Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […]
Working Towards Explainable AI
“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]
Using Big Data Analytics to Combat White-Collar Crime
In the era of globalized markets, burgeoning international trade, complex financial systems, ever-evolving compliance and regulatory landscapes, and rapid technology advancement, white-collar crime has unfortunately seen a significant uptick in scale, variety, and sophistication. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […]
The Fundamentals of Deep Reinforcement Learning
Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]
A Brief History of Deep Learning
Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
Bringing Data Science into the Organization
In a nutshell, Data Science accelerates business growth. Sudeep Rao, offers solid evidence of this by stating that worldwide nearly $30 billion is invested annually for artificial intelligence (AI) and machine learning (ML) projects. A BI and analytics survey indicated that 94% of the survey participants reported “data and analytics” as important factors for the […]
How the Technology Industry Can Speed up Environmental Protection Efforts
The recent UN Climate Change Conference (COP26) revealed a massive credibility gap between government current policies and their net-zero goals. Even with full implementation of emissions targets set for 2030, the planet is expected to heat up by 2.4°C by the end of the century. This alarming gap has cast a dark shadow of doubt over […]
Hyperautomation Projects Will Unleash the Next Phase of Digital Transformation
Digital transformation powered by automation has changed the way organizations around the world operate. It’s sped up product and service delivery. It’s created operational efficiencies throughout the business. But automation has its limits. Traditional automation uses tags and triggers to initiate the next event in a sequence. It certainly keeps things moving, but it falls […]
4 Reasons Data Scientists Leave (and How to Retain Top Talent)
The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity and understanding is built on the backs of data scientists and is lost when they […]
How AI Can Transform Hybrid Events
The initial phase of the global pandemic shocked nearly every industry, with in-person events effectively grinding to a halt. Industry conferences that millions of people had relied on for networking, training, and generating business were suddenly gone. Fortunately, companies, organizers, and supporting event platforms were agile, quick-footed, and resourceful in their efforts to shift events […]