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AI DevSummit 2025 + DeveloperWeek Leadership 2025
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Wednesday, June 4
 

9:30am PDT

[Virtual] OPEN Session: The Rise of Small Language Models: Unlocking Efficient & Secure AI
Wednesday June 4, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
Shrinath Thube, IBM, Software Developer
Vaibhav Tupe, Equinix, Technology Lead

As AI adoption grows, the need for efficient, cost-effective, and privacy-conscious solutions has never been greater. Small Language Models (SLMs) are emerging as a powerful alternative to resource-intensive Large Language Models (LLMs), addressing challenges like high computational costs, latency, and environmental impact while also enhancing security and compliance.

This session will explore the evolution of small language models, covering their training, fine-tuning, and deployment for key NLP tasks such as text generation, summarization, and question-answering. We will also examine the security implications of using SLMs, including on-device processing for data privacy, reducing attack surfaces, mitigating prompt injection risks, and ensuring robust model governance. Techniques like model distillation, quantization, and retrieval-augmented generation (RAG) will be discussed in the context of optimizing both performance and security.

Attendees will gain insights into leading open-source models like Mistral, Gemma, Phi, and IBM Granite, learning how to harness them for real-world applications while implementing best practices for AI security and compliance. We will also discuss strategies for integrating SLMs into enterprise environments, edge computing, and secure on-premise AI deployments to achieve scalable, efficient, and trustworthy AI solutions.
Speakers
avatar for Shrinath Thube

Shrinath Thube

Software Developer, IBM
IEEE Senior Member | Software Developer, IBM | Technology Advisory Board MemberShrinath Thube is a Software Developer at IBM with 8+ years of experience in security, cloud, microservices, observability. An IEEE Senior Member, he is part of the IEEE CISOSE 2025 Organizing Committee... Read More →
avatar for Vaibhav Tupe

Vaibhav Tupe

Technology Lead, Equinix
Vaibhav Tupe is a distinguished Technology Advisory Board Member and Engineering Leader specializing in cybersecurity, cloud, and AI-ready data center infrastructure. With over 13 years of experience, he currently serves as a Technology Leader at Equinix USA, where he drives high-performance... Read More →
Wednesday June 4, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

10:00am PDT

[Virtual] OPEN Session: 10 Commandments for Vibe Coding
Wednesday June 4, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Expo Stage
YK Sugi, CS Dojo, Founder

Since the launch of GPT-4, I've spent an intense and insane amount of time coding with AI. In this talk, I’ll distill everything I’ve learned from this into 10 practical rules. I’ll end with a look ahead—what the future holds as we move into the agentic future of coding and software engineering.

1. Thou shalt not rely on it too much if you are a junior.
2. Thou shalt write lots of tests.
3. Thou shalt not exceed 400 lines of code for each file.
4. Thou shalt organize your codebase well.
5. Thou shalt move slow so that you can go fast.
6. Thou shalt make architectural decisions carefully.
7. Thou shalt provide or let AI collect necessary context.
8. Thou shalt keep the provided context to a minimum.
9. Thou shalt break down a large problem into smaller ones.
10. Thou shalt go agentic.
 
Speakers
avatar for YK Sugi

YK Sugi

Founder, CS Dojo
Founder of CS Dojo, a leading programming education platform with over 1.9 million subscribers on YouTube, dedicated to empowering individuals with the skills needed for a successful career in tech. Beyond YouTube, he actively shares insights and tips on coding, AI, and tech career... Read More →
Wednesday June 4, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

11:00am PDT

[Virtual] OPEN Session: Scaling AI Impact: Productizing AI Agents to Optimize Enterprise Operations
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
Ram Venkatesh, Sema4.ai, CTO and Co-Founder

Enterprises are pouring billions into AI, yet most deployments fail to scale beyond pilot projects. Traditional automation tools like RPA and co-pilots fall short when it comes to complex, knowledge-driven tasks—leading to stalled adoption, wasted investment, and missed opportunities for true business transformation. Without a smarter approach, AI initiatives will remain stuck in experimentation mode.

In this session, Ram Venkatesh, CTO and co-founder of Sema4.ai, will reveal how AI agents can bridge the gap between business expertise and cutting-edge technology to unlock real, sustainable enterprise value across industries. Unlike traditional automation, AI agents are adaptable, intelligent, and capable of delivering measurable ROI within weeks without disrupting existing systems. By autonomously managing critical end-to-end workflows such as invoice reconciliation, regulatory compliance, and supply chain optimization, these agents accelerate productivity, reduce time to market, and empower organizations to operate with agility and efficiency.

