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Worldwide Experiential Networking Industry to 2026 – Featuring Accedian, AppNeta and Avaya Among Others

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Dublin, April 01, 2021 (GLOBE NEWSWIRE) — The “Experiential Networking Market by Technology, Use Case, and Solutions 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.

This report investigates experiential networking market opportunities. The report evaluates companies anticipated to be influential in ENI as well as market positioning and strategies. It includes analysis by technology, use case, and solution.

The report also assesses experiential networking market opportunities by industry vertical. Quantitative analysis includes global and regional forecasts as well as by leading countries within each region for 2021 through 2026. In addition, the report provides specific recommendations across the ICT and digital technology ecosystem relative to ENI.

Select Report Findings:

  • Experiential networking relies upon a Publish/Subscribe Data Distribution Process
  • Key supporting experiential networking technologies include AI and advanced data analytics
  • Context-Aware Processing in experiential networking will become a $4.7B global market by 2026
  • Essential Support, Maintenance, and Training for experiential networking will reach $63M globally by 2026
  • North America will lead the experiential networking market followed by Asia Pacific and Europe through 2026

Based on a European Telecommunications Standards Institute (ETSI) let initiative, experiential networking is a relatively new concept with ETSI forming an Industry Specification Group (ISG) focused on “Experiential Network Intelligence” (ENI) and holding an initial ISG ENI meeting in 2017. These efforts define an “observe-orient-decide-act” control model with the intent that networks will become increasingly more adaptive, supporting intelligent service operations by way of cognitive network management. Accordingly, the core of the experiential networking market is the use of Artificial Intelligence (AI) and cognitive computing.

More specifically, ENI will leverage data and contextual information (such as AI-based decision-making) to take actions based on device and system-related events. Responses to events, related processes, and machine learning allows ENI to make automated decisions and provide recommendations for use by other systems such as management and orchestration platforms. This event-driven approach allows the experiential networking market to use various technologies to engage in intelligent analysis necessary for network and service policies and modeling.

This policy-based and model-driven approach to the experiential networking market means that data will be leveraged from many sources, and processed by disparate technologies, with a goal of simplifying complex device configuration and monitoring systems. This will also enable improved scalability for telecom and IT networking, which will be a boon for rapidly expanding Internet of Things (IoT) networks and systems as IoT becomes increasingly more voluminous and complex.

Like the Intent-Based Networking market for enterprise, ENI is focused on improving man-machine interaction for communications networks. A key goal of ENI is to automate network operations, which will have the effect of fewer errors as well as greater overall operational efficiency and effectiveness. Accordingly, the experiential networking market is intended to use a context-aware, meta-data approach to policy management that takes into consideration changes in user needs, environmental adaptation, and the evolution of business goals.

To achieve these goals, proponents propose an ENI framework that takes into consideration policy management, data sources, and the ability to leverage data learning, cognitive computing-based upon context-aware information, and interaction on an inter-system basis (e.g. communications and data sharing between different systems). This approach is intended to leverage available resources with several experiential networking market goals in mind including improving network planning and deployment, optimizing operations, and enhanced service orchestration and management.

More tangibly speaking, ENI is intended to de-risk Service Level Agreement (SLA) commitments by removing errors in key human-machine interfaces as well as automating important decision functions such as resource allocation and prioritization necessary to uphold SLAs in support of Quality of Service (QoS) and Quality of Experience (QoE) requirements.

As previously mentioned, ENI will use a data-driven approach, using AI and data analytics for automated decision making. For instances requiring human interaction, the experiential networking market incorporates cognitive computing to enhance decision-making. This can be important for delicate areas such as balancing network QoS with end-user QoE, which are sometimes mutually exclusive goals.

Use cases within the experiential networking market range from optimizing existing communications service provider applications to offering completely new business customer solutions focused on stringent QoS requirements.

Many of these use cases will involve data and decision-making from many sources including the LTE and 5G RAN as well as core network capabilities such as network slicing. Networks will also benefit by including mobile edge computing infrastructure and systems. Specific use cases include intelligent carrier-managed SD-WAN, optimized 5G network slicing management, automatic address allocation for operation IP managed networks, and RF coverage and capacity optimization.

