Bert Blevins


Bert Blevins press releases

  • Emerging technologies such as Agentic AI and Multi-Controlled Planning (MCP) are transforming the landscape of cybersecurity. These innovations promise to enhance task automation and decision-making processes, significantly improving efficiency within security systems. However, with the immense power these technologies bring, new risks are emerging that could impact the security and integrity of systems. As these systems increase operational capabilities, they also introduce hidden...

  • To stay updated with more insights from Bert Blevins on AI in staffing and recruitment, follow him on his X (formerly Twitter) profile: @BertBlevins. About Bert Blevins: Bert Blevins is an influential thought leader in the staffing and recruitment industry. With extensive experience in leveraging AI to transform hiring processes, Bert shares practical solutions and insights to help businesses integrate cutting-edge technology into their recruitment strategies. His thought leadership has empowered...

  • We are excited to present an in-depth demo comparing two critical technologies in the tech landscape: Model Context Protocol (MCP) and Application Programming Interface (API). These technologies play a vital role in enabling communication between systems, but they differ significantly in their approaches and use cases. In this demo, we will showcase how each technology functions, their strengths, and the unique ways they can be applied in modern technology environments. This...

  • As the world of cybersecurity evolves, so does the technology protecting us. With cyberattacks becoming more sophisticated, AI-powered encryption systems are taking center stage in ensuring that our digital security adapts in real-time, even while we’re still working. Imagine a world where encryption never goes stale, continuously adjusting to evolving threats. AI now makes this possible through several advanced techniques: Behavioral analysis detects anomalies and strengthens encryption in...

  • As we look ahead to the future of technology, professionals and organizations must equip themselves with the skills that will drive innovation in 2026. The tech industry continues to evolve at a rapid pace, and those who adapt and master the key competencies will be positioned for success. To stay ahead, focus on mastering the following essential skills: AI Engineering: The ability to build and deploy systems that automate decision-making processes. Cloud Architecture: Master the design of...

  • In the current digital landscape, securing banking systems has become a critical priority. The increasing prevalence of cyber threats has posed significant risks to the integrity of financial institutions, requiring immediate attention and proactive defense strategies. The top threats faced by the banking sector today include: Phishing Attacks: Fraudulent emails and spoofed websites designed to steal sensitive data and facilitate financial fraud. Malware: Various forms of malicious software...

  • The world’s supply chains are facing unprecedented pressures. With risks emerging from climate change, geopolitical instability, and increasingly interconnected global systems, traditional methods of supply chain management are no longer enough. Enter AI-powered Supply Chain Risk Management 2.0 – a revolutionary approach transforming how businesses tackle supply chain disruptions before they occur. How AI is Leading the Way: Predictive Analysis: AI processes a wide range of...

  • The courtroom is about to experience a revolutionary shift as AI tools begin to play a pivotal role in the legal system. From drafting legal memoranda to summarizing records and preparing first drafts of court orders, AI is now being integrated into various facets of the legal process, providing significant advantages. However, this raises critical questions about the extent to which AI should be involved in delivering justice. Why courts are experimenting with AI: Faster drafting...

  • I am excited to present a detailed demo of Context Engineering Guide 101, where I explore how modern AI systems generate truly intelligent, context-aware responses. In this demo, I take you step-by-step through how AI systems combine short-term and long-term memory, use action tools to extend capabilities, and rely on agents to orchestrate context, tools, and memory to deliver meaningful outputs. The demo covers: How short-term and long-term memory function together How action tools expand AI...

  • In today’s rapidly evolving business landscape, retaining top talent is one of the most crucial challenges organizations face. What if you could predict when an employee is likely to leave — months before they submit their resignation? This isn’t a distant dream; it’s becoming a reality with AI-driven predictive talent analytics. Powered by AI and machine learning, this technology is revolutionizing how organizations approach retention, employee engagement, and workforce...

  • Inventory management is entering a transformative phase, driven by the convergence of three powerful technologies: AI, RFID, and MCP. Together, these innovations are reshaping how businesses approach inventory control, enabling smarter, more efficient systems that adapt in real-time. AI is revolutionizing inventory management by turning raw data into actionable insights, optimizing demand forecasting, and reducing the risk of stockouts. RFID enhances the process with real-time visibility across...

  • Zero Trust is no longer optional—it’s become the cornerstone of modern cybersecurity. A strong Zero Trust strategy goes beyond relying on a single control. Instead, it incorporates multiple security layers that continuously protect identities, data, applications, and infrastructure, particularly within hybrid and cloud environments. The core pillars of Zero Trust include: Network security with segmentation and threat detection Cloud and application security through continuous...

  • Sustainability has evolved beyond just a reporting task—it's now an essential, real-time strategy for companies worldwide. As global industries continue to scale, the pressure to meet stringent sustainability standards is increasing rapidly. This is where AI-driven carbon footprint modeling is making a significant impact by revolutionizing production planning. What’s Changing? Artificial intelligence is now tracking emissions across the entire production lifecycle—from energy use and...

  • Artificial intelligence is reshaping how developers interpret and apply zoning codes for greenfield sites. By leveraging Natural Language Processing (NLP), complex zoning regulations can now be analyzed faster and more accurately, significantly reducing errors and improving overall project efficiency. Traditionally, zoning code reviews have been time-consuming and prone to human oversight due to the volume and complexity of regulatory language. AI-driven NLP solutions streamline this process by rapidly...

  • A new demo is now available highlighting how AI tools can be built and integrated using the Model Context Protocol (MCP) on Azure Functions. The demo provides a practical, step-by-step walkthrough of using remote MCP to connect development environments with cloud platforms, enabling scalable and flexible AI integrations. The session is designed for professionals exploring AI development, cloud-native architectures, and modern integration patterns. It demonstrates how MCP can simplify communication...

  • Artificial intelligence and blockchain technologies are redefining how decisions are made across industries, challenging long-standing human-centric decision-making models. As organizations increasingly rely on digital systems, the balance between technological efficiency and human judgment has become a critical discussion point. AI introduces data-driven intelligence, speed, and scalability, enabling organizations to process vast amounts of information and make rapid, consistent decisions with reduced...

  • Artificial intelligence and blockchain technologies are redefining how decisions are made across industries, challenging long-standing human-centric decision-making models. As organizations increasingly rely on digital systems, the balance between technological efficiency and human judgment has become a critical discussion point. AI introduces data-driven intelligence, speed, and scalability, enabling organizations to process vast amounts of information and make rapid, consistent decisions with reduced...

  • Artificial intelligence is redefining the e-commerce landscape by enabling highly personalized shopping experiences that meet customers’ individual needs and preferences. By leveraging advanced techniques such as Multi-Criteria Personalization and collaborative filtering, AI allows businesses to deliver tailored product recommendations that significantly enhance customer engagement and drive revenue growth. AI-driven personalization offers several key advantages for e-commerce platforms...

  • As artificial intelligence continues to advance, AI agents are becoming deeply embedded in digital workflows across industries. To operate effectively at scale, these agents require robust and standardized communication mechanisms. Protocols such as the Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A), and Agent Communication Protocol (ACP) are emerging as critical enablers of reliable and efficient AI collaboration. MCP plays a central role in enabling structured communication between...

  • AI technology is transforming the way staffing agencies match candidates with job opportunities. By streamlining the recruitment process and enabling faster, more accurate placements, AI has become a key tool in the hiring industry. However, the growing use of AI in recruitment raises concerns about potential biases in algorithms that could lead to unfair hiring practices based on factors such as gender, race, or socioeconomic background. To ensure fairness in AI-driven recruitment, several key...