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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? One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Identifying the problem.

Marketing 364
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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. This is where Operational AI comes into play.

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How will AI agents be priced? CIOs need to pay attention

CIO Business Intelligence

The $2-per-conversation approach can include many back-and-forth interactions between a customer and Agentforce, says Ryan Shellack, senior director of AI product marketing at Salesforce. It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. times compared to 2023 but forecasts lower increases over the next two to five years. A human-centric approach helps with the change management efforts around using agentic AI while evaluating the benefits and risks.

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5 tips for better business value from gen AI

CIO Business Intelligence

Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. A second area is improving data quality and integrating systems for marketing departments, then tracking how these changes impact marketing metrics.

Sales 143
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Delays in TSMC’s Arizona plant spark supply chain worries

CIO Business Intelligence

Wei also noted that chemical supply costs in the US are substantially higher, citing the need to ship sulfuric acid from Taiwan to Los Angeles and then transport it to Arizona by truck. Supply chain constraints, such as higher material costs and logistical challenges, further increase expenses.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know? Where is all of that data going to come from?

Big Data 275