DataFramed

Dan Coates, President and co-founder of YPulse, brings over 30 years of expertise in marketing and technology to the discussion. He reveals how AI chatbots are reshaping market research by enhancing data engagement and streamlining insight extraction. The conversation highlights the 120-day journey of developing an AI application, addressing challenges in accuracy and user trust. Coates also explains how AI can unlock hidden insights tailored for Gen Z, transforming industries that adapt to these emerging preferences.

Deepak Goyal, Founder & CEO of Azurelib Academy, is a leading expert in Cloud Data Engineering and AI with over 17 years of experience. In this engaging discussion, he dives into essential skills for data engineers such as Python and SQL, the importance of soft skills, and effective strategies for career advancement. Deepak also shares insights on navigating the hiring landscape, including interview tips and negotiation tactics. He emphasizes the need for continuous learning and offers practical advice for balancing work and education in a fast-evolving tech world.

Abhijit Bhaduri, a brand evangelist and former General Manager of Global L&D at Microsoft, discusses essential skills for data professionals. He emphasizes the need for adaptability in modern careers, drawing parallels between career paths and ice cream flavors. Abhijit advocates for continuous learning and the power of storytelling, using Pixar's framework to engage audiences. He explores the importance of personal branding and curiosity, stressing how diverse experiences can enhance professional success and innovation.

In this engaging discussion, Faisal Hoque, founder and CEO of SHADOKA, delves into the complexities of integrating AI into our lives. He highlights the need for AI to enhance, not replace, human creativity and decision-making. Faisal argues for a partnership approach between humans and AI to ensure technology serves meaningful purposes. He also addresses the importance of critical thinking and adaptability in an era of rapid technological change, advocating for responsible AI governance to navigate the societal challenges of automation.

Phillip Paraguya, Chapter Lead for Data Science at ALDI DX, shares his expertise in A/B testing within physical retail environments. He delves into the unique challenges of balancing statistical rigor with the practicalities of store operations. The discussion highlights strategies for engaging stakeholders, overcoming skepticism in data science, and the evolving role of data scientists. Phillip also emphasizes the importance of effective data storytelling and the impact of AI on coding workflows, reflecting on how these elements shape the future of retail experimentation.

Alon Peleg, COO at aiOla, has over two decades in tech leadership, while Gill Hetz, VP of Research, specializes in data integration and modeling. They dive into the evolution and ethical implications of speech AI, discussing its transformative impact across industries like education and retail. The duo addresses the challenges of language nuances, voice technology in hands-free environments, and the need for specialized models to enhance accuracy. They also explore how speech AI can revolutionize task reporting in sectors like pharmaceuticals.

Uthman Ali, the Global Head of Responsible AI at BP, is an AI ethics expert and former human rights lawyer. In this discussion, he highlights the urgent need for responsible AI literacy within organizations amid increasing generative AI usage and regulatory pressures like the EU AI Act. Uthman outlines strategies for effective employee upskilling and the importance of embedding ethical principles into corporate culture. He also dives into the balance between compliance and innovation, stressing the necessity of monitoring AI usage to promote trust while addressing potential risks.

In this engaging discussion, Vanessa Larco, a former partner at NEA with an impressive background in product leadership from giants like Microsoft and Disney, shares her insights on A/B testing. She explores the challenges of balancing short-term gains with long-term user experience, particularly in gaming. Vanessa also highlights the pitfalls of misaligned metrics and the need for clear communication and cross-team collaboration. Her anecdotes underline the importance of understanding user behavior and leveraging data to drive meaningful changes in product development.

Andrew Reiskind, Chief Data Officer at Mastercard, shares insights on how generative AI is revolutionizing the financial sector. He discusses the democratization of AI tools and their potential for enhancing personalization and fraud detection. The conversation delves into the importance of data quality and governance amidst AI's rise, addressing both benefits and ethical concerns. Reiskind emphasizes building trust and agility in finance while navigating regulatory challenges, illustrating AI's transformative potential like past technological shifts.

Madelaine Daianu, Head of Data & AI at Credit Karma, dives into the fascinating world of generative AI applications in personal finance. With a background at Facebook and Intuit, she discusses how smaller datasets can drive efficiency and cost savings. The conversation highlights the importance of quality data infrastructure for scaling AI processes, ensuring explainability in fintech, and managing data lineage. Additionally, Madelaine shares insights on fostering collaboration among AI development teams to enhance innovation while maintaining regulatory compliance.