Name: Architecting Enterprise-ready Agentic AI
Start: 2025-10-15T18:00:00Z
End: 2025-10-15T18:00:49.000Z
Location: BrightTALK
Rating: 5

DataRobot delivers AI that maximizes impact and minimizes risk for your business. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale to drive results, today and in the future

Poor planning in SAP landscapes costs time and money. With market demands shifting rapidly, it's time to overhaul your approach.

This webinar shows you how Agentic AI, a powerful, autonomous intelligence beyond simple chatbots, can transform complex, multi-step planning in your organization. Discover the value of augmenting your planning teams and gaining true agility.

Key Takeaways:
Pinpoint planning pain points in your SAP environment.
Uncover where planning automation offers the greatest return on value and agility.

Stop Guessing, Start Deciding: Redefine Your SAP Planning with Agentic AI

See DataRobot's agent workforce platform in action in this product demo. Learn how to take your agents from idea to production with a walkthrough of the entire agent lifecycle, from building and deploying to managing and future-proofing your agentic workforce

AIX Summit Livestream | Agent Workforce Platform Product Demo: Agentic AI Built for the Enterprise

Learn how Genpact is building an agentic workforce, and get their CTO's practical advice for moving beyond experimentation to drive real business impact with AI.

AIX Summit Livestream | From Models to Agents with Genpact

Join leaders from NVIDIA, DataRobot, Oxy, Genpact, and Sapphire Ventures for a panel discussion on how to build a successful agentic AI strategy and navigate the transition to an agent workforce.

AIX Summit Livestream | Panel Discussion: What’s Next in Agentic AI?

Learn from Oxy's Chief AI Officer why most AI projects are a human challenge, not a technology one, and discover his proven framework to go beyond experimentation and deliver real-world business impact with production AI.

AIX Summit Livestream | From Models to Agents with Oxy

Leaders from DataRobot and NVIDIA discuss the transformative potential of agentic AI for businesses, exploring the differences between enterprise AI agents and chatbots and how to scale AI for business value.

AIX Summit Livestream | Keynote: Why Agentic AI Changes the Game

A live-streamed event built for real-world execution featuring speakers from NVIDIA and more.

Beyond the hype. Beyond the pilot. This is how you infuse agents into your enterprise.

This summit is your direct path to enterprise-grade agentic AI. For CIOs, we’re walking you through the framework you need to  confidently cross the gap of experiments to a full agent workforce. For developers, it’s a non-hyped look at the steps you’ll need to overcome to deploy agents that work for your organization.

Get the real-world lessons behind agents that actually scale. No fluff. No filler. Just what it takes.

What you’ll experience:
- CIO playbook: Get a real-world framework from CIOs putting agents into production
- Expert panel: Hear trends and execution strategies from top tech and AI firms
- Hard-won developer insights: The tools, patterns, and pitfalls to avoid for real-world agent success
- Platform unveiling & demos: A front-row seat to NVIDIA and DataRobot’s new agent workforce platform

AIX Summit Livestream: Architecting Enterprise-Ready Agentic AI - Featuring NVIDIA

Learn why Gartner® named DataRobot a Leader again - discover how we believe DataRobot empowers AI teams to go beyond experimentation and deliver real-world impact with production-ready agents.

Navigate your agentic AI strategy with DataRobot

In this live demo, DataRobot experts will take you inside our Cash Flow Forecasting App to explore:

How DataRobot seamlessly integrates with SAP ERP systems to help your teams make smarter financial decisions.
How to create highly accurate AI recommendations and insights based on your company’s data.
How to leverage DataRobot's built-in modeling and governance capabilities.

Live demo: Cash Flow Forecasting App with DataRobot

Manual processes force CFOs and their teams to make high-stakes decisions with incomplete data. But AI recommended insights give finance organizations the ability to accurately forecast their cash position and make decisions with confidence.

