AI in Action E112: Anand Ranganathan, Chief AI Officer at Unscrambl

,  | July 29 2020 | JP Valentine

Welcome to episode 112 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 the United States and Europe.

Today’s guest is Anand Ranganathan, Chief AI Officer at Unscrambl. Unscrambl is an Augmented Intelligence company that unlocks data and insights using Machine Learning techniques so that businesses can make better and faster decisions. Their aim is to build AI-driven solutions for enterprises to augment human capabilities in the space of conversational analytics. 

Their core product “qbo” enables business users to have a two-way conversation with their data in natural English language. Unscrambl’s vision is to democratise data discovery and insights consumption to accelerate the way businesses make decisions, and enable secure collaboration within the team to enable users to jointly perform data analysis and insights.

In the show, Anand will tell you about:

The interesting work happening at Unscrambl 

Use cases of their augmented intelligence solution “qbo” 

Bottlenecks they had to overcome to achieve success 

What he loves about his job 

Key skills he looks for when building a successful team 

What the future looks like for Unscrambl 

Challenges they face working with client data 

To find out more about Anand and his work at Unscrambl, check out the website www.unscrambl.com and to find out more about qbo, check it out at www.qbo.ai.  You can also connect with Anand on Linkedin.

What did you make of Anand’s podcast? Where do you see the future of Artificial Intelligence and Machine Learning heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to The Alldus Podcast:

Welcome to episode 112 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 the United States and Europe.

Today’s guest is Anand Ranganathan, Chief AI Officer at Unscrambl. Unscrambl is an Augmented Intelligence company that unlocks data and insights using Machine Learning techniques so that businesses can make better and faster decisions. Their aim is to build AI-driven solutions for enterprises to augment human capabilities in the space of conversational analytics. 

Their core product “qbo” enables business users to have a two-way conversation with their data in natural English language. Unscrambl’s vision is to democratise data discovery and insights consumption to accelerate the way businesses make decisions, and enable secure collaboration within the team to enable users to jointly perform data analysis and insights.

In the show, Anand will tell you about:

The interesting work happening at Unscrambl 

Use cases of their augmented intelligence solution “qbo” 

Bottlenecks they had to overcome to achieve success 

What he loves about his job 

Key skills he looks for when building a successful team 

What the future looks like for Unscrambl 

Challenges they face working with client data 

To find out more about Anand and his work at Unscrambl, check out the website www.unscrambl.com and to find out more about qbo, check it out at www.qbo.ai.  You can also connect with Anand on Linkedin.

What did you make of Anand’s podcast? Where do you see the future of Artificial Intelligence and Machine Learning heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to The Alldus Podcast:

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