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Showing posts from February 2, 2017

Consumer demand for higher quality audio in mobile handsets is now a game-changer

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I have a pleasure to recall that, manufacturers like Samsung are making it clear to the public that they are supporting high-quality audio by mentioning the specific audio chips responsible for producing the extraordinary audio quality in their marketing campaigns. The importance of this industry trend is also evident through recent acquisitions of high quality audio chip companies, including Knowles’s purchase of Audience, Qualcomm’s pending purchase of NXP, and Cirrus Logic’s purchase of Wolfson.

China not North America or Europe leading the demand for customization and improved audio quality in mobile handsets

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If it is clear that, in the recent past, the impetus for customization was the demanding North America and European markets, in recent mobile teardowns, ABI Research finds China not North America or Europe leading the demand for customization and improved audio quality in mobile handsets. However, ABI Research pinpoints that Chinese mobile manufacturers must prioritize handset customization to include higher quality audio. 
In fact, many top- and mid-tier phones are breaking away from standard chipsets to include custom point solutions that improve the audio quality on both sides of calls. For instance, Samsung Galaxy C9 Pro relies on Cirrus Logic’s low power audio codec (CS47L15), which combines with NXP’s audio amplifier (T9897B) to form an always-on, low-noise, Hi Fi audio system.

TensorFlow support through IBM PowerAI for advanced machine learning products and systems

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A new momentum for IBM PowerAI; an enterprise distribution and support for open-source machine and deep learning frameworks used to build cognitive applications. In effect,PowerAI on the POWER8 architecture now supports the TensorFlow 0.12 framework that was originally created by Google. 
Then, I can observe that, TensorFlow support through IBM PowerAI provides enterprises with another option for fast, flexible, and production-ready tools and support for developing advanced machine learning products and systems.

User and Entity Behavioral Analytics (UEBA) along with Deep Learning algorithm designs

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I have a pleasure to recall that, User and Entity Behavioral Analytics (UEBA) along with Deep Learning algorithm designs are emerging as the two most prominent technologies in cybersecurity offerings, especially in innovative hot tech startups. Established antivirus (AV) players in the market, such as Symantec, continue to transform some of their solutions from highly trained supervised models to unsupervised and semi-supervised ones in preparation of the constantly shifting threat variables.

Here is why cybersecurity industry is investing heavily in machine learning

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In our ever-connected era, Cyber threats are an ever-present danger to global economies; therefore, the cybersecurity industry is investing heavily in machine learning in hopes of providing a more dynamic prevention. ABI Research forecasts machine learning in cybersecurity will boost big data, intelligence, and analytics spending to $96 billion by 2021.  ABI Research also finds that, the government and defense, banking, and technology market sectors to be the primary drivers and adopters of machine learning technologies.

Offerings augmented reality has provided to the education sector

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I have a great pleasure to observe that, Mobile Augmented Reality models provide a quality learning experience with simplified training modules at reasonable prices. Homework linked with QR codes to provide access related material, and augmented reality apps to get hands-on training are some of the offerings augmented reality has provided to the education sector.
According to Technavio, South Korea is one of the biggest adopters of AR technology in the education sector. The Ministry of Education in South Korea announced the shift to digital textbooks in the elementary and middle school classrooms.

Famous games currently dominating the gaming and entertainment segment in the global mobile AR market

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Interesting to view that, Manufacturers are currently developing realistic and hyper-realistic augmented reality games for both smartphones and PCs. 
According Technavio, customer perceptions and reviews are being studied to understand their demands and expectations better. 
Temple Treasure Hunt, ARBasketball, SpecTrek, and Toyota 86 AR are some of the famous games that are currently dominating the gaming and entertainment segment in the global mobile AR market.

Marketing and advertising sector is one of the earliest adopters of the augmented reality technology

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One can observe that, the marketing and advertising sector is one of the earliest adopters of the augmented reality technology to allow better consumer interaction with its brands. Companies such as Pepsi and Ray-Ban are using AR campaigns and AR apps to raise product awareness and attract more customers. Companies are developing computer-generated graphics that are superimposed with real-life scenes to add a new dimension to marketing.

Chabot technology within social networking platforms servicing consumers and enterprises

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With more than billion of active users across the world, social networking platforms are maturing steadily into real living place for everyone and as a tool for brand engagement and interaction between the brand and the customer. 
In effect, this opens up ample opportunities for both consumers and enterprises to use chatbot technology that can benefit both. 
For those who are unfamiliar, if the user of a social networking site requires assistance regarding new features, security, and other issues of the site, interaction with the chatbot will help the person to find a solution. 
Chatbot will prove helpful for enterprises as it will help them to connect with the user, increasing their brand awareness.