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Published on : Sep 29, 2017

The founding partner of a San Francisco-headquartered venture capital fund who coined the term smart enterprise has furnished his interpretation that does not have a clear definition. It is explained to be the one where knowledge workers are facilitated to process and analyze massive amounts of heterogeneous data and collaborate and monitor things.

Further, a smart enterprise is also one that is powered by digital technologies. From the routine Social, Mobility, Analytics and Cloud, smart enterprises have moved on to Internet of Things and are also in talks for the adoption of newer technologies such as robotics, 3D printing, drones, blockchain, and augmented and virtual reality.

As explained by an industry expert, blockchain is second only to artificial intelligence, the buzzword that has taken the digital world by storm.

Contrary to Popular perception, Artificial Intelligence Still Lacks Widespread Utility

Artificial intelligence, or AI mainly has three broad drivers: increasingly sophisticated machine learning and deep learning algorithms, massive amounts of data for the algorithms can be coded and trained on, and availability of increased computing power- graphic processing units, central processing units, and Tensor processing units.

However, AI caters to narrow specific areas that include categories such as AI chatbots, AI personal and home assistants. Some of the examples of narrow applications of AI are Apple Inc.’s Siri, Samsumg Electronics Co. Ltd’s Bixby, Amazon Inc.’s Alexa, Microsoft Corp.’s Cortana, and Google’s Home.

Some other manifestations of narrow AI include driverless cars and trucks. This infers that while artificial neural networks are employed in deep learning and are modelled as the human brain, they do not behave like them.