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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? Without clarity in metrics, it’s impossible to do meaningful experimentation. The Ethical OS also provides excellent tools for thinking through the impact of technologies. Identifying the problem.

Marketing 361
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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

This anticipated move could completely transform how these companies hire new employees and how they manage and deliver the technology employees use. Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say.

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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. They need to have a culture of experimentation.” CIOs should be “change agents” who “embrace the art of the possible,” he says.

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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

Nearly 15 years ago, the then Vägverket Produktion was incorporated so road maintenance on Sweden’s national road network could be put on the competitive open market. But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested.

Risk 76
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)?

Strategy 290
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How CIOs align with CFOs to build RevOps

CIO Business Intelligence

That means using the technology to improve a company’s marketing, sales, customer success, and RevOps: the process of aligning all three operations across the full customer life cycle in a way that drives growth, improves efficiency, and breaks down silos. But you don’t want to be totally technology focused,” he says.

Sales 118