From Operating Rooms to Factory Floors: How AI Unlocks Hidden Data | Ben Ko, Kaleidoscope Innovation
Infosys Knowledge Institute
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From Operating Rooms to Factory Floors: How AI Unlocks Hidden Data | Ben Ko, Kaleidoscope Innovation
69 просмотров · 2 недели назад
Infosys Knowledge Institute
831 подписчик
69 просмотров · 2 недели назад
Watch the full conversation: https://www.infosys.com/iki/videos/un...
Why do so many AI projects stall even when the technology works? In this Infosys Knowledge Institute conversation, recorded at the Infosys Connect Conference in Los Angeles, Jeff Kavanaugh sits down with Ben Ko, Head of Kaleidoscope Innovation, an Infosys company, to explore why AI adoption is as much a trust and change-management challenge as a technology one.
Ben explains how operating rooms, warehouses, and manufacturing floors generate enormous amounts of unstructured, qualitative data — knowledge that lives in the heads of nurses, technicians, and operators — and how AI is what finally makes that expertise usable across teams. As the product design and engineering arm of Infosys, Kaleidoscope works across physical AI, robotics, surgical systems, drug discovery, and digital design, and Ben shares how the fundamentals of discovering a problem and reducing it to a solution stay the same across every environment.
The conversation digs into the human side of adoption: why rolling out AI requires earning trust, embedding design researchers alongside real workers, and showing people how the technology solves their real problems instead of replacing them — turning resistance into advocacy. Ben shares concrete, measurable outcomes his teams have seen, including a 28% gain in one metric and 15% faster decision-making from better, more interpretable data, and explains why connecting physical AI to warehouse, manufacturing, and ERP systems is where the real efficiency lives.
Ben also unpacks the biggest barriers to adoption — intellectual property, privacy, and data security — and how contextualized tools like Topaz Fabric keep client data inside their own environment. He explains why he's excited about democratizing product development so non-technical leaders can bring ideas to life, how natural-language CAD could take a design from prompt to CNC machine, how agents unlock exponential value only when you redesign processes around them, and why regulators still restrict continuously learning AI models in fields like medical diagnostics. The discussion closes on a hopeful note about patient-specific gene therapies and turning science fiction into the "science future."
Whether you're a product leader, design or engineering professional, CxO, healthcare or manufacturing innovator, or anyone thinking about AI adoption, change management, physical AI, robotics, and the future of product development, this conversation is full of grounded, practical insight.
TIMESTAMPS
00:00 – Introduction: Unlocking AI value in product design
00:50 – Does AI matter for physical products?
01:40 – Hidden data in the operating room
02:45 – AI across surgery, drug discovery & robotics
03:40 – Why adoption is a change management problem
04:40 – Building trust & turning resistance into advocacy
06:00 – Measuring real value: 28% gains & faster decisions
07:10 – Connecting physical AI to warehouse & ERP systems
08:15 – The biggest barrier: IP, privacy & data security
09:30 – Keeping client data safe with contextualized tools
10:25 – Democratizing the product development process
11:40 – From natural-language CAD to the CNC machine
12:35 – "Design with, not design for": co-designing with people
13:20 – How agents unlock exponential value
14:15 – Regulation, safety & continuously learning AI models
15:10 – Patient-specific therapies & the "science future"
15:35 – Closing thoughts
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