Best Practices for AI and ML in Financial Markets with Automated Machine Learning hero banner
On-Demand Webinar

Best Practices for AI and ML in Financial Markets with Automated Machine Learning

Machine learning techniques cannot magically make “signal” appear out of thin air, nor can they make unstable factors more stable. Data science typically succeeds where there are complex behaviors that can be described in data and where consistent inputs lead to consistent “predictable” outcomes.

Nevertheless, there are a number of useful best practices that set apart machine learning techniques from the traditional quantitative toolbox, and automated machine learning has a compelling proposition for modern quantitative traders and investors.

Join Peter Simon, DataRobot’s lead data scientist for financial markets, for a live webinar as we explore how to harness the power of automated machine learning to make quants and data scientists massively more efficient and productive.

We’ll discuss:

  • How to ensure that your expertise is put to good use
  • How automated machine learning allows your team to build sophisticated models without requiring a technical data science background
  • Common misconceptions and pitfalls in financial machine learning and how to avoid them
  • How to ensure that your machine learning models don’t just look great on paper, but also make money in production
  • Why ‘black boxes’ are no longer a thing
  • And much more.

Speaker

Peter Simon
Peter Simon

Managing Director, Financial Markets Data Science

DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI