satyamkapoor

I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First. ...

Full Bio 

I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First.

Success story of Haptik
375 days ago

Who is afraid of automation?
375 days ago

What's happening in AI, Blockchain & IoT
376 days ago

3 million at risk from the rise of robots
376 days ago

5 ways Machine Learning can save your company from a security breach
376 days ago

Google Course for IT beginners, certificate in 8 months: Enrollment starts on Coursera today, check details
31509 views

7 of the best chatbot building plaftorms out there
18270 views

Could your job be taken over by Artificial Intelligence?
16968 views

IIT Madras launches Winter Course on Machine Intelligence and Brain Research
16596 views

You can now train custom machine learning models without coding using Google's AutoML
13809 views

Deloitte experts predict Machine Learning and AR boom

By satyamkapoor |Email | Jan 18, 2018 | 9945 Views

Here is an interesting finding that stands out in Deloitte UK's TMT Predictions 2018 report.

"The impact of machine learning applications - from machine vision to voice recognition " will be massively enhanced via the deployment of 800,000 machine learning centric chips in data centres this year " roughly quadruple the volume in 2016. And one billion smartphone users will create augmented reality (AR) content in 2018 globally, with half of UK smartphone users doing so."

One of the core drivers in the use of machine learning will be the surge in deployment of Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs). They will both represent somewhere between a  quarter and a third of all machine learning chips deployed this year.

David Halstead, lead partner for technology at Deloitte, commented: "The rise in use of FPGAs and ASICs should dramatically increase the use of machine learning, which has previously been reliant on GPU chips (graphics processing units), which may be slower or more power hungry than FPGAs and ASICs."

He also said that it is not just the chips that are getting better. Factors like data reduction, training and automation will make machine learning cheaper, easier and faster for businesses to adopt and implement in a range of sectors. He expects see to machine learning become mainstream in 2018, however there will still be lot of room for progress in the coming years.

AR: on the cusp of reality

Deloitte predicts that more than a billion smartphone users globally will create augmented reality (AR) content at least once in 2018, with at least 300 million doing so monthly. In the UK, half of all smartphone users will create AR content this year.

A key catalyst of the growth in AR content available is the availability of development platforms that reduce the technical skill level required to create AR experiences: more junior developers can now create AR.

Tens of thousands of apps incorporating AR capability will launch this year, and by the end of 2018, billions of smartphone users will have downloaded an app or an update to an existing app that incorporates AR content creation capability.

Julian Rae, TMT Partner at Deloitte in Cambridge, said: "2018 is likely to be a year of significant progress and experimentation for AR content created on a smartphone. Not only will the quantity of premium AR devices increase, but there will be tens of thousands of AR apps available for consumers and businesses."

Recent technological improvements in the latest smartphone models, including enhanced cameras and software, will be the key drivers for the growth in AR adoption this year.

AR-enhanced content is likely to be more shared, and when shared, more "liked": this will expedite consumer adoption and usage

We will also see smartphone created AR content become increasingly photorealistic. In fact, viewers of this AR content may perceive it to be real when they view it on smartphone - and it could often be shared and recorded as a video file.

In the medium term, we will see AR being increasingly used by enterprise, businesses and the government for a variety of applications, with technical support, instruction manuals and public service announcements all some of the possible cases of AR content.

Rae added: "We expect AR capability will be a key differentiator for certain genres of apps, such as social networks, messaging, shopping and games; it will be an important driver of future smartphone upgrades. Enterprises should experiment enthusiastically but pragmatically with possible applications, but should be careful, however, not to start off with AR as the answer before looking for the solutions it could address."

Source: HOB