Your Business & The Digital Space

The fundamentals of establishing (and maintaining) a successful business really boils down to two specific things: the product/service you offer and customer service. Does your organization offer something unique? If not, do you at least offer said products/services in a unique way that helps you stand out? What about your engagement with your clientele (it’s all in the approach!)? The next element that organizations should be mindful of is how they are moving in this technological age, and what ensuring they have a clear understanding of what/how different digital elements work.

Artifical intelligence, machine learning and deep learning are terms that get used a lot when discussing technology in the digital marketplace, and knowing what they mean and how they differ is important. ‘Artificial intelligence, a broad term for any capability of computers or technologies to simulate human thought or brain activity has continued to progress from the early days of the personal computer, to the age of the internet, and finally to the age of cloud computing, virtualization and sophisticated networks. Artificial intelligence has grown and expanded in many ways as a key technology industry. One of the milestones in artificial intelligence is the emergence and adoption of machine learning, a particular approach to achieving artificial intelligence goals.

Machine learning uses sophisticated algorithms and programs to help computer software to get better at making certain sets of decisions in a performance environment. Instead of simply programming a computer to do one set of things over and over again, as was the case with the hand-coded programs of the 1970s and 1980s, machine learning starts to use heuristics, behavior modeling and other types of projections to allow the technology to improve its decision-making and evolve over time. Machine learning has been applied to fighting spam email, implementing artificial intelligence personalities like IBM Watson, and achieving artificial intelligence goals in other ways.

Deep learning, in turn, builds on machine learning. Experts describe deep learning as the use of algorithms to drive high-level abstractions, such as the use of artificial neural networks to train technologies on tasks. Deep learning takes machine learning to the next level by trying to model actual human brain activity and apply that to artificial decision-making or other cognitive work. Deep learning has been demonstrated through examples such as cutting-edge supply chain optimization programs, laboratory equipment programs and other types of innovations such as the generative adversarial network, where two opposing networks, a generative and discriminative network, work against each other to model human thought processes of discrimination. This particular type of deep learning can be applied to image processing and other uses.’ (source: techopedia.com)

Technology is multi faceted, but the more you learn about how things are changing and growing (and ultimately how things work together), the better off your organization will be. At NuEdge Communications we pride ourselves on staying up to date in this fast paced and ever changing technological world, in order to provide our clients with the best quality professional service possible.


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