6 AI Technologies that will Dominate 2019

AI technologies, machine learning, and automation are poised to recast not only the modern enterprise but the world as we know it. By becoming early adopters companies have started making the paradigm shift through synergies which are intended to alter the way enterprises deal with their customers. Thought leaders are redefining the computerized data management system by integrating the advanced predictive analysis that foretells the impending trends by conceiving actionable heights. In this post, we are going to share the top 6 AI technologies that will dominate 2019. Do have a read!

Irrespective of the fact that you’re a tech fanatic, always curious to learn about the latest devices or a laid-back “average” techie, you can’t help but consider understanding the technological advancements especially the AI technologies. After closely keeping tracks on the market statistics and going through tweets and quotations of the CXOs on futuristic trends for almost a year, I am looking forward to the technology trends that will be prevalent in 2019.

As a tech blogger, I bring to the table my perspective on these best of the breed technologies which can be leveraged upon to enhance business grade, strengthen customer relationship and boost ROI as a whole. I have already covered a popular blog post on 10 predictions on artificial intelligence; in this post, I am going to share the promising 10 AI technologies which are going to dominate 2019.

So what will the biggest AI trends of 2018, and how will our lives change, accordingly?

6 breakthrough AI technologies going to rule 2019

1. Natural Language Processing

As per Wikipedia,

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

Let me simplify this AI technology –

The conversations between customers and companies contain a significant number of breadcrumbs that hint at the major reasons for customers’ dissatisfaction. Sometimes, it is the interaction itself that causes discontentment. Natural language processing is based on machine learning and helps companies understand their consumers’ intent and preferences by transcribing and analyzing customer call recordings. AI engineers also deploy chatbots and automated virtual agents to provide an immediate response to their queries. Significant NLP tasks include:

• Speech recognition
• Question answering
• Reputation monitoring
• Sentiment analysis
• Coreference resolution
• Sense disambiguation
• Event extraction

2. Deep Learning

The potential for deep learning lies in its complexity. Our future-proof deep learning as a service enables the advanced AI more accessible for users everywhere.

Inspired by the way the human brain works, the AI technologies programmers have evolved the machine learning technology that is inquisitive and analyze the image-led interactions so as to clearly understand a user’s intent and preferences. The software then curates content and endorses actions based on its deep understanding. The deep learning solutioning has helped digital healthcare service providers greatly. They have seamlessly adopted big data analytics environment to provide several AI applications right from ePrescription, clinical decision support and imaging analytics to security and precision medicine to their clients.

3. Chatbot

Irrespective of what Elon Musk has to say on these futuristic trends that AI or people debating on FB’s AI being shut down, technology is never going to rule the humans. We will always have the complete authority on machines no matter how smartly they have evolved. Now putting behind all the speculations, chatbot is inevitably one of the top 10 AI technologies of 2018 and is going to be commonplace by 2019.

Chatbots are programmed to automatically respond to the received messages. The smart chatbots respond differently to queries put forth by users and first-time visitors by determining certain keywords. The AI engineers leverage machine learning to enable chatbots to respond accurately and in real time, thus eliminating human presence.

Chatbots leverage chat mediums like SMS text, website chat windows and social messaging services across platforms like Facebook and Twitter to receive and respond to messages.

4. Virtual Agents

Intelligent virtual assistant services are carefully designed to address solutions across various industries including healthcare, IT, BPO, online gaming, staffing, retail, insurance and Government contact centers to name a few. An AI-enabled virtual agent is capable of playing the role of a conversational IVR to handle thousands of phone inquiries annually related to lost ID cards, insurance eligibility etc. It can build custom call flows, integrated with proprietary systems to customize each caller’s experience. Such live agent assistant can cut off the helpdesk’s call handling time and eliminate the need for members to repeat information.

Our intelligent virtual agent automates phone surveys by collecting real-time customer feedback and helps improve clinical care. It surveys patients following home health visits. The patient receives an automated call asking about the feedback. It then records the patients’ comments which is shared real-time and used to counsel nurses to improve performance.

5. AI permeation

The future-proof artificial intelligence (AI), largely based on the machine learning algorithms, is now being injected into almost every industry spectrum. Instead of knuckling down one goal, such as mastering chess or adopting the human-like behavior, the digital transformation service providers have started to expand artificial intelligence solutions in almost every new aspect. This technology is only going to accelerate in 2019.

6. Machine Learning Platforms

Thanks to the advent of the artificial intelligence technology, computers can now learn and can be incredibly smart. Machine learning is a prominent branch of AI, whose goal is to develop techniques through which computers can learn and adapt human-like intelligence. Machine learning is now being disrupted for prediction and classification.

To conclude

It’s difficult to affirm how fast these AI technologies will manifest in 2019, or what kinds of these AI inceptions will dictate their disruption, but I’m positive that we will be very soon witnessing a digital transformation across all industry spectrums as artificial intelligence along with other technologies including blockchain, big data and Internet of Things develop.

Regardless of how you feel about these future-proof technologies, I think we should be excited and have a positive feeling about the new advancements and infrastructure that await us in the near future. Do let us know your take on this!