INTELLIGENCE AND INTELLIGENT AUTOMATION
      Wednesday, June 11, 2025 PANEL DISCUSSION: HOW GENERATIVE AI IS TRANSFORMING ENTERPRISE DATA ANALYTICS FOR SPEED, SCALE & STRATEGY
      Thursday, June 05, 2025 ALL MEMBERS NETWORKING POWER HOUR
      Wednesday, May 28, 2025 NETWORKING POWER HOUR
      Wednesday, May 21, 2025 “WOMEN IN TECHNOLOGY” ROUNDTABLE DISCUSSION & NETWORKING HUDDLE
      Tuesday, May 20, 2025 LECTURE: HUMAN “ON” THE LOOP VS. “IN” THE LOOP - REDEFINING CONTROL IN THE AGE OF AUTONOMOUS SYSTEMS
      Thursday, May 15, 2025 PANEL DISCUSSION: HALLUCINATING AT SCALE - WHAT ENTERPRISE LEADERS MUST KNOW ABOUT GENERATIVE AI’S BLIND SPOTS
      Wednesday, May 14, 2025 USE CASE: AI-ENABLED WAREHOUSING & LOGISTICS - STRATEGIES FOR NEXT-GEN SUPPLY CHAINS
      Thursday, May 08, 2025 NETWORKING POWER HOUR
      Tuesday, April 22, 2025 LECTURE: DATA FIRST, AI NEXT - A ROADMAP FOR SUSTAINABLE INNOVATION
      Thursday, April 17, 2025 NETWORKING POWER HOUR
      Thursday, April 10, 2025 IA FORUM "ADVISORY BOARD" MEETING & NETWORKING HUDDLE
      Wednesday, April 09, 2025 ROUNDTABLE DISCUSSION: UNLOCKING AI’S FULL POTENTIAL IN BFSI - INNOVATION, RISKS & REAL-WORLD IMPACT
      Monday, April 07, 2025 “C-SUITE COUNCIL” ROUNDTABLE DISCUSSION
      Friday, April 04, 2025 PANEL DISCUSSION: MASTERING DATA ANALYTICS FOR ENTERPRISE-WIDE IMPACT
      Wednesday, March 26, 2025 HANDS-ON SHOWCASE: AI - UNLOCKING THE POWER OF AUTONOMOUS AGENTS
      Monday, March 24, 2025 LECTURE: GOVERNING DATA AT SCALE - ENSURING TRUST, VALUE & RESILIENCE
      Friday, March 21, 2025 USE CASE: PLAYBOOK TO WIN IN AN AI AGE - AN ENTERPRISE USE CASE VIEW
      Wednesday, March 19, 2025 WORKSHOP: LEVERAGING CUSTOMER EXPERIENCE JOURNEY MAPPING TO FORMULATE A LEAN PRODUCT ROADMAP FOR ARTIFICIAL INTELLIGENCE AND INTELLIGENT AUTOMATION
      Tuesday, March 18, 2025 PANEL DISCUSSION & NETWORKING HUDDLE: LEVERAGING IA & AI TO DRIVE ENHANCED BUSINESS VALUE
      Friday, March 14, 2025 NETWORKING DINNER PARTY
      Wednesday, March 12, 2025 ROUNDTABLE DISCUSSION & NETWORKING HUDDLE: BEST PRACTICES FOR BUILDING AND SCALING AN IA & AI CENTER OF EXCELLENCE
      Tuesday, March 11, 2025 “C-SUITE COUNCIL” ROUNDTABLE DISCUSSION
      Thursday, March 06, 2025 NETWORKING POWER HOUR
      Monday, March 03, 2025 “IA GUILD” ROUNDTABLE DISCUSSION
      Thursday, December 19, 2024 Holiday Social Mixer
      Monday, December 16, 2024 CoE Roundtable Discussion
      Wednesday, December 11, 2024 Women In Technology Roundtable Discussion
      Monday, December 09, 2024 Core Roundtable Discussion
      Tuesday, November 19, 2024 CoE Roundtable Discussion
      Tuesday, November 05, 2024 Core Roundtable Discussion
      Wednesday, October 30, 2024 GenAI Roundtable Discussion
      Wednesday, September 11, 2024 Core Roundtable Discussion
      Tuesday, August 13, 2024 CoE Roundtable Discussion