Drawing on decades of experience in enterprise software, distributed systems, and data management, Ram will cover:

• What is the enterprise opportunity for AI - separating out the myth from reality

• Always be shipping - how to get AI implementations all the way to production

• Real-world use cases from Fortune 1000 companies like Koch and Emerson showcasing AI-driven cost savings, operational efficiency, and faster decision-making.

• Why AI agent architecture must center around business owners while also enabling developers—and how this balance drives successful adoption and scale

For business and AI leaders struggling to move beyond proof-of-concept, this session delivers an urgent, actionable roadmap for getting AI agents into production—driving efficiency, reducing costs, and ensuring AI delivers on its full potential.
Speakers
avatar for Ram Venkatesh

Ram Venkatesh

CTO and Co-Founder, Sema4.ai
Ram Venkatesh is the Chief Technology Officer and co-founder of Sema4.ai. He is responsible for the long-term technology strategy and vision, collaborating closely with the largest customers, engineering, product, and go-to-market functions. With over 25 years of experience in the... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
  AI DevSummit

11:00am PDT

[Virtual] PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, conference chair of the LF AI & Data Foundation, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

11:30am PDT

[Virtual] OPEN Session: Turning AI Vision into Reality: Delivering AI Success with Inceptica
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Expo Stage
Srineha Korugundla, Inceptica, Co-Founder
This session explores how Inceptica helps enterprises turn AI strategy into measurable business outcomes. It will cover the end-to-end journey of delivering intelligent agents—from identifying the right use cases and aligning with business goals to selecting the right technologies and executing with speed and precision. Attendees will gain insights into Inceptica’s proven delivery approach using tools like LangChain, OpenAI, and Milvus, and learn how to design scalable agent-based systems. The session also shares best practices for team enablement, stakeholder alignment, and ensuring that AI investments lead to lasting operational impact and strategic advantage.
Speakers
avatar for Srineha Korugundla

Srineha Korugundla

Co-Founder, Inceptica
Co-Founder at Inceptica, leading AI services for enterprise automation through intelligent agents. Combines strategy, customer success, and solution delivery to build systems using LangChain, OpenAI, Claude, and Milvus. Passionate about harnessing AI to drive efficiency and smarter... Read More →
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

11:30am PDT

[Virtual] PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage
Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.
Speakers
avatar for Jiahui (Sophia) Bai

Jiahui (Sophia) Bai

Data Scientist Lead, Meta
Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

12:00pm PDT

[Virtual Exclusive] OPEN Session: AIOps: The Catalyst That Is Redefining Enterprise Monitoring and Observability
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
VIRTUAL AI DevSummit Expo Stage
Varun Raj, Deloitte, Sr Manager

AI is revolutionizing every aspect of the IT industry with IT operations being the most successful use case of AI where use of AI for Operations (AIOps) has redefined the enterprise monitoring and observability strategy. In this session, I intent to walk the audience through the use of AIOps to redesign end-to-end enterprise monitoring and observability capability. 
Speakers
avatar for Varun Raj

Varun Raj

Sr Manager, Deloitte
With over 18 years of experience across industries, I am an IT executive with global experience in incubating and launching advance and emerging technology based professional services and software solutions. My journey in this high paced and ever evolving endeavor has been with several... Read More →
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:00pm PDT

[Virtual] OPEN Session: From LLM to SLM - How and Where to Use Specialized Language Models
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Expo Stage
Iddo Gino, Datawizz, CEO

LLMs have transformed many applications - putting advanced AI within any developers reach. This unlocked amazing progress - but also introduced a dependency on model providers and ballooning inference costs. This talk will discuss an alternative approach - fine tuning and deploying smaller, specialized language models to cut costs & improve performance. We'll discuss how to identify the right use cases for SLMs, evaluate their performance and deploy them effectively. 
Speakers
avatar for Iddo Gino

Iddo Gino

CEO, Datawizz
Part of Forbes 30 Under 30 list, he's a 2017 Thiel Fellow. Previously, he was a Co-organizer of Hacking Gen Y. Iddo has been programming since he was a kid and continues to contribute to open-source projects. Originally from Haifa, Israel, Iddo is based in San Francisco, CA.
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:30pm PDT

[Virtual] OPEN Session:The Dual Edge of Multimodal AI: Advancing Accessibility While Navigating Bias
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Expo Stage
Naman Goyal , Google Deepmind, Machine Learning Engineer

