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CHATBOTS are a clear product of Technology under the Artificial Intelligence (AI) domain. Artificial Intelligence (AI) is a simulation and mimicking human intelligence and actions like how we interact with one another.

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The development and rise of chatbots paved way to different speculations and thinking if we are going to be replaced by robot or are, we really being hype. Today, we see a lot of companies and organizations are spending huge amount of money to create business applications where chatbot with high level of learning capabilities can now communicate with human.

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Through the development and improvement in technology, there are different platforms that are being improve because of the increasing sophistication of AI which makes chatbots more robust and now suitable for a broader range of applications.

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Improvements in Natural Language Understanding is highly necessary towards a very smooth-based conversations instead of a single intent and responses. Improvements in Natural Language Understanding require more time, in-depth research and studies and of course, investment.

Machine Learning on the other hand is an application of Artificial Intelligence. This is an algorithm or science of getting machine to learn and to improve its performance by continuously incorporating new data into an existing model.

We, humans are learning from our past. We are learning through our past experiences. Machines or computers can only follow human’s instructions and whatever we ask or programmed to it, basically, it works accordingly. Human’s wish is computer’s command. Human intervention plays a major role in training computers basically by feeding BIG DATA from different sources. Humans are using past or historical data, structured and unstructured data to the machines. With the use of different algorithms, computers are being trained to understand the ingested data. Machine Learning is not always coding or creating a script to learn; Machine can learn without being explicitly programmed. With the use of different algorithms, machine could self-learn from the data that are ingested to it. The development of self-driving cars, speech recognition, image recognition, well versed web search engine, and understanding of human genome are a product of a Machine Learning.

Predictive Analytics is a domain under the Advanced and Revolution Analytics which is used to make prediction about the future that has not yet happened and was just about to happened. Basically, it predicts future events. Predictive analytics uses a variety of scientific techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze historical and current data to make predictions about future.

Robotic Process Automation is another product of technological advancement. Basically, it uses technology and algorithm to automate tedious and repetitive task to lessen the burden of the people handling the certain tasks. This is for the resource people to handle on a higher level of task. Through RPA, operations in the enterprise level will streamlined the process and can reduce costs.

And with the advent of technology, all these domains are seen to be in sync. RPA uses some Machine Learning Algorithm and it may be using Predictive analytics in some instances. There are also AI in it.

It is truly a must for every company to flavor their workforce with people that are into these expertise to cope up with the growing demand in Data Science, AI/ ML, RPA and Predictive Analytics and other Analytics requirements which will help the company to survive and positioned itself in the market. As we knew, business competitions are very tough so they should showcase the best of service that they can do to their stakeholders.

We, at the Data Engine Training and Consultancy (DETCPh), are aiming to help individuals, businesses and organizations to cope up with these changes in Technology. We provide technical services to those who seek.