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source site 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 Atlanta 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.
https://www.thelooksee.com/pafqihn At DSC, we pride ourselves on hosting leading executives who are real-world changemakers: the senior data leaders from Fortune 500 companies who are at the forefront of innovation.
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https://www.appslikethese.com/8ebwcy4 Registration includes in-person access to all summit features including:
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get link – Exhibit Hall
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https://www.starglade.co.uk/2024/11/16/oddopey4 You watch may qualify if you meet all 3 criteria below:
1. Your company is not a vendor and has no sales interest in end-users of AI-related products or services
2. You work at a non-vendor organization with 5K+ employees
3. You hold a senior-level position (director-level and up)
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| AGENDA | |
| 9:00 AM | Order Alprazolam Online Uk Registration & Breakfast |
| 9:45 AM | https://kugellager-leitner.at/5dz448wua1 Opening Remarks – The AI Quotient: Are You Ready for the Next Era of Enterprise AI? enter 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 | Buy Xanax Uk Online Executive Roundtable Breakout Session (Invite-Only) – From MVP to Mission Critical: Building Production-Ready AI Applications https://www.appslikethese.com/i6ixqbgj6i Most enterprises are stuck in the prototype phase, celebrating proof-of-concept wins while core systems remain untouched. This roundtable is a candid conversation among execs who’ve moved past the hype and are embedding AI into revenue-generating, risk-sensitive, and customer-facing systems. What does it take to go from experimentation to enterprise-grade AI? |
| 10:05 AM | https://catschef.com/wgc7vrr Panel Discussion – The Agentic AI Enterprise: From Concepts to Scalable Systems https://www.servirbrasil.org.br/2024/11/r0mobu4nns The shift from LLMs as tools to agents as collaborators is underway—but how do you design, deploy, and scale these systems without losing control or compromising integrity? This panel explores the architecture, workflows, and cultural changes required to move from chatbot experiments to autonomous systems that actually drive business outcomes. |
| 10:55 AM | get link Presentation – Scaling AI Beyond Vectors: Building Smarter, Faster Systems for RAG Xanax Where To Buy Uk RAG is evolving fast—and vector search isn’t enough. This session explores how enterprises are pushing past basic retrieval by integrating structured data, metadata, ranking models, and hybrid search to build smarter, faster, and more context-aware AI systems that scale. |
| 11:05 AM | https://variatheater.uk/2024/11/16/82wnjy3wi Networking Break |
| 11:35 AM | https://www.appslikethese.com/a3e5r9hpqak Executive Roundtable Breakout Session (Invite-Only) – The CDO Mandate: Driving Business Growth Through Data + AI Strategy source link The Chief Data Officer role is evolving from governance gatekeeper to growth architect. In this roundtable, CDOs and data leaders will dissect how they’re aligning AI strategy with P&L impact, unlocking new value streams, and navigating the political realities of driving enterprise change with data at the center. |
| 11:35 AM | http://thefurrybambinos.com/abandoned/nt9fgiote3h Presentation – Data Alone Isn’t Enough: Why Business Relevance Is the Missing Piece in AI Success click Clean data is only half the equation. Without aligning AI initiatives to real business context, even the most accurate models fall short. This session explores how to embed domain expertise, intent, and strategic priorities into your data workflows to unlock AI that actually delivers value. |
| 12:00 PM | https://www.birthdayinspire.com/638rarh2j Presentation – Enterprise-Grade AI: Building for Scale, Security, and Sustainability: What It Takes to Go from MVP to Mission-Critical https://variatheater.uk/2024/11/16/21ko9lxlran AI pilots are easy. Scaling them across an enterprise isn’t. This session unpacks the architecture, security, governance, and change management required to move from isolated experiments to robust, sustainable AI systems that drive real business impact—without breaking trust or infrastructure. |
| 12:20 PM | follow link Networking Lunch + Open Bar Begins |
| 1:15 PM | go site Executive Roundtable Breakout Session (Invite-Only) – Can You Trust Your AI? Observability from Data to Decisions https://www.anneskyvington.com.au/j0fnqh3u0a Enterprises are adopting AI faster than they’re building trust in it. From training data to real-time decisions, this roundtable digs into what it takes to establish observability across the entire AI stack. How do you detect drift, bias, hallucinations—or worse—before they hit the business? |
| 1:15 PM | source Panel Discussion – RAGs to Riches: Transforming Retrieval-Augmented Generation into Strategic Decision-Making Assets https://www.thelooksee.com/aj3apk9qhpa Retrieval-Augmented Generation (RAG) has moved from a novelty to a necessity for enterprises dealing with complex internal knowledge. But RAG systems still suffer from fragility, hallucinations, and governance gaps. This session explores how forward-leaning companies are evolving RAG beyond chatbot demos into dependable decision-support engines. |
| 2:05 PM | https://www.anneskyvington.com.au/tcp8n1d Executive Roundtable Breakout Session (Invite-Only) – From GPUs to Governance: End-to-End Infrastructure Strategies go here Building the AI stack isn’t just about model access or GPU spend—it’s about long-term control, flexibility, and security. In this invite-only session, infrastructure and platform leaders will compare notes on the real trade-offs between open and closed systems, cloud vs. hybrid, and where the governance guardrails truly need to sit. |
| 2:05 PM | https://svrunners.org/49qnavof Panel Discussion – Governance Reloaded: A Modern Approach for AI-Driven Enterprises source link Traditional governance models were built for BI dashboards, not autonomous systems. As AI touches more sensitive, strategic areas of the business, governance can’t be a bottleneck—but it also can’t be a checkbox. This panel cuts through policy theater and explores how to design governance frameworks that are adaptive, enforceable, and respected. |
| 2:55 PM | Cheapest Xanax Bars Executive Roundtable Breakout Session (Invite-Only) – AI Investment Decisions: Balancing Innovation, Risk, and Return click here The pressure to “do something with AI” is everywhere—but not every initiative deserves budget or leadership attention. This roundtable is a frank conversation about how the best-run enterprises prioritize AI investments, kill vanity projects, and avoid being held hostage by vendors or internal hype cycles. |
| 2:55 PM | Order Xanax Online Legit Panel Discussion – AI ROI in Practice: What Leading Enterprises Get Right https://blog.lakelandarc.org/2024/11/vgqr613np3e 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. |
| 3:40 PM | https://www.glasslakesphotography.com/nb5vwf9f3tb Networking Reception |
| 4:30 PM | go to link Executive Happy Hours + Dinners (Invite-Only) |
https://www.datirestaurante.com.br/eb821b6z5y7 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.
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.
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.
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