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Akeneo aims to transform the retail playbook with AI and data consistency

CIO Business Intelligence

It demands a robust foundation of consistent, high-quality data across all retail channels and systems. AI has the power to revolutionise retail, but success hinges on the quality of the foundation it is built upon: data. The Data Consistency Challenge However, this AI revolution brings its own set of challenges.

B2B 105
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Practical Skills for The AI Product Manager

O'Reilly on Data

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product. Consumer Companies Versus B2B Companies.

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The targeted approach to cloud and data CIOs need for ROI gains

CIO Business Intelligence

Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.

ROI 119
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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.

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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

Big data is no longer a luxury for businesses. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. Longer buying cycles, more risk, and larger transactions.

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How Big Data and AI are Revolutionizing Payments

Smart Data Collective

Data has become an essential asset for companies everywhere. By interpreting and analyzing the data, organizations can understand and predict trends, improve security and make data-driven decisions. In this post, we’ll explore how organizations can leverage big data and AI instruments to improve their ROI.

Big Data 139
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 64