Amazon Bedrock goes GA with new AI models in the mix, plus AI-assisted coding customized for your organization, a generative AI boost for business analysts, and more (free) ways to get your AI skills dialed.
Amazon Web Services (AWS) announced five generative artificial intelligence (generative AI) innovations, so organizations of all sizes can build new generative AI applications, enhance employee productivity, and transform businesses.
“Over the last year, the proliferation of data, access to scalable compute, and advancements in machine learning have led to a surge of interest in generative AI, sparking new ideas that could transform entire industries and reimagine how work gets done,” said Swami Sivasubramanian, vice president of Data and AI at AWS. “Today’s announcement is a major milestone that puts generative AI at the fingertips of every business, from startups to enterprises, and every employee, from developers to data analysts. With powerful, new innovations AWS is bringing greater security, choice, and performance to customers, while also helping them to tightly align their data strategy across their organization, so they can make the most of the transformative potential of generative AI.”
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Matt Small doesn’t just plan for the future of AI; he blueprints the systems that sustain it.
As a key consultant and client experience engineer at Sentia AI, Matt is one of the architects that global organizations rely on when they need to transition from AI experimentation to full-scale operational dominance.
He specializes in bridging the gap between high-level corporate vision and the gritty, technical execution required to win in the "Agentic AI" era.
Matt’s mission is the eradication of "Strategic Drift"—the phenomenon where companies invest in cutting-edge AI but lack the organizational structure to capitalize on it. He specializes in navigating the complex intersection of human capital, legacy workflows, and autonomous agents:
- Strategic GTM Acceleration: Designing and executing go-to-market playboards that allow enterprise clients to deploy AI solutions faster than the competition.
- Operational Excellence & Enterprise AI Scaling: Moving beyond "proof of concept" to build robust, governed AI environments that scale across global departments without breaking. AI Pilots that don't scale don't belong in most tech stacks.
- The ROI Blueprint: Identifying the high-impact use cases within an organization to ensure that AI investments translate directly into EBITDA growth and market share.
- Agentic Workforce Integration: Managing the cultural and structural shift required when human teams begin collaborating with Sentia’s autonomous AI agents. Functional AI - where AI supports and improves decision making for humans is the future.
A relentless driver of momentum, Matt ensures that Sentia AI isn't just a technology provider, but a long-term strategic partner. He works alongside Sentia’s elite engineering teams to ensure every deployment is backed by a roadmap for long-term scalability and market leadership.
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