In this NYSE Live interview, David Steinberg, Co-Founder, Chairman, and CEO of Data Global, discusses key announcements from the company's annual Data Live conference and shares his perspective on the future of enterprise artificial intelligence.

Steinberg begins by reflecting on the growth of the Data Live event, which attracted more than 3,000 attendees this year, including business leaders and decision-makers from across technology and marketing sectors. He discusses the increasing interest in AI-driven business applications and the growing focus on enterprise-wide AI adoption.

A major theme of the interview is the launch of Athena OS, Data Global's intelligence operating system. Steinberg explains how the platform is designed to bring together multiple operational functions within an organization, allowing businesses to connect data, workflows, and decision-making processes through a unified AI-powered framework. Potential applications discussed include inventory management, demand forecasting, logistics planning, fraud detection, cybersecurity operations, and business orchestration.

The conversation also explores the importance of proprietary data in enterprise AI environments. Steinberg discusses the development of the company's Athena Inference Models and explains why organizations often seek specialized AI models that can utilize unique business data while maintaining control over sensitive information.

Another significant topic is Data Global's growing ecosystem of partnerships. Steinberg highlights relationships with NVIDIA, Fireworks AI, OpenAI, Snowflake, and Palantir, explaining how these collaborations contribute to the infrastructure, computing capabilities, and data frameworks supporting the company's AI initiatives.

The interview examines the company's evolution over time, from its origins in marketing technology to its current focus on AI infrastructure and enterprise operating systems. Steinberg notes that customer demand has played a significant role in driving product expansion and shaping the development of Athena OS.

Additional topics include AI-driven decision support, enterprise data management, intelligent automation, operational efficiency, and the increasing role of artificial intelligence in large-scale business environments.

Throughout the discussion, Steinberg shares insights into enterprise AI strategy, infrastructure development, data-centric innovation, and the technologies that may influence the next generation of business operations.

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