Remove Change Management Remove Minimum Viable Product Remove Organization
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Inside Walmart’s generative AI journey

CIO

A driving force behind the progress is Ben Peterson, head of Walmart’s People Product organization. Here, Peterson shares the genesis of Walmart’s latest innovation, as well as the secret to cutting through the hype to make good on the promise of generative AI at scale — something few organizations have accomplished to date.

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CIOs rise to the ESG reporting challenge

CIO

But ESG data is more complex than any other type of data organizations have had to wrangle, spurring leading CIOs to educate themselves quickly on the nuanced challenges of delivering reliable, actionable ESG reporting. Then they need to engage and align with the right people in the organization.

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Micro transformation: Driving big business benefit through quick IT wins

CIO

But by then, the business requirements had changed, “and frankly, it doesn’t work,’’ Mahon says. So Mahon is driving digital transformation in a different direction, doing minimum viable products (MVPs), or micro transformations, which are pieces of a system that are digitized in small increments.

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Product-Driven vs. Project Driven: What’s the Difference?

Perficient

One crucial decision organizations must make is choosing between a project-driven or a product-driven approach for product development. A project-driven approach prioritizes the completion of individual projects, while a product-driven approach prioritizes the creation and ongoing improvement of one or more specific products.

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Myths of Replatforming

The Agile Manager

The replatformed business promises innovation at scale and larger cash flows from operations that, combined, position it to grow both organically and through acquisition. We'll build the platform first, then change the organization once it's live. and then we'll change process and organization once it's up and running.

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Under increasing pressure, how can CIOs convince CFOs to invest in AI?

CIO

While 80% of organizations plan on increasing AI investment, CFOs often dont know how to start. Being strategic about AI and measuring whether those investments are paying off requires clear goals, reliable data, and collaboration challenges many organizations struggle to overcome. About a third of them feel they lack a clear vision.