
Agent Identity & Attestation
The Missing Primitives for Trustworthy AI Agents This is another installment of an ongoing series on building …

Andrew Stevens is an executive leader and hands-on technologist who has scaled AI and cloud ventures from idea to acquisition. Based between Europe and the US, he blends deep expertise in cloud architecture, machine learning, and security with a track record in fintech, media, gaming, and AI.
Known for making complex tech relatable - often with pop-culture twists - Andrew brings sharp insights on AI guardrails, infrastructure resilience, and the creative edge humans hold in an AI-driven world. Whether advising founders, investing in early-stage startups, or speaking on global stages, Andrew helps audiences cut through the hype and focus on what matters most.

The Missing Primitives for Trustworthy AI Agents This is another installment of an ongoing series on building …

The Missing Primitives for Trustworthy AI Agents This is another installment of an ongoing series on building …

The Missing Primitives for Trustworthy AI Agents This is another installment of an ongoing series on building …

The Missing Primitives for Trustworthy AI Agents This is another installment of an ongoing series on building …

I’ve spent countless hours in boardrooms and design sessions recently, and the conversation is always the same: AI. Many …

CrowdStrike Falcon’s event stream is a powerful source of real-time security telemetry, offering deep visibility …

Personalization or Privacy? Marketing AI’s Fine Line with David Ovens How AI is reshaping hospitality - and where …

The Model Context Protocol (MCP) is more than just a new API standard, it represents a shift in how artificial …

In today’s data-driven landscape, the security of AI agents is essential. The potential for data breaches, where …

AI and America’s Pastime: How the San Francisco Giants Are Blending Tradition with Innovation Baseball is a game of …

In the second episode of Hot or Hype, we dive into the world of AI Agents—a technology that’s stirring up …

Welcome to our first Deep Dive in the “Hot or Hype” series! We’ve heard a lot of chatter about AI-Driven Predictive …

In the first episode of Hot or Hype, we dive into the world of AI-driven predictive analytics—a term that’s been …

Managing cloud costs effectively is one of the most impactful ways to support our customers. Every quarter, we conduct …

As a data engineer, I’ve frequently faced the challenge of building scalable machine learning pipelines that seamlessly …

Scaling AI models from prototype to production is a complex journey. As a data engineer, I’ve encountered …

The 2024 DORA Report offers a sweeping view of how software delivery and operational performance have evolved over the …

Artificial intelligence (AI) is integral to modern business strategies, enabling organizations to drive efficiencies, …

Modern data challenges require engineering solutions that can handle scale, security, and complexity without compromise. …

The rapid evolution of artificial intelligence (AI) has redefined how organizations approach their data architectures. …

As the EU AI Act nears implementation, businesses across industries face the dual challenge of adapting to stringent …

The European Union’s AI Act represents a significant regulatory milestone aimed at ensuring ethical, safe, and …

In today’s competitive digital advertising landscape, optimizing campaign performance requires more than creative …

The increasing complexity of data privacy regulations like the General Data Protection Regulation (GDPR), California …

The integration of Artificial Intelligence (AI) into our daily lives is no longer a matter of “if” but …

In the financial industry, where data drives decisions worth millions to billions of dollars, the integrity and …

The data landscape is moving fast right now, especially when you include AI/ML, and “Data Mesh” has emerged …

In the ever-evolving landscape of cloud computing, deploying robust and scalable architectures is paramount for …

In the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML), the integrity of datasets …

Tools delivering on the dynamic and complex needs of financial services, including the capacity to adeptly manage and …

Modern data architecture is continuously evolving to meet the need for more effective data management strategies. One …

Effective data governance is crucial for any organization. It ensures that data is managed in a consistent, secure, and …

Data breaches and privacy violations feel like every day daily news. To protect yourself and your brand, a proactive …

As data landscapes continue to expand and evolve, so does the complexity of securing them. The emergence of data …

An API, or Application Programming Interface, is a set of protocols or rules that allow different software applications …

Our team often finds that one of the most significant challenges our clients face is deciding on the right data …

We see many trends in Cloud security and here are the 15 biggest concerns in cloud security we’re seeing right …

Generative AI has been transforming industries across the globe, opening up new possibilities for innovation, …

The Zero Trust security model, which emphasizes “never trust, always verify,” is increasingly relevant in …

DevSecOps, an approach that integrates security practices into the continuous delivery pipeline, promises to improve the …

The medallion architecture is a design pattern for data lakehouses that helps organizations effectively manage and …

The data landscape is evolving rapidly, and organizations are continually looking for innovative ways to store, manage, …

In the age of data-driven decision making, effective data governance has become increasingly important for businesses of …

Effective data governance is essential for organizations to maintain the quality, security, and compliance of their data …

Data literacy is the ability to read, analyze, interpret, and communicate data effectively. As organizations …

Data architecture is the backbone of an organization’s data management strategy, providing the structure and …

The future of business and technology hinges on the prioritization of data ethics and responsible AI. In an era where …

Effective data access and sharing practices are crucial for organizations to facilitate collaboration, drive innovation, …

Data Lifecycle Management (DLM) is a critical aspect of data governance, involving the systematic management of data …

Data integration is a critical process for organizations looking to combine data from multiple sources, systems, and …

Data stewardship plays a crucial role in any successful data governance program. As organizations increasingly rely on …

Data security is a top priority for organizations in today’s digital landscape. Protecting sensitive data from …

Data quality is a critical component of any data governance program. High-quality data enables organizations to make …

As businesses increasingly move their operations to the cloud, infrastructure as code (IaC) has become a best practice …

The shift to Cloud, coupled with COVID-19, has seen massive opportunities for cybercriminals to attack infrastructure. …
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