Decisions organizations make today about building their AI pipelines will have major impacts on the future of AI maintenance for their organizations. But is everyone thinking about the future?

The path taken today could impact the ability to add new functionality in the future or require starting from scratch. In order to build the right AI…

Airport runway foreign object debris (FOD) detection systems have been increasingly deployed by airports as a key part in maintaining the safety of the aircraft personnel, passengers, and integrity of aircrafts. Over the years, such detection systems have become more important in the light of growing instances of FOD damages. In particular, due to human…

AI is central to the future competitiveness of nations. Here is a summary of the major initiatives from nations who have declared a national AI strategy. I have listed the original source at the end of the blog. I have added some links in the case of each nation which I found interesting

United States of…

Cassandra is a popular, tried-and-true NoSQL database that supports key-value wide-column tables. Like any powerful tool, Cassandra has its ideal use cases - in particular, Cassandra excels at supporting write-heavy workloads, while having limitations when supporting read-heavy workloads. Cassandra's eventual consistency model and lack of…

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…

The year 2021 may well see a turn in the trajectory of AI. As DataRobot notes in its predictions for the new year, “Within the enterprise, we finally expect a wholesale move from ‘Experimental AI’ to ‘Operational AI,’ as organizations must move out of the lab and beyond pure experimentation.” In fact, Gartner is forecasting that 75%…

Artificial intelligence, among the most prevalent technologies in the world at the moment, has made significant contributions to the world around us ever since it first emerged on the scene. Think about it — the chatbots that engage with us when we visit a website, the smart speakers in our homes. They are all artificial intelligence-driven tools that…

Artificial Intelligence (AI) and Machine Learning (ML) are already being leveraged for increased efficiency and greater success in public web data-gathering operations.

It’s not a secret that web scraping can be complex and challenging. Part of that challenge is the fact that much of the process consists of repetitive and…

Database security refers to the different tools and processes employed in the protection of personal data and sensitive information to prevent unauthorized access and preserve the confidentiality, integrity, and availability of the data. It includes some practices such as digital and physical access restrictions, encryption, etc. It is one of the…

Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist can actually engage in science, there are several steps they must first complete:

1. Find where…

Nowadays, if we look around, we can see that everything from jobs and entertainment to smart homes and vehicles depend on some type of computer software. So before the software is released to consumers it is essential that the software development companies run relevant tests and…

• Statistical analysis is poorly misunderstood by many, resulting in array of problems.
• There are many ways to ruin your data analysis.
• 4 of the less well-known mistakes to watch out for.  

I recently came across an article in eLife (a peer reviewed journal) called Ten common statistical mistakes to watch out for when writing or reviewing a manuscript [1]. Although the paper was geared towards reviewers of research papers, many of the…

Data privacy governs how organizations collect, share, store, and delete personal data. In another word, data privacy safeguards user's rights to private preferences. There are laws established to ensure compliance with data privacy - General Data Protection Regulation (GDPR) and Calfornia Consumer Privacy Act (CCPA).

Data Privacy in…

Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning professionals versus statisticians.

Source for picture:…

The “Economies of Learning” are more powerful than the “Economies of Scale”

This may be my most powerful concept (outside of the Schmarzo Economic Digital Asset Valuation Theorem and the…

"There are a lot of fitness apps in the market right now. But not all of them are effective enough for a regular user. With this post let's find out the way to create an app that the audience is looking for!" 

Mobile applications gained huge popularity within a decade of their introduction.…

As the Internet of Things – or IoTs – grow more popular, and garner more users than in recent years, there’s now a call for better cybersecurity when it comes to such technology. But to secure data in IoTs require an effective cybersecurity framework.

But before we would for certain what needs to be done to secure the data in IoT…

The title of this blog is accurate

There are indeed some caveats / disadvantages to automated machine learning.

This blog was motivated by a question in my University of Oxford class effectively asking:

Will automated machine learning take over all the data scientists’ tasks?

If you listen to the…