Key Topics Covered:

1.0 Executive Summary

2.0 Overview

3.0 Introduction
3.1 Experiential Network Management
3.1.1 Experiential Computing Systems
3.1.2 Augmented Intelligence
3.2 Network Types
3.3 Market Trends
3.4 Standardization
3.4.1 European Telecommunications Standards Institute
3.4.2 Experiential Networked Intelligence Industry Specification Group

4.0 Technologies Supporting Experiential Networking
4.1 AI and Cognitive Technologies
4.1.1 Deep Machine Learning
4.1.2 Context-Aware Processing
4.1.3 Artificial Neural Networks
4.1.4 Cognitive Computing
4.2 Experiential Solutions
4.2.1 Network Configuration and Traffic Management
4.2.2 Performance Monitoring and Management
4.2.3 Security Management
4.2.4 Network Device Management
4.2.5 Fault Management
4.2.6 IP Address Management
4.3 Telecom, Cloud Service Providers, and Enterprise
4.4 Traditional vs. IoT Networks
4.5 Public vs. Hybrid Cloud Deployment
4.6 Virtualization and Integration Service
4.7 Network Optimization and Orchestration
4.8 Standalone vs. Platform Solutions
4.9 SDN, NFV, Network Slicing, and Edge Computing
4.10 AI-Driven Network
4.11 Self-Driven Networks
4.12 Human-Machine Interaction
4.13 Communications Service Provider Experience
4.14 Data-Driven Network Management
4.15 Network Management Analytics

5.0 Company Analysis
5.1 Accedian
5.2 AppNeta
5.3 Aruba Network
5.4 Avaya Inc.
5.5 BMC Software
5.6 Broadcom (CA Technologies)
5.7 Cisco
5.8 Colasoft
5.9 Cubro
5.10 Compuware Corporation
5.11 Dell EMC
5.12 ExtraHop Networks
5.13 Extreme Networks
5.14 Flowmon Networks
5.15 HelpSystems
5.16 HPE
5.17 Huawei Technology
5.18 IBM
5.19 Ipswitch
5.20 Juniper Networks
5.21 Kaseya
5.22 Kentik
5.23 LiveAction
5.24 Zoho Corporation (ManageEngine)
5.25 Micro Focus
5.26 NETSCOUT
5.27 Nokia
5.28 Paessler
5.29 Riverbed Technology
5.30 SevOne
5.31 SolarWinds
5.32 VIAVI Solutions

6.0 Experiential Networking Market Analysis and Forecasts 2021 – 2026
6.1 Global Experiential Network Management Market 2021 – 2026
6.1.1 Total Global Market 2021 – 2026
6.1.2 Market by Segment 2021 – 2026
6.1.2.1 Market by Solution 2021 – 2026
6.1.2.2 Market by Solution Offering 2021 – 2026
6.1.2.3 Market by Service 2021 – 2026
6.1.3 Market by Technology 2021 – 2026
6.1.4 Market by Network Type 2021 – 2026
6.1.5 Market by Industry Vertical 2021 – 2026
6.1.5.1 Market by Service Provider 2021 – 2026
6.1.5.1.1 Market by Service Type 2021 – 2026
6.1.5.1.2 Market by Communications Network 2021 – 2026
6.1.6 Market by Network Platform 2021 – 2026
6.1.7 Market by Organization Type 2021 – 2026
6.1.8 Market by Deployment Type 2021 – 2026
6.2 Regional Experiential Network Management Market 2021 – 2026
6.2.1 Market by Region 2021 – 2026
6.2.2 North America Market Forecast 2021 – 2026
6.2.3 Europe Market Forecast 2021 – 2026
6.2.4 APAC Market Forecast 2021 – 2026
6.2.5 Middle East and Africa Market Forecast 2021 – 2026
6.2.6 Latin America Market Forecast 2021 – 2026

7.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/fu75xf


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Artificial Intelligence

Enghouse Video Partners With SONIFI Health To Deliver Advanced Telehealth Solutions In Hospital Rooms

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MARKHAM, ON, April 25, 2024 /PRNewswire/ — Enghouse Video, a global leader in cutting-edge video technology solutions, today announced its partnership with SONIFI Health, enhancing virtual care in hospital settings.

