Laggards vs Leaders: AI is no longer just the future; it’s quickly becoming the key differentiator between industry leaders and laggards. Yet for many enterprises, the journey to AI success is riddled with false starts. Pilots stall. Models fail to scale. Insights arrive too late to make a difference. In most cases, the problem isn’t the AI - it’s the data foundation beneath it.
This webinar is built for technology leaders ready to unlock the full potential of their data, moving from reactive pipelines and disconnected systems to intelligent, governed platforms designed for AI at scale. Whether you're developing LLMs, GenAI copilots, or real-time analytics, this session will help you anchor your ambitions on a data foundation that truly delivers AI outcomes.
We work with you to assess technical debt based on severity, risk, and urgency, allowing developers to focus on the most critical issues.
Refactoring your codebase ensures long-term stability and streamlines future development, improving overall quality and performance.
Our well-documented code and streamlined workflows fastrack development cycles and feature integration, reducing effort by up to 50% and saving valuable time.
Through proactive approaches like containerization and modular design, we minimize ongoing maintenance costs and reduce overall workload.
We uphold the highest security standards while fostering a culture of continuous improvement, enabling your team to improve agility and resilience.
"Technical debt can hinder growth, decelerate your organization’s ability to seize emerging market opportunities. According to a survey, 70% of CIOs, CTOs, and other technology leaders view technical debt as a significant barrier to innovation." - Forbes
This webinar is designed for forward-looking technology leaders who recognize that AI success hinges on a modern data foundation. This is relevant for stakeholders responsible for integrating LLMs, GenAI copilots, and real-time analytics into enterprise systems.
CTOs and CDO
Chief Architects
Heads of Data Engineering
AI Platforms & Enterprise Applications
Innovation and Transformation Leaders
Product or Platform Owners
Senior Director, Data Engineering & Analytics, Innominds
Dan Anamitra, Senior Director of Data Engineering & Analytics at Innominds, is a passionate leader in AI and data transformation. He brings deep expertise in GenAI, data productization, and intelligent platforms, enabling enterprises across CPG, Banking, Retail, and Healthcare to modernize data foundations, scale AI initiatives, and achieve measurable business outcomes through innovation, governance, and collaborative leadership.
Discover how to enable AI by aligning ingestion, processing, and intelligence in real time.
Learn how to build scalable, event-driven platforms designed for AI workloads.
Understand what it takes to power GenAI copilots, LLMs, and autonomous systems with robust data pipelines.
Explore how combining governance and engineering ensures traceability, compliance, and accountability.
Find practical approaches to evolve from legacy systems without ripping and replacing everything.
Hear transformation stories from enterprises and the measurable outcomes they achieved.
Access the best talent without long-term commitments
Rapidly scale your team to meet market demands
Access the best talent without long-term commitments
Maximize efficiency and maintain high-quality project delivery
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