Qualcomm AI Technologies to Take a Step Ahead with IoT New Products and Strategies in MarketPosted Jun 17, 2018
An intelligence report has been added to the portfolio of ResearchMoz.us titled, “Analysis of Qualcomm's AI Technologies, Patents, and Strategies.” Qualcomm has taken over the 4G LTE (Long Term Evolution), CDMA (Code Division Multiple Access), 3G EV-DO (Evolution-Data Optimized), and baseband markets, with its effective business strategies and models. However, there are certain drawbacks related to them as well. Owing to excessive stress on mobile phones market, it has resulted in the downfall in patent royalty and revenue. Hence, Qualcomm has worked upon to change or modify its business methods and strive for sustainable growth in coming years. They are building strategies regarding the investments, mergers and acquisitions, application, and patents. With all such efforts, particularly the emerging application markets, which Qualcomm’s Artificial Intelligence (AI) technology has is focusing on, helps in understanding Qualcomm’s deployment plans.
Qualcomm artificial intelligence have several benefits for the companies willing to use it in their products and services. Qualcomm AI can now work on a device without any cloud storage, particularly when it is supported by a Snapdragon platform for mobiles. Latency, reliability, and privacy, along with efficiency in the usage of bandwidth are some added benefits as well. Their combined computing capabilities which serves high quality performance for AI applications and features.
With the emergence of 5G technology, several smart, connected devices are able to exchange information between each other directly. With the presence of cloud platform, it now provides even more customized and intelligent user experiences. Snapdragon mobile platforms support wireless technologies like Gigabit LTE, and soon 5G, for distributed computing architectures for AI.
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Joseph Bousaba, vice president, product management, Qualcomm Technologies, Inc. states that the major aim of Qualcomm is to create significantly smarter IoT devices, so as to help the customers with strong security, camera processing, and on-device intelligence. AI is as it is embedding cameras with tracking, object detection, classification, robots and face recognition, which would avoid obstacles without any human help. It also is incorporating action cameras which will learn and produce a video summary of your recent adventure. However, he says this all is just the tip of an iceberg.
From business point of view, a buyout of Qualcomm QCOM, +0.44% could radically shift the competitive scenario of the market, perhaps more so than take over by Broadcom AVGO, +0.24% would have. (The U.S. government attempted a takeover.) There are major differences in the two business agreements, as the operational styles of Broadcom and SoftBank couldn't be more contradicted. SoftBank encourages research and development and innovations, which is pushing the organizations ahead, instead of stimulating cutbacks in order to make profits.
Apart from continuing to revamp current processors for smart home devices, Qualcomm has launched two latest chipsets which is created particularly for IoT devices. The QCS603 and QCS605 are 10nm system-on-chips (SoCs) which is there to power things such as robot vacuums, 360-degree cameras, and smart displays from firms for example Ricoh Theta and Kedacom.
John Gaitan is a leading professional research analyst with thousands of real Instagram followers for his postings. He also allow to authors write for us business and technology research content on his website Complete Connection.