Thursday, April 15, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Telecommunications Providers Lag in Use of Applied AI and Machine Learning

April 11, 2019
in Machine Learning
Telecommunications Providers Lag in Use of Applied AI and Machine Learning
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: Google News

While telcos view personalization as very important, only 41 percent said they are using advanced analytics when they onboard a new customer, the majority (81 percent) use analytics in advertising and marketing, but do not use it in the later stages of the customer journey. The number one driver for analytic investments is to improve the customer experience, followed by the desire to improve profitability, and reduce churn.

You might also like

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier

Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News

FICO, a leading analytics company, today announced results of a global survey with TM Forum, the global not-for-profit association focused on digital transformation. They survey shows that telecommunications providers worldwide are lagging in their use of predictive models, machine learning and artificial intelligence. However, communications service providers (CSPs) are increasingly recognizing the need to become more data-driven in order to improve their decision-making and profitability. Improved customer experience is central to both, and it was cited as the number one driver for analytic investment in the survey.

“With CSPs under pressure to increase profitability, they are turning to data-driven, predictive models in all stages of the customer lifecycle,” said Mark Newman, chief analyst at TM Forum. “As they start to explore artificial intelligence and machine learning, CSPs need to take a holistic approach and find opportunities and use cases across the customer lifecycle. This is how the battle for customer loyalty will be waged.”

Advanced analytics including AI and Machine Learning can enable CSPs to gain a greater understanding of customer expectations and experiences across the customer lifecycle, but few have yet to implement technology solutions. Data points to consider:

Few CSPs use prescriptive analytics later in the customer journey – Only 35 percent are using advanced analytics or machine learning for renewals, and only 36 percent are using artificial intelligence for collections and recovery.
Personalization is an opportunity yet to be fully realized – While operators view personalization as very important, only 41 percent said they are using advanced analytics for it when they onboard a new customer. Only about half are proactively working to match offer packages to customer needs.

“The survey results underscore that there is still a tremendous opportunity for telcos to utilize analytics throughout the customer journey,” said Shawna Morgan, senior director for telecommunications, media, entertainment, and technology, FICO. “Providers need to look beyond marketing, and expand their focus to how machine learning and AI can improve customers’ experiences and reduce churn.”

A large majority – 81 percent – are using or plan to use analytics in marketing and advertising campaigns.
70 percent are still using a reactive and rules-based approach to fraud, with just over a quarter using machine learning and predictive models. Text is the dominant channel of communication – 94 percent communicate with their customers via text, however only 20% use personalized text for late payment communications. The research surveyed 64 professionals from CSPs around the world who are applying, leveraging and/or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.

If you have an interesting article / experience / case study to share, please get in touch with us at editors@expresscomputeronline.com

Credit: Google News

Previous Post

Open FaceTime Call from Command Line

Next Post

Forrester Positions Oracle as a Leader of Notebook-Based Machine Learning Solutions Providers

Related Posts

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization
Machine Learning

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

April 14, 2021
Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier
Machine Learning

Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier

April 14, 2021
Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News
Machine Learning

Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News

April 14, 2021
Applying artificial intelligence to science education — ScienceDaily
Machine Learning

Machine learning can help slow down future pandemics — ScienceDaily

April 14, 2021
ML Ops and the Promise of Machine Learning at Scale
Machine Learning

ML Ops and the Promise of Machine Learning at Scale

April 14, 2021
Next Post
Forrester Positions Oracle as a Leader of Notebook-Based Machine Learning Solutions Providers

Forrester Positions Oracle as a Leader of Notebook-Based Machine Learning Solutions Providers

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Six courses to build your technology skills in 2021 – IBM Developer
Technology Companies

A brief intro to Red Hat OpenShift for Node.js developers – IBM Developer

April 15, 2021
Microsoft Defender for Endpoint now protects unmanaged BYO devices
Internet Security

Microsoft Defender for Endpoint now protects unmanaged BYO devices

April 15, 2021
New JavaScript Exploit Can Now Carry Out DDR4 Rowhammer Attacks
Internet Privacy

New JavaScript Exploit Can Now Carry Out DDR4 Rowhammer Attacks

April 15, 2021
Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization
Machine Learning

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

April 14, 2021
Data Labeling Service — How to Get Good Training Data for ML Project? | by ByteBridge | Apr, 2021
Neural Networks

Data Labeling Service — How to Get Good Training Data for ML Project? | by ByteBridge | Apr, 2021

April 14, 2021
The Search Engine Land Awards are open: Wednesday’s daily brief
Digital Marketing

The Search Engine Land Awards are open: Wednesday’s daily brief

April 14, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • A brief intro to Red Hat OpenShift for Node.js developers – IBM Developer April 15, 2021
  • Microsoft Defender for Endpoint now protects unmanaged BYO devices April 15, 2021
  • New JavaScript Exploit Can Now Carry Out DDR4 Rowhammer Attacks April 15, 2021
  • Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization April 14, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates