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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.

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading. Exit based on strategies: Such plans can assist you in limiting losses as they inform the system when to stop trading. Enables Animation of 3D charts which can help you: .

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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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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. Threat actors have their eyes set on AI-powered cybersecurity tools that gather information across data sets, which can include confidential information. Take for instance large language models (LLMs) for GenAI.

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Google claims quantum leap with new Willow chip

CIO

In addition, the quality of qubits aka quantum bits, the basic units of information for quantum computing is not yet sufficient for longer calculations. Willow thus brings the implementation of practical, commercially relevant algorithms that cannot be replicated on conventional computers, Neven claims.

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Why data quality drives AI success

CIO

When it comes to AI, the secret to its success isn’t just in the sophistication of the algorithms — it’s in the quality of the data that powers them. By understanding the objective and working backward to identify the relevant data, companies can ensure their models are built on the right information.

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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.

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