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How Entry Level Technology Skills Can Help You Build A Stronger Cybersecurity Career

Starting your cybersecurity career with some technology experience is a good move. The technology field is broad, but, overall, it refers to general technological concepts. Cybersecurity is about securing systems or networks, but, to a large extent, it is necessary to have some background information regarding technology in general. Entry level technology skills will provide the background needed to understand potential problems and the confidence needed to move forward in your career.

How Workplace Maintenance Supports Better Resource Management

Every company needs various resources for its efficient operation, such as different kinds of equipment, inventory, workforce, and workspace. These goods require special maintenance to ensure their proper functioning and contribution to the business's productivity. However, apart from economic resources, a company needs to maintain its workspace to optimize its management. The proper maintenance of the workplace will help to minimize expenses, increase productivity, and ensure the stable functioning of a firm.

Why More UK Firms are Turning to Colocation for their AI Workloads

The last few years have seen AI conversations dominated by the need for investment in hyperscale infrastructure as firms race to build ever larger training models. But as those conversations evolve, the emphasis is shifting to the next phase of AI adoption, focusing on the scaling of use cases and real-world value.

Megaport Signs Open Weights and American AI Leadership Letter

Megaport has signed the Open Weights and American AI Leadership letter, supporting open-weight AI, customer choice, and the infrastructure that powers AI innovation. Artificial intelligence is reshaping how organizations build, deploy, and scale digital infrastructure. As AI adoption accelerates, the conversation is evolving beyond model performance alone to the broader ecosystem needed to support long-term innovation.

Software is a team sport. Most AI tools forgot that.

Every AI coding tool ships the same promise: your developers, faster. Autocomplete in the IDE, agents in the terminal, a working prototype before lunch. And it delivers, at least for the person holding the keyboard. The problem is that most of what it takes to ship software was never a solo activity, and that is the part the market keeps skipping.

What is FP&A? Financial planning and analysis in the AI spend era

FP&A stands for financial planning and analysis. It is the corporate finance function responsible for budgeting, forecasting, variance analysis, and decision support. If you're asking what is FP&A in practice: FP&A teams build the annual operating plan, project revenue and expenses, explain gaps between plan and actuals, and give leadership the numbers behind strategic decisions. Accounting reports what happened. FP&A models what happens next.

LLM cost optimization: 7 strategies to cut inference spend

LLM cost optimization is the practice of cutting what you spend on large language models, mostly inference, without losing the quality that makes the AI worth running. The biggest levers are routing requests to cheaper models, caching repeated tokens, batching anything that can wait, trimming prompts, right-sizing models, cutting calls you do not need, and putting one gateway and cost view in front of all of it.

Kepler Is in Public Preview: One Task, Every Repo, Every Agent

A faster car doesn’t get you home faster if the freeway is still jammed. That is the problem most teams run into once they add a second, third, or fourth AI coding agent to the mix. More agents generate more code. They do not automatically generate more finished work, because someone still has to track which agent is waiting on input, which one just opened a pull request, and which one has been quietly stuck for twenty minutes. Kepler is GitKraken’s answer to that traffic jam.