As global energy demand continues rising, renewable sources provide a sustainable solution to meet needs without further environmental damage. Solar and wind dominate growth currently, yet trail fossil fuels supplying just 12% of total use. While obstacles like intermittent generation and constrained suitable geography slow adoption, remarkable innovations tackle prior limitations. Cross-sector coordination also aids grids in handling variable inputs. Multiple technologies now reach cost-competitiveness with conventional options. Recent advances make clear that renewables present far more than a niche green solution, rather the inevitable future mainstream energy backbone. This transition brings profound global ripple effects. I outline the...

GPUs, graphics processing units, have become integral for machine learning workflows. Compared to CPUs, GPUs handle parallel computations better suited for neural networks underlying deep learning models. Across test cycles spanning computer vision, natural language processing, and recommendation systems, GPU acceleration reduces training times manifold. As deep learning permeates into more domains, data scientists and ML engineers pick GPUs warranting both cost and performance for their projects. I outline the top 10 NVIDIA GPUs as of 2023 for machine learning below. The list focuses on dedicated GPUs rather than integrated graphics for gaming or media workflows. It covers a...

In the era of smartphone cameras, it is quite interesting that compact cameras are still purchased by some groups of people for capturing beautiful pictures. Though smartphones available today are undeniably capable and convenient enough to be carried during travel. But there are certain unique features and functions that a compact camera possesses that are not found in smartphones. The lens size of the phone’s camera is small, so this is where a “point and shoot” camera is needed. The latest models of these cameras have large sensors, zoom range, and can be controlled manually. The compact, fixed zoom...

What Is Sustainable Technology?

• Substitution

Why Is It Suitable For Business?

What Is A Data Fabric?

Why Do We Use A Data Fabric?

What Are Autonomous Systems?

What Do Autonomous Systems Do?

What Is Continuous Penetration Testing?

What Is An Application Security Administrator?

IT Service Management (ITSM) frameworks provide structured guidance to manage the delivery of IT services end-to-end while optimizing costs. However, simply implementing the ITIL guidelines or processes from your chosen framework is not enough to guarantee ITSM success. Organizations need to embrace core ITSM best practices across people, process, and technology areas to ensure smooth adoption, and stakeholder buy-in, and to drive continual service improvements over time. Across various industries worldwide, the top-performing IT support teams tactically build up ITSM capabilities. As IT leaders and technology executives, we need to focus on specific high-impact areas and master the fundamentals...

Artificial intelligence infuses modern customer service, empowering companies to strengthen support capabilities. Integrating AI optimizes operations, capturing unified customer data, and applying intelligent automation for efficient issue resolution. As customers expect personalized, seamless interactions across channels, AI-enabled platforms directly enhance satisfaction. Companies should evaluate top solutions to determine ideal fits aligning with specific business needs and customer profiles while considering required development and deployment investments. I outline the top 10 AI-driven customer service platforms warranting strong consideration below. The leading options leverage machine learning, natural language processing, sentiment analysis, and predictive analytics to uncover customer insights, gauge satisfaction,...