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May 23, 2022

Tracking the carbon footprint of model training

Magdalena SteniusMagdalena Stenius

What started as a fun side project for our developer Magda turned out to be a proud addition to the platform. Valohai can now estimate the carbon emissions of cloud instances. Yay!

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May 16, 2022

What every data scientist should know about the command line

Juha KiiliJuha Kiili

Almost any programming language in the world is more powerful than the command line. Why would you even bother doing anything on it? Don't be fooled: the modern command line is rocking like never before!

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May 09, 2022

Is online inference causing your gray hair?

Viktoriya KuzinaViktoriya Kuzina

Suppose you find your projects to be in the gray area between the extremes of delayed and real-time inference where you can go with either one, ask yourself if you can delay. And if you can, you should!

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April 26, 2022

MLOps for IoT and Edge

Henrik SkogströmHenrik Skogström

There's a new wave of automation being enabled by the combination of machine learning and smart devices. With the complexity of use cases and amount of devices increasing, we'll have to adopt MLOps practices designed for IoT and edge.

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March 30, 2022

Three ways to mitigate model output risk

Eikku KoponenEikku Koponen

Machine learning comes with new types of risk. We need to minimize the risk by addressing how we develop these algorithms and also how we apply these algorithms in the real world. In this article, we'll look at three ways of mitigating the latter – i.e. output risk.

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March 15, 2022

Mike Del Balso joins Valohai’s advisory board

Eero LaaksonenEero Laaksonen

Mike Del Balso is a familiar name to most in the machine learning community. He's one of the pioneers in the MLOps space and has laid the foundations for operational machine learning at Uber, Google, and most recently, Tecton.

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March 10, 2022

Experimentation at Scale: a Q&A with Serg Masís from Syngenta

Juha KiiliJuha Kiili

Syngenta is a leading provider of agricultural science and technology focused on seed and crop protection products aiming to improve global food security by enabling millions of farmers to make better use of available resources.

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February 24, 2022

One size doesn't fit all - How the use case affects ML system complexity

Eikku KoponenEikku Koponen

Algorithms have become faster, fancier, and more complex in the past couple of years. Still, they haven't gained as much complexity as the systems around algorithms. In this article, we'll discuss three examples of systems complexity.

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February 14, 2022

Docker for Data Science: What every data scientist should know about Docker

Juha KiiliJuha Kiili

Docker isolates the software from all other things on the same system. A program running inside a "spacesuit" generally has no idea it is wearing one and is unaffected by anything happening outside.

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February 08, 2022

The 3Ps: The foundation of an AI trailblazer

Eero LaaksonenEero Laaksonen

People, Processes and Platforms are the foundation for every company looking to be an early-mover in machine learning. Leaders should focus on developing in tandem because unsupported team members will be ineffective and platforms alone can't provide value.

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January 27, 2022

What every data scientist should know about Python dependencies

Juha KiiliJuha Kiili

Dependency management is the act of managing all the external pieces that your project relies on. It has the risk profile of a sewage system. When it works, you don't even know it's there, but when it fails, it becomes very painful and almost impossible to ignore.

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January 24, 2022

Valohai strengthens its advisory board with Robocorp CEO Antti Karjalainen

Eero LaaksonenEero Laaksonen

We're excited to announce Antti Karjalainen to our advisory board. He's the founder of Robocorp, a leader in developer-first RPA. To Valohai, Antti brings his unique perspective on the developer tooling space and go-to-market strategy.

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January 19, 2022

Top 7 AI Trends in 2022

Sunny KellmanSunny Kellman

A recent report by Harvard Business Review revealed that the pandemic accelerated the adoption of AI and data-driven innovation. In this article, we set out to explore the top AI trends and predict what we'll see pop in 2022.

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January 17, 2022

Managing AI Products: Feasibility, Desirability and Viability

Henrik SkogströmHenrik Skogström

Product management is as massive a topic as machine learning so let's start with a fundamental question. When is it worthwhile to develop an AI product? A helpful tool most PMs have seen for this is the Sweet Spot for Innovation that IDEO popularized.

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January 14, 2022

Running Weights & Biases Experiments on Valohai Pipelines

Eikku KoponenEikku Koponen

Sometimes it is hard to combine the world of experimenting and the more dev-oriented world of data science with robust pipelines and modular work. This example combines Weights and Biases experiments with Valohai's production pipelines.

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