How AI deep learning is transforming industrial manufacturing

Artificial intelligence (AI) has been portrayed as a technology that can revolutionise the industrial manufacturing sector. The sentiment is somewhat valid, but the scenario is complex. AI in industrial manufacturing is a collection of use cases at different phases of the manufacturing process.

According to the latest worldwide market study by ABI Research, the total installed base of AI-enabled devices in industrial manufacturing will reach 15.4 million in 2024 -- with a CAGR of 64.8 percent from 2019 to...

By David H. Deans, 25 October 2019, 0 comments. Categories: Industry, IoT, Machine Learning, Research.

How deep learning is set to improve machine vision in factories

Factory automation is evolving, once again. Machine vision technology remains popular in the manufacturing environment, due to its proven track record of results. However, the introduction of artificial intelligence (AI) technology and machine learning applications will transform many conventional factories.

The emergence of deep learning apps creates expanded capabilities and flexibility, leading to more cost efficiency and higher production yield. Deep learning-based machine vision techniques within smart...

By David H. Deans, 24 January 2019, 0 comments. Categories: Industry, Infrastructure, M2M, Machine Learning.

How applications for robotics technologies are gaining momentum

Manufacturers have traditionally been considered the primary drivers of new robot technology investment. Robots are now infiltrating other business sectors. The robotics industry gained new momentum in 2017 with total venture capital (VC) investment reaching $2.7 billion, according to the latest worldwide market study by ABI Research.

"While the growth in investment from 2016 to 2017, at 23.2 percent, slowed from growth between 2015 and 2016, this was affected by applying a narrower understanding of robotics, leaving...

By David H. Deans, 09 August 2018, 2 comments. Categories: Apps, IoT, Machine Learning.

How telcos can win and retain customers with analytics

In the shifting telecommunications landscape, identifying competitors is more difficult than it used to be. Telecommunications companies (telcos) are no longer just competing among themselves for customers – they must now fend off challenges from device manufacturers and over-the-top (OTT) services running on their network infrastructure, as well as popular digital service providers such as Amazon, Netflix, and Spotify.

Price is no longer an effective differentiator. Years of competing on cost in...

By Mel Prescott, 22 June 2018, 0 comments. Categories: Big Data, Customer Service, Machine Learning, Operators.

How AI will advance the mobile messaging app evolution

There has been a significant evolution in the variety of use cases for mobile Application to Person (A2P) messaging. Historically, A2P was used for alerts and as a billing mechanism and carrier for simple content and services, both for one-off downloads or actions (e.g. voting) and for recurring payments.

The latter use case has declined in the past 5 years, due to a combination of the transition to an app-based economy, largely driven by card billing and by regulatory action -- in markets such as the U.S....

By David H. Deans, 05 June 2018, 0 comments. Categories: Apps, Machine Learning, Mobile, OTT Services.

How collaborative robotics revenue will reach $1.23 billion

While we continue to see reports about the growing fear of job loss due to robotics in the workplace, more industry analyst reports shed light on the apparent upside opportunities for vendors. ABI Research identified 'collaborative robotics' as one of the fastest growing market segments.

Small-to-Medium Businesses (SMBs) are driving the increased demand for these collaborative robots, as 'cobots' provide solutions that allow for a more flexible kind of manufacturing that makes no assumptions...

By David H. Deans, 02 March 2018, 0 comments. Categories: Disruption, Machine Learning.

Why ZTE believes AI automation will play a crucial role in the telecoms industry

MWC ZTE has a firm belief that, in the telecoms industry, AI automation has a crucial role to play - and that impending 5G networks will bank very much on the capabilities of AI for operational support as well as management of infrastructure and business functions.

The company also believes that ‘AI for operations’ represents a bigger opportunity for providers of telecom services to occupy a top position in the future market. 

These beliefs are at the root of the release of a whitepaper...

By Telecoms, 01 March 2018, 0 comments. Categories: Machine Learning, Networks, Operators.

The future of fintech platforms: Innovation and disruption to come

The latest global fintech market study shows that the insurance segment will drive revenues for platform providers, which is the largest proportion of revenues in 2018. This is based on the vast potential for digital distribution within the traditional insurer industry.

That said, wealth management will also grow rapidly, based on the increasing popularity of intelligent software agents called 'robo-advisors'. As the underlying technology improves, roboadvisors will become increasingly autonomous.

Roboadvisor...

By David H. Deans, 17 January 2018, 0 comments. Categories: Consumers, Content, Customer Service, Machine Learning.

How virtual assistant apps are being adopted by telecom providers

More telecom service providers will invest in emerging technologies that enable them to improve operational productivity via automation, and introduce new capabilities for their customers. Virtual assistant applications are emerging, as telcos start to deploy artificial intelligence (AI) and machine learning (ML).

While the telecom network operators are prioritizing these virtual assistants primarily to improve customer engagements and consequently reduce churn rates, they are also positioning themselves to...

By David H. Deans, 04 January 2018, 0 comments. Categories: Machine Learning, Operators.

Meet the ‘telcobots’ – who can save their operator masters billions and enhance customer engagement

ABI Research's new report has projected that telcos can save up to $1.2 billion on customer care management by 2022 by turning to ‘telcobots’ – or rather, telco virtual assistants.

The report, titled “Artificial Intelligence in Telecom Networks”, said that an increasing number of telcos are turning to artificial intelligence to enhance customer engagement and subsequently cut down churn rates. On top of that some telcos are competing directly with virtual assistants such as...

By Telecoms, 23 November 2017, 0 comments. Categories: Machine Learning, Operators.