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LexisNexis rises to the generative AI challenge

CIO

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. In total, LexisNexis spent $1.4

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Cybersecurity startup Ordr nabs $40M to monitor connected devices for anomalies

TechCrunch

billion internet of things (IoT) devices in use. “The visibility gap and the resulting risk was greatest for those unmanaged IoT, internet of medical things, and operational technology devices that could not be secured like traditional IT infrastructure.” In 2015, there were approximately 3.5 hospitals today. . .”

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DataDome, which uses AI to protect against bot-based attacks, raises $42M

TechCrunch

of internet traffic in 2021 wasn’t human, but instead bots that ran automated routines with ill intent. They sought to build a platform that could prevent bot-based threats, but in a unique way — one that eschewed static rules for machine learning that assesses every request to a website, mobile app or API.

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A CIO primer on addressing perceived AI risks

CIO

Personal computers, then the internet, and then smartphones all led to opportunities for computer-augmented humanity. In AI terms, thinking slow is what expert systems, and for that matter, old-fashioned computer programming, do. There’s no reason to expect a machine-learning AI to be immune from this fallacy.

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

Or simply forget to read bookmarked posts because…there is just too much content on the internet. In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. Machine learning can help to overcome these limitations.

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Insurance Technologies: 13 Disruptive Ideas to Change Insurance Companies with Telematics, Blockchain, Machine Learning, and APIs

Altexsoft

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

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Agent Swarms – an evolutionary leap in intelligent automation

CIO

These autonomous software agents, working collaboratively in a decentralized fashion, are not just a technological marvel; they are an imperative response to the escalating complexity of today’s challenges. Use predefined rules, machine learning models, or a combination of both to make informed decisions.