AI Strategy — A battlefield that even Big Firms struggle

Battle scene

Artificial Intelligence, FutureA deeper look into the Big Ideas 2021. I was talking with a friend of mine who is experienced in the stock market. He was analyzing the Big Ideas 2021 deck created by the ARK Invest’s team where they presented their thoughts on emerging technologies and their future opportunities.

Read More

Regulation is coming to the AI world— the only question is whether it is forced by us, or upon us…

AI regulation roadmap

Data Scientists and AI practitioners in the near future will not only have to be well versed with the Engineering that goes into these applications, but also have to consider ethical, legal, and philosophical implications of these solutions.

Read More

Using AI to detect and count Plastic Waste in the Ocean

AI environment

Odei Garcia-Garin et al. from the University of Barcelona have developed a deep learning-based algorithm able to detect and quantify floating garbage from aerial images. They also made a web-oriented application allowing users to identify the garbage known as floating marine macro-litter, or FMML, within images of the sea surface. Watch the video.

Read More

AI progress depends on us using less data, not more

Data globe

To avoid serious downsides, the data science community has to start working with some self-imposed constraints: specifically, more limited data and compute resources. A minimal-data practice will enable several AI-driven industries — including cyber security, which is my own area of focus — to become more efficient, accessible, independent, and disruptive.

Read More

The product-Market fit of AI technologies

AI use cases Retail

A strategy is a roadmap for organisations to hone them to their respective objectives. From marketing strategies to product roadmap strategies, success is cemented on how such plans are executed. Along the way, a lot has to be negotiated and metrics traded off against one another that will either provide a tactical remedy or a strategic panacea. While it is the team that works towards such a role, the vision of the leadership ought to encompass and adapt to the various weathers of corporate ups and downs. This whole process…

Read More

Thought-detection: AI has infiltrated our last bastion of privacy

Thought detection

Our thoughts are private – or at least they were. New breakthroughs in neuroscience and artificial intelligence are changing that assumption, while at the same time inviting new questions around ethics, privacy, and the horizons of brain/ computer interaction. Research published last week from Queen Mary University in London describes an application of a deep neural network that can determine a person’s emotional state by analyzing wireless signals that are used like radar. In this research…

Read More

The Pendulum Indicator for Range Trading – a Python study

Developing & Back-testing a New Indicator Using Range and Volatility. Contrarian indicators are numerous and there are unlimited ways to construct such indicators. The issue is profitability, consistency, and signal frequency. The first one is obviously related to an indicator that provides quality signals around market inflection points. It can never be accurate but if on average the good signals are slightly more than the bad ones, then with proper risk management, a good trading system can be created.

Read More

Emerging Artificial Intelligence and Machine Learning trends

people beside a monolith

Artificial Intelligence and machine learning are already growing at a fast pace. Research shows that 77% of the devices that we use are AI built into them. With the assistance of machine learning capabilities, AI will play a big role in future to streamline a lot of things. As the demand and interest rise in adopting these technologies, new trends emerge each year. Let’s learn what we can expect from AI and ML to bring in the upcoming year.

Read More

Big Data, AI & Banking 4.0

Device with Use Statistics

Gone are the days of manual transactions. Adoption of computers scaled the capabilities of banking institutions. Thanks to computers, banks could handle millions of transactions very efficiently and quickly. Digital transactions were easy to store and retrieve. As computing technologies evolved, newer methods of banking got introduced. This led to generation of new digital banking services.

Read More