Operations | Monitoring | ITSM | DevOps | Cloud

February 2025

Maximizing B2B Sales Efficiency with AI-Powered Outreach

Sales outreach will become easier, smarter, and more scalable through increased artificial intelligence processing. Traditionally, B2B sales outreach has been a manual process of cold calling, follow-up emails, even qualifying to see who within a company is the right person to pitch to. In an analog non-AI world, it takes time and effort to reach out. But on the contrary, with AI reaching out, it doesn't have to be like that anymore. The outreach impact happens in a different way for the outreach changes the way people engage automation creates effective engagement systems and precise interests and audiences.

Five Key Benefits of Creative Fabrica's AI Font Generator: Transform Your Typography

The field of digital creativity is dynamic and innovative. New ideas, trends, and digital tools emerge daily, rewriting the market rules and posing new challenges for creators. Graphic designers, marketers, crafters, and artists have to adapt quickly. Often, the capacity to create custom visuals and fancy fonts can significantly enhance their projects and boost their competitive advantage. This is where Creative Fabrica's Font Generator steps in-an advanced font editor powered by AI. This font style generator utilizes AI (artificial intelligence) and offers numerous advantages that surpass conventional font design methods.

AI & Gartner's Strategic Roadmap Timeline for Cybersecurity - A Perspective from Teneo

The integration of artificial intelligence (AI) presents both unprecedented opportunities and emerging threats. Gartner’s Strategic Roadmap for Cybersecurity Leadership emphasizes the need for adaptive strategies that align with business objectives and technological advancements. Concurrently, the UK’s National Cyber Security Centre (NCSC) has highlighted the dual-edged nature of AI in its report on the impact of AI on cyber threats.

How Caching Improves Software Performance: A Developer's Guide

Every millisecond counts in modern software development. Whether you're optimizing a high-traffic web application, a complex SaaS platform, or a resource-intensive AI system, caching is one of the most powerful yet often overlooked techniques to dramatically boost performance. This guide will take developers beyond the basics, diving into real-world strategies, pitfalls, and best practices for implementing caching effectively.

Can AI Help with Writing IT Blog Posts?

Blogging is essential for IT professionals to share knowledge, explain complex topics, and establish thought leadership. However, writing clear, engaging, and technically accurate blog posts can be challenging, especially when dealing with highly specialized subjects. Many IT experts are skilled at problem-solving and coding but may struggle to translate their insights into easy-to-read content. AI-based writing tools play a major role in this. IT professionals can use cutting-edge technology to create targeted content that is more engaging and hooking for audiences.

Fine-tuning a Pre-trained GenAI Model - A Complete Guide

Ever been on the receiving end of a useless chatbot response? Imagine asking, “Why is my 5G down in this area?” and getting, “Try restarting your device.” No context. No understanding. No real help. The issue here, however, isn’t bad intent—it’s that the bot doesn’t understand telecom-specific language or service outage patterns. Instead of easing your support load, it’s driving frustrated customers to jam your support lines.

7 considerations when building your ML architecture

As the number of organizations moving their ML projects to production is growing, the need to build reliable, scalable architecture has become a more pressing concern. According to BCG (Boston Consulting Group), only 6% of organizations are investing in upskilling their workforce in AI skills. For any organization seeking to reach AI maturity, this skills gap is likely to cause disruption.

Aiven AI Insights - Ongoing Performance Actionable Insights

The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.

Digital Asset Management for Game Development Success

Creating a game is like building a massive puzzle; every piece-textures, models, audio files, and scripts-must fit perfectly. Managing these digital assets can quickly become overwhelming without the right tools and strategies. That's where digital asset management (DAM) steps in to save the day.

Building Production-Ready AI Infrastructure: How Megaport and Vultr Are Solving the Enterprise Challenge

In bridging traditional enterprise environments with modern GPU resources, we're helping organizations build AI infrastructure that's truly ready for production workloads. Co-authored by Duncan Ng, Vice President Solutions Engineering, Vultr As enterprises move from AI experimentation to production deployment, most are realizing a fundamental truth: Successful AI adoption requires more than just access to GPU computing power.

The Advanced Data Compression Techniques That Quietly Power Logz.io's AI Observability Agents

As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.

AI in 2025: is it an agentic year?

2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the previous year (source: Gartner). In the same report, organizations answered that they are using AI in more than one part of their business, with 65% of respondents mentioning they use GenAI in one function.

How Sony improved IT incident management with AI-powered context and event correlation

Ben Narramore, Director of Global Operations and Service Management at Playstation, describes the impacts of adopting BigPanda AIOps on Sony’s operations, processes, and workflows. To learn more, watch the full webinar on How Sony expanded AIOps insights to Incident Management teams.

Revolutionizing IT Service Management: AI-Powered Transformation with Ivanti Neurons

Revolutionizing IT Service Management: AI-Powered Transformation with Ivanti Neurons In today's rapidly evolving digital landscape, IT service management (ITSM) is undergoing a radical transformation. Join our exclusive webinar to discover how Ivanti Neurons is leveraging artificial intelligence to redefine IT support, streamline operations, and drive unprecedented efficiency. Key Highlights.

The Modern Data Center: How AI is Reshaping Infrastructure

The traditional data center is undergoing a dramatic transformation. As artificial intelligence reshapes industries from healthcare to financial services, it’s not just the applications that are changing—the very infrastructure powering these innovations requires a fundamental rethinking. Today’s data center bears little resemblance to the server rooms of the past.

The Impact of Technology on Educating the Next Generation of Programmers

Technology is reshaping how aspiring programmers learn, practice, and master coding skills. With rapid advancements in artificial intelligence, cloud computing, and interactive learning platforms, traditional methods of teaching programming are evolving. The shift is not just about access to information-it's about engagement, personalization, and efficiency.

