When artificial intelligence (AI) technologies first debuted, they didn't live up to the hype -- not even close -- and left many early adopters disappointed. But that was then and this is now, and AI is finally catching the attention of more end users, changing the core value proposition of physical and electronic security. "Many early AI video solutions did disappoint customers with perspective limitations and false alarms," says Jason Burrows, sales director, IDIS America. "But today, a single camera can provide highly accurate analysis from more angles than ever before and deliver high-performance, even in challenging light conditions." He points out that, initially, most AI was offered as software or modules within VMS, which oftentimes entailed expensive integration services, software licenses and maintenance agreements.

Too many technologist, in every generation of technology, state that management need to think more like programmers. Rather, the technology professionals need to learn to speak to management. "The Business Case for AI," by Kavita Ganesan, PhD, is a good overview for managers wishing to understand and control the complexities of implementing artificial intelligence (AI) systems in businesses. Usually that means the books just aren't that good. However, sometimes, especially in non-fiction, it means that publishers are clueless about the subject and hesitant to work with people who aren't "names."

Too many technologist, in every generation of technology, state that management need to think more like programmers. Rather, the technology professionals need to learn to speak to management. "The Business Case for AI," by Kavita Ganesan, PhD, is a good overview for managers wishing to understand and control the complexities of implementing artificial intelligence (AI) systems in businesses. Usually that means the books just aren't that good. However, sometimes, especially in non-fiction, it means that publishers are clueless about the subject and hesitant to work with people who aren't "names."

The Covid-19 pandemic has accelerated the development of artificial intelligence across the globe. Organizations are using artificial intelligence to increase the productivity of remote workers, enhance the virtual shopping experience, drive the digital transformation process and speed up the development of important drugs to end this on-going pandemic. Real artificial intelligence is creating value by making humans more efficient, not redundant. Specialization: Narrow AI, Specialists, Scientists, Learned Ignoramus, which divides, specializes, and thinks in special categories. Interdisciplinarity is about the interactions between specialised fields and cooperation among special disciplines to solve a specific problem.

Artificial intelligence has made significant strides in recent years, but modern AI techniques remain limited, a panel of MIT professors and the director of the MIT-IBM Watson AI Lab said during a webinar this week. Neural networks can perform specific, well-defined tasks but they struggle in real-world situations that go beyond pattern recognition and present obstacles like limited data, reliance on self-training, and answering questions like "why" and "how" versus "what," the panel said. The future of AI depends on enabling AI systems to do something once considered impossible: Learn by demonstrating flexibility, some semblance of reasoning, and/or by transferring knowledge from one set of tasks to another, the group said. The panel discussion was moderated by David Schubmehl, a research director at IDC, and it began with a question he posed asking about the current limitations of AI and machine learning. "The striking success right now in particular, in machine learning, is in problems that require interpretation of signals--images, speech and language," said panelist Leslie Kaelbling, a computer science and engineering professor at MIT.

See it in action--and saving money--in field service. Artificial intelligence (AI) has never felt like a human-friendly term. The very notion of intelligence that is artificial is a little, well … unsettling. Will machines ultimately replace us? As we gather at Mobile World Congress, in part to explore the ultimate reach of AI in an increasingly mobile business world, one thing is clear: AI and machine learning technologies won't replace humans in the enterprise, but they're going to change the game considerably.