Special Report: Emerging Technologies


Successful companies aren't waiting to embrace and adopt new technologies such as AI and machine learning, IoT, chatbots, and blockchain. According to Gartner, one of the differentiating practices of a high-performing business is focusing investments on moving the technology core forward and testing emerging technologies. Here, find the latest trends around these disruptive new technologies, and learn how your organization can harness their powerful capabilities to grow your business, gain a competitive edge, and achieve real business value. Three Ways to Disrupt IoT for Real Results How can we rethink IoT initiatives so that they actually create value for companies? How Robots and AI Can Improve Shared Services Centers Five strategies can help organizations adopt robotic process automation and artificial intelligence with successful results.

3 Artificial Intelligence Stocks to Watch This Year


It seems like nearly every technology company is pursuing some form of artificial intelligence these days. But while there are many companies hoping to benefit as this burgeoning market expands, NVIDIA Corporation (NASDAQ:NVDA),

Machine Learning is the Solution to the Big Data Problem Caused by the IoT 7wData


Big Data has already made fundamental changes to the way businesses operate. There are huge advantages for companies who can derive value from their data, but these opportunities come with challenges, too. For some, this is the challenge of acquiring data from new sources. For others, it is the task of building a scalable infrastructure that can manage the data in aggregate. For a brave few, it means extracting value from the data by implementing advanced analytic techniques and tools.

NVIDIA: Open Source Deep Learning is Powering the AI Revolution


In this chapter of our thought leadership series, AI Business caught up with Kari Ann Briski, the Director of Deep Learning Software Product at NVIDIA. Based in San Francisco, Kari works together with researchers and enterprise customers to bring the benefits of deep learning to their applications. Deep learning is being applied to solve many big data problems from computer vision, image recognition, speech recognition, and autonomous vehicles. With deep learning, there is enormous potential to cure disease, construct smart cities and revolutionize analytics. Today more than 19,000 companies are currently using deep learning to transform their capabilities.

Solution guide: Building connected vehicle apps with Cloud IoT Core


GCP services, including the recently launched Cloud IoT Core provides a robust computing platform that takes advantage of Google's end-to-end security model. Device Management: To handle secure device management and communications, Cloud IoT Core makes it easy for you to securely connect your globally distributed devices to GCP and centrally manage them. Applications: Compute Engine, Container Engine and App Engine all provide computing components for a connected vehicle platform. Predictive Models: TensorFlow and Cloud Machine Learning Engine provide a sophisticated modeling framework and scalable execution environment.

What Is Machine Learning? Origins and How It Works


Since then deep learning has been adopted by industry leaders like Google to recognize objects on android phones, Facebook used deep learning for auto tagging faces, the auto industry used it for self driving cars and there are many other industries which adopted deep learning to solve complex problems. Recently, a deep learning model trained on 150,000 skin cancer images was able to detect skin cancer better than average dermatologist. By understanding and predicting human behavior, machine learning helps create personalized marketing campaigns that increase conversion rates, average transaction size, and frequency of purchase. A trained machine learning model will eventually predict breakdown events long before they happen and save the cost of towing the vehicle.

How is predictive data shaping the auto industry


How is predictive data changing the automotive industry and what changes can we expect to see in the future? Connected and autonomous cars are going to benefit most from the inclusion of predictive data because their design centers on data collection and processing. As more and more connected cars hit the roads, data management is going to become an essential tool. Predictive data has already shown potential for preventative maintenance, but this same application could be used to predict software problems and security flaws as well.

The most detailed maps of the world will be for cars, not humans


Here started work building HD maps back in 2013, according to Sanjay Sood, the company's VP for highly automated driving. "Starting last year, we're essentially building the road network in order to have this map available for the first fleets of cars that are going to be leveraging this technology that are going to be showing up on the roads around 2020," said Sood. But a more scalable solution involves leveraging the embedded sensors in cars already using HD maps to navigate. "Here's adoption of our deep learning technology for their cloud-to-car mapping system will accelerate automakers' ability to deploy self-driving vehicles."

AI in self-driving cars - NVIDIA and Bosch collaboration


Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.

IoT and Machine Learning are invading our lives. Is it a good thing?


The Internet of Things (IoT) and Machine Learning are two of the hottest technologies of our time. At first glance, I really like some of the ideas that are being proposed by the combination of Internet of Things and Machine Learning: smart light bulbs that know when to turn themselves on and off; smart kettles that will make sure you'll have freshly made coffee at the exact time you want it without having thought about it; smart fridges that will do the grocery for you; smart locks that will recognize you and unlock with the tap of a phone. I don't have to worry about leaving the door unlocked because my smart lock will automatically lock the door when it senses that the house is empty. Combined with the power of the fast evolving VR technology, IoT will enable us to travel to distant locations, feel things, meet people and do a lot more without ever setting foot outside our homes.