CAD software has made leaps and bounds in its evolution in recent years, growing exponentially since the early days of blueprinting. What once required physical drafting tables, pens, templates and rulers to get the job done can now be done entirely digitally. Early CAD models emerged in the 80s, however, they were largely inaccessible. High costs and location constraints kept CAD from those who really needed it, such as engineers or architects.
CAD software has made leaps and bounds in its evolution in recent years, growing exponentially since the early days of blueprinting. What once required physical drafting tables, pens, templates and rulers to get the job done can now be done entirely digitally. Early CAD models emerged in the 80s, however, they were largely inaccessible. High costs and location constraints kept CAD from those who really needed it, such as engineers or architects.
Although agentic AI was previously less than 1% of enterprise software in healthcare, usage is expected to surge to 33% by 2028. This is largely because of advancements in agentic AI, now able to autonomously complete tasks and work without human input. In healthcare, this means that these agents are able to take care of back-end operations such as insurance verification, prescription refill orders or indexing inbound documents.
The team at Qualtrics compiled a list of the 100 most popular uses of AI with data on how these categories changed in popularity from 2024 to 2025. Among this huge list, we can see some patterns emerge. The most popular use for AI in 2025 is for personal and professional support. Use in this category nearly doubled from 2024 to 2025. People use AI to organize their lives, manage their time and create schedules, prepare for job interviews, plan their workouts, and even manage parenting and emotional situations. Now, some use it to simulate a conversation with deceased loved ones or as a coach to improve confidence. Overall, we can see that AI used as a therapist or counselor is the most popular use case in 2025. This is somewhat surprising and perhaps concerning since generative AI doesn’t actually think or empathize as a human. It’s a predictive text model with responses based on probability. Even so, it seems many users find it helpful to reflect and sort through their thoughts and feelings with the help of AI.
Ooma’s collection of data breach facts and statistics exposes the human element of these cyberattacks. According to their graphic, 55% of data breaches were targeted malicious attacks by humans, while only 22% were due to human error, and 23% were due to system failure. Studies show that Microsoft Office applications suffered 69.1% of app attacks between 2021 and 2023. The software usually became vulnerable after employees clicked suspicious links or opened malicious attachments.
The team at Ooma demonstrates the impact that advancing technology and infrastructure have had on internet speeds over time. They’ve shown us the average speed across the nation each year since the internet was available to the public. These changing speeds reflect the use of different technologies, including dial-up modems, cable, DSL, fiber optics, and wireless technology. The introduction of each over time boosted internet speeds.
The AI revolution is already well underway, and the market for IT professionals is rapidly changing to reflect this. The majority of business leaders have identified AI skill gaps as needing to be urgently addressed and have claimed that they won’t hire employees without the necessary AI literacy. Prompt engineering is one of the most important skills to meet this requirement. It involves structuring the instructions that are fed to generative AI in a way that is clear, concise, and easily followed. Multiple iterations of a task can be avoided if prompt engineering is performed effectively.
Science fiction has long imagined futuristic technology, often decades or even centuries before it became real. A new graphic from AIPRM highlights just how accurately sci-fi creators predicted groundbreaking innovations. The chart showcases some stunning insights by tracking the time between a technology’s first fictional mention and its real-world development.
The team at AIPRM showcased the surprisingly long history of artificial intelligence in an illustrated timeline of AI technology development. The chart shows that so many previous inventions, theories, and ideas were necessary to create the accessible AI we have today. The graphic displays the progress of computing and AI in great detail.
Humans are superb innovators that have used technology to refine all aspects of life, but the thing that truly defines humans is our ability to communicate with each other. It seems that no other species is as social as humans, so it comes as no surprise that some of our most impactful inventions have helped us refine our communications. We can see this in full detail through this timeline created by the team at Ooma.
Internet access is a normal part of life for most modern people. But as we can see from the team at Ooma, not all connections are equal. Some cities don’t have nearly as many households with Internet connection as others. You can take a deep dive into Ooma’s infographic to see the percentage of households in these cities that have Internet access as well as further details and a full list of cities that made the list.
There can be up to thousands of component parts that make up some of the most common consumer goods we use everyday. For example, a dryer is made up of over 125 parts and cars can exceed over 30,000 individual parts. Engineers are responsible for finding and selecting these parts as they are designing a good.
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