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The Benefits and Challenges of Using AI for Competitive Intelligence Monitoring

In today’s fast-paced and competitive markets, staying ahead isn’t just a luxury—it’s a necessity. However, keeping tabs on every move your competitors make can be overwhelming. This is where competitive intelligence (CI) plays a crucial role. CI involves tracking your competitors’ strategies, pricing models, and trends to gain insights that allow you to make informed business decisions.

How to Choose the Best AI Platform - A Comprehensive Guide for Leaders

Almost every business needs AI, but it’s not needed everywhere. Yes, you read it right. AI, though it transforms entire business models, comes with a price tag. A 2022 survey by McKinsey found that only 27% of companies using AI have successfully scaled their initiatives across the organization. This highlights a key challenge—adopting AI without a clear strategy can lead to wasted resources and minimal return on investment.

Optimizing Kubernetes workloads with AI-powered monitoring

Kubernetes has drastically simplified application deployment. However, managing workloads in Kubernetes is a challenge because of their innate complexity and dynamism. Frequent bottlenecks and unpredictable application behavior can make managing Kubernetes workloads much harder. This has become simpler and lighter after the expansion of AI, which provides a more intelligent approach to managing and optimizing Kubernetes environments.

How observability, AI and automation is leading the workload management evolution

Workload management is ubiquitous when it comes to automating critical business processes. With time, workload management as a technology is going through a gradual evolution, from ‘just automation’ to an orchestrator of intelligent automation. This necessitates a layer of observability and intelligence to facilitate the move from workload automation to workload management.

Mastering Cybersecurity: From Integration to Real-World Threats and AI

In this episode of Azure on Air, Nino Crudele dives into the world of cybersecurity, revealing critical insights on safeguarding digital data. Drawing from personal experiences and real-world hacking stories, Nino unpacks how threats like social engineering and the dark web operate. He also explores the role of artificial intelligence, showing both its potential to strengthen and undermine security efforts. This episode is a must-listen for anyone wanting to stay informed about emerging cyber risks and learn best practices for protecting their online presence.

swampUP Recap: "EveryOps" is Trending as a Software Development Requirement

swampUP 2024, the annual JFrog DevOps Conference, was unique in it’s addressing not only more familiar DevOps and DevSecOps issues, but adding specific operational challenges, stemming from the explosive growth of GenAI and the resulting need for specialized capabilities for handling AI models and datasets, while supporting new personae such as AI/ML engineers, data scientists and MLOps professionals.

Understanding the NIST Framework and Recent AI Updates

A lot has changed for the National Institute of Standards and Technology NIST Framework since 2013, when former President Barack Obama signed Executive Order 13636 that directed the Executive Branch to: Since the creation of the NIST framework, we’ve seen an evolution in sophisticated cyberattacks on the rise with new challenges like AI.

Accelerating Edge AI: Infineon Introduces Development Kit for ML Innovations

The PSoC 6 AI Evaluation Kit is purpose-built for developers who need to bring AI capabilities to the edge, where real-time decision-making and energy efficiency are crucial. Unlike traditional cloud-based systems, where data must be transmitted to remote servers for processing, the PSoC 6 solution enables inference to occur directly at the data source-right at the sensor. This architecture provides numerous advantages, including.

Leveraging GenAI to Enhance Kubernetes Reliability

In the ever-evolving DevOps and site reliability engineering (SRE) landscape, Kubernetes stands out as a pivotal technology, revolutionizing how we deploy, scale, and manage containerized applications. K8s offers powerful orchestration capabilities, ensuring our applications are resilient and can scale seamlessly to meet varying demands. However, as robust as Kubernetes is, managing it efficiently requires significant expertise and effort.

How Shadow AI Is Undermining Your Organization's Security Posture

Employees can sometimes be a step ahead of their organizations when it comes to leveraging new technology. This cybersecurity month, we’re looking at the risks of shadow AI and outlining a multi-pronged approach to turn your team's AI enthusiasm from a security risk to a productivity driver.