OpenNashPodcasts

Topic

Accenture

27 facts from 9 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

2000s

Microsoft started Avanade as a joint venture with Accenture in the 2000s to provide partners who could install its enterprise software.

“that's why we started this thing, Avanade, which is a big, big company at this stage, with Accenture. And that was in the 2000s.”

Acquired · The Steve Ballmer Interview, 0:47:45

2025

Daniel Whitenack says Deloitte, Accenture and McKinsey are making a lot of money from AI services.

“The companies that are making a lot of money off of AI are Deloitte, Accenture, McKinsey, right?”

Daniel Whitenack · Workforce dynamics in an AI-assisted world, 0:10:30

2025

Daniel Whitenack says that in enterprise AI the firms making money have been services organizations such as Accenture, Deloitte and McKinsey, while OpenAI has been losing a lot of money.

“The ones making the money is Accenture, Deloitte, McKenzie, uh, et cetera, the the services organizations, right?”

Daniel Whitenack · Cracking the code of failed AI pilots, 0:37:56

Undated

An Accenture survey found about 95 percent of workers see potential value in working with generative AI systems, according to the guest.

“we did a a large survey a bit earlier this year, and we found that 95 of workers see potential value in working with these systems.”

Guest · The AI Skills You Should Be Building Now, 0:04:22

Undated

The same Accenture survey found about 94 percent of professionals said they were ready to learn new skills to work with generative AI, according to the guest.

“94 of professionals tell us that they're ready to learn new skills to work with these gen AI systems.”

Guest · The AI Skills You Should Be Building Now, 0:04:22

Undated

Accenture has an internal knowledge agent called Amethyst that any employee can interact with, according to the guest.

“our own knowledge agent that any employee can interact with.”

Guest · The AI Skills You Should Be Building Now, 0:12:21

Undated

The guest says Accenture employees using Amethyst spend 98 percent less time searching for information than before.

“We're finding that by using Amethyst, uh, our employees are spending 98 less time searching for information than they were previously”

Guest · The AI Skills You Should Be Building Now, 0:12:33

Undated

One company in the guests' research aims to launch 15 new products over five years and trained non-technical experts to make judgment calls with AI.

“One company that we've talked to in our research is aiming to launch 15 new products over the next five years.”

Guest · The AI Skills You Should Be Building Now, 0:18:52

Undated

Daugherty says Accenture used classical AI to improve its software development productivity by about 10% a year.

“we were looking at our, for example, our software development processes and looking at how do we improve the efficiency and productivity of those every year, and we were improving them about 10% a year”

Paul Daugherty · Former Accenture Tech CEO Reveals Top AI Mistakes to Avoid | CXOTalk #895, 0:16:55

Undated

Daugherty predicts consultants will need to bring a foundation model pre-trained on client data and remodel the business live in the first meeting.

“you need to walk in with a foundation model with pre-trained on the client's data and in the CFO's office, be remodeling their business dynamically in the first meeting.”

Paul Daugherty · Former Accenture Tech CEO Reveals Top AI Mistakes to Avoid | CXOTalk #895, 0:22:44

Undated

Julie Sweet describes an Accenture pharma client whose post-approval regulatory content for physicians took months and could be sped up by standardizing processes and data before using AI.

“we work with a pharma company that takes drugs, um, to market. Uh, and there's a process that once the drug is approved, you have lots and lots of regulatory stuff.”

Julie Sweet · Stop waiting for clarity. Unfreeze and act, with Accenture’s Julie Sweet, 0:08:06

Episodes