Essays on AI, modernization, payments, and the economics of technology — and the keynotes where the thesis was first tested on Fortune-500 audiences.
The difference between traditional AI and generative AI, a four-step enterprise adoption playbook, and use cases across healthcare, financial services, contact centers, transportation, and HR.
Five ways AI and ML extend the life and value of legacy systems — predictive maintenance, process automation, analytics on trapped data, customer experience, and real-time security.
The evolution from batch processing to instant, irrevocable transfers — and what implementation actually requires: infrastructure, security, and regulatory collaboration.
Why the move off on-premises servers pays, where migrations go wrong, and how to sequence one — from a leader who took a $6B enterprise from under 10% cloud to 70%+.
The five forces reshaping enterprise technology — AI/ML, cloud, cybersecurity, IoT and edge computing, and blockchain — and why staying ahead of them is a business imperative.
Four disciplines for getting more from every technology dollar — audit, prioritization, cloud economics, and automation — from the leader who saved ~$400M from a $1.45B budget.
Main-stage keynotes at Conduent's flagship client and analyst conference, delivered to Fortune-500 buyers — recordings available on request.
47-minute main-stage keynote. On automation: “Nobody says operations roles will go away… it's the right evolution of a human skill set. That's how we need to upskill ourselves and our workforce.” Augment-don't-replace, before it became consensus.
Introduced by the CIO as the leader who “builds all our platforms and leads our innovation.” Real-time transit optimization for Rochester's RTS, AR-based vehicle-health inspection, cognitive analytics dashboards — “not a concept, but live technology in the field.”
Unveiled the Digital Interactions Foundation — five platforms across conversational AI, analytics, automation, blockchain, and mobility — which became Conduent's public 2019 Azure platform launch. Live on stage: Dara paying a credit-card balance by voice through Alexa, and pharmacy fraud analytics flagging abnormal opioid-prescribing patterns.
Operationalizing AI in regulated industries · from labor-led to platform-led services · owning data and context · the GenAI-era SDLC — same people, more output · platform rationalization as value creation.