KITCHENER, Ontario--(BUSINESS WIRE)--Miovision, a global leader in smart city technology, today launched the next generation of traffic technology. Using a type of artificial intelligence (AI) called deep learning, Miovision SmartSense brings AI to the roadside to help cities sense and understand what's happening at the intersection in real time. SmartSense can detect the presence and movement of vehicles, pedestrians and cyclists and use this data to improve congestion and safety. The new Miovision SmartSense technology completes the company's TrafficLink solution, which also includes a 360-degree fisheye camera and an IoT connected hub that allows traffic professionals to remotely access the intersection. Together, these components make up a powerful AI toolkit that uncovers insights about the intersection.
Bob, CFO of ABC Inc is about to get on an earnings call after just reporting a 20% miss on earnings due to slower revenue growth than forecasted. Company ABC's stock price is plummeting, down 25% in extended hour trading. The board is furious and investors demand answers on the discrepancies. Inaccurate revenue forecast remains one of the biggest risks for CFOs. In a recent study, more than 50% of companies feel their pipeline forecast is only about 50% accurate.
NVIDIA's (NASDAQ: NVDA) graphics processing unit (GPU)-based approach to high-performance computing and deep learning, a category of artificial intelligence (AI) in which machines are trained to make inferences from data the way humans do, has begun making inroads into the global oil and gas industry. This is great news for investors, as this is a multitrillion-dollar industry that forms the foundation of the global economy. While renewable forms of energy have been steadily displacing fossil fuels to generate electricity and electric vehicles (EVs) have begun lessening the transportation industry's ravenous appetite for petroleum products, full transformations of these realms will take decades. Moreover, beyond being used to produce just about everything, oil derivatives are key ingredients in products ranging from plastics and fertilizers to the asphalt that paves our roads and the synthetic fibers that clothe many of us. In 2018, NVIDIA has announced two wins in the oil and gas space.
Google is not only applying machine learning across its products, but also encouraging other developers to adopt it in third-party services and other use cases. It has now emerged that one of the latter examples is for drones from the U.S. government. Gizmodo this morning reported on a Google partnership last year with the U.S. Department of Defense to improve the latter organization's adoption of machine learning. The DoD's Project Maven is tasked with identifying objects in drone footage. Google supplied the military with TensorFlow APIs, which it notes in a statement are open source.
LONDON--(BUSINESS WIRE)--In 2018, worldwide IT spending is predicted to hit $3.7 trillion, an increase of 4.5% from 2017 according to a recent report by Gartner. The increase in spending will be driven by emerging technologies; IoT, Blockchain and AI are projected to be the key growth areas. Many feel the game-changer for emerging technologies lies in the convergence of IoT, Blockchain and AI. Recently IoT Tech Expo speaker, Cisco's Maciej Kranz* stated that 2018 will be the time when the leading technologies of today; AI, IoT and blockchain will converge to power new solutions. And we can already see an example of this from Porsche which is currently testing IoT, AI and blockchain technology solutions for smart cars.
All today's commercial drones use GPS, which works fine above building roofs and in high altitudes. But what, when the drones have to navigate autonomously at low altitude among tall buildings or in the dense, unstructured city streets with cars, cyclists or pedestrians suddenly crossing their way? Until now, commercial drones are not able to quickly react to such unforeseen events.
The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence.