This is a short guide to AI Accelerators and Incubators worldwide

AI Accelerators and Incubators - Its a topics which will always be at top of any AI innovation centers across globe

This paper describes how AI is revolutionizing business models

DeepMind - this artcile when read again added more insight .Liked it looking forward more such articles

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 developments. The following proposed list does not want to be either exhaustive or truth-in-stone, but it comes from a series of personal considerations that might be useful when thinking about the impact of AI on our world. The interesting aspect of those is that are predictions made one year ago, and many turned out to be true.

few emerging trends we start seeing today, as well as make few predictions around machine learning future developments. - Agree and nicely written

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 the ongoing AI revolution in their investment and technical analysis, portfolio management and diversification, and other important areas of investment decision-making. Hopefully, by the end of the paper, you’ll have a better understanding of how AI can boost a financial investment strategy.

Machine Learning (ML), and Natural Language Processing (NLP - NLP a topic growing alot. with its increasing applications

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.

Artificial Intelligence In Search of Protection -A paper worth a share given its flow and content..thanks for sharing across

This article is about the future of AI. The following proposed list does not want to be either exhaustive or truth-in-stone, but it comes from a series of personal considerations that might be useful when thinking about the impact of AI on our world.

Future of AI is a topic of many global discussion. Its usage and success is the key driving factors to mark its future

The objective of this paper is to provide a comprehensive perspective on the advancements in the area of Artificial Intelligence and how the infusion of cognitive customer engagement can positively impact the infamously unpredictable consumer cyclical retail industry.

The Future of Artificial Intelligence in Retail - The success factor model, data availability are some of the key factors

This paper focuses on how AI is disrupting the insurance sector. Starting from the conventional insurance process, we will move through the specific novelties AI is introducing in the field in order to understand how AI is completely changing the way people buy and think of insurance products. Finally, an eight-group classification is proposed for the insurtech ecosystem.

AI is introducing in the field in order to understand how AI is completely changing the way people buy and think of insurance - Agree

Discrimination and fairness in AI and machine learning: How to detect and mitigate bias in the financial services industry

Discrimination and fairness in AI and machine learning: - A topic and debate.. Nicely written

Ideally candidates for job roles in Natural Language Processing (NLP) should have command over both linguistics and computers. He should understand the concepts of linguistics like speech recognition, information extraction, sentence fragmentation, parts of speech, and so on. Python programming language is one of the best suited for NLP, many tools and libraries are available for supporting NLP tasks.NLTK, the most widely-mentioned NLP library available for Python.

1. Computer Science Fundamentals and Programming2. Probability and Statistics3. Data Modeling and Evaluation4. Applying Machine Learning Algorithms and Libraries5. Software Engineering and System Design