Join DataRobot experts Ina Ko and Vika Smilansky live to see how real-world finance teams are leveraging DataRobot to:

Reduce forecasting errors by over 50%
Gain $15M in funded invoices
Save $10M with demand forecasting

Discover the CFO AI Playbook - AI Apps for Finance

Despite increased AI investments, only one-third of AI teams have the tools they need to meet business goals. Despite the billions invested in AI, there remains a critical gap between how AI is built and how it ultimately impacts the business.

When AI teams have the right tools and the right infrastructure to rapidly develop and deliver AI into their business applications, they can deliver the outcomes their businesses need. Join experts from DataRobot as they discuss the core elements organizations need to confidently infuse AI into their business, exactly where users need it most.

Discover how real-world AI teams are delivering value with demos and an interactive conversation featuring DataRobot Product Marketers Chris deMontmollin and Vika Smilansky, with DataRobot Technical Field Lead Luke Shulman.

Infuse AI Into Your Business: How to Deliver the AI Apps Your End Users Need

Despite massive investments in AI infrastructure, 66% of teams say they don’t have the tools to meet their business goals. Lack of confidence, implementation and integration challenges, and collaboration gaps are barriers to delivering business value with AI. It’s time for a new approach.  



Join DataRobot and Ray Fager, Chief Data and Analytics Officer at King’s Hawaiian, to learn how his team is overcoming these challenges to deliver on the business impact promised by AI. In this webinar, you’ll see  live demos and discover how King’s Hawaiian uses AI to:

Forecast demand with 96% accuracy 
Reduce the time needed to train models by 54% 
And much more.

The Next Evolution of AI

It’s been over a year since GenAI hit the market, and Gartner has estimated that only 10% of generative AI solutions have made it to production. Such roadblocks range from difficulty testing to poor observability, to knowing which LLM is the best to use to the development and management process presenting new challenges for time-crunched data science teams. 

Join VP of Field CTOs Lisa Aguilar, and Jess Lin Lead GenAI Data Scientist, as they explore the two biggest decisions facing aspiring AI teams: how to choose the right LLM and how to compare and optimize GenAI performance. She’ll share:

-How to evaluate commercial versus open-source models
-How to balance cost, performance, and risk management factors
-How to benchmark your GenAI experiments against performance and quality metrics
-How to build effective (and sustainable) intervention and moderation strategies
 
Attendees will also see the real-world impact of AI with a behind-the-scenes look at digital consultancy for sustainable growth BSI and how they reduced model development time by 67%.

Choosing the Right LLM and Optimizing GenAI Performance

Scaling AI requires flexibility to get started but also completeness when deploying to production. 
Learn how to build high-performance AI pipelines with Pure Storage—integrating FlashBlade®, FlashArray™, and Portworx®. Join Field Solutions Architect Emir Biser and Principal Field Solutions Architect Ian Saunders as they share insights to guide your AI success.

 Together, they’ll cover:

● Designing and building high-performance, end-to-end AI data pipelines.
● Best practices for scaling AI workloads from experimentation to production, ensuring both flexibility during development and robustness during deployment.
● Strategies for helping organizations manage data as AI systems become production-ready, managing exponential growth while maintaining simplicity and efficiency.

From Data to Insight: Building End-to-end AI Pipelines with Pure Storage

The customer journey doesn't live in one department. It stretches across marketing, sales, finance, and support — and along the way, manual processes, disconnected tools, and slow handoffs create gaps that frustrate customers and weaken business performance. From invoices that go unpaid, to limited visibility into cash flow, to rising churn, enterprises are feeling the impact of these disconnects in tangible ways that affect the bottom line.

This session cuts through the GenAI hype to focus on practical, safe, and measurable implementation across end-to-end customer process flows. You'll discover methodologies for identifying which problems are worth solving first, how to integrate manual and digital steps into one intelligent workflow, and where human oversight remains essential to prevent costly mistakes. We'll also dig into real-world strategies for managing GenAI's inaccuracies — ensuring invoices are correct, forecasts are reliable, and customer interactions build trust instead of risk.

