Data Analytics Chat Ben Parker

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This episode explores the impact of data science and AI in the railway industry. 
 
Olga Spackova joins the podcast, a Data Science Team Lead at a startup organisation based in Germany.  
 
We discuss how AI is utilised in the railway industry, looking into machine learning techniques and Generative AI. The discussion also explores AI's challenges and benefits in the rail sector.
 
The episode concludes with insights into measuring the impact of AI solutions on the railway industry and discussing future trends. 

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This episode explores the challenges and importance of data monetization in the analytics industry. 
 
Gareth Farr joins the podcast, data science and AI Team Lead at a major European Bank. 
 
He shares insights on demonstrating the value of data monetization, strategies, identifying opportunities within data, key components of a successful data monetization strategy, and common challenges businesses face in monetizing their data. 
 
The conversation also explores ways businesses can ensure their data offerings provide real value to customers, emerging trends in data monetization, and measuring the success of data monetization efforts.

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In this episode, we explore the challenges and importance of data monetization in the analytics industry. 
 
Gareth Farr joins the podcast, a data science and AI Team Lead at a major European Bank. 
 
He shares insights on demonstrating the value of data monetization, strategies, identifying opportunities within data, key components of a successful data monetization strategy, and common challenges businesses face in monetizing their data. 
 
The conversation also explores into ways businesses can ensure their data offerings provide real value to customers, emerging trends in data monetization, and measuring the success of data monetization efforts.

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In this episode, we discuss the evolving landscape of data analytics, focusing on MLOps.
 
Alexander Machado, Head of Trustworthy AI, joins us in this discussion. Alex and I explore the essential role of MLOps in ensuring successful project deployment and performance.
 
We share insights on MLOps and their importance for businesses. We explore the common risks and challenges that businesses face. We touch on scalability and other important factors such as aligning with strategic goals, stakeholder buy-in, and complying with regulations like the European AI Act.


- Enterprise guide to ML: https://appliedaiinitiative.notion.site/The-enterprise-guide-to-ML-a389dbdf244143f7a690b4e1980444f4


- ML Skill Profiles whitepaper: https://www.appliedai.de/en/insights/ml-skill-profiles

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In this episode, we will take a deep dive into the world of user experience and the growing impact AI has in this space.
 
Bryce Macher joins us, a leader in  AI focusing on personalization & recommendation science. Bryce and I touch on topics such as how AI is impacting user experience, the importance of accessibility, and the role of data in shaping AI-driven user experiences and touching on how ethics in AI applications can be addressed. 
 


The discussion also included the challenges of integrating AI effectively into UX, and the potential future landscapes of user experience with continued developments in AI. 

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In this episode, we explore the world of data transformation and its significance for businesses in today’s rapidly changing digital landscape.
 
Joining us is Roberto Ramirez Pinson, a leader in global transformation. Roberto and I thoroughly discuss the challenges that come with the evolving field of data analytics and why data transformation is crucial for organisations looking to gain a competitive advantage in the market. The discussion also covers the cultural component of data transformation, the role of effective communication, and the need to balance stakeholders' expectations.