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https://www.sabiasque.net/lgxmc4fdhp Gain exclusive insights in an intimate gathering of 200+ senior data and AI leaders from leading organizations at DSC's ALIGN AI Executive Summits.
Join us in New York City to get up to speed on the latest in AI, network with fellow industry leaders, and engage in thought-provoking discussions about AI's biggest challenges and opportunities.
Secure your spot today by applying below. This is event is highly exclusive and invitation/application-only. Apply now and we'll let you know as soon as possible if you've secured an invite.
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https://variatheater.uk/2024/11/16/h8q5nnm9333 Registration includes in-person access to all summit features including:
go to site – All general sessions, including presentations, and executive panels
https://svrunners.org/t6z7d2mnrwv – Invitation to at least one executive roundtable
Get Xanax Prescription Online – Breakfast, lunch, and networking reception
https://www.sabiasque.net/wrhzg75383 – Exhibit Hall
https://www.birthdayinspire.com/omwgx1o ALIGN AI Summit free passes – for qualified attendees only – are highly limited and 100% free.
go here You Soma overnight no consult fast delivery may qualify if you meet all 3 criteria below:
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2. You work at a non-vendor organization with 5K+ employees
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go After you complete the registration form, we will be back in touch to let you know if you have been selected.
| AGENDA | |
| 9:00 AM | http://thefurrybambinos.com/abandoned/jwpklnyfxo Registration & Breakfast |
| 9:45 AM | https://www.birthdayinspire.com/9jzxunj2f Opening Remarks – The AI Quotient: Are You Ready for the Next Era of Enterprise AI? Liquid Alprazolam Online Presenter: Brian Mink, Co-Founder & President @ Data Science Connect get link The gap between AI ambition and AI reality is widening. In this opening session, we’ll introduce the “AI Quotient”—a practical framework for measuring enterprise readiness across data, infrastructure, talent, and governance. It’s not about hype or potential. It’s about execution. Are you truly positioned to deploy AI at scale, or just piloting forever? |
| 10:05 AM | https://www.datirestaurante.com.br/e4ywn5v3 Panel Discussion – AI-Ready or Risk-Heavy? How to Prepare Your Org for What’s Next in AI https://www.birthdayinspire.com/tg4ytwpf8w Panelists: - Gil Gerstl | VP, Product Development, Chief Data Office @ ADP -Sabrina Chen | Global Head of AML Customer Risk @ Citi - Satyam Singh | AVP Data Management @ Barclays Bank - Graham Wilkinson | Chief Innovation Officer @ Kinesso https://kugellager-leitner.at/vfgymmu AI is no longer optional—but scaling it successfully requires more than just ambition. This panel will explore what it takes to build an organization truly ready for AI, from data and infrastructure to governance, talent, and executive alignment. Hear how leading teams are navigating risk, driving adoption, and preparing for what’s next. |
| 10:50 AM | go site Networking Break |
| 11:20 AM | https://dentalprovidence.com/88rsuyy Executive Roundtable (Invite-Only) – Agentic AI in Action: A New Organizational Paradigm, brought to you by Deloitte https://variatheater.uk/2024/11/16/q6npegwmf Facilitators: - Ambo Bose, Managing Director @ Deloitte Consulting - Aprameya Bhat, Head of AI Products and Services @ Deloitte Consulting source link Navigating the hype with a critical view of its nuances and intricacies, while uncovering the immense possibilities and opportunities. |
| 11:20 AM | https://variatheater.uk/2024/11/16/6lakylnf7v Presentation – Building AI That Works: Real Lessons from Enterprise Applications at Scale https://blog.lakelandarc.org/2024/11/q5tlcuh Presenter: Bonnie Chase, Director Product Marketing @ Vespa.ai https://catschef.com/frc6l0f From personalized search to real-time recommendations, today’s enterprise AI applications demand performance at scale. In this session, we’ll explore how leading organizations are using Vespa.ai to power intelligent, data-driven experiences across domains like e-commerce, finance, and media. You’ll see real-world use cases in action—then go behind the scenes to understand how the Vespa platform enables low-latency, large-scale retrieval, ranking, and inference in production. Whether you're building next-gen AI search or looking to simplify your stack, this talk will show how Vespa helps enterprises turn their data into differentiated value. |
| 11:45 AM | https://catschef.com/yozq3b0wdq Presentation – The Secret Weapon Behind Reliable AI? A Semantic Layer Your Engineers Don’t Have to Build https://www.thelooksee.com/650qjrm7e Presenter: Rajoshi Ghosh, Cofounder / Chief Ecosystem Officer @ Hasura enter site Everyone’s scrambling to bolt GenAI onto their SaaS stack—but most hit the same wall: AI that doesn’t understand your business. The reason? Your data is messy, siloed, constantly changing—and LLMs can’t reason over it without context. That context is the semantic layer. And no, it’s not your warehouse schema. In this talk, the speaker will share: • Why traditional approaches (data modeling, knowledge graphs, manual prompt tuning) are too brittle to scale. • How PromptQL builds an agentic semantic layer (autonomous, self-improving) across APIs, SaaS tools, and internal data—no centralization needed. • Real-world examples of how this powers agents that can handle thousands of edge cases without blowing up in production. If you’re responsible for operationalizing AI at scale, this is the architecture shift that will give you reliability and determine whether your AI systems get adoption—or stay stuck in POC mode. |
| 12:05 PM | https://www.sabiasque.net/m6iihbwyv8 Networking Lunch + Open Bar Begins |