SONIFI Health is a leading U.S. healthcare technology company based in Sioux Falls, South Dakota. The new partnership leverages and integrates Enghouse Video room systems technology to support SONIFI Health’s commitment to expanding telehealth applications and system optimizations in hospital settings.
Enghouse’s VidyoRooms solution, a sophisticated video conferencing technology that combines both software and hardware solutions, has been fully integrated into SONIFI Health’s interactive TV systems. This integration provides up to 4K high-quality video conferencing, multi-party sessions and robust security features that ensure full compliance with healthcare regulations.
Enghouse Video offers an immersive telehealth platform to support collaborative interdisciplinary care, improved patient outcomes and cost savings. The platform is flexible and simple, delivering the reliability, interoperability, and scalability needed for today’s healthcare environment. A key strength of the partnership is its offering of back-end integrations like patient portals, medical devices, EMR, tele-sitting, remote patient observation and consultation.
“Hospitals can choose the telehealth partner that’s right for them, and we incorporate that solution with interactive TV,” said Brian Nido, SONIFI Health’s Vice President of Customer Success. “Using the hardware and systems they already have in patient rooms helps hospitals reduce costs and maximize the value of their existing investments, while benefiting both clinicians and patients.”
SONIFI Health and Enghouse Video continue to collaborate closely to further refine and enhance the telehealth solutions provided to healthcare facilities. This partnership reflects a shared commitment to leveraging technology to create smarter hospital rooms and improve patient care across the healthcare spectrum.
About Enghouse VideoEnghouse Video, part of the Enghouse Interactive division, is a subsidiary of Enghouse Systems Limited, a vertically focused software and services company traded on the Toronto Stock Exchange (TSX: ENGH). Through highly secure, scalable and flexible Cloud-based or On Prem services, we deliver one of the world’s highest quality and most innovative video platform to video-enable any application or idea. From advanced video conferencing and collaboration tools to state-of-art enterprise video management, Enghouse Video is a unique player in multiple markets, including telehealth. Learn more at www.enghousevideo.com, read our blog, or follow us on Twitter at @EnghouseVideo, on LinkedIn, and on Facebook.
About SONIFI HealthSONIFI Health provides market-leading interactive patient engagement technology proven to improve patient outcomes and staff productivity. The EHR-integrated platform is designed to enhance patient and family experiences while increasing staff satisfaction and organizations’ operational efficiencies. As part of SONIFI Solutions, Inc., the company annually supports more than 300 million end user experiences. Learn more at sonifihealth.com.
Enghouse Video Contact: Sylvain Awad, Director, Demand Generation, Enghouse Video, part of Enghouse Interactive Division, [email protected]

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Artificial Intelligence

Global Insurance Provider Selects 3CLogic to Streamline AI and Contact Center Capabilities with ServiceNow

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Multinational Insurance Broker to deploy 3CLogic’s solution with ServiceNow’s Financial Service Operations (FSO) platform to streamline customer experiences.
ROCKVILLE, Md., April 25, 2024 /PRNewswire/ — 3CLogic, the leading Conversational AI and Contact Center solution for ServiceNow®, today announced its selection by a global insurance provider to replace its existing contact center infrastructure as part of a larger CX transformation effort. The strategic decision is designed to complement the organization’s use of ServiviceNow’s Financial Services Operations (FSO) offering leveraged across a number of its existing product lines including Customer Warranty Claims, Roadside Assistance, and Home Warranties.

