Digital transformation is the "buzzword du jour" in every industry. There have been many initiatives that should have led to a digital transformation across many industries -- supply chain integration, global ERP systems, etc. These likely should have prepared us for the digital life. This fell far short in large part to one key element -- data. Data is key to any digital transformation journey, but the foundation of all data is master data.
Beijing – The United States is willing to help other countries finance purchases of next-generation telecommunications devices from Western providers so they can avoid buying from Chinese technology giant Huawei, a U.S. official said Thursday. Washington is lobbying European and other allies to exclude Huawei Technologies Ltd., which the U.S. sees as a security threat, as they upgrade to 5G networks. Australia, Japan and some others have imposed restrictions on Chinese technology, but Huawei's lower-cost equipment is popular with developing countries and is making inroads into Europe. Giving Huawei even a small 5G role would allow Beijing to expand its "surveillance state" by eavesdropping on phone and other network-based systems, said Keith Krach, a U.S. undersecretary of state for Economic Growth, Energy, and the Environment. "There's lots of financing tools and those kinds of things that I think many countries like us are willing to help provide, because we recognize this danger," Krach said on a conference call with reporters.
The Association for Unmanned Vehicle Systems International (AUVSI), the world's largest nonprofit organization dedicated to the advancement of unmanned systems and robotics, has compiled a list of "wow-worthy" examples of the vision that the fifth generation of wireless technology (5G) is inspiring for the use of connected drones. It says that 5G can: bring data-throughput speeds of up to 10 gigabytes per second, enabling real-time sharing of aerial video and other sensor data; enable devices to stay connected while traveling hundreds of miles per hour, allowing for remote deployment of AI-enabled, ultra-responsive autonomous fleets; and it could support up to a million connected devices per square kilometer -- enough capacity to absorb an explosion in the Internet of Things alongside increasingly sophisticated mobile applications, on the ground and aloft. "5G is going to be transformative," says Tom Sawanobori, chief technology officer for CTIA (Cellular Telecommunications Industry Association). He cited a 2017 study by Accenture which estimated 5G would bring 3 million new jobs, $275 billion in new investment and a $500 billion boost to the U.S. gross domestic product. Active tech companies in the markets this week include FLIR Systems, Inc. (NASDAQ: FLIR), Plymouth Rock Technologies Inc. (CSE: PRT) (OTCQB: PLRTF), Verizon Communications Inc. (NYSE: VZ), Raytheon Technologies Corporation (NYSE: RTX), QUALCOMM Incorporated (NASDAQ: QCOM).
WINNIPEG -- Canadians may soon be getting fewer scam calls. The Canadian Radio-television and Telecommunications Commission (CRTC) has approved a 90-day trial of Bell's plan to use artificial intelligence to help put an end to fraudulent phone calls. According to a news release, Bell's new system uses "defined sets of call characteristics and proprietary machine learning algorithms" to identify which calls are fraudulent. It said this system could stop about 120 million scam calls every month, in addition to the 220 million fraudulent calls it shuts down using a plan implemented in 2019. Bell is the parent company of CTV News.
Qualcomm is launching the RB5 robotics platform and new robotics developer kit to speed up industrial applications as well as infuse them with 5G connectivity. The company four years ago made a big pushing into robotics with the aim to leverage its connectivity hardware and research and development and build out its business-to-business efforts. Qualcomm's strategy revolved around building a platform that could apply to $200 toy robots as well as $2 million industrial robots, said Dev Singh, head of robotics, drones and intelligent machines at Qualcomm. "In the field, we have millions of robots powered by Qualcomm technology," said Singh, who added that NASA's latest Mars robot launching July 17 has Snapdragon 801 on board the rover. How 5G Will Transform Business What is 5G?
Qualcomm is working on AI computing much like rival chip makers Intel and NVIDIA, but it's sticking to what it does best: smaller devices and connectivity. It just unveiled the RB5 AI-enabled 5G robotics platform -- a follow-up to the RB3 chipset -- designed to be used in a wide array of robotic and drone products. The chips could help manufacturers build autonomous devices that can navigate their environments more adroitly while quickly relaying crucial information back to the user. The RB5 platform kit is a set of hardware, software and development tools that will allow manufacturers "to create the next generation of high-compute, low-power robots and drones," the company said. On the hardware side, it uses the company's QRB5165 processor and Kryo 585 CPU and Adreno 650 GPU, based on the Snapdragon 865 CPU. It's been customized for robotics applications and can deliver 15 TOPS (tera operations per second) of AI performance.
Artificial intelligence (AI) as intermediary is among the most popular tools in customer support, with businesses frequently dispatching software bots instead of humans to serve customers. You've likely experienced this trend firsthand when you've called a customer service number and an interactive voice response (IVR) system routed you to the right information funnel (if you're lucky). Or maybe you've navigated a website and a bot with a human name asked, via a blinking chat window, how they can help you. Get the latest insights with our CIO Daily newsletter. T-Mobile is taking a different tack, using AI to augment the customer experience rather than intercept the caller on the way to the human helper, according to CIO Cody Sanford, who has spent the past few years transforming the telco company's operations.
HPE on Tuesday announced HPE Edge Orchestrator, an up-and-coming SaaS offering that helps telcos offer new services and applications for their own enterprise customers, deployed at the edge. It's the latest in a series of new services from HPE designed to help telcos take advantage of 5G. It's a capital improvement project the size of the entire planet, replacing one wireless architecture created this century with another one that aims to lower energy consumption and maintenance costs. The launch of 5G networks presents an opportunity for telcos to explore new revenue streams, by offering services like AI-powered video analytics, industrial automation, and VR retail services. "Today, telcos have significant enterprise business, but they are often seen as little more than bandwidth providers, competing mostly on price," Phil Mottram, VP and GM of HPE's Communications and Media Solutions business unit, said in a statement. "HPE Edge Orchestrator empowers telcos to move up the value chain and become trusted edge services providers, offering differentiated, high-value enterprise services as well as new edge applications for their mobile subscribers."
Artificial Intelligence And Machine Learning Are More Important Than You Might Think For Mobile ... [ ] Devices AI is a common buzz word these days, but most consumers probably aren't aware how it's interwoven in their everyday lives. Some of us in the analyst and tech press communities may also scoff at how often the term is used for some technologies that hardly resemble true artificial intelligence. That said, there are a few platforms, beyond just powerful data centers, that are a natural for AI processing and the NNs (Neural Networks) that drive them. One of those is AI inferencing (using the AI to infer information, versus training an NN) at the edge, and in your pocket, with a smartphone. As you might imagine, smartphone platforms from Android to Apple vary greatly, but there are common workloads like speech-to-text translation, and recommender engines (like Google Assistant and Siri), that make heavy use of common AI NN models, and they do so on-device for speed and latency advantages.