| 1:15 PM | Buying Xanax Executive Roundtable (Invite-Only) – AI’s New Era in Healthcare & Life Sciences: Crossing the Chasm from Pilot to Production and the Role of Search click here Facilitators: - Harini Gopalakrishnan, GTM & Strategy - Health & Lifesciences @ Vespa.ai - Bonnie Chase, Director of Product Marketing @ Vespa.ai https://dentalprovidence.com/2agvuol34l This roundtable discussion will explore how artificial intelligence is moving from experimental applications to truly transformative solutions in healthcare and life sciences. We'll examine business impact, the investment strategy, adoption success, technical approaches, implementation challenges, regulatory considerations, and future visions that center around moving to business value with AI and hear from peers on their journeys. Open forum for brainstorming discussion on building the next generation RAG. And finally we will close with understanding as to why building a RAG is actually building a real Search engine. |
| 1:15 PM | Safest Place To Order Xanax Online Panel Discussion – Next-Gen AI Enablement: What Happens When Everyone Can Build? http://thefurrybambinos.com/abandoned/4byl7di Panelists: - Debu Saha | SVP, Architecture & Engineering @ Citi - Sai Teja Akula | Sr. Director of Data Science @ Broadridge - Mark Zabezhinsky | Director, Portfolio Marketing @ Alteryx - Ravikanth Gadicherla | Director, Supply Chain Analytics @ Mondelez Digital Services https://www.servirbrasil.org.br/2024/11/0h6z9eoc As AI tools become more accessible, everyone—from marketers to product managers—can now build. This expert panel explores how democratized AI is reshaping roles, governance, and innovation across organizations, and what it means for agility, accountability, and the future of intelligent creation. |
| 2:00 PM | https://sidocsa.com/lyrjobp0 Networking Break |
| 2:35 PM | https://kugellager-leitner.at/9ckj6ajpl7 Panel Discussion – AI ROI in Practice: What Leading Enterprises Get Right go here Panelists: - Don Spaulding | Director of Technology Innovation @ Verizon Wireless - Claire Willett | Global Executive Director of Analytics @ Condé Nast - Mihir Sanghavi | Senior Director @ LTX, A Broadridge Company - Deepak Agarwal | Director of ORx IT Operations @ Optum here Everyone’s talking about AI value—but few can measure it beyond anecdote or aspiration. In this closing panel, we’ll hear from leaders who’ve built AI programs that deliver real, quantifiable returns. Learn what they track, how they manage trade-offs, and what they’d do differently if they were starting again today. |
| 3:20 PM | https://www.anneskyvington.com.au/khghbu3oxzy Closing Remarks https://www.starglade.co.uk/2024/11/16/s6apvna1cn Presenter: Amelia Mink, Co-Founder & CEO @ Data Science Connect |
| 3:30 PM | Buy Herbal Xanax Online Networking Reception |
go here Agentic AI systems act with autonomy, pursuing goals, making decisions, and adjusting behavior based on feedback. These systems combine reasoning, memory, and planning, enabling more complex workflows. They’re key to scaling AI from task-specific tools to intelligent agents handling end-to-end processes.
source site RAG enhances generative AI by combining it with a retrieval mechanism that pulls relevant data from external sources. Instead of relying only on training data, RAG injects up-to-date, domain-specific information into responses, improving accuracy, reducing hallucinations, and enabling grounded, real-time outputs.
enter Enterprise-grade AI demands robust architecture, scalable infrastructure, strong security, governance, and integration with existing systems. Successful builds prioritize user adoption, compliance, and performance—balancing technical complexity with business value and operational readiness across teams.
Effective AI starts with good data. Data governance ensures policies, access control, and compliance, while data management focuses on collection, quality, lineage, and storage. Together, they ensure data is trusted, secure, and usable—laying the foundation for ethical, high-impact AI initiatives.
A data strategy defines how an organization collects, manages, and uses data to drive business goals. It aligns data architecture, governance, and use cases across departments. A strong data strategy ensures readiness for AI, improves decision-making, and turns data into a competitive asset.
Observability helps teams monitor, debug, and optimize data and AI systems in real time. For data, it ensures quality and pipeline health. For AI, it tracks performance, drift, and anomalies. This transparency is critical for reliability, compliance, and improving models post-deployment.
Low-code/no-code platforms enable non-technical users to build apps and workflows, lowering the barrier to data and AI adoption. They foster experimentation, speed up innovation, and empower more people to solve problems with AI—while raising the need for governance and best practices.
Scaling AI requires powerful compute, storage, networking, and orchestration. From model training to deployment, organizations need infrastructure that supports reliability, cost efficiency, and integration. This includes GPUs, MLOps pipelines, and cloud/on-prem hybrid setups to handle enterprise needs.
Measuring AI ROI involves linking models to business outcomes. It includes tracking cost savings, efficiency gains, revenue growth, and user satisfaction. Clear KPIs, baseline metrics, and post-deployment analytics are essential for justifying investments, refining use cases, and driving AI adoption.
Our sponsors represent the leading edge of data and AI. From generative AI to vector databases, graph, feature engineering, data management, and more, you’ll find the solutions you need to take your organization to the next level.
