Technology is undoubtedly an integral part of most industries today. In order to adequately prepare students for a future that is sure to incorporate a mixed environment of human and artificial intelligence (AI) technology, schools must begin to mirror the same environment one can expect once out in the workforce.
Remote education systems, in addition to an increase in the demand for cloud technologies, is changing the way educational curriculum is delivered. A variety of technology platforms and microservices are rapidly evolving as key business models in the educational sector. Read more +
While artificial intelligence or “smart” technology will soon be prevalent in a variety of industries, it is sure to revolutionize the healthcare industry in particular; an industry that will impact us all in one way or another. Whether as providers or patients we are sure to see transformation of the design and insight into treatment plans, management of medications, as well as improving efficiencies and assisting in repetitive work duties. Read more +
Botnets are robot networks made up of computers, or any device with network connectivity (computers, security cameras, smart TV’s, smart thermostats, etc.). Botnets have a long history in technology, as they have been around since the early days of the internet. While commonly perceived to be malicious in intent (and rightfully so), botnets do not exclusively perform destructive commands. Read more +
With the development and integration of artificial intelligence (AI) into our daily lives, ethics and bias quickly become main concerns. Both ethics and bias also make implementing artificial intelligence in a practical sense that more complicated. Whose definition of what is ethical are corporations programming their AI systems to default to? It’s highly unlikely that there will be a standard answer to this question across companies, industries and countries; especially considering the lack of diversity in the AI design world. Read more +
Machine Learning, artificial intelligence and data mining may seem like abstract concepts that have little to do with the day to day functions of your small to medium sized business. But Gartner has officially added machine learning (ML) to their Hype Cycle for Emerging Technologies. This means there is enough research, resources and momentum behind machine learning that it could potentially redefine buyer, supplier and customer relationships for any business. Read more +