AI Loves Data Podcast

James Robson works with charities, research institutions, and public-impact teams to help them navigate complex challenges around privacy, accountability, and ethical data use, ensuring that data is not only compliant but genuinely trusted.

We explore how organizations can move beyond “compliance theatre” to build systems that balance privacy, usefulness, and public value — especially when working with sensitive data in high-stakes environments.

Key Highlights:

Responsible Data in Practice: What ethical and lawful data use actually looks like inside organizations.

Beyond Compliance Theatre: Why checkbox compliance fails — and what to do instead.

Data Sharing & Trust: How to safely enable collaboration while protecting sensitive information.

AI & Accountability: How AI is changing the landscape of governance, risk, and decision-making.

Leadership & Decision-Making: Communicating risk and building trust across technical and non-technical teams.

🎧 Tune in to Episode 65 to learn how to build trustworthy data systems and responsible AI practices that stand up in the real world.

Be sure to mark your calendars for the annual ALD NYC on Dec 11, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of finance, banking and insurance: https://ailovesdata.com/newyork/ Use code ALDPODCASTNYC to get 25% off your registration. 

Writer and Host: Anna Anisin
Produced, edited, and mixed by the Formulatedby Team

Joyjit Roy shares his experience leading large-scale initiatives across insurance and eCommerce, including multi-year modernization programs that integrate AI into core enterprise systems.

We explore what it takes to move from legacy platforms to intelligent, scalable systems that can support real-time decisioning, MLOps, and next-generation automation.

Key Highlights:

Enterprise AI Modernization: How to integrate AI/ML into legacy systems while maintaining execution speed, governance, and business alignment.

Cloud-Native Transformation: Lessons from building scalable, event-driven architectures that improve agility, observability, and resilience.

MLOps in Practice: Insights into feature engineering, inference workflows, and operationalizing AI for real-world enterprise use cases.

Agentic AI in the Enterprise: Joyjit’s perspective on how agentic systems can enable adaptive decisioning, contextual workflows, and more intelligent automation at scale.

Leading at Scale: Strategies for aligning large, cross-functional teams across product, architecture, engineering, and business stakeholders.

🎧 Tune in to Episode 65 to hear Joyjit Roy’s insights on bridging strategy, delivery, and AI innovation to drive measurable enterprise impact.

Be sure to mark your calendars for the annual ALD NYC on May 13, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of finance, banking and insurance: https://ailovesdata.com/newyork/

Use code ALDPODCASTNYC to get 25% off your registration

Writer and Host: Anna Anisin
Produced, edited, and mixed by the Formulatedby Team

Key Highlights:

Production-Scale LLMs: Deploying and scaling recommender systems powered by large language models.

AI Infrastructure Challenges: Building reliable, high-performance search and ML platforms at global scale.

MLOps & Model Optimization: Lessons learned from optimizing and monitoring complex AI pipelines.

Future of AI at Scale: Trends in GenAI, multimodal AI, and recommender systems that will shape the industry.

🎧 Tune in to Episode 63 to hear Rahul Raja’s insights on creating scalable, reliable, and cutting-edge AI infrastructure for production-grade systems.

Be sure to mark your calendars for the annual ALD NYC on May 13, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of finance, banking and insurance: https://ailovesdata.com/newyork/ 

Writer and Host: Anna Anisin
Produced, edited, and mixed by the Formulatedby Team

Vaishali shares her experience leading global data teams, partnering with executive leadership, and building strategies that connect cutting-edge technology to real business value. We explore her insights on operationalizing AI, scaling analytics across enterprises, and overcoming challenges in data governance, stakeholder alignment, and innovation adoption.
Key Highlights:
Bridging Tech and Business: How Vaishali connects AI and analytics innovations to organizational strategy and measurable outcomes.
Global Team Leadership: Lessons from managing cross-functional, geographically distributed teams and driving collaboration.
Operational Optimization: Examples of initiatives that reduced operational complexity while improving efficiency.
Scaling Analytics and AI: Best practices for governance, workflow, and embedding AI into enterprise decision-making.
Emerging Trends: Vaishali’s perspective on the next wave of AI, analytics, and enterprise data strategies.
Tune in to Episode 61 to learn how Vaishali Lambe drives data-driven transformation, operational excellence, and AI innovation across global enterprises.
Be sure to mark your calendars for the 10th annual ALD NYC on May 13, where we will focus on GENAI AND INTELLIGENT AGENTS IN THE FINANCE AND BANKING. Join us to hear from experts on how AI is shaping the future of the enterprise. https://www.datascience.salon/new-york/

Writer and Host: Anna Anisin
Produced, edited, and mixed by the Formulatedby Team

Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows.
Key Highlights:
Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multimodal data, and production-level demands.
Model Interpretability & Explainability: Strategies for making complex models understandable and accountable.
Optimizing AI for Real-World Impact: Balancing performance, robustness, and human oversight in AI systems.
Responsible AI Practices: Embedding ethics, fairness, and transparency in machine learning workflows.
🎧 Tune in to Episode 61 to hear Dushyanth Sekhar’s insights on bridging technical innovation with responsible AI practices, and learn how to build AI systems that deliver both accuracy and real-world value.
Be sure to mark your calendars for the 9th annual DSS ATX on Feb 18, where we will focus on GENAI AND INTELLIGENT AGENTS IN THE ENTERPRISE. Join us to hear from experts on how AI is shaping the future of the enterprise. https://www.datascience.salon/austin/
As Data Science Salon celebrates 10 years the community unveils a new brand: AI Loves Data

Writer and Host: Anna Anisin
Produced, edited, and mixed by the Formulatedby Team