GLOBAL FUTURIST - KEYNOTE SPEAKER - INNOVATION STRATEGIST
CUSTOMER-CENTRIC ECOSYSTEMS
JAMES LISICA
"TRUSTED ADVISOR TO THE GLOBAL 500 ON TECHNOLOGY, SUSTAINABILITY & GLOBALIZATION"
2030 IMPERATIVES
KEYNOTES - TRAINING - WORKSHOPS
STRATEGIC IMPERATIVES
OPERATIONAL IMPERATIVES
CUSTOMER-CENTRIC ECOSYSTEMS
GEOPOLITICAL &
CYBER RESILIENCE
PROFITABLE SUSTAINABILITY
THE SYNTHETIC
WORKFORCE
ALGORITHMIC DECISION
INTELLIGENCE
AUTONOMOUS
SUPPLY CHAIN
CUSTOMER-CENTRIC ECOSYSTEMS
"From Visibility To Autonomous Revenue"
TODAY - BEST PRACTICE
Gain end-to-end visibility of your stock, suppliers and demand signals to optimize planning and last-mile logistics to speed up delivery and improve margins.
2030 - FUTURE PROOF
Capture the machine customer market via programmatic commerce, and deploy sovereign data spaces alongside federated learning to protect IP.
VALUE OUTCOME
Autonomous Revenue. Turns your supply chain into a sales channel that fulfills orders from bots 24/7 without human touch, while also protecting the organizations IP.
Navigating Data Spaces, Agentic AI and Machine Customers.
The era of linear supply chains is ending. We are witnessing a structural evolution into dynamic, customer-centric ecosystems where the entity placing the order is no longer a human, but a machine.
The risk for leaders today is no longer just inefficiency, it is commercial invisibility. If your digital ecosystem cannot connect, collaborate, and transact with the autonomous agents of the future, you will simply not exist to the new customer.
In this visionary session, we explore the journey from today’s focus on visibility to a 2030 future defined by autonomy.
Key Takeaways:
For Today: Immediate strategies to reduce "cost-to-serve" through better visibility and resilience.
For Tomorrow: A blueprint to capture the $15 trillion "Machine Customer" market.
For your Strategy: A roadmap to transition your workforce from "doers" to "supervisors" of autonomous agents.
Session Overview:
We begin by validating and optimizing your current investments in end-to-end visibility and omnichannel resilience, ensuring you maximize ROI on your foundation today before scaling for the machine economy of tomorrow.
From that secure baseline, we explore the four-stage evolution required to avoid "commercial invisibility" in a world where machines buy from machines:
Connectivity (The Foundation): Moving from data lakes to Sovereign Data Spaces that allow you to share risk data with partners without sacrificing control or IP.
Intelligence (The Transition): Leveraging Federated Learning to train AI models on ecosystem-wide insights without ever exposing your proprietary data.
Autonomy (The Engine): Shifting from passive automation to Agentic AI—digital workers that don't just flag disruptions but autonomously execute repairs and re-route logistics in real-time.
Outcome (The Future): Capturing Autonomous Revenue by preparing your sales channels for the Machine Customer, the new economic actor that demands speed, transparency, and API-first transactions.