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Three decades across Europe, the US, and Brazil taught me one lesson: AI value is won in execution — clear scope, reliable multi-agent workflows, and governance that survives production.
I teach that discipline on Maven (Become an Agentic Architect, live workshops, Lightning Lessons, resources) through my AI-Assisted Multi Agent Development (AAMAD) Framework. I also work as a Fractional Chief AI Officer with teams that need embedded judgment, not generic advice — plus O’Reilly live sessions and Pearson certification-aligned programs.
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30+ years in technology leadership across Europe, Silicon Valley, and Brazil
Product leadership at Cisco (12 years) and innovation leadership at Claro Brasil (8 years)
AI education and certification SME with Pearson; contributor in O’Reilly learning ecosystem
Founder and AI strategy advisor helping organizations implement production-oriented agentic workflows
Built enterprise AI squads and delivery frameworks adopted in real client environments
Education & Expertise
MSEE Telecommunications, Politecnico di Torino
Data Scientist Professional, Datacamp
Human-Centered Service Design , IDEO
Several GenAI courses, Deeplearning.ai
After 3 decades working across Europe, the US, and Brazil, I’ve had the chance to see how organizations evolve—and sometimes struggle—when faced with technological change. What fascinates me most today is how AI isn’t just reshaping tools, but the very logic of how we work, decide, and create value.
I approach AI as a living system: a way to uncover patterns, reveal hidden connections, and rethink the foundations of business strategy. My goal is to make this complexity accessible—helping others not just understand AI, but use it to design smarter, more adaptive organizations.
I teach from experience, but also from curiosity. Every session is an opportunity to explore how intelligence—human and artificial—can work together to shape better decisions, stronger teams, and more resilient futures.
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Recognized as one of the most prominent voices in enterprise AI, with over 90,000 professionals following her on LinkedIn, she is a sought-after thought leader frequently invited to speak at leading conferences and events, including TEDx, MLOps World, and ReWork.
Aishwarya actively collaborates with leading research professors and provides strategic advisory to organizations, enabling them to harness AI effectively to address complex business challenges.
", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/e7Fezk6RR2wQxwR3XMS4_aish.png"}, {"name": "Kiriti Badam", "uuid": "d3f85fda-6efb-4717-a0bc-d9e12f067532", "title": "Founding Engineer @ Kumo.ai | Ex-Google", "bio_html": "With over a decade of experience designing high-impact and transformative enterprise AI systems, Kiriti Badam is a seasoned expert in AI-centric infrastructure, specializing in large-scale compute, data engineering, and storage systems. At Kumo.ai, a Forbes AI 50 startup, he leads the development of infrastructure capable of training hundreds of models daily, driving significant ARR growth for enterprises.
Kiriti brings a unique blend of startup agility and large-scale enterprise expertise, having worked across companies of varying sizes, including Kumo.ai, Google, Samsung, and Databricks. At Google Ads, he developed globally distributed key-value stores that powered advertising systems generating XX billion dollars in annual revenue.
Kiriti holds a Master’s degree from Carnegie Mellon University and a Bachelor’s degree from IIT Madras, where his research focused on cutting-edge storage systems and distributed databases for AI workloads. A trusted advisor and mentor, he guides startups and organizations in building impactful AI infrastructure, achieving product-market fit, and crafting robust product development strategies.