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Subject: Managing AI/ML in the Cloud (CloudX) clear filter
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Thursday, September 4
 

9:30am PDT

PRO Session (CloudX): From Chaos to Control: Operationalizing ML Workflows in the Cloud with MLOps and GenAI
Thursday September 4, 2025 9:30am - 9:55am PDT
Aditi Jain, Amazon SDE
Bhavani Sankar Telaprolu, Google, Software Engineer


As AI/ML adoption accelerates across industries, many teams face critical challenges in bringing models from prototype to production—especially in cloud environments. This session explores how MLOps practices, automation, and cloud-native tools can streamline the deployment and monitoring of both traditional ML and emerging GenAI models. Attendees will learn how to structure ML pipelines, manage data and model versioning, implement CI/CD for ML, and optimize cloud costs, all while ensuring reproducibility and governance. Drawing on real-world experiences, this talk offers actionable insights for making ML systems robust, scalable, and production-ready in the cloud.  
Speakers
avatar for Aditi Jain

Aditi Jain

SDE, Amazon
As an experienced software developer and AI specialist, I've dedicated my career to implementing cutting-edge technologies across various platforms. My journey, spanning both industry and academia, has given me a unique perspective on the challenges and opportunities of deploying... Read More →
avatar for Bhavani Sankar Telaprolu

Bhavani Sankar Telaprolu

Software Engineer, Google
Bhavani Sankar Telaprolu is a seasoned Cloud and AI Solutions Architect with over 5 years of experience designing and deploying scalable machine learning systems in the cloud. He specializes in MLOps, cloud-native architecture, and productionizing generative AI models. Bhavani has... Read More →
Thursday September 4, 2025 9:30am - 9:55am PDT
CloudX -- Main Stage

1:30pm PDT

PRO Session (CloudX): AI Data Center in a Box: The Future of Edge Computing
Thursday September 4, 2025 1:30pm - 1:55pm PDT
Venkat Maddali, Medallia, Global Head - SRE

Data is growing at an unprecedented pace. Every transaction generates data, and with AI, this growth is accelerating. AI-driven automation introduces additional transactions, creating more data. As humans become more inquisitive about AI's operations, we add even more data through observability, logs, controls, and guardrails. Everything we do contributes to this data explosion.

This growth welcomes a new problem: The Challenge of AI and Data Ownership

The Challenge of AI and Data Ownership

Traditional solutions rely on commodity storage to handle data growth. However, AI is forcing industries to rethink data ownership. Many customers want to leverage AI but do not want to send their data to a hosted cloud, whether public, private, or hybrid. The question is: how do we enable AI while keeping data within a customer's control?

AI Data Center in a Box

The answer lies in AI-powered data centers in a box. This is not just a rack of servers but a compact, turnkey solution designed for edge computing. The key components of this AI-driven edge solution include:

Modular design to balance power, compute, networking, and security
Pluggable LLMs (Large Language Models) for customized AI processing
Integrated storage to handle large datasets efficiently
On-demand AI processing to enable offline and secure computations
Kill switch for ultimate control and security
Speakers
avatar for Venkat Maddali

Venkat Maddali

Global Head - SRE, Medallia
At Medallia, (owned by Thoma Bravo), we empower organizations to deliver on their promises and make their customers feel the love! We turn signals into action with the world's leading experience management platform, helping companies around the globe deliver exceptional experiences.In... Read More →
Thursday September 4, 2025 1:30pm - 1:55pm PDT
CloudX -- Main Stage

4:00pm PDT

OPEN Session (CloudX): 25 Minutes to Cloud Advantage: Monetizing Emerging Tech for Rapid ROI
Thursday September 4, 2025 4:00pm - 4:25pm PDT
Matthew Domo, FifthVantage, CEO and Founder

In today's fast-paced market, cloud leaders must rapidly translate emerging technologies into tangible business value. This session delivers a focused 25-minute overview of how AI, IoT, and immersive internet technologies are driving immediate ROI for cloud companies. We'll cut through the technical jargon and focus on actionable strategies for monetization and market leadership.

In this compressed session, you'll gain critical insights into:

Rapid AI Monetization: Identifying high-impact AI applications for immediate revenue growth through service optimization and predictive analytics.
IoT Data as a Profit Center: Building scalable IoT platforms to unlock new revenue streams from data monetization and value-added services.
Immersive Internet: Capturing New Markets: Understanding the business potential of immersive technologies and how to build cloud services that capitalize on this emerging market.
Strategic Edge Computing for Competitive Edge: Quickly assessing how edge computing can enable real-time applications, driving premium service offerings and customer loyalty.
ROI-Driven Cloud Investment: Prioritizing technology investments based on clear ROI projections and rapid time-to-market strategies.
This session will equip executives with the critical insights needed to drive rapid cloud innovation, maximize ROI, and secure a competitive advantage in today's dynamic market—all within 25 minutes.
Speakers
avatar for Matthew Domo

Matthew Domo

CEO and Founder, FifthVantage
Matt, a technology futurist, speaker, and author, aims to turn potential into reality using cutting-edge technology and business models to drive meaningful change. With unique experience working closely with Jeff Bezos and Bill Gates, Matt is a trailblazer in the AI and cloud computing... Read More →
Thursday September 4, 2025 4:00pm - 4:25pm PDT
CloudX -- Main Stage
 

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