What is AI bias?
AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data....more
The metaverse raises several curious questions regarding its legal implications. Just like other forms of social media, there will be a series of compliance and legal requirements that impact the metaverse. Exactly how any...more
The essence of formulating a competitive strategy is relating a company to its environment. Today, few conversations about industry environment and market forces can continue very far without discussing data, its challenges,...more
Every business is deeply intertwined with environmental, social, and governance (ESG) concerns. It makes sense, therefore, that a strong ESG proposition can create value. For years corporate leaders have acknowledged that...more
Image classification AI can find existing application in document review. Examples include identifying documents containing specific logo’s, separating our schematics or patent data, and identifying oil field maps and...more
The world is seeing major advances in artificial intelligence (AI) and data analytics, and novel applications in healthcare, education, transportation, e-commerce, and defense, among other areas. These algorithms are...more
As a thought experiment, imagine there was a base metal as scarce as gold but with the following properties: boring grey in color, not a good conductor of electricity, not particularly strong but not ductile or easily...more
At a critical moment during the 2011 movie Margin Call, the CEO of a fictional Wall Street investment bank addresses his board on the eve of the 2008 financial crisis: “There are three ways to make a living in this business:...more
The recent developments in AI and machine learning across industries have convinced many that this innovation is on par with the great, transformative technologies of the past: electricity, cars, plastics, the microchip, the...more
The current moment is bursting with opportunity to the bold and fearless business leader of tomorrow. We are collectively at a point of great change, where the nature of work has become increasingly more fluid. Today,...more
There is no wasted time studying the variety of algorithms at our disposal. After all, their relevance is determined by factors both within and outside our control. However, the growing variety of data from both communication...more
Artificial Intelligence (AI) bias is an anomaly in the output of machine learning (ML) algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training...more
If you were held accountable for the decision of a machine in contexts that have financial, safety, security, or personal ramifications to an individual, would you blindly trust its decision? It’s hard to imagine a person who...more
If artificial intelligence keeps improving, automating ever more jobs, what will happen? Many people are job optimists, arguing that the automated jobs will be replaced by new ones that are even better. After all, that is...more
Artificial Intelligence (AI) can be a difficult concept to grasp. In 2018 the Pew Research Center released the results of a 2017 study that found only 17 percent of 1,500 U.S. business leaders claimed some familiarity about...more
Start thinking about your data as a capital asset. This is not an original idea. Douglas B Laney from Gartner built a strong argument around this concept in his book Infonomics: How to monetize, manage, and measure...more
Robotic Process Automation (RPA) is a software technology that enables the automation of digital tasks. With RPA, firms can create digital robots, or ‘bots’, that can learn, mimic, and then execute rules-based business...more
Finding collaboration between big companies and startups can be tricky. They are the odd couples of the business world. However, big challenges can require bold solutions as organizations work to define the best path for...more
Designing AI initiatives that enable your organization to deliver value through high stakes use cases is no mean feat. However, there are sensible steps that any skunkworks project can incorporate to increase their chances of...more
One of the greatest barriers to artificial intelligence (AI) adoption is trust. Amongst other things, this includes the defensibility of results, leadership’s support in both the sourcing and roll-out of AI solutions, and...more
Four Essential Principles of Quantum Computation The answer to the question “what is a quantum computer?” encompasses quantum mechanics (QM), quantum information theory (QIT) and computer science (CS). It is a device that...more
AI ethics is a sub-field of applied ethics, focusing on the ethical issues raised by the development, deployment and use of AI. Its central concern is to identify how AI can advance or raise concerns to the good life of...more
There is a good chance that at some stage in the past year you have come across the term ‘quantum’ used in any one of a variety of contexts. It could have been while watching movies like Palm Springs on Hulu, that (spoiler...more
Big ideas require bold actions, planning, patience, and plenty of support. The more ambitious the task, the greater the resource commitment and need for collaboration with others. A business case needs to be made for the...more
The ultimate endgame in the development of artificially intelligent (AI) systems is the creation of intelligent solutions that can input data from a variety of sources, process it (understand it), and perform multiple output...more