5 Most Promising Artificial Intelligence Trends To Watch In 2019

As a matter of fact, an expansive population worldwide was not very serious with artificial intelligence (AI). The reasons were: the so-called extravagant promises, frustrating disappointments, automation of jobs. But then a confluence of developments in AI started generating positive results and now the same consumers are taking advantage of the new technology in personal lives as well as in business.

AI actually has the potential to completely change the manner companies do business. Further with more technological developments, an additional number of companies, in 2019, will be able to access and implement this life-changing technology. Already, companies like Amazon, Microsoft and Google are leading the pack in AI.

So with AI as a mega trend in technology, let’s find the top 5 promising innovations in Artificial Intelligence in 2019:

1. Advanced AI Assistants

Just like how enterprises are adopting AI, domestic consumers like you and me are also witnessing the democratization of AI into our daily lives. The introduction of Amazon’s Alexa and Apple’s Siri and other devices have simplified our basic activities like searching for information online, paying bills or even reading mundane emails.

According to a study conducted by Adobe Analytics consumers are embracing voice services with an open mind. In fact, 71 percent of smart-speaker owners reported using them at least daily, while 44 percent said they used them multiple times a day. Come 2019, the number of users will definitely increase with the improvement in technology and the adoption of more languages.

AI assistants will soon be able to provide more personalized experiences as they become more superior at recognizing different users’ voices. Thus, instead of simply talking to your AI home device or your mobile, I can forecast in the near future you’ll be able to speak to your TV, refrigerator, car and even command your home’s electricity functions.

2. AI-Powered Conversational Search To Go Mainstream

Advanced conversational AI-Powered Search will become mainstream as users start using the AI-powered assistants more frequently and in new ways.

In traditional, conversation-based search, a person speaks a question, a voice assistant provides a response or a list of responses. Also, the voice assistant directs the person to the most relevant information. For example:

Searcher: “Can you tell me car dealerships nearby?”

Voice Assistant: “There are two car dealerships within five miles from here. St. Michael’s Luxury Cars and Hot Wheels SUVs.”

In this example, the traditional voice serves as a call-and-response mechanism that directs users to exactly what they want to know when they had started searching: a car dealership to his/her nearby location. Once the searcher calls or clicks on the dealership link, the search engine ceases to be of any use to the searcher. But in 2019, search engines will add more value from the beginning of the search through the purchase process and beyond, like into the customer service, sale or resale.

Let’s continue with the car dealership example, to testify how conversational search will be a game-changer for consumers and businesses. Here’s how it will work: Let’s assume a customer named Joseph is a first-time car buyer, and as an average buyer doesn’t know which models and features are suitable for him. His first question might be something along the lines of “Where can I buy a car for less than $10,000?

A conversational Search Engine, powered by AI will respond by questions like, say:

• Would you like me to help you find a car?
• What is your concern about the car’s mileage?
• What is your favorite color?
• Are you interested in buying hybrid cars?

Now Joseph will be able to narrow down the solutions and get the exact search results he is looking for with his car selection.

3. Advancement of Capsule Networks

The Capsule Networks (CapsNets) is not a new invention. The theory behind it was presented by Geoffrey Hinton in 2011, but the idea gained more traction recently as it emerged as one of the top technology trends.

The architecture is based on the concept which has proven to give promising results in image recognition while using much less training data.

Data scientists are confident that CapsNets can evolve even more in 2019 and will be used more frequently in various computer vision tasks.

To learn in more detail about capsule network, check out this explanatory video by Aurélian Géron, author of the book Hands-on Machine Learning.

4. AI For Recruiting

For many businesses, recruiting quality talent is one of the most stressful and time-consuming tools. However, with the improvement in artificial intelligence technology, AI-powered tools will be an interesting trend to watch out for in 2019.

According to Katrina Kibben of Randstad, “Any area of recruiting where distinct inputs and outputs occur – like screening, sourcing & assessments – will largely become automated.”

For example,
Mya, which stands for “My Recruiting Assistant”, is a conversational AI chatbot which uses both natural language understanding and natural language generation.

It can communicate with candidates via email text or Skype. Mya can also shortlist qualified candidates based on their rich profiles or even reject a candidate if the HR decides to pass on his/her application.

The future of work is surely transforming with these emerging HR tools powered by AI. These improvements will make hiring optimized and efficient in 2019.

5. Democratization of AI

While the majority of the previous use of artificial intelligence was majorly done by the military, academia and the tech giants like Amazon, Google, Facebook or Netflix, we are now venturing into the process of adopting algorithms into the business world.

Now that several open-source projects and companies are offering their proprietary AI solutions at a price accessible to small and medium enterprises, 2019 marks the democratization of once elusive artificial intelligence technology into the wider market.

In most instances, organizations can begin by adopting simple algorithms, however, over time, they’ll begin to discover additional scenarios for the utilization of AI.

2019 can also the year within which the sensible application of artificial intelligence, like e-commerce recommendation engines, can become a reality available to a larger number of market players.

Conclusion

As a future value factor businesses have embraced artificial intelligence. However, if AI has to make a disruptive impact in organizations it has to be trustworthy. Till then, only time will tell if artificial intelligence will be able to augment human understanding or not.