Join Eugina Jordan, CEO and Co-Founder, YOUnifiedAI, as she reveals proven approaches to GenAI implementation that deliver measurable business outcomes across critical enterprise functions.

- Identify high-ROI opportunities for GenAI implementation across three critical workflows: invoicing, cash flow management, and customer retention
- Implement effective human-in-the-loop protocols that mitigate GenAI hallucinations while maximizing automation benefits
- Design cross-functional workflows that eliminate departmental silos and create seamless customer experiences
- Develop practical metrics to measure GenAI's impact on revenue acceleration, operational efficiency, and customer satisfaction
- Apply a strategic framework for scaling successful GenAI implementations across your organization

Transforming the Customer Journey with GenAI Across the Enterprise

For today’s CIOs and enterprise AI leaders, the path to meaningful AI outcomes doesn’t begin with algorithms—it begins with data. From model training to deployment at scale, the foundation of successful AI lies in how organizations manage, prepare, and govern their data.

Join executive leaders from Beyond.pl, NVIDIA, and Pure Storage for a strategic conversation on accelerating enterprise AI by addressing the most critical—and often underestimated—challenge: enterprise data readiness.

This session will explore:
● How to build a future-ready AI strategy rooted in trusted, governed, and accessible data
● The evolving role of CIOs and CDOs in enabling responsible AI across hybrid environments
● Data sovereignty, compliance, and ethical frameworks shaping AI adoption in regulated industries
● Real-world lessons from Beyond.pl on powering scalable and sustainable AI infrastructures such as their GPU-as-a-service facility in Poland. 
Whether you're piloting GenAI or scaling enterprise-wide initiatives, this webinar will provide actionable insights on aligning data, infrastructure, and governance to maximize business value from AI.

Enterprise AI Unlocked: High Performance Gains Through Innovations In Data Readiness & Ecosystem Integrations at Scale

Support teams are at a critical inflection point, with GenAI reshaping customer expectations overnight. While automation promises efficiency, it often creates impersonal experiences that damage loyalty. The most successful organizations are discovering that GenAI's true power lies not in replacing human interactions, but in strategically enhancing them at every touchpoint.

Generative AI offers transformative potential for support experiences, but only when implemented with a human-centered approach. This session defines GenAI specifically within the support context and explores practical applications that benefit both end-users and support agents. You'll discover how intelligent automation can scale operations while simultaneously improving satisfaction metrics across your support ecosystem.

Join Phyllis Drucker (Influencer, EZ2BGR8 Service Management) to explore proven frameworks for implementing GenAI solutions that put people first while driving measurable business outcomes.

Key Takeaways:

- Find the right balance between scaling support operations and maintaining customer satisfaction
- Implement GenAI-powered chatbots that deliver near-human experiences through contextual understanding
- Create customized, tailored responses that increase satisfaction and engagement 
- Establish measurement systems that quantify GenAI's impact and inform future initiatives
Develop a practical roadmap for implementing GenAI in support functions, regardless of your starting point

Human-Centered GenAI Support: Winning Customer Loyalty in the Automation Era

Despite massive investment and executive enthusiasm, most organizations implementing GenAI remain stuck in perpetual pilot purgatory. Behind the headlines and hype, a select group of companies has quietly crossed the chasm from experimentation to enterprise-wide transformation—achieving what their competitors merely discuss in boardrooms. Their secret isn't better technology, but rather a systematic approach to implementation that balances ambition with pragmatism.

GenAI's true power lies in enterprise-wide applications—reimagining customer experiences, supercharging product innovation cycles and transforming operational efficiency across every business function. The question isn't whether to implement GenAI, but how quickly you can transition from experimentation to organization-wide transformation while balancing innovation with responsible governance and ethical considerations.

