As the world continues to move toward fully autonomous workflows, the use of agentic AI is the next wave of AI innovation in 2026 and beyond.
The evolution of agentic AI represents a shift away from copilots and focuses on proactive agents that can operate various workflows across the entire company. These systems combine reasoning, memory, and planning to perform complex tasks with minimal human intervention. So, how can agentic AI be deployed in a safe, responsible, and profitable way?
Agents are already transforming business functions such as finance, supply chain, CX, and IT to deliver measurable efficiency at unprecedented scale. From model-monitoring and governance to ROI measurement and human-AI collaboration, agentic AI is harnessing the practical foundations of autonomy.
Join us for this Agentic AI Summit on January 15, 2026, where top minds in AI innovation will explore:
The shift from assistive copilots to fully autonomous AI agents marks a defining moment in enterprise transformation. In 2026, organizations are moving beyond “AI assistance” to deploy systems that can reason, plan, and act independently across entire workflows. Agentic AI is reshaping business models, decision-making, and productivity across every channel and companies are tasked with scaling these intelligent systems responsibly.
Join this exciting keynote presentation, which will uncover:
Acting Manager, AI Solutions and Platforms
As enterprises accelerate adoption of agentic AI, many are realizing that agents alone don’t scale—orchestration does. In this session, UiPath and G2 AI Research discuss how organizations can move beyond fragmented pilots to coordinated, enterprise-grade AI by orchestrating agents, automation, data, and humans people within governed workflows.
The conversation explores how IT leaders are prioritizing business outcomes, trust, and flexibility—while evolving existing automation investments into agentic automation without disruption.
Key takeaways include:
Vice President of Product Marketing
Head of AI Research | Executive Fellow at the Digital Data Design Institute
As enterprises embrace agentic AI, the emerging discipline of AgentOps – the practice of managing, monitoring, and governing AI agents – has become a strategic priority. Effective oversight is critical to ensuring transparency, reliability, and ethical operation within autonomous systems. Therefore, it is important to stay abreast of the evolving standards and frameworks for safe AI deployment and balancing automation with human oversight. The integration of humans and AI agents within modern workflows is creating a new model of collaboration, accountability, and continuous learning across the enterprise.
In this timely panel discussion, you will learn:
Agentic AI Asset Lead - Public Markets
Distinguished AI Architect
A.I. Strategist & Author
Product Lead, Game AI, Trustworthy AI, Gov AI
AI & ML Expert
Many organizations have moved past AI pilots—but still struggle to turn AI into sustained, enterprise-wide impact. The bottleneck is no longer model performance, infrastructure, or tools. It’s people.
As AI initiatives scale, skill gaps, organizational resistance, and fragmented ownership increasingly limit ROI.
Eightfold AI’s latest research, based on insights from 700 global organizations, reveals that the companies breaking through the “messy middle” share one defining trait: a tight, strategic partnership between the CIO and CHRO.
In this session, we’ll explore why 90% of AI leaders say CHRO involvement is critical to AI transformation—and how those who engage HR early achieve up to 14.7x higher workforce productivity and 5.6x higher profitability.
We’ll discuss how leading organizations are:
Director, Talent-centered Transformation
Director of Training Delivery
Edge devices with advanced AI capabilities are rapidly entering the market. As the primary point of user interaction, they serve as the first layer of engagement. These devices must assist users with daily tasks, decision-making, data interpretation, and act on their behalf. Developing agentic use cases for edge devices presents unique challenges and opportunities. The key challenge lies in delivering robust capabilities within the constraints of edge hardware while maintaining a seamless user experience.
Join this keynote presentation to learn:
Director of AI Product Management
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