Insights on Aisle Six

Kroger has stocked the selves with data but is the product right for you?

The great paradox of the massive retail disruption is that everyone agrees that it is indeed a massive disruption, yet often the responses of firms are a lot less than massive.  And since data is at the heart of this disruption, a data driven response is required.  So I give the team at Kroger a lot of credit for going big and bold in their Kroger Restock strategy , which is a well-considered and well-funded approach to use data and technology to better meet customers, drive growth and find entirely new avenues of business.  The recent announcement  of their Stratum offer through their analytics firm 84.51°, takes this data focused strategy further.  Stratum offers CPGs access to the data and insights Kroger has gained from serving 1 out of every 2 American households.  With this volume of data and the depth of data talent (84.51°, has its roots in dunnhumby, among the first retail analytics firms established), this offer has big appeal.   

Read More
Drew SmithComment
The Most Important Step Toward Ethical Analytics: Intentionality

Lately I’ve had a lot of conversations with clients about the intersection of ethics and analytics. I’ve also been presenting on the topic at a number of conferences. The interest in ethics has exploded recently, driven in large part by the rise of artificial intelligence. One common question I get is what my top tip would be for a company to get started in becoming a leader in analytical ethics. I’ll discuss my answer in this post: intentionality.

Read More
In Praise of “Boring AI”

The press, consultants, and IT market research firms would have us believe that AI is the most exciting technology available today. And it is—but in part because there aren’t a lot of exciting alternatives. Blockchain isn’t turning out to be the revolutionary technology it promised to be, and it will take a long time to come to fruition. Similarly, the Internet of Things is taking forever, in part because there are way too many standards, and none of them is sufficiently influential. It’s not surprising, for example, that the vendor C3 changed its name from “C3 IoT” to “C3 AI.”

Read More
On AI, Deflate Both the Positive and Negative Hype

It seems to be inevitable. Any popular technology or approach to business change apparently has to involve a large amount of breathlessly positive media-driven hype, and then must be followed by potshots and disparagement. The positive press usually lasts for a couple of years or so, and then authors, journalists, and speakers who seek attention realize that they can’t get much of it by jumping on the optimistic bandwagon. They then begin to criticize the idea. Both the positive and negative hype are typically equally unrealistic.

Read More
The Fastest Growing Analytics And Data Science Roles Today

Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of roles they needed to understand and add to their organizations. Then, the role of Data Engineer became a big topic of discussion. In the past year, there has been a massive increase of attention being paid to yet another role that is still new enough that its title hasn’t been standardized.

Read More
Welcome to the Age of Explainability

Modern life has been good for those who understand and can develop analytics. From sex to soccer, data and algorithms are having an increasing impact on how important decisions are made. But it hasn’t been as pleasant for those who don’t understand algorithms but are still subject to the decisions they help to make.

Read More
It’s Almost Time to Submit Your ANNY Application!

It’s almost time to start submitting your ANNY application! Throughout the last eight years, IIA has been hosting the ANNY Excellence in Analytics Award. This coveted award has been given to organizations and departments who are making large strides within their organization with their analytics. IIA has this award to help celebrate those in the industry who are real change drivers.

Read More
So, You Hired a Data Scientist – Now What?

You’ve spent a lot of time and energy finding just the right person to fill your new data scientist role. The individual has settled into the position and is proving to be a successful hire for your organization. Looking forward, what can you do to retain the individual and help him or her stay engaged and successful?

Read More
The Questionable Analytics of Censorship

Historically, concerns about over-zealous censorship have focused on repressive governments. In the United States, free speech has been a pillar of our society since its founding. For the most part, government attempts at censorship or speech restrictions receive swift and successful push back. In recent times, however, a new path to censorship has arisen in the form of search engine and social media companies that are building analytically-based censorship algorithms.

Read More
The All-Inclusive Analytics Organization

Whatever your favorite taxonomy or category of analytics, I’m here to argue that it doesn’t matter from an organizational standpoint. That is, I think all the categories should be supported by one organization. I’ll spend the rest of this post arguing why an inclusive approach is more effective.

Read More
AI’s March Toward Industrialization Continues: Highlights from the O’Reilly AI Conference

Last week, IIA attended the O’Reilly AI Conference (#TheAIConf) in New York City. The O’Reilly AI Conference continues to provide an informative and comprehensive overview of artificial intelligence and its accelerating transition from research to industrialization. Sessions covered a broad spectrum of AI topics, including cutting-edge research, open source tools, regulatory considerations, use cases and best practices for implementation. This conference continued to include the AI Business Summit, focused on exploring the AI challenges, opportunities and risks from the enterprise perspective. Over 2,000 people attended the conference.       

The Wednesday and Thursday morning keynotes showcased all these themes and included the following highlights..

Read More
AI Is Destroying Traditional Business Thinking

We all have seen a shift in the companies and industries that have larger market value. The change from manufacturing to digital companies as the hot organizations has not happened overnight. Yet the speed in which they have climbed the ranks is faster than most could have imagined.

In the article below by Thomas H. Davenport, Barry Libert, and Megan Beck they answer the question; “So what do you do if you are a leader of a company and want to make the shift from the product and services economies of the last economy to the scale and economics of the current one based on platforms, networks and AI?”

Read More