Multimodal AI systems—capable of processing text, images, audio, and video simultaneously—present transformative opportunities for accessibility while introducing complex challenges related to bias and fairness. This presentation explores this duality through evidence-based analysis of current implementations and future directions.
For individuals with disabilities, multimodal AI creates unprecedented opportunities: visual recognition systems achieve high accuracy for common objects, real-time speech-to-text transcription operates with minimal error rates, and adaptive learning technologies significantly improve information retention for neurodivergent learners. However, these same systems exhibit concerning bias patterns: recruitment algorithms show substantial ranking disparities across demographics, speech recognition error rates vary considerably across accents, and many images containing gender bias can be traced to problematic relationships between visual elements and text annotations.
The presentation outlines a comprehensive framework for responsible development including: inclusive design principles (with evidence that disability consultants identify many more potential accessibility barriers), representative dataset curation (addressing the reality that images in computer vision datasets rarely include people with visible disabilities), rigorous testing methodologies (conventional sampling typically captures very few users with disabilities), and ethical governance considerations (most AI practitioners want clearer accessibility standards).
Through case studies including image description technologies (showing notable accuracy disparities between Western and non-Western cultural contexts), diverse speech recognition (where community-driven data collection reduced error rates for underrepresented accent groups), and emotion recognition systems (with higher error rates for non-Western expressions), the presentation provides practical insights for developing multimodal AI that enhances accessibility without reinforcing existing inequities.


Speakers
avatar for Naman Goyal

Naman Goyal

Machine Learning Engineer, Google Deepmind
Naman Goyal is a distinguished Machine Learning Engineer and Researcher specializing in Large Language Models (LLMs), Computer Vision, Deep Learning, and Multimodal Learning. With a proven track record at leading technology companies including Google DeepMind, NVIDIA, Apple, and innovative... Read More →
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:30pm PDT

[Virtual] PRO Session: Responsibly Advancing AI in Clinical Trials
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Main Stage
Nalini Garg, Deloitte, Senior Manager

As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.

We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.

Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.
Speakers
avatar for Nalini Garg

Nalini Garg

Senior Manager, Deloitte
AI & Data leader with 14+ years of experience. Women in AI California State Ambassador. Talks about #AI in Life Sciences #Building solutions using Gemini #GenAI #Career in tech
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

2:00pm PDT

[Virtual] OPEN Session: Evolving Databricks’ Kubernetes Infrastructure to Scale AI Workloads via Principled Platform Abstrac
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
Sourav Khandelwal, Databricks, Software Engineer

In the age of large-scale AI—where workloads like LLM model serving and Retrieval-Augmented Generation (RAG) demand massive compute capacity on short notice—efficient, reliable, and self-service infrastructure is essential. At Databricks, we faced the challenge of orchestrating a rapidly growing fleet of Kubernetes clusters spanning multiple clouds, regions, and use cases to power AI-driven solutions. The result was a patchwork of manual processes that were both costly in engineering hours and prone to human error.

In this session, you’ll learn how at Databricks, we overcame these challenges by building principled platform abstractions—clean, self-serve interfaces that application teams can use to provision, configure, and manage their Kubernetes clusters in a standardized, automated way. We’ll detail our journey from fragmented workflows to a scalable infrastructure platform that underpins products such as LLM model serving and RAG, allowing for quick, repeatable scale-out of AI-driven workloads.

We’ll also share the hard lessons learned, including the trade-offs between flexibility and uniformity, as well as strategies for ensuring consistent cluster management patterns across diverse environments. By highlighting how these platform abstractions free up engineering resources and streamline high-demand AI use cases, we’ll showcase how this approach accelerates product development cycles while simplifying day-to-day operations.
Speakers
avatar for Sourav Khandelwal

Sourav Khandelwal

Software Engineer, Databricks
I am a seasoned software engineer with over 12 years of experience in designing and managing large-scale platforms in cloud-native environments. At Databricks, I have led and contributed to several innovative projects that have scaled and automated our Kubernetes Compute Platform... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
  AI DevSummit

2:00pm PDT

[Virtual] OPEN Session: The Age of Industrial AI Agents: Opportunities & Challenges
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Expo Stage
Apurv Sibal, Wiley, Author

An AI Agent is an intelligent ‘computer’ system capable of agency, i.e. independent decision making and autonomous action based on contextualized situational awareness using sensing, perception, (causal) world modeling and a nuanced understanding of one's own agency and its impact on the world. Communicative AI agents are set to revolutionize human-machine collaborative systems and workflows whereby humans and agents can engage in natural multimodal communication in the same way as humans do. The agents can operate in a continuum of delegated autonomy modes, offloading data-intensive tasks needing high throughput, invoke backend tools to carry out a series of sophisticated actions, while not compromising human oversight or judgment. While such agents are poised to transform industries as diverse as healthcare and manufacturing, significant challenges remain in creating industrial strength agents that can operate robustly in open-world settings, exhibit both common sense reasoning and formal, domain-specific knowhow, are instructable and conform to human expectations, and communicate with high precision and accuracy backed by domain-specific grounded explanations. Our technical session will draw on Apurv's own experiences, and he will will present and discuss the opportunities and the challenges to creating industrial-strength agents that can provide real-value to the industry and the society at large, in a risk-free and safe fashion. 
Speakers
avatar for Apurv Sibal

Apurv Sibal

Author, Wiley
With a background in machine learning and data science, Apurv has published two books with Wiley and Springer Nature and has 7 years of experience working with AWS, Shorthills, and WorldQuant. He is an open-source contributor to Elastic, Azure, and AWS Data and have co-authored Pybanking... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

2:00pm PDT

[Virtual] PRO Session: How to Think About Multi-Agent Systems
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Main Stage
Kevin Van Gundy, Hypermode, Founder & CEO

We've made AI more complicated than it needs to be.

