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
