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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

Given the end-to-end nature of many data products and applications, sustaining ML and AI requires a host of tools and processes, ranging from collecting, cleaning, and harmonizing data, understanding what data is available and who has access to it, being able to trace changes made to data as it travels across a pipeline, and many other components.

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The impact of AI on edge computing

CIO Business Intelligence

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. These servers can host AI models directly, enabling real-time inference without relying on cloud connectivity.

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IoT failures and trust in technology

CONTACT Software

At the beginning of April this year I attended the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 The evening was dedicated to Industrial IoT. took place here.

IoT 40
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IoT failures and the trust in technology

CONTACT Software

At the beginning of April this year I was at the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 The evening was dedicated to Industrial IoT. took place here.

IoT 40
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Governance and Fighting the Curse of Complexity

CIO Business Intelligence

The Burgeoning Complexity of IT and Security Solutions On a business level, complexity comes from growth through acquisition – when enterprises inherit systems of record and of work that, more often than not, are different from one another. There are also complex ERP and CRM solutions – as well as inputs from OT and IoT systems and devices.

IoT 64
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Gen AI without the risks

CIO Business Intelligence

Gen AI will become a fundamental part of how enterprises manage and deliver IT services and how business users get their work done. For the average enterprise, it’s prohibitively expensive. So, does every enterprise need to build a dedicated AI development team and a supercomputer to train their own AI models? Not at all.

Risk 132
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Alphabet pins hopes on Google Cloud as ad revenue growth declines

CIO Business Intelligence

Google Cloud includes Google’s infrastructure and platform services, collaboration tools, and other services for enterprise customers. Google Cloud generates revenue from fees received for Google Cloud Platform services, Google Workspace collaboration tools, and other enterprise services.

IoT 118