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Securing the algorithm: IT’s evolving role in governing AI access, identity, and risk

CIO

Artificial intelligence (AI) is redefining security not just by creating new threats but also by becoming a threat surface itself. As intelligent systems are integrated into core workflows, IT teams are now responsible for governing how AI accesses data, interacts with users, and introduces risk into the environment.

Algorithm 405
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Custom AI models help MWAA deliver better airport experiences

CIO

Queue Hub, begun in earnest in July 2023, was created using machine learning (ML) algorithms, open-source object detection algorithms, and custom AI models. The homegrown platform, now fully operational, runs on AWS and is enhanced continuously, Kundu says. It’s a living system. It’s very fluid.

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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.

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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.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO

The virtual representation of the physical entity, constructed using data, algorithms and simulations. These models utilize machine learning algorithms and AI techniques to predict behaviors, identify patterns and generate insights. The real-world object or system being modeled. Digital model. Data integration.

Algorithm 435
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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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CIOs look beyond ‘Big 3’ cloud providers for AI innovation

CIO

Athos could have opted for one of the big three hyperscalers AWS, Google Cloud, or Microsoft Azure but training its algorithms and scaling various types of scientific omics data would be prohibitively expensive on those platforms, Guo says. The move to Vultr has also proved less expensive, he says.