The hottest omdia determines the key from cloud ba

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Omdia determines the key transformation from cloud based AI to edge AI

omdia, a leading analysis agency, released its latest report today, identifying key areas of edge AI growth

the report entitled "connection point: edge AI" (routine inspection: ring stiffness experiment, ring flexibility experiment, seam tensile strength experiment connecting the dots: AI at the edge) found that the edge position needs more calculations to manage and support new and proliferating IOT devices sensitive to delay and software technology for analyzing the increasing amount of data

the need for more data collection and analysis is posing a major challenge to network bandwidth, and there is an urgent need to provide better security options. IOT is one of the main drivers of edge AI demand, but this demand is driven by many different applications across multiple vertical markets

the latest "connection point: edge AI" report focuses on five key factors that will shape edge AI opportunities in the next few years: frequent failures and maintenance of spring testing machines? Elements, as well as short-term and long-term prospects for the practical application of AI at the edge of each key market

five factors shaping edge AI:

emerging edge use cases. Although intelligence may be the key to edge AI devices, emerging use cases from enterprises and industry will drive future growth

diversified cost-effective silicon solutions. In the past few years, AI has been a key driver of silicon growth in the high-end processor market, but what enables AI to develop rapidly in marginal areas will be a diversified processor portfolio that can solve a series of use cases

a new computing ecosystem from cloud to edge. Distributed computing technologies such as kubernetes make hybrid and distributed cloud infrastructures easier to manage and operate more agile. The zigzag experimental machines of Jinan new era Gold Testing Instrument Co., Ltd. in server city are equipped with operation instructions, and the field has seen the impact of this trend

csp uses edge AI to realize edge AI optimization. In order to provide powerful AI services at the edge, CSP also uses edge AI to achieve low latency for new services, improve customer experience and reduce costs

a wide range of industry verticals with specific requirements. Video surveillance is just an area where the built-in AI of devices has completely changed the industry. Other industries, from fast food to oil and gas, have seen the benefits of deploying AI built into devices

bill Morelli, vice president of enterprise of omdia, commented that in the past few years, AI has moved from the experimental stage to the commercial stage. Cloud AI is now a mature and reasonable technology implemented in various business processes. Therefore, there are many compelling use cases in AI that require edge technology

in order to meet this demand and requirement, various silicon products came into being. Functions have finally caught up with the needs of edge AI solutions. This combination of demand and technology will open up the space for development across multiple departments in the coming years, so as to provide better business results and solutions

this edge AI report also reveals the short-term and long-term prospects of five major areas, including manufacturing, health care, intelligent buildings, utilities and video surveillance

across the edge of multiple vertical markets a many researchers have focused on the short-term outlook of PLA modification I (2020):

manufacturing: due to limited expertise and new market edge products, applications will continue to use threshold analysis rather than real AI machine learning

health care: the COVID-19 has accelerated the development of AI software, especially AI based drug and vaccine research, medical imaging, and machine learning tools for patient screening, triage, and monitoring

intelligent building: the facility is connected to hardware but does not analyze/make full use of the power of its data

utilities: increased investment in software and analysis, but usually in the form of modular plug-ins

video surveillance: disputes about the use of analysis technology for personal analysis such as face recognition will continue. But few legislation is expected to have an impact

long term outlook for vertical market edge AI (2021 and beyond):

manufacturing: for control level products, edge computing and control equipment from IT companies will shift the strategic relationship between IT companies and current ot suppliers from cooperation to competition

health care: the lack of regulatory approval (such as FDA) will become an obstacle to the development of self-learning algorithms. But this will not hinder in-depth learning analysis

intelligent building: increased investment in central building management software and edge AI enabled hardware

utilities: in the next five years, companies that do not provide strong AI driven software and services will see a sharp decline in hardware sales

video surveillance: technology will be used to make up for the decline of ASP in the hardware market

the connecting the dots: AI at the edge report can be downloaded for free

about omdia

omdia is a global technology research institution, which was established after the merger of the research departments of informa Tech (ovum, heavy reading and tractica) and the acquired IHS Markit technology research business *

we combined the expertise of more than 400 analysts in the entire technology field, analyzed 150 markets, published 3000 research solutions, and subscribed to more than 14000 users, covering thousands of technology, media and telecommunications companies

comprehensive and detailed information and deep technical expertise enable us to find operational insights to help our customers integrate in today's evolving technical environment, so that they can achieve business improvement at present and in the future

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*ihs Markit's most technology research products and solutions were acquired by informa in August 2019 and are now part of omdia

source: omdia

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