Data is everything. In fact, thieves are now targeting consumer and business information rather than financial assets, simply because there is so much more value in data. Find out more about how GDPR is changing the way we all work with data in the midst of this Information age. Read More

Traditional sources of energy are in decline and the world is shifting towards renewable forms of energy. There are around 50 solar power plants in India. These power plants incorporate solar power grids, inverters, batteries and various sensors for monitoring and control. There is a requirement for efficiency and to detect system faults; to this end the data generated by sensors must be constantly monitored and analysed. With cloud service technology, solar grids senso... Read More

This paper describes the advantages and costs of patenting, as well as what can be patented today in the AI domain and what instead needs or should be kept undisclosed. Read More

With recent breakthroughs in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), financial companies are beginning to pass the task of identifying and executing trades on to automated systems. Algorithmic Trading (AT), smart stock advisors, and ‘self-learning’ Reinforcement Learning (RL) agents now powerful tools in the financial decision-making process. In this white paper, we’ll discuss how financial companies can benefit from th... Read More

This article provides a series of forecasts regarding the development of AI and robotics. We have discussed some AI topics in the previous posts, and it should seem now obvious the extraordinary disruptive impact AI had over the past few years. However, what everyone is now thinking of is where AI will be in five years time. I find it useful then to describe a few emerging trends we start seeing today, as well as make few predictions around machine learning future develo... Read More

This paper illustrates tips and tools to run a data science practice within an organization. It will also give some tools to understand the stage of data science maturity of the company. Read More

Propensity modelling is a statistical approach and a set of techniques which attempts to estimate the likelihood of subjects performing certain types of behaviour (e.g. the purchase of a product) by accounting for independent variables (covariates) and confounding variables that affect such behaviour. Read More

This article follows the first piece on machine learning describing how AI interacts with neuroscience, as well as how hardware and chips are getting created and modified to be more efficient for specific AI algorithm Read More

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area Read More

This is a very basic introduction to different techniques currently used in machine learning (artificial neural networks, Particle Swarm Optimization, Evolutionary Algorithms, etc.). Read More