There aren’t many people nowadays who would not have at least heard of the term “Artificial Intelligence” or AI, with all the frenzied media hype and the many romanticized and science fiction movies around it. AI has become a house-hold term though much less a reality despite all this hype.
The greatest impediment to AI to date has been the fact that programmers need to ‘program’ (a software) and for that software to perform a certain function. It cannot therefore think and act on its own. It will only do what it has been programmed to do and in response to certain circumstances, the so-called AI that scientists kept developing over the years could only do just that – respond to a specific set of circumstances based on what it was programmed to do. What AI could not do till now was to think on its own and respond to a new type of circumstance and to gather ‘experience’. This landscape though seems to be changing now and soon may be part of the history in pursuit of real Artificial Intelligence.
With the evolution of the ICT domain, the terms “Machine Learning” and “Deep Learning” have found their way into modern tech terminology with the discussions around their use spanning across Big Data Analytics, BI (Business Intelligence), and most importantly AI (Artificial Intelligence).
Artificial Intelligence and Machine Learning?
Think of a machine that can think and respond as a human being with zero defects in nature; it would be a perfect example of an AI in real life. Add an artificial consciousness to it to make it much more perfect.
Machine Learning itself is a form of AI, perhaps the most promising form of AI to date. This enables certain algorithms to read or observe and gather knowledge and experience much the way we do and learn and evolve to a certain extent and respond to certain situations through that self-learning without executing any pre-programmed queries like an ordinary application. This type of AI aims at the improvement of computational thinking that can self-learn and advance when new data or information is presented.
Such advanced technologies have improved or enhanced many activities that require human intervention to a level where no human involvement is required. For example, if you are using Google search that is powered by complex ML algorithms, the algorithms will enable Google to come up with new search signals and aggregations to provide an intelligent user experience that is personalized. (Google’s “RankBrain Algorithm”). This is actually in existence though it is not easy to believe and we take it for granted every time we do a ‘simple’ Google search. You will have noticed that it delivers more appropriate results within a split second: this is a ML-based AI in action behind all that apparent simplicity.
Deep learning on the other hand is very similar to Machine Learning, but with the difference that it’s designed to study and learn a very specific set of information more deeply and react more intelligently to that data. This difference between ML and DL is somewhat akin to a layperson and a trained professional doctor responding to an illness: one will look at it very generally and learn and react to a certain extent while the learning and response of the other one are at a deeper or more advanced level. The actual difference here is based on the algorithm behind the learning ability which will determine the extent of the learning and the relation.
With interconnected neural networks (a computer system sculpted basing the human brain and nervous system’s designs) and Deep Learning algorithms, Machine Learning has earned its way into modern-day business intelligence and data mining to enhance data analytics.
So how will all this affect us? Here’s how. Some examples of the applications of Machine Learning-based systems are:
- Improved AI – Vehicles are driving themselves with collision avoidance reducing the risk to human lives and autonomous Nano mites treating cancer cells in most complex systems in the human body such as the human nervous system.
- Improved AI game playing – for years we are used to playing computer games with the computer as an opponent where most of its moves are predictable since they are preprogrammed. However, when an AI comes to the play backed with advanced ML the computer will be hard to predict and will give you that experience of a lifetime.
- Complex data analysis – This will enable in-depth views of any kind of data sets regardless of the quantity or the complexity. Paving the way towards predictive and prescriptive data analytics with higher accuracy.
- Developed InfoSec measures – there will be intelligent biometric access control which is so smart which will predict criminal behavior even before a crime takes place. (not as in the movie “Minority Report” though) We already see technologies such as “Cognitive Vision” being used to identify certain faces and objects through camera feeds.
- Improved processes – Financial systems, banking systems, Accounting, or any data-driven system will be more efficient and with improved accuracy will give timely reports and predictions reducing any opportunity risk. Not only finance, we can expect legal court proceeding outcomes will also be predictive thanks to ML in the near future. Human judgement will easily be replaced by the machine soon.
By the time this article is getting published, you may have already witnessed the wonders these technologies can bring us. But that is just the beauty of it. Imagine if things go rogue? Yes, it will bring certain negative consequences as well. I let you take the judgement here. Businesses nowadays have already taken a step forward by adopting technologies such as Big data analytics, AI driven data science…etc. The visionary leaders behind such organizations foresee the value and the business impact such investments will bring them in the near future.
Here at Zone24x7, we work closely with such technologies building great customer centric products and services that empathize and resolve their most unique business challenges. With decades of experience in Machine Learning and Artificial Intelligence, Zone has produced a few key products/services that help any business to “Cross the chasm”;
- The Analytics Center: A data platform to build, deploy, and manage big data solutions with AI-powered actionable advanced analytics
- FaceAuthMe: A facial biometric authentication platform that uses advanced machine learning and AI algorithms to provide Strong Customer Authentication
- SerendibAI: An artificial intelligence-powered cognitive vision platform that analyzes video footage to provide actionable insights
- MATRIX24x7: An IoT driven remote monitoring and management platform that can be integrated with a range of external systems to give users centralized monitoring and troubleshooting capabilities
With these technologies any business organization will be equipped to deliver more efficient, reliable and experiential services to their clients.
Are you ready to lead the next generation of the technology evolution of your business? It is your call now.