D2iQ has introduced an AI assistant that helps organizations resolve problems more quickly and easily, including coding errors and system failures. The new DKP AI Navigator can help reduce the duration and cost of system and application bottlenecks, misconfigurations, and downtime, and ultimately help organizations overcome the Kubernetes skills gap.

In a fast-evolving world, adopting a hyperautomation strategy is the best way to future-proof your workplace. But how does hyperautomation affect your workforce, and what will it mean for the future of your business? Hyperautomation is the combination of intelligent technologies to expand automation. It incorporates AI, machine learning, robotic process automation (RPA), integration, document processing, and more.

There’s been a lot of talk about GitHub Copilot recently, loudly touted as Your AI pair programmer. According to GitHub, Copilot for Business brings the power of generative AI to engineering teams, accelerating the speed of software development and innovation. At the back end is OpenAI Codex, a modified version of the GPT-3 Large Language Model (LLM) used in ChatGPT. At the front end it integrates with code editors like Visual Studio and JetBrains to automatically generate code.

Artificial intelligence (AI) and machine learning (ML), ever-evolving fields that are subtly and stunningly transforming our world, are now firmly rooted in most aspects of the current tech landscape and business processes. Their growth is exponential, and their effects are largely positive – fostering business endeavors, enhancing our quality of life, and shaping how we live, work, and interact.

Last month, at N-able’s Empower partner event in Prague, Chief Security Officer, Dave MacKinnon conducted a roundtable with executives from MSPs from the UK, Germany, Poland, and South Africa. The topic centered around artificial intelligence (AI) and initiated dialogue around whether they were planning to embrace AI and their concerns around the impact it could have on technology as a whole. After the event, I sat down with Dave to discuss some of the insights gained from the roundtable.

Each day the news assails us with a jumbled wave of trends, hype, provocative claims, and skirmishes. From news venues around the globe, the D2iQ brain trust is called upon to provide insights and commentary to help make sense of the hot topics and controversies affecting the cloud-native and Kubernetes communities.

Data centers are the backbone of the digital economy, hosting the servers, networks, and software that power the internet and cloud services. Data centers consume a lot of electricity, accounting for about 1% of the global energy demand in 2019. As AI becomes more widespread and complex, data centers will need to upgrade their hardware and infrastructure to meet the growing demand for AI processing. This will increase the cost of operating data centers in several ways.

In the ever-changing world of IT and digitalization, we’ve all probably pondered the same thought at least once: “Can AI ever replace me?” An example is the Tom and Jerry cartoon episode with the robot cat meant to replace Tom. Another is the video game Detroit: Become Human that navigates a world where self-aware androids surpass humans in intelligence. Fiction aside, we’re already seeing AI’s true capabilities with tools like Chat GPT and Bard.

On 16 July the world celebrates International Artificial Appreciation Day. In the previous century, science fiction often covered topics and inventions that are now closer to science fact, such as humanoid robots. In the 50s, artificial intelligence met both great successes, including algorithm development, and big failures, caused by compute power constraints.

Hey there! We're excited to share a new troubleshooting feature we have added to Netdata, the Netdata Assistant. We've built this tool to help you troubleshoot more effectively and with less stress. Let's dive in.