Electric utilities in the United States are a major source of CO2 – they created 1.55 billion metric tons of it in 2020. This sector vies only with transportation in producing the most pollution on the planet. And according to the US Energy Information Agency, consumption is expected to grow by 50% by the year 2050.
The notion of Artificial Intelligence has pervaded both the business world and popular culture. And, while Hollywood often portrays AI in a future world of smart robots with super-human characteristics, the truth is that AI technologies are already at work fueling important changes in the way business is conducted every day.
Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
How will humanity survive the AI revolution? Simple—we become superhuman. That is the subject of our new AIIM On Air interview with author and researcher Alex Bates.
The notion of Artificial Intelligence has pervaded both the info and tech worlds. Indeed, it's difficult to have a discussion or a webinar without the topics of AI and Robotic Process Automation coming up. And while it might be tempting to dismiss the implications as something from a Hollywood movie of a future world populated by smart robots with super-human characteristics, the truth is that these technologies are already at work today, fueling important changes in the way we do business.
Growing up, my parents taught me that there are some questions that aren’t appropriate to ask. Generally, it’s safe to avoid asking people their age, their salary, their weight, their politics, etc. Some questions can make the people being asked feel uncomfortable and so should be avoided.
As the COVID-19 pandemic continues to accelerate, there are some innovative efforts to minimize its impact. In one such approach, a multidisciplinary group of computer scientists, mathematicians, and epidemiologists at the Big Data Institute at Oxford University have developed a mathematical model instantiated in a mobile application that traces contact. Those involved in the project believe it's "..possible to stop the epidemic…if contact tracing is sufficiently fast, sufficiently efficient, and happens at scale." Typically, contact tracing is the most effective way to contain an outbreak. However, with a virus like COVID-19, that's preponderantly transmitted by asymptomatic patients, "classical contact tracing will not be enough to achieve the speed and efficiency needed, but it could be achieved by a contact tracing mobile app if used by a sufficiently large proportion of the population."