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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? If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. If you’re an AI product manager (or about to become one), that’s what you’re signing up for.

Marketing 363
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Why business resilience depends on software agility

CIO Business Intelligence

ChatGPT) the speed with which businesses are able to respond to changing market dynamics and customer needs is critical. In a world where companies are defined by the digital services they can deliver, software agility IS business agility, and in turn results in better business outcomes. A common data platform, 2.

Software 105
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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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7 cloud market trends and how they will impact IT

CIO Business Intelligence

The cloud market has been a picture of maturity of late. The pecking order for cloud infrastructure has been relatively stable, with AWS at around 33% market share, Microsoft Azure second at 22%, and Google Cloud a distant third at 11%. Here are the top cloud market trends and how they are impacting CIO’s cloud strategies.

Marketing 144
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Managing risk in machine learning

O'Reilly on Data

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. If machine learning is going to eat software , we will need to grapple with AI and ML security, too.

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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.