Key factors driving AI in 2020 - TechHQ

The Artificial Intelligence (AI) that we first knew in the Science Fiction (Sci-Fi) movies of the 1980s was portrayed as fanciful magic, where computers would talk to us like humans and be able to understand our needs, hopes and perhaps even our emotional desires. The trouble, a quarter-century ago, was that the IT industry was conceptually capable of building the logic constructs and computation engines that would deliver AI, but even the smartest techies were held back by several factors… not all of which their fault. Today's AI has changed because the developers building it have produced vastly more sophisticated algorithms than those that were driving initial forays into this field. Secondly and crucially, our new AI systems have also benefitted from access to massively widened datasets that were never available before the birth of the Internet and cloud data centers. Thirdly, computers have quite simply become more powerful. They have become faster at processing (with some boosted by the additional charge offered by Graphics Processing Unit technology), bigger in terms of their data storage capacity and more intelligently internetworked into clusters of computing power across distributed networks.