HPE collaborated with Deloitte on the Zora platform, which HPE calls Alfred.
“we collaborated with Deloitte on called Zora. We call it Alfred at HPE.”
Person
Marie Myers
1 episodes · 18 quoted claims
HPE co-engineered with Nvidia on a NIM to make its finance AI give consistent, deterministic answers.
“we actually co-engineered with Nvidia, uh, on a nim to help crack determinism, because you just can't get finance data wrong.”
Myers says Alfred holds about half a million data elements.
“we have about half a million data elements in Alfred, and it it is just amazing to me.”
HPE runs its finance AI on a private cloud AI architecture, meaning on-premises infrastructure that holds the data.
“private cloud AI architecture, which is basically on prem infrastructure to house the data”
HPE's weekly operations call, held on Mondays, is one of the most important processes that finance drives, and Alfred was scaled to support it.
“So the ops call, which we have every Monday at about midday around this time, is probably one of the most important processes that finance in the company, you know, actually drives on a weekly basis.”
HPE named its platform Alfred after Batman's wingman, seeing it as a wing person for finance.
“we've called our platform inside of HPE Alfred, which is actually Batman's wingman, cause, you know, we sort of see Alfred as our wing person, frankly.”
Myers says Alfred was on version 65 or later at the time of the interview.
“I'd say on Alfred, for example, I think we're on version sixty-five plus.”
Myers and her team trained more than 3,000 people in HPE's organization on AI over a couple of years.
“literally training more than 3,000 people in our organization.”
HPE centralized its FP&A team into one organization and reviewed its work end to end before adding AI.
“we actually decided to pull all the FP&A team together under one central organization and then look end to end across their work.”
Myers spent about a decade working on robotic process automation and machine learning before moving to AI.
“I spent about a decade working in in areas like RPA, which is robotics, process automation and sort of ML, and then evolved into AI.”
Myers went on to be CFO of a fairly large robotic process automation startup.
“I went on actually to be the CFO of a fairly large, uh, RPA startup.”
Myers says software engineering is fast becoming the hottest area for deploying generative AI.
“So I think software engineering, code development is is fast becoming probably the hottest area for the deployment of, uh, gener, you know, generative AI.”
Myers says Microsoft Copilot includes agentic workflows, such as an Excel bot, that FP&A teams can use.
“They actually have an Excel bot as an example, which helps you, you know, really rapidly, uh, enable and use Excel and and helps FP&A teams, frankly, get their analytical work done.”
Myers describes herself as an ex-auditor and a willing early adopter of technology.
“I'm an ex-auditor, so I have a fairly, how do you say, strong risk appetite, and and I'm perhaps a willing to be an early adopter of technologies”
Myers recalls that in her first job as an analyst out of graduate school she built pivot tables for hours.
“I was back then a bit of a pivot table queen.”
Myers says she worked with professors and co-wrote a book on driving organizational change with technologies like RPA and machine learning.
“I worked with some professors and we worked on all these theories, and actually even wrote a book about it, Michael, on how to drive organizational change with with technologies like RPA and ML.”
Myers says she sits on boards where AI deployment is a regular topic.
“today, I sit on boards, and it's in the boardroom.”
Myers said she planned to experiment with OpenClaw on a Mac Mini she ordered for use at home.
“this weekend I'm hoping to go play with with open claw. I ordered myself a Mac Mini to sort of play at home, teach the kids.”