Why Data Is The New Oil

Artificial intelligence is only as good as the data it crunches.

The field of artificial intelligence is red hot thanks in part to big companies like Google, Facebook, and Microsoft using AI-related techniques to train computers to recognize objects in photos and understand human language.

But these companies were only able to train their computers to perform these difficult feats because they have the enormous quantities of data that’s required. Companies that want to use artificial intelligence techniques like machine learning algorithms to improve their businesses will need to either have or acquire copious amounts of data, which will only become more valuable as the field of AI advances.

That’s one of the takeaways from a panel on artificial intelligence Monday in Aspen, Colo. during Fortune’s annual Brainstorm Tech conference.

“Data is the new oil,” Shivon Zilis, a partner with the venture capital firm Bloomberg Beta, said about data’s increasing value.

Although companies like Google GOOG 0.57% , Facebook FB 1.09% , and Amazon AMZN 0.78% have open sourced their own artificial intelligence software so any programmer can access the code and use it to build their own apps, they are not making the necessary data available, Zilis explained. These companies are releasing these AI software toolkits for free so they can recruit more engineers to their companies, she said.

When it comes to competition, it’s the data these companies posses that’s more important than the actual AI software tools they use and release to the public.

David Kenny, the general manager of IBM’s IBM 1.12% Watson data crunching service, agreed with Zilis and said “the value of data goes up every day AI advances.”

“Data will become a currency,” Kenny said. He also explained that only 20% of the world’s information is stored on the Internet, with the other 80% being privately held within companies and organizations.

Additionally, Zilis discussed the history of so-called “AI winters” in which the hype of AI failed to meet the general public’s expectations, and led to periods of years of declining research into AI during the mid-1970’s and the late 1980’s to early 1990’s.

Today, however, the rise of the cloud and the ability to access tremendous amounts of computing power to analyze huge amounts of data has the potential to strengthen the existing AI-related algorithms and lead to new more powerful algorithms. Because of these technological developments, Zilis does not believe companies will lose interest in AI.

“Are we going to hit a winter?” asked Zilis. “Absolutely not.”

( Source: Fortune Magazine, written by Jonathan Vanian)

The future of computer vision

Within 20 years, computer vision will be a commodity component within the fabric of the worldwide analytics infrastructure, similar to the telecommunications infrastructure of today, containing distributed analytics and databases services. Application-specific analytics and intelligence will be added to all devices by default within the Internet of All Things (IoAT), including visual, audio, textual, numerical and sensor analytics. A few new Neural Computing (NC) architectures will be standardized in silicon, applicable to all forms of data.

Major government and corporate initiatives are currently underway, similar to the space race, to create artificial brains which will contribute to the NC of the future. Future systems will contain application-specific mixtures of NCs, CPUs, GPUs, sensor processors, and IO. The underlying technology will be a near zero-cost commodity, and the revenue will come from services, similar to phone or cable services.

Imaging devices will be more accurate with more on-chip processing power for image processing and analytics. Image processing algorithms will be similar to those used today, with no major innovations expected. The computer vision community will standardize on a few feature descriptors and features learning architectures, enabling a generic NC platform for application-specific innovation and market growth.

Computer vision and analytics systems will be far superior to the primitive deep learning models in use today, combining deep-learning and multivariate wide-learning together, with improved feature descriptor models and comprehensive training protocols enabled by ubiquitous databases containing labeled samples of any type of image or data such as audio, textual, financial, and information about a person, place or thing. Personal privacy will virtually disappear.

Within 20 years, most mobile and hand-held devices will contain NCs connected to remote analytics services to enable personal, business, commercial, governmental, military, law enforcement and legal organizations to perform combined audio, visual, historical, and textual evaluations to enable shopping, tourism, employment interviews, banking, commerce, law enforcement or housing applications.

Neural computers will evaluate facial expression, body language and clothing style for emotions and intentions, as well as audio evaluation of the tone and rhythm of spoken words for latent intentions and assumptions, including analysis of the words from email, texts, blogs, and historical records from local governments, academic institutions, purchasing records, and other financial transactions.

The analytics will provide scenarios and what-if analysis and prediction of future behavior within a set of circumstances, for example allowing a commercial enterprise to design situations or opportunities to suit their preferences and influence purchasing behavior, or by allowing governments to develop policies and propaganda to test the reactions of a population, their preferences, intentions and personal beliefs.

Computer vision will be a central component of the future of the analytics infrastructure. Imagine government policy and business plans being designed around the predictions generated by an NC to form future programs and evaluation of each program by another NC to form recommendations, with the best recommendation being chosen by another NC to send to the final decision authority – a human…or an NC?

(Source: www.KrigResearch.com)

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Bluetooth Internet of Things Functionality is Coming in 2016

Nov 17, 2015 by Michael Guta

The Internet of Things (IoT) will connect billions of devices, and this connectivity is going to be driven by technologies such as Bluetooth to bring them together seamlessly.
Bluetooth Special Interest Group (SIG) just announced developments of key features that will be essential for the IoT, which will be available in 2016. This includes longer range, higher speeds and mesh networking.
Mark Powell, executive director, Bluetooth SIG, said, “Bluetooth has been adopted by countless developers and manufacturers as their connectivity solution of choice for the IoT. The new functionality we will soon be adding will further solidify Bluetooth as the backbone of IoT technology.”
The improvements Bluetooth has announced will yield benefits for better IoT applications across the board.
The first improvement is the range, which is going to be up to 4x more than existing technology. What this means is, fewer modules can be deployed while covering the same amount of space, whether it is indoors or outdoors.
The second enhancement is a 100 percent increase in speed. The speed in which data is transmitted in IoT deployments can introduce new possibilities. For real-time services in healthcare, critical infrastructures or security, speed is extremely important.
The third development is mesh networking, which is a key architecture for the IoT. Mesh is a network topology which allows devices to be interconnected between network nodes. Each node can accept and forward data to another node. This architecture provides a more cost effective scalability and easier deployment.
Combined, these improvement will give developers, service providers and hardware manufactures new possibilities in the application of Bluetooth for IoT deployments.
Until very recently, the Internet of Things and now the Internet of Everything were niche terms used by people and organization in the know. But today, the incredible forecast and potential of the technology has brought it to the public at large. One of the more bullish forecasts comes from Cisco, which has the IoT market reaching up to $19 trillion with 50 billion connected devices by 2020.
Connecting everything may conjure images of Orwell’s Big Brother, but that aside the world will be a more efficient place. As it stands, the rise in population and decline of resources demands the use of a technology that can keep track of how we are able to manage everything around us.
The way we live, work and play is going to change, and new opportunities and challenges will present themselves, with the IoT playing a critical role.
The organization said support for the new IoT and other features, as well as profile updates contained in the 2016 roadmap will be previewed in the coming months.

(Resource: Small Business Trends)