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How AI is changing the way we shape our world

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huawei
interfaces
nvidia
cx
csps
india
5g
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citizens
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The arrival of 5G offers significant benefits to consumers and businesses. In each domain, aggregating and analyzing the huge influxes of data in real-time in order to ensure the highest levels of service will become essential; current technologies simply will not be able to cope, nor create insight of the required standard. AI is the only way that CSPs can react and respond fast enough in the face of this flood of data. What follows too from AI, is the ability to reduce costs that can be passed onto customers. In the future, our environments, clothes, or even contact lenses will be the gateway to a new reality. As the world looks forward to 5G becoming an everyday reality, now is the time for you to think about how 5G will impact your customer experience (CX) strategy. Where the power of this technology takes center stage is in the contact center. 5G and analytics will be crucial for providing the performance and intelligence needed for these technologies to work anytime. Citizens will expect real-time, context-based content from IoT devices. While it’s useful to look at 5G from a CX perspective, the benefits of 5G will obviously extend far beyond your citizen’s experience. With each trend above, we see a transition from the network as being an infrastructure through which data flows to the network becoming a facilitator for insight and proactive service.

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Article Summary
The arrival of 5G offers significant benefits to consumers and businesses. For CSPs (communications service providers) the practicalities and pain-points center around two facts: the data throughputs across all areas of the network will rise significantly as device numbers (and capabilities) increase, and the new services will mean that there will be new areas of competition with which to contend. Expectations of performance, security and service reliability will be high, and what’s more, with more areas of technology and different industry verticals deploying new technologies (next-gen industrial internet of things {IIoT}, smart technologies, embedded systems and so on), there will be further sources of business-critical data to manage. In each domain, aggregating and analyzing the huge influxes of data in real-time in order to ensure the highest levels of service will become essential; current technologies simply will not be able to cope, nor create insight of the required standard. It’s easy to get confused by the difference between cognitive algorithms, machine learning, deep learning, and the different variations. Smart systems aren’t just about managing peaks and troughs of demand. That boosts the quality of user experience as you might expect, creating a new breed of customer experiences that will ensure loyalty to the brand.
Article Summary
There is much excitement surrounding the field of brain-computer interfaces (BCI). Asimmersive technologycontinues to advance, we will see the interfaces we use to link the physical and digital worlds virtually disappear. Currently, we associate these experiences with cumbersome headsets or interactive touchscreens. In the future, our environments, clothes, or even contact lenses will be the gateway to a new reality. However, BCIs are not just the futurethey are the here and now. EEG sensors are used to record brain signals and are one of the most widely used external interfaces. Historically, they have been used in medicine and research, but other industries are now showing interest. The two companies share a vision of using neurotechnology to support digital transformation by providing a bi-directional feedback loop, driving increased safety and productivity. Trimble For Trimble, the benefits of using BCI are clear, Using BCI as part of an evidence-based design process can help designers better understand the impact of their work, define target experiences, and design for affordances to support the occupants’ productivity and wellbeing.
Article Summary
Huawei’s 5G demos are the central theme to its booth at the India Mobile Congress 2019 (IMC 2019). As the Indian government mulls over whether or not to let the company participate in its upcoming 5G trials, Huawei is offering to sign a ‘no back door’ pact to allay concerns. After being banned from trading with US companies, Huawei has been facing global resistance over its 5G technology.
Article Summary
The image of Nvidia co-founder and CEO Jensen Huang pacing across the stage at a tech conference and talking about his company’s latest new markets for artificial intelligence, the latest partnerships with high-profile vendors, and looking into the near horizon for Nvidia’s next revenue stream has become a familiar one. Over the five that Huang has been telling audiences that AI, deep learning, deep neural networks, and the processing and analyzing of the skyrocketing amount of data being generated represented the future for Nvidia and its GPUs – and that none of it could happen as well without those GPUs – the company has rolled out a roster of products aimed at establishing its place in a rapidly changing IT world. Nvidia is turning its attention to the edge and specifically to telecommunications companies, where the promise of 5G connectivity and software-defined 5G networks that will play significant roles in defining what the edge will become. In a keynote address this week the day before the kickoff of the Mobile World Congress LA 2019 show in Los Angeles, Huang again laid out his vision of the future at the edge and Nvidia’s role in it, from new and improved products to a range of partnerships that include Microsoft, Ericsson, and Red Hat. All of these announcements are aimed at an edge environment that will include huge numbers of sensors and other devices generating massive amounts of data that needs to be quickly processed and analyzed. “The first big bang of AI started in the cloud when big amounts of customer data started being gathered and they brought together big data and deep learning with Nvidia GPUs to build new AI models that could deliver a recommendation engine, chat box, and translation,” Justin Boitano, general manager of Nvidia’s enterprise and edge computing business, said during a call with journalists. “ BMW, Proctor and Gamble, and the other companies mentioned already are using EGX, Boitano said. In order to process all the sensor data, they need to compute over 1.6 TB of data per second. The IoT evolution they’ll be talking about is really about sensors being put out into the world.
Article Summary
As the world looks forward to 5G becoming an everyday reality, now is the time for you to think about how 5G will impact your customer experience (CX) strategy. For example, voice analytics require uncompressed audio, which also means the recording and voice path need to remain uncompressed. 5G and analytics will be crucial for providing the performance and intelligence needed for these technologies to work anytime. Citizens will expect real-time, context-based content from IoT devices. Whether It’s catching up with your favorite TV show on the subway or having your self-driving car adjust its route automatically based on traffic, mobile edge computing depends on the reliable performance of the network to provide fast, reliable connectivity as needed. Jeffrey Granvold is Senior Manager, Customer Experience Design and Business Innovation for Verizon.