Global Technical Product Advocacy Lead, DataRobot
Atalia Horenshtien is a Global Technical Product Advocacy Lead at DataRobot. She plays a vital role as the lead developer of the DataRobot technical market story and works closely with product, marketing, and sales. As a former Customer Facing Data Scientist at DataRobot, Atalia worked with customers in different industries as a trusted advisor on AI, solved complex data science problems, and helped them unlock business value across the organization.
Whether speaking to customers and partners or presenting at industry events, she helps with advocating the DataRobot story and how to adopt AI/ML across the organization using the DataRobot platform. Some of her speaking sessions on different topics like MLOps, Time Series Forecasting, Sports projects, and use cases from various verticals in industry events like AI Summit NY, AI Summit Silicon Valley, Marketing AI Conference (MAICON), and partners events such as Snowflake Summit, Google Next, masterclasses, joint webinars and more.
Atalia holds a Bachelor of Science in industrial engineering and management and two Masters—MBA and Business Analytics.
Posts by Atalia Horenshtien
Learn how AI can help businesses reduce customer and employee churn with granular insights and targeted intervention tactics. Explore DataRobot AI Platform.
DataRobot introduces improvements and new capabilities for customers to maximize their Snowflake investment and be more productive and governed with enterprise data. Learn more.
Subscribe to our Blog
Get regular updates on data science, artificial intelligence, machine learning, and more.
We will contact you shortly
We’re almost there! These are the next steps:
- Look out for an email from DataRobot with a subject line: Your Subscription Confirmation.
- Click the confirmation link to approve your consent.
- Done! You have now opted to receive communications about DataRobot’s products and services.
Didn’t receive the email? Please make sure to check your spam or junk folders.
Organizations that want to accelerate AI and generate significant business impact are now able to deliver augmented intelligence at scale with DataRobot AI Platform Single-Tenant SaaS and Google Cloud.
By simplifying Time Series Forecasting models and accelerating the AI life cycle, DataRobot can centralize collaboration across the business. Read more.
Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events.
As a data scientist, I’ve worked with many companies that are looking to implement AI and ML in marketing use cases. Though many marketers are excited about the possibilities of AI, they also have trouble understanding what AI is and how to utilize it in their jobs. There are a lot of great ways to use AI in marketing organizations.…
Let’s talk about top three challenges in AI preventing your organization from getting to the next level and understand why they are important.