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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. It starts to inform the art of the possible.

IT 504
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Dulling the impact of AI-fueled cyber threats with AI

CIO

While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. It can also create cyber threats that are harder to detect than before, such as AI-powered malware, which can learn from and circumvent an organization’s defenses at breakneck speed.

Security 482
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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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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Enables Animation of 3D charts which can help you: .

Algorithm 363
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Algorithmic Trading Communities Show the Benefits of AI

Smart Data Collective

A growing number of traders are taking advantage of AI technology to make more informed trading decisions. Some use machine learning technology to create models that more accurately predict price movements. However, some have started using AI to automate many trading decisions with algorithmic trading. from 2022 to 2027.

Algorithm 317
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Akeneo aims to transform the retail playbook with AI and data consistency

CIO

Its newly appointed CEO, Romain Fouache, is bringing Australian retailers a collection of cloud-based technologies, including Product Information Management (PIM), Syndication, and Supplier Data Manager capabilities to rapidly scale the depth and maturity of their AI applications.

Retail 396
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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

Security 424