AI Data Readiness Forum [Palo Alto]

​Are you ready to transform your organization’s AI potential?

Join MLtwist and Vectara for the AI Data Readiness Forum, an exclusive in-person event that cuts through the complexity of generative AI data preparation. In just one focused session, you’ll discover the critical strategies top companies are using to build robust, AI-ready data infrastructures that drive real business innovation.

​Learn how to:

• ​Develop cutting-edge data pipelines

• ​Overcome enterprise data management challenges and RAG sprawl

• ​Implement AI solutions that truly scale

​Join us on Thursday, April 24 in Palo Alto to get the blueprint for turning your data into competitive advantage!

​Limited seats available - Register now!

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​​​Speakers include:

​Cedric Vidal is a Principal AI Advocate at Microsoft, specializing in Generative AI 🤖, and the startup 🚀 and research 🔬 ecosystems. He is dedicated to promoting AI in startups and facilitating the transition of research and startup products to the market. Before his current role, Cedric spent 4 years as an Engineering Manager in the AI data labeling space for the self-driving 🚕 industry at Argo AI (now re-spawned as Latitude AI). He also served as the CTO of the Fintech AI SAAS startup Quicksign and worked as a software engineering services consultant for major Fintech enterprises for 10 years.

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​Eileen Filmus leads the Trust organization at unicorn fintech Brex, where she oversees Governance Risk & Compliance, Security Engineering, and Product Security, each of these functions working in lockstep to instill trust in the company from customers, regulators, auditors, partners, and employees. Her background includes counter-terrorism research, geopolitical intelligence, compliance auditing, and technology risk management experience across a diverse range of sectors and maturities. Prior to Brex, she founded the Geo-Cyber division at the consulting firm VerSprite-- the first of its kind in the industry. The group assessed how political, economic, social, cultural, and regulatory factors serve as drivers of threats and opportunities to companies' financial, operational, and reputational health. Top of mind for Eileen's teams today is operationalizing AI Governance, namely how to hit the right risk appetite balance between taking full advantage of the opportunities afforded to us by these new applications and maintaining the right guardrails to protect users.

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​Ravi Shankar is a Manager of Machine Learning at Overstock, where he leads machine learning and AI initiatives across multiple e-commerce platforms. With over 10 years of experience in applied AI and analytics, Ravi has helped scale data-driven decision-making and personalized customer experiences. He is passionate about building impactful products using responsible AI.

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​Sai Kumar Arava leads AI implementations at Adobe, driving AI-powered task automation and intelligent workflows for hundreds of large enterprises. With over 12 years of experience in AI, machine learning, and large-scale software engineering, he has led multiple teams in developing generative AI products, intelligent assistants, and real-time ML systems at Adobe and PayPal. Sai is the author of the book Building with LLM Agents: A Comprehensive Guide and has published research in top machine learning conferences. He holds multiple patents in deep learning and AI applications and actively shares his expertise through teaching on platforms like O’Reilly and Packt. Passionate about advancing AI, Sai brings deep insights from building intelligent automation solutions for Fortune 500 enterprises.

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​Piyush Lakhawat is a Senior Member of Technical Staff at Salesforce, where he leads Generative AI projects particularly in the areas of Trust, Safety and Explainability. Prior to this he led the efforts to automate global E2E Supply Chain planning at Western Digital using AI and ML research and engineering. He has also worked at the audio startup TuneIn helping scale their ads and subscription business using data and ML solutions for over 75M users. He hold a PhD in Computer Engineering from Iowa State University, and is passionate about solving engineering problems using modern AI approaches. 

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​Karin Golde is Chief Data Officer at GraphIQ, a knowledge-graph-powered search platform designed to help businesses drive growth. She holds a PhD in Linguistics and has deep expertise developing AI-powered applications at companies like NetBase Quid, where she built the data science team delivering internet-scale market intelligence. More recently she led the language engineering team at Amazon Web Services, overseeing training data strategy for large language models.

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​Anurag Awasthi is a seasoned Tech Lead and Engineering Manager specializing in AI infrastructure, cloud computing, and machine learning. At Google, he leads AI governance and compliance for Gemini models, ensuring legal compliance while managing authoritative inventories for AI assets, security, and risk mitigations. Previously at Twitter, he drove innovations to build early commerce capabilities on social media. An IIT Kanpur alumnus, he is also a published author and former successful entrepreneur, dedicated to transformative technological solutions.

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​​Before founding MLtwist, David Smith held leadership roles at Google, Oracle, Neustar, DoubleClick, and has been through 4 acquisitions. He is focused on enabling strategic data for AI and has launched first of kind data partnerships with companies like Oracle, Google, JD Power, Twitter. David holds a Bachelor of Science in Computer Science and Engineering from UC Davis.

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​Donna Dong is a seasoned product management leader with over a decade of experience building and scaling AI-powered products. At Apple, she led initiatives on Siri, focusing on the quality and evaluation of AI models across 43 languages. Before that, she worked on iCloud services tailored for users in mainland China, navigating complex technical and regulatory landscapes.
She currently applies her AI and product expertise at Vectara, a company developing enterprise RAG solutions.  Donna is passionate about advancing the responsible use of artificial intelligence at global scale.

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​Ofer Mendelevitch leads developer relations at Vectara. He has extensive hands-on experience in machine learning, data science and big data systems across multiple industries, and has focused on developing products using large language models since 2019. Prior to Vectara he built and led data science teams at Syntegra, Helix, Lendup, Hortonworks and Yahoo! Ofer holds a B.Sc. in computer science from Technion and M.Sc. in EE from Tel Aviv university, and is the author of "Practical data science with Hadoop" (Addison Wesley), and of the upcoming "Hands-on RAG for production" (O'Reilly).

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​Audrey Smith is Chief Data Officer at MLtwist, a platform that generates automated AI Data Pipelines at the click of a button. She has led AI data operations for the past 8 years at companies like Google, Amazon and Labelbox. Audrey has deployed hundreds of solutions across text, image, audio, and video across a dozen verticals. She also co-launched the Data Ops for AI community with over 400 professionals, and mentors within the AI data operations industry.