While it’s being said that edge computing has failed to live up to the hype, that notion is arguably more about the hype than it is an issue with the technology. Hampered by limited 5G rollouts up to this point – a key component of edge computing – a lack of standardization, and marketing that focused more on the technology than customer needs and use cases, edge computing in reality is simply still in its early days. According to Accenture findings, for example, only half of the companies that already utilize edge computing today integrate it fully into their network infrastructure. Even so, industry analysts and telco executives remain bullish on edge computing, as the 5G and standards environments mature and the demand for more efficient processing at the outer nodes continues to grow. Not that things have been all that lackluster so far, with the edge computing market value increasing a healthy 48.4 percent year-over-year, from just more than $9 billion in 2022 to $13.5 in 2023, show figures from GMI Insights. But the research firm expects substantial growth to come after 2028, resulting in the worldwide edge computing market skyrocketing 1,108 percent over the next eight years. The Fanvil i66 and i67 premium IP video door phones, engineered for secure access control at building entrances, are now available from technology distributor NTS Direct. These models belong to Fanvil’s sophisticated i6 series of smart door phones, tailored for apartments, commercial buildings, communities, and industrial parks. They provide robust multi-factor authentication, including face recognition and can be integrated with other security devices. The Fanvil i66 (pictured) features a 4-inch color display with backlit keyboard, while the Fanvil i67 offers a similar 7-inch screen. Both models offer a 1080p Full HD 2MP camera for face recognition with 99%+ accuracy and IP66 and IK07 ratings for durability against dust, water and other environmental factors. According to a survey by business video messaging provider Loom, half of remote professionals believe 40 percent or more of their time spent on live conferencing is unproductive. Just less than half of all professionals surveyed believe asynchronous (recorded) video messages allow then to easily communicate with co-workers without setting up a meeting. Often, the term asynchronous is associated with the negativity of only going one way or in one direction. But in today’s fast-paced business environment, in which co-workers and partners often are geographically distributed, asynchronous video messaging is addressing some of the deficiencies of standard live video meetings. In turn, argue executives at IP communications platform provider Bicom System, it’s an emerging trend to watch within business communications. Async video messaging encapsulates a video response that a team member can create and share with their team to catch them up on the latest updates – a message that can be replayed and rewound at the receiver’s convenience in case they missed out on a particular detail. If needed, team members can then issue responses to the initial video at their convenience, rather than bending their schedules to meet at a designated time. The video messages also alleviate the inconvenience of communicating across multiple time zones, while retaining some of the human element that synchronous meetings offer, making it a more favorable option over emails or voice recordings. “While some companies have already started utilizing video as an onboarding tool, we are likely to see more companies adopting this approach,” said Bicom executives. The Early Edge of Edge Computing NTS Adds Face Recognition Door Phones The Rise of ‘Async’ Video Messaging EMERGENT Edge Computing Market Growth, 2022 to 2032 Source: Uptime Institute; 2022 How would your organization use AI within its combined unified communications and contact center platform? Source: 8x8 Source: GMI Insights; Mordor Intelligence Emerging Tech Impact Radar – Artificial Intelligence Source: Gartner, January 2024 Data-centric AI technologies AI trust technologies GenAI-centric technologies GenAI-native applications Expert VAs Smart robots Citizen data engineer Knowledge graphs Responsible AI AI TRiSM Multiagent generative systems (MAGS) Multistage LLM chains Massive LLMs Multimodal GenAI Vision transformers User-in-theloop AI Hallucination management Provenance detectors Sustainable AI Data fabric Fully autonomous driving Smart Space Model hubs Self-supervised learning Firstprinciple AI Neuromorphic computing Composite AI AI chips Deepfakes BMIs Decision intelligence Synthetic data AI-enabled technollogies Core AI technologies 6 to 8 Years 3 to 6 Years 1 to 3 Years Now (0 to 1 Years) Low Medium High Very High Wha Current AI Efforts and Future Investment Mos Sourc $200B $175B $150B $125B $100B $75B $50B $25B $0 2022 $9B $13B $28B 2023 2028 (Projected) 2032 (Projected) Voice of employer (VoE) Out-of-the-box access to developer tools Mobile applications Speech/interaction analytics Voice of Consumer (VoC) Predictive/other analytics Recruiting/onboarding Customer journey analytics Real-time agent assistance Workforce management (WFM) Performance management Knowledge management/knowledge base Customer self-service automation Quality management/interaction evaluation 43% 41% 41% 37% 34% 33% 32% 31% 31% 27% 27% 27% 24% 22% Aggressively Limited implementation 33% Exploration 45% 37% Sour 0 10 20 30 40 50 Percentage of Respondents Se Networ Sof Us a Serv re configu Har A Wha Sourc Ongo The Go $157B 8 CHANNELVISION | JULY - AUGUST 2024
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