AI in Embedded Systems: A Black Box You Must Control

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.

What is AI Middleware, and Why You Need It to Safely Deliver AI Applications

When it comes to infusing artificial intelligence (AI) into enterprise applications, developers, platform engineers and data scientists are facing a tremendous opportunity. However, in Tanzu, we are also hearing about their struggles to get to production, not to mention achieving positive return on investment (ROI).

AI-Driven Healthcare: How AIOps is Revolutionizing Medical IT Operations

The healthcare industry is undergoing a massive digital transformation, driven by artificial intelligence (AI) and automation. Among the most promising innovations is Artificial Intelligence for IT Operations (AIOps), which is reshaping how medical IT infrastructures are managed. From private practice billing services to laboratory billing services and patient management software, AIOps is bringing efficiency, accuracy, and cost savings to healthcare organizations.

Generative AI vs. Predictive AI: The Strategic Choice For Business Leaders

2022 was the "Model T" moment for generative AI, with ChatGPT making its grand entrance and shaking up digital transformation the way Ford changed mobility. The excitement and trust in AI are so real that VCs have funneled $3.9 billion into generative AI in Q3 2024 alone. 49% of companies are allocating new budgets to AI initiatives, and firms like Marsh McLennan have already deployed 40+ AI applications in production.

The AI Model Showdown - LLaMA 3.3-70B vs. Claude 3.5 Sonnet v2 vs. DeepSeek-R1/V3

Following all the hype and bluster with DeepSeek’s arrival in the AI landscape––and its ability to crash the poster child of AI’s share value overnight (Nvidia), we wanted to conduct a rigorous evaluation at Komodor. We tested DeepSeek’s models head-to-head against industry leaders in solving real-world Kubernetes challenges.

Jekyll and Hyde: Taming AI Security with Automation

AI offers a world of promise for security teams, including potential for advanced threat detection, automated response capabilities, and enhanced data analysis for cybersecurity. But the same technology that supports cybersecurity teams can also be weaponized by threat actors — a true “Good vs. Evil", or “Jekyll and Hyde” scenario.

Edge AI is a Game-Changer for Embedded Devices

AI at the edge is built for embedded systems. And no need for tons of compute power— most of the heavy lifting happens during training so the models run efficiently on minimal hardware. With microcontrollers like STM32N6 optimizing for AI workloads, the potential is growing fast. Is AI at the edge part of your embedded strategy this year?

The Future of SEO: Predictions and Preparations

Search Engine Optimization better known as SEO, has been part of digital marketing right from the year 2000. With growth in technology and alterations in the manner that users interact on the online platform, SEO changes as well. It will particularly apply to businesses and marketers who want to improve on their positions as far as the internet is concerned. An SEO agency possesses industry knowledge to assist in updating strategies to match current knowledge and implementations of an algorithm.

Using a transformer-based text embeddings model to reduce Sentry alerts by 40% and cut through noise

Sentry uses Issue Grouping to aggregate identical errors and prevent duplicate issues from being created, and duplicate alerts being sent. One of the chief complaints we’ve heard from our users is that in some cases the existing algorithm did not sufficiently group similar errors together, and Sentry would create separate issues and alerts, causing unnecessary disruption–or at least annoyance–to developers.

How AI-powered anomaly detection is transforming APM for SREs

Site reliability engineers (SREs) often face challenges in keeping an organization’s sites running smoothly as the complexity of distributed systems steadily increases. With the rise of microservices, cloud-native architectures, and massive data volumes, manual monitoring and troubleshooting are no longer sustainable. SREs must navigate hurdles like alert fatigue, incident response delays, and the constant pressure to maintain system reliability.

How AI is Transforming the Way We Analyze Data

In 1956, when IBM's engineers unveiled the first hard disk drive, it stored only five megabytes-an amount dwarfed today by a single high-quality photo on your smartphone. But that wasn't the fascinating part; it was the vision. They anticipated a future where data would not only be stored but also analyzed on an unprecedented scale. Fast forward to the 21st century, and data is growing exponentially. Every second, trillions of bytes are created, tracked, and stored across the globe. But storing it isn't the challenge anymore; making sense of it is.

How AI Can Misinterpret Data and Lead to Errors

While AI systems can analyze vast amounts of data quickly, they may also misinterpret that data and lead to significant errors. Understanding how AI misjudgments occur will improve algorithms and ensure they provide accurate results. From biases in data to linguistic ambiguities, various factors can contribute to an AI's misinterpretation of information. Look closely at how these systems work and reveal why you should address these issues right below.

Unlocking Business Value Through Generative AI in Retail

Generative AI has now become an essential tool in reshaping retail as we know it. Major players, including Amazon, Walmart, Carrefour, and more, have integrated GenAI into their operations, unlocking unprecedented efficiency and personalization in their strategies. As AI continues to evolve, it’s no longer just about retail media and advertising—it’s revolutionizing every aspect of the retail landscape, from product development to customer service.

A Leader's Framework for Enterprise AI Platform Investment

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.

Software white labelling for businesses

White labelling is a type of business model increasingly used worldwide. It involves an external company to produce goods and sellers to offer them under their individual brands. This pattern works quite well in the digital industry. A white label AI software, therefore, can boost profitability without months of custom development. In this article, we will have a look at some details.

The Rise of the AI Humanizer: Breathing Life into Robotic Text

The evolution of AI writing tools has been nothing short of transformative, reshaping how we approach content creation across industries-from crafting compelling marketing copy to automating complex code generation. Having followed this journey closely as a tech media writer, I've seen both the promise and the pitfalls of these technologies. One challenge, however, has remained stubbornly persistent: the unmistakably robotic tone that often betrays the origins of AI-generated text.