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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. more machine learning use casesacross the company.

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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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Explosion snags $6M on $120M valuation to expand machine learning platform

TechCrunch

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. The round was led by SignalFire, and the company reported that today’s investment represents 5% of its value.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. In twin reports , API marketplace RapidAPI found that 90.5% To have zero trust you need API clarity. ”

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI.

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Why most machine learning projects stumble

TechBeacon

Despite widespread interest in machine learning (ML), relatively few projects leave the proof-of-concept phase and enter production.

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Managing risk in machine learning models

O'Reilly Media - Data

Burt recently co-authored a white paper on managing risk in machine learning models , and I wanted to sit down with them to discuss some of the proposals they put forward to organizations that are deploying machine learning. Continue reading Managing risk in machine learning models.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Download the report to gain insights including: How to watch for bias in AI. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.