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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. For the sake of argumentation, we will assume the machine learning model is periodically trained on a finite set of historical data.

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Swiss energy services company uses machine learning to see the future

CIO

Swiss energy services company IWB has a vision of a world with a fully renewable, climate-friendly energy supply. The new installations shifted the consumption trend, resulting in a higher network load, impacting electric utility company distribution grids. Not long ago, though, that goal seemed difficult to conceptualize.

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Slack’s former head of machine learning wants to put AI in reach of every company

TechCrunch

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. Last year he decided to leave Slack and go out on his own and started Graft to solve the problem for many companies. he said. “The

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Arthur.ai machine learning monitoring gathers steam with $42M investment

TechCrunch

It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals. snags $15M Series A to grow machine learning monitoring tool.

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA? What is AI?

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AWS adds machine learning capabilities to Amazon Connect

CIO

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect.

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Tecton.ai nabs $35M Series B as it releases machine learning feature store

TechCrunch

Tecton.ai , the startup founded by three former Uber engineers who wanted to bring the machine learning feature store idea to the masses, announced a $35 million Series B today, just seven months after announcing their $20 million Series A. The company has now raised $60 million.

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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. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.

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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.

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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. Real-world best practices for getting company buy-in, vendor selection, and tracking progress. The five key things to consider when looking for an AI vendor.

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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. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.

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Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply Chain

Speaker: Jay Black, Senior Account Executive

We’ve all heard the buzzwords to describe new supply chain trends: resiliency, sustainability, AI, machine learning. But what do these really mean today? Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible.