IA for OIP | Innovation Associate for OIP

Summary
Research suggests that there is a market demand for third-party intelligent service management platforms. Video Service Providers need new tools to reduce their operational costs and improve end-user quality of experience through efficiencies in issue detection and resolution. Divitel sees great potential in the automation of customer care as well as the integration of AI enabled software in the Television (TV) domain. Most of the TV operators make a huge amount of revenue with their customers, but even today, customer service is very poor. Customer complaints are not answered and responded to in a proper way, the fixing time for open bugs or tickets can take up to a few weeks to months and in the end, they do not optimize their internal infrastructure based on current system failures.



Also The road to get video content from its creation to the device is long. Operators, content providers and broadcasters must not only investigate the many different types of technology, employ them effectively, but also to operate their services in an efficient way, allowing faster times to change with increasingly lower margins of error. While trying to implement this, they all have limited resources, in an industry that is becoming more and more hyper competitive. Divitel wants to change this and truly believe that the new trend of AI (Artificial Intelligence) will also take place in this industry.



To address this problem, Divitel wants to build and offer an Intelligence Operations Platform (IOP) to the marketplace. The platform enables the delivery of products and services such as Monitoring, Analysis and Managed Operations. It will rely on the latest research in Machine Learning (ML) and Artificial Intelligence (AI) which runs on the top of the knowledge graph architecture and is optimized to take full advantage of its underlying data structure. Service Providers will take advantage of insights coming from the Knowledge Graph to solve challenges such as personalizing
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Web resources: https://cordis.europa.eu/project/id/957157
Start date: 01-01-2021
End date: 31-12-2021
Total budget - Public funding: - 137 500,00 Euro
Cordis data

Original description

Research suggests that there is a market demand for third-party intelligent service management platforms. Video Service Providers need new tools to reduce their operational costs and improve end-user quality of experience through efficiencies in issue detection and resolution. Divitel sees great potential in the automation of customer care as well as the integration of AI enabled software in the Television (TV) domain. Most of the TV operators make a huge amount of revenue with their customers, but even today, customer service is very poor. Customer complaints are not answered and responded to in a proper way, the fixing time for open bugs or tickets can take up to a few weeks to months and in the end, they do not optimize their internal infrastructure based on current system failures.



Also The road to get video content from its creation to the device is long. Operators, content providers and broadcasters must not only investigate the many different types of technology, employ them effectively, but also to operate their services in an efficient way, allowing faster times to change with increasingly lower margins of error. While trying to implement this, they all have limited resources, in an industry that is becoming more and more hyper competitive. Divitel wants to change this and truly believe that the new trend of AI (Artificial Intelligence) will also take place in this industry.



To address this problem, Divitel wants to build and offer an Intelligence Operations Platform (IOP) to the marketplace. The platform enables the delivery of products and services such as Monitoring, Analysis and Managed Operations. It will rely on the latest research in Machine Learning (ML) and Artificial Intelligence (AI) which runs on the top of the knowledge graph architecture and is optimized to take full advantage of its underlying data structure. Service Providers will take advantage of insights coming from the Knowledge Graph to solve challenges such as personalizing

Status

CLOSED

Call topic

INNOSUP-02-2019-2020

Update Date

27-10-2022
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