Andrew Khvatov
@andrewkhvatov
Helping a b2b world to find AI-success.
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Applying #machinelearning to financial markets is a tricky game. In this blog series, we'll explore where #AI is relevant and useful for financial markets to support and enhance investment processes. But first, a level set: datarobot.com/blog/ai-in-fin…
Calling all #STEM enthusiasts: DataRobot and @varsitytutors are teaming up for a free #AI summer camp! 💡🤖🧠 Learn from #artificialintelligence experts, explore top-of-mind concerns surrounding AI, and build your own mini-project. Learn more: bit.ly/39i1fnG
What is Humble #AI? Why should humility be a characteristic you look for in the fabric of your AI? On July 23rd, our Trusted AI team has answers to these questions and more. Register today: bit.ly/3eyTqdY
Baseball fans rejoice: the 60-game #MLB season officially begins July 24th. Who is projected to win each division in the abbreviated season? Who will make the wildcard? Who will be the top pitchers and batters? We turned to the #data. bit.ly/2Oaofel
Let’s get deep ⏬ Next week at @ODSC’s Applied AI virtual event, demystify #deeplearning in 🔟 minutes or less with AutoML. The conference is free to attend, register here: bit.ly/3izpp11
The 2020 @Forbes #AI50 list is out—we’re excited and honored to have been named one of the most promising #AI companies in the US for the second year in a row. Read the blog: bit.ly/31RXUd4 #AIDriven
Got an hour? That’s all you'll need to start adding value to your projects through #machinelearning. Register for this workshop during @ODSC’s Applied AI event: bit.ly/2B0rSRn
Where could your career go if you strengthened your #datascience chops? Applications are still open for 10x: The Applied Data Science Academy. Upskill with relentlessly practical data science education, right from your home office. Apply now: bit.ly/31xu2Cy
As organizations within each segment of #retail navigate the new normal, pressure is mounting to drive revenue while providing an outstanding customer experience. Jul 8 @arikaplan1 will discuss how retailers are catering to the empowered consumer with #AI: bit.ly/2Bdt0AS
A lesson in data preparation packages: always get your hands dirty, via @TDataScience. towardsdatascience.com/how-data-prep-…
Minimizing #prediction error is just the tip of the iceberg. Beneath the surface lies a lot of uncertainty that we often ignore when building models, but embracing this uncertainty can help inform better decision-making. towardsdatascience.com/probabilistic-…
There will always be black swan events we can't forecast; right now, leaders are using #AI to make their organizations resilient against unexpected changes. Learn how in today's blog: datarobot.com/blog/coping-wi…
❄️❄️❄️ DataRobot + @SnowflakeDB, now available through Snowflake Partner Connect. Seamlessly execute on your AI strategy, right from your favorite cloud data platform. Check out today's blog for a Partner Connect walkthrough: datarobot.com/blog/datarobot…
How are #tech leaders coping with a changing landscape and extraordinary demands that have emerged during the first six months of 2020? Focus, normalcy, and a whole lot of grit. datarobot.com/blog/leading-t…
The path to #AI success isn't always clear, which is why we've launched Pathfinder 🚀 a comprehensive use case library for organizations across industries to discover use cases and understand how to implement them effectively. Explore: pathfinder.datarobot.com
In 2020, everything is different—which means #datascience and #analytics teams must adapt accordingly. In this panel discussion, our customers shared how they've been leading their teams through turbulent times: bit.ly/3dpEQ8i (Special thanks to @tdav for moderating!)
❗New feature alert: #MLOps Champion/Challenger models. Similar to A/B testing from a marketing perspective, this feature allows users to test multiple predictive models in a production environment. Learn more: datarobot.com/blog/introduci…
datarobot.com
Introducing MLOps Champion/Challenger Models
MLOps champion/challenger models are generally available in Release 6.1 that's now live. Find out more about this new DataRobot MLOps feature.
Searching for success? Make sure you fail, and then quit. No, really. Watch the full keynote: bit.ly/2AQVvEs
“Let’s get back to remarkable.” Quote of yesterday morning from @AutomationAnywh @MihirAndNow. Watch the recorded panel discussion: bit.ly/37NuGgA
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