Data Analytics Chat

In this episode of Data Analytics Chat, we explore the transformative impact of data analytics and AI in the fintech sector, particularly focusing on startups and maturing businesses. Manil Manohar, Head of Data at Ratepay, a FinTech organisation based in Berlin, joins us.We discuss many topics, including advancements in AI and analytics, customer experience personalisation, fraud detection, risk assessment, and the operational efficiencies of AI technologies. 00:00 Introduction to Today's Topic: Fintech and Analytics00:31 Meet the Expert: Manil Manohar from Ratepay00:56 The Role of Data in Decision Making03:27 AI's Impact on the Fintech Industry07:11 Leveraging Analytics for Market Opportunities08:58 The Future of Crypto in Fintech10:27 AI in Business Operations and Decision-Making13:12 Challenges and Opportunities in AI Adoption25:00 AI for Customer Experience and Fraud Detection34:16 Optimising Operations and Reducing Costs with AI36:26 Balancing AI Power with Data Privacy38:03 Emerging Trends and Future Predictions in Fintech42:27 Conclusion and Final ThoughtsThank you for listening!

In this episode of Data Analytics Chat, we discuss the impact of AI on clinical research. Ben Gmeiner, Director of Medical Data Strategy and Science at Novartis, a global pharmaceutical organisation, joins us. We discuss AI's massive potential to revolutionise healthcare, enhance precision medicine, and improve clinical trials. Ben highlights the importance of integrating AI smoothly into existing workflows, ensuring data privacy, and overcoming regulatory challenges. We explore how AI can boost patient engagement and trial adherence and overcome the biggest barriers.00:00 Introduction to Data Analytics Chat00:30 Meet Ben Gmeiner, Director of Medical Data Strategy at Novartis01:51 The Explosion of Health Data02:45 AI's Transformative Impact on Clinical Research04:13 Advancements in Clinical Trials with AI10:23 Leveraging Health Data for AI Solutions14:31 Challenges in AI Adoption in Healthcare25:56 Regulatory Environment and AI Integration31:39 Improving Patient Engagement with AI34:04 Conclusion and Final ThoughtsThank you for listening!

In this episode of Data Analytics Chat, we discuss building a data team from scratch.Spriha Gogia, Senior Director of Data at Ophelia, a US healthcare organisation, joins us. As businesses strive to become data-driven to leverage insights, establishing a strong team is essential to being equipped to respond to market changes. We cover crucial topics such as identifying talent, establishing a data-driven culture, handling challenges, and aligning data team goals with overall business objectives, plus much more. Gain insights into forming a cohesive and effective data team in today's fast-paced business environment.00:00 Introduction to Data Analytics Chat00:27 Building a Data Team from Scratch01:04 Guest Introduction: Spriha Gogia02:05 Spriha's Journey into Data and Healthcare03:18 Key Factors in Building a Data Team05:50 Challenges and Solutions in Data Team Building07:24 Hiring Strategies for Startups13:30 Aligning Data Teams with Business Goals27:42 Technology Tools for Data Teams34:10 Measuring Success of Data Teams37:40 Advice for Data Leaders40:31 Conclusion and Final ThoughtsThank you for listening!

In this episode of Data Analytics Chat, we discuss the impact of AI and ML on Investment Firms.Limor Gultchin, VP of AI/ ML at Berkshire Partner, a Boston based Investment company, joins us. This field has had a magical influence across industries and here we explore the profound impact on the investment industry. We cover a range of topics, including current trends, disruptive technologies, and the transformative potential of large language models. Learn best practices for AI adoption and common pitfalls and strategies for staying ahead in this rapidly evolving field. 00:00 Welcome and Introduction00:19 Guest Introduction: Limor Gultchin01:16 Limor's Journey in AI and ML03:13 The Impact of LLMs and AI in Business05:37 Challenges and Opportunities with AI08:10 Market Research and Trend Analysis12:29 Leveraging AI for Innovation and Growth19:45 Supporting Portfolio Companies with AI23:19 Hands-On AI Development and Partnerships25:02 The Role of NLP in Market Research27:51 Key Lessons for AI Integration in Portfolio Companies34:34 Challenges in Adopting AI Technologies40:21 Common Misconceptions About AI43:44 Importance of Data Quality and Governance47:36 Staying Updated with AI Advancements49:43 Conclusion and Final ThoughtsThank you for listening!