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 powerRead

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