From Privacy To Racial Bias, Ethical Concerns Over Facial Recognition Technology

Facial recognition technology has entered the mass market, with our faces now able to unlock our phones and computers. While the ability to empower machines with the very human ability to identify a person with a quick look at their face is exciting, it’s not without significant ethical concerns. Suppose

Read More

The Future Movement Of Goods: The Connected Community, Holistic Decision-Making, And Intelligent Automation

Even before the pandemic started, global supply chains were experiencing growing pains as they adapted to meet the pressures of rising demand and a delivery system in need of an overhaul. For example, shipping goods such as medicines, groceries, and everything else that powers our daily lives demonstrated the complexities

Read More

What It Means For Artificial Intelligence To Be “Explainable” And When It’s Important To Explain How An AI Produced Its Outputs

AI adds value by identifying patterns so complex that they can defy human understanding. That can create a problem: AI can be a black box, which often renders us unable to answer crucial questions about its operations. That matters more in some cases than others. Companies need to understand what

Read More

Conversational AI: By 2022, 70% Of White-Collar Workers Will Interact With Conversational Platforms

Technology and human interaction strategists take note: Innovators are tackling current limitations to conversational AI through their work in five areas. We expect them to lead to much broader adoption of conversational bots in the near future. Current versions of chatbots can be inefficient and frustrating to use, besides being

Read More

Augmented Intelligence: The Third Type Of AI For The Future Of Intelligent Work

Will smart machines really replace human workers? Probably not. People and AI both bring different abilities and strengths to the table. The real question is: how can human intelligence work with artificial intelligence to produce augmented intelligence. Chess Grandmaster Garry Kasparov offers some unique insight here. After losing to IBM’s

Read More

XAI Can Help Banks Confront The “Black-Box” Nature Of Their Machine Learning Models By Making AI More Explainable, Intuitive, And Understandable

In 2016, author and trained mathematician Cathy O’Neil posited that machine learning models, left unchecked, can easily turn into “Weapons of Math Destruction.” She further suggested that as these algorithms become “highly efficient, seemingly arbitrary, and utterly unaccountable… no one will understand their logic or be able to explain it.”

Read More

Prescriptive Analytics: The Final Stage Of Business Analytics

Technology has given us the ability to forecast enterprise trends and predict success in ways the business leaders of yesterday couldn’t fathom. In the past, successful businesses had to rely on small sample sizes, simple questionnaires, and other ways of gathering of data to predict general trends, but not anymore.

Read More

Deep Learning Shows Some Promises, But Yet To Deliver On Its Own Hype

A few years back I jumped on the “machine learning will eliminate the need for radiologists” bandwagon. It wasn’t my smartest prediction. In my failure, however, I’m joined by the biggest experts in deep learning, like Geoffrey Hinton, who in 2016 proclaimed it was “just completely obvious [that] within five

Read More

Metaverse: How Big Data And Metaverse Technology Could Transform Corporate Business Processes

Bloomberg estimates that the metaverse market may grow to $800 billion by 2024, and Facebook has changed its name to Meta to capitalize on this looming technology. The metaverse is a collection of immersive online technologies that include virtual reality, augmented reality and interactive video. At the corporate level, CIOs

Read More

In Times Of Crisis And Uncertain World, It Is Important For Companies To Become Future Ready

What makes a company “future ready”? The author analyzed top companies by revenue across four sectors, measuring seven equally weighted factors, then analyzed what leading companies were doing differently. They discovered industry specific insights, which also informed more universal lessons. First, don’t play zero-sum games with disruptors. Looking at the

Read More

There Were Scattered Successes But In General, Diagnosing Covid, Predicting Its Course, And Managing The Care, Why AI-Based Decision Tools Failed To Deliver

The pandemic could have been the moment when AI made good on its promising potential. There was an unprecedented convergence of the need for fast, evidence-based decisions and large-scale problem-solving with datasets spilling out of every country in the world. Instead, AI failed in myriad, specific ways that underscore where

Read More

To Implement, Scale, And Maintain AI Ethical Risk Mitigation Strategies, Companies Should Begin With Understanding Of The Problems They’re Trying To Solve

While concerns about AI and ethical violations have become common in companies, turning these anxieties into actionable conversations can be tough. With the complexities of machine learning, ethics, and of their points of intersection, there are no quick fixes, and conversations around these issues can feel nebulous and abstract. Getting

Read More