As a technology leader with over two decades of experience in software architecture and engineering leadership, I am dedicated to redefining the enterprise data platform for the AI era through open, connected architectures and advancements in artificial intelligence. I foster a collaborative culture to navigate and address emerging market disruptions, driving innovation to meet the evolving needs of modern enterprises. My journey includes leadership roles at major technology companies and significant contributions to the open-source community.
Louis Landry, CTO of Teradata discussed the key challenges and opportunities in delivering UX across Multi-cloud, solutions to ensure data integrity, security, and compliance across the cloud, the role of AI and ML in enterprise decision-making, and more.
"I see the future of data-driven decision-making with AI empowering organizations to make faster, more informed decisions through predictive analytics and advanced machine learning. AI can analyze patterns in real-time, enabling proactive decisions rather than reactive ones. A critical aspect of this is higher transparency — for example: reasoning models are beginning to provide their “chain of thought” in responding to prompts, which builds trust by ensuring its decisions are logical, understandable, and can be internalized by users."
"I’m particularly excited about the blending of traditional software with generative AI. We’re seeing more AI-powered agents that can handle multistep productivity tasks, using either broad or customized domain-specific training, while also understanding the user’s intent and context. This is a huge step forward in how businesses can automate complex processes."