Technologies such as machine learning and artificial intelligence saw a prominent upswing in 2018. The effect went beyond software industry and the internet. It went on to impact industries such as healthcare, manufacturing, agriculture and legal.

In 2019, the inclination towards AI and ML based technologies is likely to be on a high. Prospects for AI are exceedingly positive for the future. With top companies such as Apple, Google and Microsoft investing a fortune in AI R&D, the technology will itch closer than ever to the end consumer.

Let’s take a look at a few top trends to look out for in AI for 2019

  • Greater emphasis on AI enabled chips

Specialized processors complementing the CPU form an important part of operation of AI. This is unlike other conventional software.CPU alone may not be too helpful for training an AI model. Extra hardware is essentially required such that complicated mathematical calculations are performed in a minimum time. Tasks such as facial recognition and object detection are then eased to a significant extent.

In 2019, top chip manufacturers including Qualcomm and Intel will come up with chips that work towards AI based applications to execute quicker. Parameters such as speech recognition, language processing, and computer vision will optimize the chips so as to bring out an optimum performance. The chips will find abundant applications across a range of industries, including healthcare and retail. They’d come across as an all round performance booster by rendering intelligence to the end user.

  • Connecting AI and IoT at the edge

In 2019, IoT and AI are will converge to a greater extent, right at the edge of computing layer. A vast majority of models that are trained in the public cloud will find deployment at the edge.For performing equipment’s predictive maintenance and root cause analysis, Industrial IoT comes across as the most prominent tool for AI.

In 2019, fine ML models centred upon in-depth neural networks will be optimized in a manner that lets them operate from the edge. Tasks such as speech synthesis, unstructured data, video frames and time series data, as generated from cameras, sensors and microphones will be managed by these ML models.

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  • Visual search to become more advanced.

Visual search is not a new trend, but is gaining prominence by the day and is achieving more advancement with each passing day. Pinterest had last year bought out the Pinterest lens into play. A user can scan an object of preference by using the lens, and Pinterest lens, the service then searches for similar objects across Pinterest.

With tech giants Microsoft and Google too coming up with fresh options for image search, visual search is now a trend to stay.Visual searches are nowadays more precise and with the reference object that a user has, the search results are likely to have close to 100% accuracy.The search finds applications across a variety of industries, such as e-commerce.

  • Smarter virtual assistants and chat bots

In near future, bots and virtual assistants are likely to grow in smartness. Answering simple questions and performing online tasks will be eased by their presence.It not just frees employees off the work of responding to user requests, it makes the work faster as well as responses can be obtained close to real time. This in turn ensures an enhanced user experience as the responses are more accurate.

A few of the assignments that bots can accomplish with ease include easing shopping, taking orders and tracking their status. Alexa Shopping is an example of virtual helpers.

  • Logistics made more efficient.

As of 2019, it is now possible to operate logistic distribution stores spread across a significant area by a skeleton crew alone. These logistics solutions are presently being delivered by organizations such as Kiva systems and Amazon Robotics. They provide logistic solutions for big box retailers, the kind that was unprecedented earlier.

In future, warehouses will be different from the kind that they presently are. Human packers will be replaced by robots with a higher capability, who can work 24/7. They would be able to operate without use of lightning.

  • Content generation through AI

A number of brands, such as Hearst and CBS are already putting AI to avail in order to generate content. Wibbitz has enabled a SaaS platform that transforms written content to videos. This is a significant application of AI for content generation, and now allows publishers to generate content in just a matter of minutes.

Another example of the same is a tool called Wordsmith which is developed by Automated Insights. The tool is currently being used by the Associated Press, and allows the website to come up with natural news stories that are based upon data for earnings. Video generation and use of flowing language are two of the top applications of AI for content generation.