Embedded analytics allow users to integrate business intelligence and its processes into another software application.

Embedded real-time reports and dashboards allow end customers to cheque the data saved in the product…

Advanced Analytics helps to discover insights by applying machine learning to the analysis process. This enables improved decision-making and efficiency of the business. …

The development of business intelligence

Like many technologies, business intelligence models are also evolving. From the early days when BI was limited to excel worksheets, data was mainly stored on paper. Today, BI platforms have evolved so much that they define the course of action for organizations with new and novel approaches to improving efficiency in production, delivering sales and service experience to customers. In addition, knowing where our customers are,…

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics

Let us see how...

Different approaches in Data Science and analytics have been originated in the field of statistics.

AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents". 

The way is to treat AI as extending conventional analytics with a…

Summary:  Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations.  We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen.

If you’re a CEO or any other flavor of top executive leading a…

Summary:  We are entering a new phase in the practice of data science, the ‘Code-Free’ era.  Like all major changes this one has not sprung fully grown but the movement is now large enough that its momentum is clear.  Here’s what you need to know.

We are entering a new phase in the practice of data science, the ‘Code-Free’…

Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are looking at ways to make compliance procedures more effective and accurate. Big Data in banking is slowly gaining momentum and becoming an inevitable necessity across the banking industry. As…

Big data analytics finds immense application across the entire business. One area which can have direct, measurable and visible impact is the area of customer service. Data has been used since time immemorial to improve customer service, but it is only recently that the full power of predictive analytics is being applied in this function. Organizations, both large and small, are using big data…