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AI & the enterprise: protect your data, protect your enterprise value

CIO

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Stolen datasets can now be used to train competitor AI models.

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Sesamm bags $37M to give corporates ESG insights using natural language processing

TechCrunch

Companies can access Sesamm’s flagship product, TextReveal , via several conduits, including an API that brings Sesamm’s NLP engine into their own systems. Elsewhere, private equity firms can use Sesamm for due diligence on potential acquisition or investment targets.

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What is NLP? Natural language processing explained

CIO

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Protecting your business from unforeseen outages: Lessons from the recent CrowdStrike incident

CIO

As organizations increasingly rely on cloud-based services and cybersecurity solutions to protect their digital assets, the incident serves as a stark reminder of the vulnerabilities inherent in even the most robust systems. CIOs should plan accordingly by assessing business impacts, focusing on the most critical systems.

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AI meets and beats enterprise networking challenges

CIO

In a typical environment where you have different layers of monitoring, you would expect alerts from the network management platform, the storage management system, the application management tool, and your database monitor. Yet all these failures come down to the same root cause – a failed switch connection.

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Through the Looking Glass: Exploring the Wonderland of Testing AI Systems

Xebia

Artificial Intelligence (AI) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). As we depend more on these systems, testing should be a top priority during deployment. This article explains where to start and what is required to avoid overdosing on chamomile to sleep at night.