- November 30, 2018
- Posted by: admin
- Category: Uncategorized
Top AI trends- The next year will see some AI technologies reach mass market adoption, predicts Ecosystm, a technology research firm
In a new report on 2019 tech trends, the disruptive technology research and advisory firm says 2019 will also be the year AI starts to impact employee and customer experiences, from the board to the living room.
“Businesses that make smart investments in AI will be ready to create more personal, more effective, and easier customer experiences in order to drive top and bottom line growth,” writes Tim Sheedy, principal adviser at Ecosystm, and author of the report.
Sheedy shares with CIO New Zealand his top five AI trends for the coming year and how CIOs, their teams and C-suite colleagues can prepare for the changes ahead:
1. Machine learning and IoT sensor analytics will drive AI growth
AI is not a single market – it is made up of many components – often thought of as the building blocks of intelligent applications, explains Sheedy.
The Global Ecosystm AI Study, from which the five trends were taken, shows that growth in AI over the next 12 months will come from machine learning (ML), he states. This is because this capability is applied to a range of problems and challenges across the organisation.
IoT Sensor Analytics will also see strong growth, he says, due to the rise in IoT implementations and subsequent exponential growth of data coming off these sensors, plus the desire for organizations to do something intelligent or different with this data. Robotic process automation (RPA) will continue to grow, as will chatbots and virtual assistants.
He thus advises organizations to build AI competency centres with machine learning at their core. A key skill is the ability to help business leaders understand how ML can help them such as where to apply it, and where not to.
The competency center staff should be trained not just on technology but on design thinking, customer journey mapping and other customer experience (CX) disciplines to ensure they put improving the customer and/or employee experience (EX) at the core of their ML projects, says Sheedy.
2. Growth in IoT will also fuel growth in AI
Sheedy notes that many organizations are already deploying or have deployed an IoT solution, and with these, sensors that generate large amounts of data.
“While these sensors today are, for the most part, one-way (‘collect and analyze data’), we are getting closer to the point where many of these sensors will be bi-directional (‘sense and respond’), he states.
Thus, businesses will look to AI tools – particularly IoT sensor analytics and ML – to help them learn from that data and respond accordingly.
Examine your own AI and data architectures – will they be able to serve smart endpoints?
Tim Sheedy, Ecosystm
Many deployments will not have time for the data to be sent back to a central database or central ML tool. Some will need the learning system to be closer to the sensor for it to act differently, in constantly or regularly changing environments.
The systems and architectures we have built today will not always work in the constantly-connected, constantly-learning environments of tomorrow, says Sheedy. “Examine your own AI and data architectures – will they be able to serve smart endpoints?”
3. Short-term, AI will create more jobs than it removes
Sheedy cites three major reasons why this will be the case over the next few years.
First, AI is doing a lot of jobs that are not even done by humans. These include analyzing images for trends that humans did not see or looking for correlations in data sets that we didn’t know existed.
Second, even where automation and AI are driving productivity, the majority of organizations are reskilling the affected people – or perhaps to offer a more human service.
Automation and technology-led productivity gains have been happening for over 20 years now, but employment levels have not dropped, he points out.
He sees AI-driven profit being plowed back into businesses and creating more employment opportunities.
Third, organizations have started to hire for skills they will need to make their business smarter with AI. Many of these jobs today are in addition to, not replacing existing resources.
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Article Credit: CW
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