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Content provided by Dr Andree Bates and Dr. Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates and Dr. Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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E87 | How to use Artificial Intelligence to convert big data into actionable insights

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Manage episode 407087262 series 3557643
Content provided by Dr Andree Bates and Dr. Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates and Dr. Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of AI For Pharma Growth, Dr Andree Bates is joined by Mike Kalfus from Graphene AI.

Mike discusses his background in data-driven marketing and how he came to work at Graphene AI. He explains how Graphene AI uses natural language processing and machine learning to analyse conversations from a variety of data sources to provide pharmaceutical companies actionable insights. Mike details how Graphene AI can help answer specific questions from pharma clients, such as analysing market landscapes, tracking sentiment changes, and monitoring the impact of new messaging.

In this episode you will learn:

  • What led Mike to his career in data-driven marketing and working at Graphene AI
  • How Graphene AI analyses conversations to provide insights
  • The types of data sources Graphene AI uses
  • How Graphene AI helps answer pharmaceutical clients' questions
  • What languages Graphene AI provides insights in for global teams

To find out more about Graphene AI, head to their website: https://graphenesvc.com/

Click to connect with Dr. Andree Bates for more information in this episode: https://eularis.com/

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business.

This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Resources:

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

126 episodes

Artwork
iconShare
 
Manage episode 407087262 series 3557643
Content provided by Dr Andree Bates and Dr. Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates and Dr. Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of AI For Pharma Growth, Dr Andree Bates is joined by Mike Kalfus from Graphene AI.

Mike discusses his background in data-driven marketing and how he came to work at Graphene AI. He explains how Graphene AI uses natural language processing and machine learning to analyse conversations from a variety of data sources to provide pharmaceutical companies actionable insights. Mike details how Graphene AI can help answer specific questions from pharma clients, such as analysing market landscapes, tracking sentiment changes, and monitoring the impact of new messaging.

In this episode you will learn:

  • What led Mike to his career in data-driven marketing and working at Graphene AI
  • How Graphene AI analyses conversations to provide insights
  • The types of data sources Graphene AI uses
  • How Graphene AI helps answer pharmaceutical clients' questions
  • What languages Graphene AI provides insights in for global teams

To find out more about Graphene AI, head to their website: https://graphenesvc.com/

Click to connect with Dr. Andree Bates for more information in this episode: https://eularis.com/

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business.

This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Resources:

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

126 episodes

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