Real Intelligence: The r4 Blog

The Unexplainability Myth

by Paul Signorelli, Chief Solution Architect

One of the criticisms of machine learning algorithms – particularly deep learning algorithms – is that they are a black box. In other words, the reason they reached a particular solution cannot be explained. This leads to a host of problems – from compliance, to risk/reward determination, to issues of discrimination – and helps feed a general distrust of AI… Read >

All Models are Wrong

Data scientists live by the aphorism “All models are wrong… but some are useful.” This truism, often attributed to twentieth century statistician George Box… Read >

Time for Tech to Drive Change

It is long overdue for us as citizens, and as technologists, to make health, safety, and well-being in the Black community real priorities… Read >

All Pandemics are Local

“Global Pandemic” is the headline you see everywhere you look. Simple reality, the COVID-19 pandemic and the resulting economic shock is local… Read >

How to Transform a “Big, Old” Company
into an Agile Digital Business

As consumers, we take digital technologies for granted… We don’t wonder why these things are possible; we simply expect them,” said Designed for Digital… Read >

Avoiding “Winner-Take-All” in the World of AI

In a recent NY Times article, leading tech journalist Steve Lohr captured the anxiety of academic researchers about the concentrated wealth and power… Read >

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Artificial intelligence is rapidly becoming one of the most important technologies of our era.… Read >

You Don’t Need a Year
of Data Cleansing

There’s a nearly universal belief in the business world that you can’t use AI without first going through a long, painful process of data cleansing and normalization… READ >

r4 Named a Gartner Cool Vendor in AI Core Technologies

Each year, as part of its comprehensive research program, Gartner designates a select group of companies as Cool Vendors… Read >

New Thinking for a New World

The world is moving faster and faster – that’s obvious.  In fact, it’s more than that: the rate of acceleration is increasing. In 1970 Alivn Toffler wrote Future Shock to describe the disorientation … Read >

The Incumbent’s Path to New Growth — Part 3 of 3

This final post in this series addresses the new set of technology-enabled management capabilities that are required to make cross-enterprise management a reality—what we call Cross-Enterprise AI   …  Read >

The Incumbent’s Path to New Growth — Part 2 of 3

Part 1 of this blog series looked at how scale and stability, ever-changing market dynamics, and competition from tech giants and insurgents are the new business realities for incumbent  …  Read >

The Incumbent’s Path to New Growth — Part 1 of 3

A paradox surrounds the topic of business growth. On the one hand, many well-regarded projections suggest that we’re entering an era with tremendous economic prospects  …  Read >