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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

(P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. Smart manufacturing at scale.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. says CIOs should apply agile processes to their gen AI strategy. It’s not a hammer.

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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of most generative AI experimentation in business today. Naturally, cost will be a major factor in determining the extent to which these models will be customized.

IT 119
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ConocoPhillips enlists 3D printing for supply efficiencies on Alaska’s North Slope

CIO Business Intelligence

At yet when it is home to many of your company’s assets, as is the case for ConocoPhillips, sometimes the best IT strategy is to bring technologies closer to the edge. So Mathur and De Bernardi put together a cross-functional team to develop a strategy that would rely heavily on partnerships across the company.

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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

British multinational packaging giant DS Smith has committed itself to ambitious sustainability goals, and its IT strategy to standardize on a single cloud will be a key enabler. The single-cloud platform strategy will include SaaS partners used for automation of more than 40 enterprise applications, Dickson says.

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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
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The portfolio approach to digital transformation: 4 keys to success

CIO Business Intelligence

Such a risk-based capital approach is important as it provides a new experimental push to the organization that may propel it into a new orbit,” says Rabra. A manufacturing organization can be broken down into three big blocks — manufacturing, supply chain, and sales and marketing — wherein the company strives to bring in efficiencies.