You may not find it surprising, the very first robot lawyer did exist. In fact, the world needs more of it to ease the workload for the legal community. Of course, we are not in time for mass deployment for handling big legal cases yet. But they are capable of helping draft legal letters, what

The term ML isn’t new, it was invented in 1959. Machine learning enables the computers with the right software application to learn from the historical data and formulate a solution which can be used to solve similar problems in future, without the explicit need of further instruction by humans to inform computers of all the combinations of

Model Operations (ModelOps) is to focus primarily on the governance and life cycle management of a wide range of operationalized AI (Artificial Intelligence) and decision models. This includes knowledge graphs, optimization, rules, machine learning, agent-based models, and linguistics. Model Operations (ModelOps) is at the center of every organization’s enterprise AI approach, if you are yet

Recently, many organizations and enterprises had realized the benefit of adapting composite AI over machine learning in managing data analysis. Previously, machine learning which is a method of data analysis that automates analytical model building a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions

Hyperautomation has goes beyond our typical automation technology. In simple words, hyperautomation makes use of the bot’s intelligence by creating a union of different automation, all of which complement each other for a smarter outcome. Upgrading robotic processes with intelligence, creates an intelligent digital workforce that can reduce the human burden. With technology and humans

The enthusiasm for Machine Learning (ML) can be appreciated by essentially understanding that there is a development in volumes and varieties of raw data, the various procedures, and hence, there is a need to find affordable data storage. The need of the hour is to implement a method by which organizations can quickly and automatically

Artificial Intelligence (AI)

Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. This post focuses on discussing the theory of transfer learning, under Deep Learning (DL) in Machine Learning (ML) context from the educational aspect. The first theory of transfer

A Continuous Intelligence (CI) framework starts with the process of acquiring data and, with the help of analytics and machine learning (ML), derive insights from it to be able to make confident decisions and actions which are in turn reviewed and validated, to ensure the organisation continuously improves its decision-making capabilities, for decision support. Building

Accelerate government transformations success rate

Indeed, that 10 years from now, we begin from the end, in case for those yet to see what the change and impact will be. Mega trends are concept we use for describe global, sustained and macro economic forces of development that impacts business, economy, society, cultures and personal lives thereby defining our future world

Augmented Analytics Is the future of data and analytics. Augmented analytics or Augmented Intelligence, an approach that automates insight-finding by incorporating natural language processing and machine learning (ML) to create better data preparation method and data findings. This Augmented analytics also makes data easier to understand by presenting completely in sequence and getting clear results,

Digital transformation is fundamentally changing the way industry work in many different ways, from customer interaction, to consumption of content. Digital transformation has become much more than just technology alone, it is now an essential part of any food and beverage that wants to be successful, over barriers to innovation, leverage those innovations to better