Serving millions of customers worldwide with innovative insurance and protective products, the organization required a solution that would enhance its recent investment in the ServiceNow platform as it works to transform its end-to-end customer service operations. The deployment will incorporate several of 3CLogic’s AI-powered capabilities purpose-built for ServiceNow, including Conversational AI, Speech Analytics, and AI Performance & Coaching, along with integrated call transcriptions, convenient 2-way SMS, and ServiceNow-centralized contact center reporting.
“We continue to see enterprises eager to complement their existing investment in digital platforms, such as ServiceNow, with contact center features purpose-built to extend the workflows and features they already have and use,” explains Matt Durkin, VP of Global Sales at 3CLogic. “It’s no secret that organizations are already juggling too many systems, often with overlapping capabilities, which impacts ROI and operational efficiency. We’re proud to offer an alternative approach that helps simplify the technology stack while optimizing the overall operational costs and outcomes.”
Recently named to Constellation Research’s 2024 Shortlist for Digital Customer Service and Support, 3CLogic has seen global adoption of its solution by leading enterprises in healthcare, manufacturing, travel, retail, higher education, finance, non-profits, and Managed Service Providers across five continents. As a ServiceNow-certified Technology and Build partner with offerings available for ServiceNow’s IT Service Management, Customer Workflows, HR Service Delivery, and Source-to-Pay solutions, the company will be unveiling its latest set of capabilities at ServiceNow’s annual Knowledge 2024 event this May in Las Vegas.
For more information, please contact [email protected].
About 3CLogic3CLogic transforms customer and employee experiences with its leading Cloud Contact Center and AI solutions purpose-built to enhance today’s leading CRM and Customer Service Management platforms. Globally available and leveraged by the world’s leading brands, its offerings empower enterprise organizations with innovative features such as intelligent self-service, generative and Conversational AI, agent automation & coaching, and AI-powered sentiment analytics – all designed to lower operational costs, maximize ROI, and optimize each interaction across IT Service Desks, Customer Support, Sales or HR Services teams. For more information, please visit www.3clogic.com.
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ScreenPoint Medical Leadership Transition: Pieter Kroese Confirmed as CEO

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Leading Breast AI Company, creator of industry-leading Transpara®, promotes from within for new CEO
NIJMEGEN, Netherlands, April 25, 2024 /PRNewswire/ — ScreenPoint Medical, today announced a significant transition in its leadership as Mark Koeniguer, the current CEO, steps down from his position. Mark served as CEO since 2022 and was instrumental in ScreenPoint’s commercial growth and success over the past 2 years.

 
 
The company’s Board of Directors has appointed Pieter Kroese as the new Chief Executive Officer effective April 25, 2024. Pieter takes the role after serving as COO of ScreenPoint for over five years. During that time, he has managed the transition of the company from an early startup to a thriving enterprise with hundreds of customers using ScreenPoint’s flagship Transpara software to support millions of scans a year.
“I am thrilled to lead ScreenPoint into its next phase of growth and innovation,” said Mr. Kroese. “I am deeply committed to building upon the strong foundation we have and continuing to work closely with our talented team to drive continued success. We are already expanding screening capacity and capability through proven reader support – we look forward to increasing our ability to support providers and women moving forward.”
Sir Michael Brady, Chairman of the Board at ScreenPoint Medical and a co-founder of the company, expressed enthusiasm about Pieter’s appointment, stating, “Pieter’s remarkable leadership qualities, coupled with his depth of knowledge of our product and industry, make him the perfect choice to lead ScreenPoint into the future. His strategic mindset and commitment to excellence align perfectly with our company mission of early breast cancer detection. Pieter has been an integral part of our growth to date and will provide seamless leadership through this transition into our next chapter for our customers, partners, and team.”
Author of “No Longer Radical” and over a hundred peer-reviewed publications on breast imaging, Dr. Rachel Brem is a Transpara user and ScreenPoint Board Member. Dr. Brem welcomed Mr. Kroese with the following: “Pieter has been an integral part of the ScreenPoint team for years. I am confident that his leadership will continue to deliver product excellence: earlier detection with outstanding reading workflow and improved patient outcomes. We continue to see these results from clinical sites all over the world, including many here in the United States. No other Breast AI solution has demonstrated the same results as Transpara, and I am confident that the team will continue to push on these frontiers under Pieter’s leadership.” 
The entire team at ScreenPoint extends its gratitude to Mark Koeniguer and wishes him every success in the future, while warmly welcoming Pieter Kroese into his new role as CEO.
About ScreenPoint Medical
ScreenPoint Medical translates cutting edge machine learning research into technology accessible by radiologists to improve screening workflow, decision confidence and breast cancer risk assessment. Transpara is trusted by radiologists globally because it has been developed by experts in machine learning and image analysis and updated with user feedback from world-renowned breast imagers.
See all the proof at: https://screenpoint-medical.com/evidence.
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