There are some problems that just cannot be solved without the help of AI.

Like the one that we are discussing in today’s episode: Call Centers Monitoring and Optimization.

The problem is simple: 

Answering those simple questions in a traditional fashion would require some people from your company listening to hundreds of thousands of hours of conversation. It’s just crazy,  for anybody.

But there is a better solution.

In this episode of the AI and Digital Transformation Podcast, we are joined by Swati Sharma, lead data scientist at Brillio. We discuss how their AI solution, named Call Center Actionable Insights, solves this hard problem.

Who is Swati Sharma?

Swati Sharma earned her doctorate degree in electrical engineering and specialized on quantum physics and signal processing. She then pivoted her career to become a data scientist, with a strong analytical foundation. With over 15 years experience under her belt, she now leads Brillio’s data science team, engages with their stakeholders regarding their customized ML/NLP solutions, and teaches comprehensive post-graduate machine learning courses on the weekends.

We talk about speech to text, events modeling, root cause analysis insights and more. We will also go through some of the critical issues that need to be addressed for a successful deployment of a AI enabled  Customer Assistance monitoring and optimization solution.

Listen to this episode and find out how to make your customers happier and your business more profitable thanks to AI.

Check out our show notes to know more about Swati and Brillio.

Chapters:

[0:01:51] Introducing Swati and Brillio

[0:05:41] The love for Data Science

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Music credits: storyblocks.com

Logo credits: ⁠⁠⁠Joshua Coleman, Unsplash⁠

How do you use AI to increase customer retention while lowering marketing costs?

In this episode of the AI and Digital Transformation podcast with our guest Virginie Marelli, Head of research at dataroots, we will discuss how to use churn prediction to identify the customers who most likely to leave your business and how to make them stay.

Tune in to find out how to add AI and churn prediction to your marketing strategy!

Who is Virginie Marelli?

She started out her career at ING when AI was still called data science and big data. Thanks to self-learning and her inquisitive nature to solve problems with data, she jumped at the opportunity to join the Leuven-based AI startup dataroots in 2017.as a machine learning engineer. 

When dataroots grew from start up to scale up, her role in the company evolved, as she became its tech lead in AI.

As of 2022, Virginie heads dataroots Research, the umbrella for all R&D projects and (open source) knowledge sharing initiatives. Also in  2022, she was one of the inspiring 50 in Deep Tech Benelux.

Check out our show notes to know more about Virginie.

Chapters

[00:00:00] Introduction of our Guest Virginie Marelli

[00:03:01] The importance of a Mathematical education in AI

[00:07:01:] What is churn prediction?

[00:10:13:15] The target of churn prediction

[00:13:10:15] How is success estimated for a churn prediction model

[00:14:31] How much data so you need?

[00:17:32] How do you monitor the performance of the model in production?

[00:22:17:15] The importance of ML operations for reliable model performance

[00:34:20] Churn prediction and A/B testing

[00:36:50:15] The importance of explainability for a successful ML solution

[00:42:50] Data privacy

[00:46:52:15] How to choose a good A.I. solution provider

[00:51:41] Virginie’s book recommendation

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Music credits: storyblocks.com

Logo credits: ⁠⁠Joshua Coleman, Unsplash

What does it take to create a successful AI project using satellite and drone images?

Welcome to the AI and Digital Transformation Podcast by G.M.S.C. Consulting.

Join us every month as we sit down with A.I. professionals around the world and discuss successful use cases related to A.I. and its digital transformation applications.

Our guest in this show is Ivan Tankoyeu, AI Solutions Architect and co-founder of AI Superior. 

Who is Ivan Tankoyeu?

Having worked in the industry and the academia for over 10 years, he is now solving practical problems using personalized AI solutions. With AI Superior, they work on machine learning, data science, and software development projects for various industries. 

In this episode, we focused our attention to one of Ivan’s favorite projects - aerial imaging analysis using satellites and drones. 

What did we talk about?

Together with AI, Ivan and his team were able to deal with a wide range of applications. To name a few are trash detection in coastal zones, risk evaluation for residential properties, estimating economic activities in harbors, precision agriculture, and forestry management. 

In this podcast, we explored in great detail the technical aspects of developing these AI projects, as well as its main challenges concerning data collection and labeling. This also meant that we talk about data accuracy, quality assurance, data privacy and GDPR compliance, and flying regulations, to name a few.

Listen NOW to our podcast as we share with you knowledge that you need to consider before working on an AI project that involves satellite and drone imagery. 

Check out our show notes to know more about Ivan and AI Superior.

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Music credits: storyblocks.com

Logo credits: ⁠Joshua Coleman, Unsplash

Is it possible to build an app that helps students prepare for exams?

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Hi, we’re Gabriele and Angelique. Welcome to the AI and Digital Transformation Podcast!

Here at G.M.S.C. Consulting, we sit down with A.I. professionals around the world and discuss successful use cases related to A.I. and its digital transformation applications.

Join us every month as we provide you with lessons learned on how you can integrate A.I. and digital transformation solutions into your company’s system.

Stop feeling left behind as we show how A.I. can be a useful and practical tool to implement digital transformation solutions in companies of any size and scope.

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This month we’d like to share our conversation with Adebayo Awofuye, an A.I. practitioner, and educator from Nigeria.

In recent years, we witnessed the educational gap growing in many countries as the pandemic disrupted the way we taught our kids.

A.I. tools proved to be effective at helping students pass exams and do remote schoolwork.

While these tools are far from perfect, we cannot deny the potential of using A.I. to improve the existing educational system.

Adebayo shares with us the story behind Blueberry, an A.I. tutor platform he built with his team in his previous job at Steamledge Limited.

We discuss its potential and limitations and how different it is compared to other Natural Language Processing tools like the recently famous ChatGTP and chatbots. During this episode, we explore the importance of customer research, the ethical risk of cheating, and what are other possible scenarios, different from teaching, in which we could apply a technology like Blueberry virtual tutor.

If you find this episode useful, follow us on your favorite podcast streaming platform and share it with your friends and colleagues.

***We apologize in advance for the imperfect audio as we had some electronic noise during the interview.***

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Check out our show notes to learn more about Adebayo.

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Music credits: storyblocks.com

Logo credits: Joshua Coleman, Unsplash