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Alex Combessie

Giskard 2023 retrospective
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Giskard's retrospective of 2023 and a glimpse into what's next for 2024!

2023 retrospective, covering people, company, customers, and product news, also offers a glimpse into what's next for 2024. Our team keeps growing, with new offices in Paris, new customers, and product features. Our GitHub repo has nearly reached 2500 stars, and we were Product of the Day on Product Hunt. All this and more in our 2023 review.

Alex Combessie
Alex Combessie
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Clément Delangue representing Hugging Face at the US Congress!
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The Open-Source AI Imperative: Key Takeaways from Hugging Face CEO's Testimony to the US Congress

Explore key insights from Clément Delangue's testimony to the US Congress on Open-Science and Open-Source AI. Understand the importance of Open-Source & Open-Science to democratize AI technology and promote ethical AI development that benefits all.

Alex Combessie
Alex Combessie
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Gartner Research
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Giskard mentioned as a significant vendor in Gartner's Market Guide for AI Trust, Risk and Security Management

AI poses new trust, risk and security management requirements that conventional controls do not address. This Market Guide defines new capabilities that data and analytics leaders must have to ensure model reliability, trustworthiness and security, and presents representative vendors who implement these functions.

Alex Combessie
Alex Combessie
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Giskard at FOSDEM 2023
Blog

FOSDEM 2023: Presentation on CI/CD for ML and How to test ML models?

In this talk, we explain why testing ML models is an important and difficult problem. Then we explain, using concrete examples, how Giskard helps ML Engineers deploy their AI systems into production safely by (1) designing fairness & robustness tests and (2) integrating them in a CI/CD pipeline.

Alex Combessie
Alex Combessie
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Giskard 2022 in Review: Agenda
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Giskard's retrospective of 2022... And a look into what's coming in 2023!

Giskard's retrospective of 2022, covering people, company, customers and product news, and a look into what's next for 2023. 2022 was a pivotal year, as we went from 3 to 10 people, raised our first round, expanded our product and grew our customer base. We share a special announcement, and unveil the key features that will come in Giskard 2.0 this year.

Alex Combessie
Alex Combessie
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Giskard's co-founders: Andrei Avtomonov (left), Jean-Marie John-Mathews (center), Alex Combessie (right)
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Giskard closes its first financing round to expand Enterprise offering

The funding led by Elaia, with participation from Bessemer Venture Partners and notable angel investors, will accelerate the development of an enterprise-ready platform to help companies test, audit & ensure the quality of AI models.

Alex Combessie
Alex Combessie
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Dollar Planets Generated by OpenAI DALL·E
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Why do Citibeats & Altaroad Test AI Models? The Business Value of Test-Driven Data Science

Why do great Data Scientists & ML Engineers love writing tests? Two customer case studies on improving model robustness and ensuring AI Ethics.

Alex Combessie
Alex Combessie
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Synthwave astronauts polishing the hull of a giant marine turtle in space - Generated by OpenAI DallE
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Does User Experience Matter to ML Engineers? Giskard Latest Release

What are the preferences of ML Engineers in terms of UX? A summary of key learnings, and how we implemented them in Giskard's latest release.

Alex Combessie
Alex Combessie
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Sea Turtle
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Why & how we decided to change Giskard's identity

We explain why Giskard changed its value proposition, and how we translated it to a new visual identity

Alex Combessie
Alex Combessie
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Happy ML Tester
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Giskard's new feature: Automated Machine Learning Testing

The Open Beta of Giskard's AI Test feature: an automated way to test your ML models and ensure performance, robustness, and ethics

Alex Combessie
Alex Combessie
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A billion stars
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Who cares about AI Quality? Launching our AI Innovator community

The Giskard team explains the undergoing shift toward AI Quality, and how we launched the first community for AI Quality Innovators

Alex Combessie
Alex Combessie
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Open Ocean
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Why & how we decided to make Giskard Open-Source

We explain why the Giskard team decided to go Open-Source, how we launched our first version, and what's next for our Community.

Alex Combessie
Alex Combessie
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Happy new year 2022
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Wishing y’all a happy & healthy 2022! 🎊

The Giskard team wishes you a happy 2022! Here is a summary of what we accomplished in 2021.

Alex Combessie
Alex Combessie
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Trust in AI systems
Blog

8 reasons why you need Quality Testing for AI

Understand why Quality Assurance for AI is the need of the hour. Gain competitive advantage from your technological investments in ML systems.

Alex Combessie
Alex Combessie
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Quality Monitoring Dashboard
Blog

How did the idea of Giskard emerge? #8 👁‍🗨 Monitoring

Monitoring is just a tool: necessary but not sufficient. You need people committed to AI maintenance, processes & tools in case things break down.

Alex Combessie
Alex Combessie
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Frances Haugen testifying at the US Senate
Blog

How did the idea of Giskard emerge? #7 👮‍♀️ Regulation

Biases in AI / ML algorithms are avoidable. Regulation will push companies to invest in mitigation strategies.

Alex Combessie
Alex Combessie
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Giskard founders: Alex and Jean-Marie
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How did the idea of Giskard emerge? #6 👬 A Founders' story

Find out more about Giskard founders story

Alex Combessie
Alex Combessie
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Ai incident database
Blog

How did the idea of Giskard emerge? #5 📉 Reducing risks

Technological innovation such as AI / ML comes with risks. Giskard aims to reduce it.

Alex Combessie
Alex Combessie
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Five star quality standards
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How did the idea of Giskard emerge? #4 ✅ Standards

Giskard supports quality standards for AI / ML models. Now is the time to adopt them!

Alex Combessie
Alex Combessie
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Recommender System
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How did the idea of Giskard emerge? #3 📰 AI in the media

AI used in recommender systems is posing a serious issue for the media industry and our society

Alex Combessie
Alex Combessie
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User interfaces - counting sheeps
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How did the idea of Giskard emerge? #2 🐑 User Interfaces

It is difficult to create interfaces to AI models Even AIs made by tech giants have bugs. With Giskard AI, we want to make it easy to create interfaces for humans to inspect AI models. 🕵️ Do you think interfaces are valuable? If so, what kinds of interfaces do you like?

Alex Combessie
Alex Combessie
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Running tests
Blog

How did the idea of Giskard emerge? #1 🤓 The ML Test Score

The ML Test Score include verification tests among 4 categories: Features and Data, Model Development, Infrastructure and Monitoring Tests

Alex Combessie
Alex Combessie
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