With buzzwords and obtuse new concepts, we've made it too difficult for the average developer to reason about agentic systems. While we're writing new kinds of programs, they're still programs nonetheless, and the core concepts of a well-architected application still hold. Fundamentally, we're attempting to write better business process automation just at a scale we've never seen before.

In this talk, Kevin will give attendees a simple, non-technical, non-buzzword-filled framework for looking at existing problems within their business and reimagining them as multi-agent systems.

We'll start by breaking down existing workflows into jobs to be done and the data needed to do those jobs. Then, map those into agents and tools. We'll then go over strategies for incrementally implementing these systems that control for output quality.
Speakers
avatar for Kevin Van Gundy

Kevin Van Gundy

Founder & CEO, Hypermode
I’m a technologist and the CEO of Hypermode. I’m originally from a farming community in central California. I’ve spent my career building for developers, data scientists, and engineers. Along the way, I’ve been lucky enough to help grow three unicorn startups over the last... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

3:00pm PDT

[Virtual] OPEN Session: The Road to Use OpenTelemetry for LLM Observability
Wednesday June 4, 2025 3:00pm - 3:25pm PDT
VIRTUAL AI DevSummit Expo Stage
Nir Gazit, Traceloop, CEO

If 2024 is the year of LLMs, then 2025 will be the year Agents. With the rise MCP, A2A and numerous other protocols, the need to monitor and comprehend their behaviors intensifies.

Observability plays a crucial role in this context. It involves the systematic collection and analysis of data to enhance LLM performance, identify and correct biases, troubleshoot issues, and ensure AI systems are both reliable and trustworthy.

In this discussion, we will explore the concept of LLM observability in depth, focusing on how OpenTelemetry can fit into the world of LLM observability . Additionally, we will talk about challenges around modeling of prompts, completions, events, semantic conventions, and basically our path with the llm-sem-conv working group.  
Speakers
avatar for Nir Gazit

Nir Gazit

CEO, Traceloop
CEO @ traceloop; ex-chief architect @ Fiverr, ex-tech lead @ Google; OpenTelemetry contributor
Wednesday June 4, 2025 3:00pm - 3:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

3:30pm PDT

[Virtual] PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 


AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

4:00pm PDT

[Virtual] OPEN Session: AI Cloud Advisor: Applying Domain-Specific Intelligence for Scalable Cloud Optimization
Wednesday June 4, 2025 4:00pm - 4:25pm PDT
VIRTUAL AI DevSummit Expo Stage
Sumit Bhatnagar, Vice President - Software Engineering
Roshan Mahant, LaunchIT Corp, System Architect

This talk will explore the architecture and real-world deployment of AI Cloud Advisor — a custom-trained AI assistant built to optimize multi-cloud environments using Natural Language Processing (NLP), Reinforcement Learning (RL), and Retrieval-Augmented Generation (RAG). Unlike general-purpose models, AI Cloud Advisor is engineered for live, production-ready decision support across AWS, Azure, and GCP. The session will cover the technical challenges and solutions involved in unifying multiple ML paradigms for actionable, contextual insights that have driven up to 69% cloud cost savings and a 50% reduction in troubleshooting time. Ideal for ML engineers and DevOps leaders. 
Speakers
avatar for Sumit Bhatnagar

Sumit Bhatnagar

Creator, AI Cloud Advisor
Sumit Bhatnagar is an experienced engineering leader and AI strategist with 18+ years of experience in building cloud-native systems. He is the creator of AI Cloud Advisor, a real-time AI assistant for optimizing cloud workloads and architectures. Sumit is a member of the Forbes Technology... Read More →
avatar for Roshan Mahant

Roshan Mahant

System Architect, LaunchIT Corp
This talk will explore the architecture and real-world deployment of AI Cloud Advisor — a custom-trained AI assistant built to optimize multi-cloud environments using Natural Language Processing (NLP), Reinforcement Learning (RL), and Retrieval-Augmented Generation (RAG). Unlike... Read More →
Wednesday June 4, 2025 4:00pm - 4:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit
 
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