Market Research Report
AI-Driven Zero-Touch Automation: Market Analysis of Related Technology and Use Cases for the Telecoms Industry
|Published by||Analysys Mason||Product code||810798|
|Published||Content info||21 Slides
Delivery time: 1-2 business days
|AI-Driven Zero-Touch Automation: Market Analysis of Related Technology and Use Cases for the Telecoms Industry|
|Published: March 20, 2019||Content info: 21 Slides||
"CSPs need to automate their processes quickly and more completely to achieve further efficiencies and to address relatively rapid changes in technology, services and customer demands, as well as declining service revenue."
Communications service providers (CSPs) want to improve their processes to reduce costs and improve customer experience, but many processes are complex to model and change with a frequency that makes end-to-end automation difficult to achieve and uneconomical to implement. CSPs can simplify these processes by removing manual steps, which requires the use of different technologies including AI. AI-driven zero-touch automation (AI ZTA) is well-suited to tackling complex, dynamic and data-intensive processes.
AI-BASED APPROACHES TO ZERO-TOUCH AUTOMATION BUILD ON
OTHER APPROACHES AND
ADDRESS MORE-COMPLEX AND DYNAMIC ISSUES
Justin van der Lande is a Principal Analyst for Analysys Mason and leads the AI and Analytics research programme, which is part of Analysys Mason's Telecoms Software and Networks research stream. He specialises in business intelligence and analytics tools, which are used in all telecoms business processes and systems. In addition, Justin provides technical expertise for Analysys Mason in consultancy and bespoke large-scale custom research projects. He has more than 20 years' experience in the communications industry in software development, marketing and research. He has held senior positions at NCR/AT&T, Micromuse (IBM), Granite Systems (Telcordia) and at the TM Forum. Justin holds a BSc in Management Science and Computer Studies from the University of Wales.