Join Pankul Chitrav (Application Release Engineer, TD Bank) to discover how your organization can build an actionable GenAI roadmap that delivers immediate business impact while positioning you for sustainable competitive advantage.

Key Takeaways:

- Explore how leading organizations are applying GenAI to create tangible business value across functions
- Learn specific strategies to expedite product development, content creation, and decision-making through GenAI implementation
- Master techniques for streamlining operations while delivering hyper-personalized services at scale
- Gain actionable insights on governance frameworks, ethical considerations, and sustainable GenAI adoption strategies

Unleashing Generative AI: Transform Business Strategy from Concept to Competitive Edge

With AI tools exploding, organizations today are bombarded with new technical tutorials and prompt engineering tactics. But they often become obsolete within weeks. While competitors chase fleeting GenAI techniques, the true competitive advantage lies not in mastering specific tools, but in cultivating something far more fundamental. This presentation reveals the missing catalyst that transforms GenAI from a specialized technology into an organization-wide force multiplier.

The challenge isn't in teaching your teams how to use GenAI—they're already adopting it in their personal lives. It's in creating an environment where innovation flourishes organically across all levels of your organization. Brian Kirsch demonstrates why empowering employees to apply their unique job expertise to GenAI implementation delivers more sustainable results than top-down technical approaches. Learn how to establish the right framework that enables continuous innovation without requiring constant retraining as the technology evolves.

Join Brian Kirsch, IT Instructor and Industry Expert, to discover the one evergreen principle that drives successful GenAI adoption across organizations of all sizes.

Key Takeaways:

- Understand why traditional GenAI implementation approaches fail to deliver lasting competitive advantage
- Learn to empower employees at all levels to become drivers of AI innovation without technical expertise
- Discover a sustainable framework for GenAI adoption that remains effective despite rapid technological changes
- Gain practical strategies for fostering an environment where AI-driven innovation flourishes organically
- See real-world examples of how simple ideas can create profound change across departments

Unlocking the Secret to Sustained Innovation with GenAI

While enterprise AI offers tremendous potential for organizations, implementation challenges include rapid technological evolution and governance concerns that undermine innovation confidence. This session focuses specifically on AI governance and security, featuring Anaconda's practical advice and best practices for establishing trust controls over AI models and procedures to help organizations succeed with their enterprise AI initiatives.

Practical Open Source AI: Moving Fast Without Breaking Things

Discover how Pure Storage made work flow with AI agents by starting from real business problems and integrating AI in the flow of work — moving from finding information to taking action with Glean — instead of leading with tools and tactics.

Director Phu Nguyen shares a product mindset for adoption, the grassroots tactics that drove usage, and tangible outcomes.

You’ll also get practical guidance on enabling citizen development and evolving from product to platform to scale impact responsibly.

Making Work Flow with AI Agents: A Product Journey at Pure Storage

Discover how agentic AI powers resilient IT & service operations with predictive, self-healing systems that balance agility and control for CIOs and their teams.

Creating the next chapter of Service and Ops resilience with AI

Generative AI is rapidly transforming collaboration by enabling capabilities such as summarization, workflow automation, translation and more. Generative AI offers the potential to fundamentally transform how teams and individuals collaborate and create, eliminating mundane activities and fostering innovation.

In this session, we’ll explore how Generative AI is changing the workplace collaboration landscape, including availability of tools within collaboration applications, third-party tools, and studios enabling custom AI tool creation. We’ll look at organizational strategies and share real-world examples of approaches that achieve measurable success. We’ll also look at security, compliance, and governance concerns to minimize risk.

Key Takeaways:

- Learn how to identify and implement the right Generative AI tools for your team's specific needs, whether that means using built-in features in existing applications, integrating third-party solutions, or building custom tools for unique workflows.
- Understand how to create a foundational strategy for introducing Generative AI into your organization, including understanding which collaborative tasks can be automated to free up time for strategic work.
- Gain knowledge to evaluate and address security, compliance, and governance risks associated with Generative AI, enabling you to implement these tools responsibly and minimize potential liabilities.
- Discover how to measure the success of Generative AI initiatives by measuring before and after improvements resulting from implementation.

Leveraging Generative AI to Improve Collaboration

Storytelling is one of humanity's oldest tools—yet in the corporate world, its power remains largely untapped. Every day, brilliant business ideas die silently, buried beneath technical specifications and corporate jargon. The result? Missed opportunities, disengaged stakeholders, and strategies that never reach their potential. What if you could break this cycle and transform how your ideas are received and implemented?

With GenAI, business leaders can go from dense and technical business language to persuasive narratives that connect and convert. By leveraging AI-powered storytelling techniques, operations leaders, IT professionals and transformation executives can overcome the traditional disconnect between technical teams and business decision-makers, creating alignment that accelerates adoption and drives measurable outcomes. For professionals working in enterprise processes, AI operations, and digital transformation, this capability isn't just nice-to-have—it's essential for ensuring your initiatives receive the right support and resources.

In this session, Inigo Antolin (Head of Data Management and Governance at The British Council) reveals how to harness GenAI to transform your business communication from forgettable presentations into strategic narratives that drive action and results.

Key Takeaways

- How the storytelling gap is undermining enterprise process improvements and technology adoption in data-driven organizations
- Practical frameworks for using GenAI to translate complex technical concepts into compelling business narratives
- Techniques to customize your storytelling approach for different stakeholders across the enterprise
- Ready-to-implement GenAI tools and prompts that enhance communication effectiveness without requiring creative expertise
- Measurable business outcomes achieved by organizations that have mastered GenAI-powered storytelling in process transformation initiatives

GenAI Storytelling: Turning Technical Complexity into Business Impact

Gaining a Competitive Edge with GenAI

This presentation guides IT leaders beyond foundational AI to harness Agentic AI and Advanced Analytics for profound business transformation. We establish the Economic Imperative for autonomy, focusing on achieving cost-decoupled growth and exponential value gains that outpace competitors. The focus shifts from merely automating tasks to designing self-optimizing systems that autonomously pursue strategic goals.

Key Takeaways & Actionable Guidance:

• Strategic ROI: Quantify the impact of autonomy with expected metrics like 30−50% reduction in Dev Time (via Agentic SDLC) and 90% reduction in Mean Time to Resolution (MTTR) through proactive security and self-healing IT operations. (Source: McKinsey, Forrester, and HFS Research, 2024-2025)
• Architecture of Trust: Learn how to ground agents in proprietary, real-time data using RAG and Knowledge Graphs to ensure traceable, compliant, and highly accurate prescriptive decision-making.
• Governance & Scaling Blueprint: Implement a responsible three-stage adoption framework (Assisted, Delegated, Orchestrated) to mitigate risk. This includes defining Human-in-the-Loop (HITL) oversight points and establishing strict guardrails.
• Partner Evaluation: Utilize a rigorous checklist focusing on Explainability (XAI), LLM Agnostic platform design (to avoid vendor lock-in), system integration capabilities, and the partner's methodology for change management.
• The Evolving Role: Understand the transition of the IT leader role from manager to Chief Agent Designer, focusing on translating business outcomes into clear, measurable agent goals.

The Autonomous IT Leader: Using Agentic AI and Advanced Analytics to Architect a Proactive Business Strategy

Learn how top CIOs, developers, and AI leaders are moving beyond pilots to deploy real enterprise-grade agents. Hear insights from NVIDIA, DataRobot, and industry experts on the frameworks, tools, and strategies that make agents scale—no hype, just practical lessons.

Architecting Enterprise-ready Agentic AI

enterprise AI

AI agents

CIO strategy

NVDIA

DataRobot

AI Implementation

Agent Workforce

AI Development

Digital Transformation

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Architecting Enterprise-ready Agentic AI

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