Tag: Machine Learning

Artificial Intelligence

Where industries will put practical AI to work in 2018

Industries have started applying practical AI to solve their business problems. This story covers industry specific use cases identified by PwC in recent study where industries will put AI to work in 2018:

Artificial Intelligence Chatbot Natural Language Processing

4 Business Applications of Natural Language Processing

With Natural Language Processing (NLP) getting popular day by day, what are the 4 key applications of NLP that businesses will be using in 2018? Read Here!

Chatbot

Google Vs Chatbots: finding the common ground

Humans have long been using AI & NLP through Google search without even realizing this. But where do Chatbots find the common ground with Google search?

Machine Learning

Deep Learning: 5 Ways How Insurance Companies can adopt it

New technologies often trigger unrealistic expectations in the market. It happened with the introduction of computers and yet again during the early years of the Internet. While adopting a new…

Chatbot

The 8 Things a Chatbot needs to be called Intelligent

To embrace the chatbot revolution effectively, here are the 8 things enterprises must consider while differentiating intelligent chatbot from a generic one:

Artificial Intelligence Machine Learning

How can Artificial Intelligence help in cyber security?

Cyber Security has become a major concern for every enterprise. The role of Artificial Intelligence in Cyber Security is to provide power and speed to tackle huge volumes of attacks with countless variations.

Deep Learning

Google and Deep Learning : How are they using it?

The article explains 4 ways the tech giant is leveraging excessive benefits of Deep learning to solve complex problems and make accurate predictions:

Advanced Analytics Machine Learning

Introduction to Reinforcement Learning

Reinforcement Learning is a type of learning algorithm in which the machine takes decisions on what actions to take, given a certain situation/environment, so as to maximize a reward. The difference between supervised and reinforcement learning is the reward signal that simply tells whether the action (input) taken by the agent is good or bad. It doesn’t tell us anything about what is the best action.

Data Analysis Data Mining Data Modeling

Variable Reduction: An art as well as science

Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophisticated data mining techniques,…

Artificial Intelligence

Intel AI Day: Bits & Bytes

Intel organized its own version of AI day on 4th April. For those who couldn’t make it in person, the event was webcast live. Various Intel leaders spoke about the…