AI in Action E423: Dilyan Kovachev, Director of Machine Learning and Analytics at Treasure Data

,  | February 24 2023 | JP Valentine

Welcome to episode 423 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Dilyan Kovachev, Director of Machine Learning and Analytics at Treasure Data. Founded in 2011, Treasure Data was built to radically simplify customer data management and help brands use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Treasure Data helps hundreds of Fortune 500 and Global 2000 customers – including some of the world’s most recognizable brands – generate new data opportunities.

Customer Data Cloud, their award-winning suite of customer data platform solutions, integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales and retention. This flexible, scalable and secure platform has a comprehensive connector network that evolves with  existing technology stack to future-proof all customer data initiatives.

In the episode, Dilyan will discuss:

Treasure Data’s work within customer data

Use cases of their focus in marketing, sales & service

An insight into the ML and Data Science team

The journey of building his team from scratch

Plans for growth and the roadmap for the near future

What makes Treasure Data a great place to work

To find out more about all the great work happening at Treasure Data, check out the website www.treasuredata.com or follow them on LinkedIn, Instagram or Twitter @treasuredata. You can also connect with Dilyan directly on LinkedIn.

What did you think of Dilyan’s podcast? Where do you see the future of AI and Data Science in the sales & marketing sector heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: 

     

Welcome to episode 423 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Dilyan Kovachev, Director of Machine Learning and Analytics at Treasure Data. Founded in 2011, Treasure Data was built to radically simplify customer data management and help brands use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Treasure Data helps hundreds of Fortune 500 and Global 2000 customers – including some of the world’s most recognizable brands – generate new data opportunities.

Customer Data Cloud, their award-winning suite of customer data platform solutions, integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales and retention. This flexible, scalable and secure platform has a comprehensive connector network that evolves with  existing technology stack to future-proof all customer data initiatives.

In the episode, Dilyan will discuss:

Treasure Data’s work within customer data

Use cases of their focus in marketing, sales & service

An insight into the ML and Data Science team

The journey of building his team from scratch

Plans for growth and the roadmap for the near future

What makes Treasure Data a great place to work

To find out more about all the great work happening at Treasure Data, check out the website www.treasuredata.com or follow them on LinkedIn, Instagram or Twitter @treasuredata. You can also connect with Dilyan directly on LinkedIn.

What did you think of Dilyan’s podcast? Where do you see the future of AI and Data Science in the sales & marketing sector heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: 

     

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