7 Big Artificial Intelligence Trends that are likely to dominate 2019

AI trends 2019

There is no Big Future-centric company today that is not discussing Artificial Intelligence with substantial amount of passion. But of course there is no consensus among the leading folks as to how much this technology is going to impact our daily lives. There is one group which thinks that this new technology will completely transform traditional industries and businesses and there is the other group which criticises that this technology can never be creative and as a result can never be as intelligent as human being. So there is none who is absolutely sure about what the future holds with this technology. And as Elon Musk says that whatever we predict today, after 10 years, it will turn out to be untrue.

So anxiety is a usual thing in the boardrooms while discussing what the future holds. Because it is never always easy to be able to make the most accurate planning that ensures that emerging new technological trends will affect them in a positive way. But whatever may be the planning, the company should be well-prepared for any kind of disruptions.

So, in order to keep ourselves well-prepared for imminent disruptions, let's dive deep into what Artificial Intelligence trends could dominate 2019:

Better Healthcare

It is a well known fact that even in the advanced and highly developed countries, every day, patients suffer avoidable life-changing conditions and considerable number of deaths happen due to lack of right treatment.

Deepmind Healthcare 2019

Folks are beginning to realise that Artificial Intelligence could help clinicians with more accurate analyses, and ultimately get faster treatment to the patients who need it most. And Deepmind's recent demonstration that AI could match world-leading doctors at recommending the correct course of treatment for over 50 eye diseases, just convinced us even more. This is definitely going to disrupt healthcare businesses. And, no doubt, this is just the beginning.

Rising demand for data scientists

The only thing that raised Artificial Intelligence from its death bed is Data and of course increase in computation power. So Data is actually the driving force for every new technology trend that leverages the power of Artificial Intelligence, ranging from making the most accurate predictions to virtual reality to advances in cybersecurity.

Rising demand for data scientists

LinkedIn's Workforce Report for August 2018 suggests that there is a shortage of 151,717 people with data science skills. IBM reports that by 2020, the number of jobs for U.S. data professionals will increase to around 2.7 million.

Those who are capable of handling sizable data sets in preparation for AI implementation will likely be the most sought after. In fact, according to IBM, the fastest-growing roles for data professionals are data scientists and advanced analysts. By 2020, the demand for these roles is projected to increase by 28%.

Automated business and customer interactions

Here, of course, I am referring to Google Duplex Kind of Technology. People are already speculating if this new technology would replace the need for human call centers. This technology is likely to bring consistent client-business communications

Google Duplex AI

On the other hand, businesses that rely on consistent communication with clients are likely to greatly benefit from the introduction of AI in the workplace. AI applications and tools have been used to record conversations between company representatives and clients, providing retrospective feedback and analysis for future reference. For example, AI tools such as Chorus.Ai can automatically record, transcribe and store conversations as well as determine how salespeople perform, which can help make the sales process and conversations more effective.

AI for scientific discovery

DeepMind has already demonstrated how artificial intelligence research can drive and accelerate new scientific discoveries. DeepMind has brought together experts from the fields of structural biology, physics, and machine learning to apply cutting-edge techniques to predict the 3D structure of a protein based solely on its genetic sequence.

Deepmind's AlphaFold builds on years of prior research in using vast genomic data to predict protein structure. The 3D models of proteins that AlphaFold generates are far more accurate than any that have come before—making significant progress on one of the core challenges in biology.

More Robots and Efficient Logistics

Robotic process automation (RPA) is an emerging form of business process automation technology based on the notion of software robots or artificial intelligence (AI) workers.

In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application's graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose.

On the other hand, the one area that's being rapidy disrupted is the supply chain. Supply chains are routine functions, and executives are in search of ways to optimize, better manage and lower the cost of supply chains to make them more efficient. A perfect storm of disruption exists in supply chains that can leverage emerging technologies like robotics, blockchain and AI.

Self driving cars

Self driving cars

Waymo, the leader in this field, has already transformed Chandler, Arizona, the self driving capital in the world. Though they are struggling to reach full autonomy, it is not too far ahead when self-driving car becomes a norm of every car company.

Job Changes

According to the McKinsey Global Institute, we're going to see an unparalleled transition in the world of work: "By 2030, according to the recent McKinsey Global Institute report, Jobs lost, jobs gained: Workforce transitions in a time of automation, as many as 375 million workers — or roughly 14 percent of the global workforce — may need to switch occupational categories as digitization, automation and advances in artificial intelligence disrupt the world of work." Job changes are inevitable, and as opposed to retraining, I believe companies must begin to institute continuous training programs to ensure talent is upskilled and ready to take on more advanced work.






Author:


Ratul Doley
Ratul Doley
Entrepreneur and AI researcher. Currently learning and working on Unsupervised learning and Data Clustering. Professional Android app developer and designer. Updated Nov 15, 2018