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AI data readiness: C-suite fantasy, big IT problem

CIO

Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. Thats where the friction arises.

IT 504
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Build a strong data foundation for AI-driven business growth

CIO

If the data volume is insufficient, it’s impossible to build robust ML algorithms. Getting trusted results There’s no need for any organization to rely on traditional data management, data prep, and algorithms. If the data quality is poor, the generated outcomes will be useless.

Business 418
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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

Algorithm 290
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Artificial Intelligence in practice

CIO

Some examples of AI consumption are: Defect detection and preventative maintenance Algorithmic trading Physical environment simulation Chatbots Large language models Real-time data analysis To find out more about how your business could benefit from a range of AI tools, such as machine learning as a service, click here.

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Google claims quantum leap with new Willow chip

CIO

Willow thus brings the implementation of practical, commercially relevant algorithms that cannot be replicated on conventional computers, Neven claims. For Neven, this has resulted in the most convincing prototype for a scalable logical qubit to date. He sees this as a sign that useful, very large quantum computers can actually be built.

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AI market evolution: Data and infrastructure transformation through AI

CIO

Many believe that responsible AI use will help achieve these goals, though they also recognize that the systems powering AI algorithms are resource-intensive themselves. Companies are seeking ways to enhance reporting, meet regulatory requirements, and optimize IT operations.

Marketing 482
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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.