Understanding the Business Potential of Deep Learning Technology

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Understanding the Business Potential of Deep Learning Technology requires that we first understand what deep learning is and how it will impact the business and professional worlds on the whole. It’s no secret that AI and Machine Learning technologies are quickly becoming a staple in just about all aspects of business, with big promises to create a new wave of jobs, and even better ones. We’ve been hearing about this for over 10 years now since its inception, and its momentum only seems to be growing. Just as every other technological advancement has created new and exciting opportunities for businesses and professionals, Deep Learning is no different. However, in order for us to fully appreciate the impact and promise of this technology, it helps to look at how it came to be, how it works, and what businesses stand to benefit from it.

What is Deep Learning

Deep Learning started as an Artificial Intelligence project at the University of California, Berkeley. A group of researchers there were tasked to build a neural network that could “think” by itself. The project was headed up by UC Berkeley’s neuroscientist, professor Yann LeCun. His work focused on learning, specifically using neural networks to teach computers what to do. LeCun’s work helped to lay the groundwork for what is now Deep Learning.

In order to build an artificial intelligence system that can think, you need to have massive databases filled with data. Of course, the more data you have, the easier it would be for your AI system to learn without human intervention or even software help. LeCun realized that the database needed to be very large, and even took the time to train his team to build it using deep learning principles. The results of his hard work would make artificial intelligence experts everywhere sit up and take notice, and would help to pave the way toward self-learning AI systems that could help you do your own learning.

How Deep Neural Networks Learn

Deep Learning now has its roots firmly planted in academia and is beginning to impact business potential as well. It is now being used in high-end computer applications and even self-driving vehicles. It will most likely soon be a staple in KPI’s of the most Fortune 500 Companies. Will we see this technology in our everyday lives? Well, it remains to be seen, but already, there are already many notable examples of artificial intelligence in everyday life, like Google, Amazon, and even Facebook.

We also now know that Google’s AlphaGo is a breakthrough in artificial intelligence, being able to beat the grand champion of the game, the grand champion of the world, and the current world champion. AlphaGo is using a new artificial intelligence system called Deep Learning to leverage on its experience in the game to win each game. Deep Learning involves using several programs with each having its own understanding of how to evaluate an outcome and interacting with one another via a web-based interface.

Is Deep Learning good? That depends on whether you believe in black and white, or if you think it can replace expert programmers, and even the need for humans to write code. To those who believe in white and black and want their artificially intelligent software to “think” rather than merely replicate, Deep Learning may be perfect. However, it does have a flaw. Its algorithm was released in the same month as the Deep Learning project was initiated, and the two have an almost immediate compatibility.

What’s Driving the Rapid Growth of Deep Learning

There is no doubt that as more sophisticated programs are developed and made available to the general public, the concept of business intelligence will become more prevalent. Will this technology replace human intelligence? In all likelihood, not. Will it provide businesses with an edge over their competitors? Of course, and quickly.

The potential impact of Deep Learning is here and now. If your company does not currently use such a technology, now is definitely the time to start thinking about how you can best implement it. You must understand the potential applications before you make your decision. For more information on how artificial intelligence can be used to optimize the performance of your organization, please visit Coaching Intelligence.

How Deep Learning is Powering AI in Businesses

AI in the services sector

AI in the services sector is one of the new frontiers of digital technology and deep learning in AI technology is the key to unlock its potential. AI refers to artificial intelligence that mimics human behavior for complex interactions. It also refers to artificially intelligent systems that can take full control of human decision making or decision optimization. AI in the services sector refers to Deep Learning which involves building very deep neural networks and then using this network to deliver personalized services to its customers. In other words, it aims at providing highly individualized services as per the specific requirements of individual customers.

AI in Company

Today every company is working towards transforming their business process by making automation possible and deep learning is one such technology that has made this possible. Today a wide variety of tasks can be performed by artificial intelligence like speech recognition, natural language processing, image recognition, speech synthesis, and web mining etc. With the help of deep neural networks for the tasks are much simpler and can be automated. This is one important factor that drives the popularity of deep learning.

With the help of deep learning, you need not have any specific computer expertise. Today every user can afford this and thanks to the rapid improvement in technology. Earlier it used to be expensive and had very complex architecture. But now, thanks to the advancements in technology, it is much more affordable. Companies that use deep learning for their services can offer personalized services to their customers. It enables them to provide answers to specific questions from their database, with the help of highly advanced web applications.

Apart, from providing personalized solutions to its customers it can also offer efficient solutions for specific problems. One example is identity verification. Identity verification is a crucial task performed by several companies in order to track the customers, monitor the traffic in the system, prevent hacking, and other frauds. Thanks to the advancements in deep learning artificial intelligence it is now possible to perform all these tasks very efficiently.

AI in Banks

Now banks can use deep neural networks for all their identity verification needs. They can check all the records, videos, photos taken by security cameras, etc and categorize the same according to various factors like age, sex, looks, location, usage of mobile, etc. These systems can even suggest the right options to the customers based on their usage of mobile phones, location, age and so on. Banks are using these systems for various purposes, as explained above. Apart from banks this technology is also being used by insurance companies and online shopping portals for proper authentication.

AI in business?

In the case of retail, how deep learning is empowering AI in business? Retail shops are among the largest customers of all types of businesses. As they buy many products over a period of time, identifying the customer-specific information becomes extremely important. Deep neural networks used in these systems can take the available data and feature wise partitions it into different areas like product type, price range, category and so on.

 

Another application of artificial intelligent deep learning is controlling of warehouse operations. It can be used for anything from stock taking to inventory management. If you want to give orders to the staff in the warehouse, how deep learning can be used to train the robots according to the specifications you want. This will help them provide correct orders every time without making human intervention. In the case of scheduling tasks, the program will generate the optimal number of hours to work based on the productivity level.

Artificial intelligence is the future of business

Deep-learning artificial intelligence is the future of business. Today’s systems can process all the data that comes in, predict the future usage of products, and make smart recommendations on how to run the business. AI is the basis of all financial services including online banking, insurance, retail, and other industries. Many large financial institutions are using artificial intelligence to improve their business models. If you want to build better business opportunities, invest in the technology that can create better opportunities for you, and improve your bottom line, look into artificial intelligence.

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