Remove 2018 Remove Machine Learning Remove Systems Review
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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?” Maintaining a clear audit trail is essential when data flows through multiple systems, is processed by various groups, and undergoes numerous transformations. The company later estimated losses of $100 million due to the attack.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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Are you ready for MLOps? 🫵

Xebia

The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Why is that? Graph refers to Gartner hype cycle.

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The State of the Octoverse: machine learning

Github

In our 2018 Octoverse report, we noticed machine learning and data science were popular topics on GitHub. We decided to dig a little deeper into the state of machine learning and data science on GitHub. We decided to dig a little deeper into the state of machine learning and data science on GitHub.

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Protect AI lands a $13.5M investment to harden AI projects from attack

TechCrunch

Seeking to bring greater security to AI systems, Protect AI today raised $13.5 Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. A 2018 GitHub analysis found that there were more than 2.5

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How AI/ML is changing the way businesses work

Hacker Earth Developers Blog

One of the most exciting and rapidly-growing fields in this evolution is Artificial Intelligence (AI) and Machine Learning (ML). Simply put, AI is the ability of a computer to learn and perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects in pictures.

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7 famous analytics and AI disasters

CIO

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

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