There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transformed, and early adopters with it, while others race to understand how best to adapt or integrate said emerging technologies into their organizations in an effective and seamless…

Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE.

Anthony Branda, MBA, Ph.D.,  Kevin Kramer, Ph.D.

• Company CEOs today are being bombarded by C-suite executives with urgent requests for significant funding for Data Science and anything that can be labeled Artificial Intelligence (AI):
• The CMO wants better segmentation, dynamic predictive scoring…

Summary:  Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations.  We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen.

If you’re a CEO or any other flavor of top executive leading a…

Think of all the self-service things you use in a day. Petrol stations, ATMs, Online/Apps for stock trading, banking, and shopping. The idea behind all this:

• Convenience to customers
• Reduced costs for providers
• Freedom of choice about what I want, when I want without involvement of others in my minute-to-minute decisions.

We love to see and track health stats on Fitbit, Apple Watch, and Garmin.

The same goes with self service interactive…

(This post originally appeared here) 

In a…

Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide accurate…

The value analytics brings to a business is inversely related to the time it takes to create said analysis. In a traditional world of quarterly lookbacks, an analyst’s output may be interesting, but its ability to drive real relevant change is hindered by time and effort. The fundamentals that were once present may have all changed.

This is why real-time analytics are a breakthrough for a business. If you can take…

Access to relevant customer and industry information is the primary competitive advantage businesses have over their direct and indirect competitors today. It’s the smartest approach to remaining vigilant in a business environment where competition is at an all-time high. 

That’s where data warehousing comes in. Data warehouses are central repositories of…

It speaks volumes of the world we live in today when headlines such as “The world’s most valuable resource is no longer oil, but data” and “Why Data May Be More Valuable Than Dollars” are commonplace. With the explosion of IoT and with that 2.5 quintillion bytes of data being created per day, the underlying power of this data comes as no surprise.

Unlike gold however, data is ubiquitous and being created at an exponential rate. So where’s the value in something that is everywhere?…

The evolution of modern technology in the past 10 years is astounding: our mobile phones are becoming smarter by the second, our online behavior is revealing more about human nature and our wearable technology knows more about our general well-being than our family doctor.

This adoption of technology into almost every facet of our life will surely define this epoch as the digital era. We have been talking about the Internet of Things (IoT) for many years now, these “things” being all…

“A company that ceases to grow will die;” a useful albeit slightly morbid mantra for any business trying to make it out there in the big wide world. How can business avoid such an outcome? One answer is by staying relevant, no mean feat in our rapidly changing environment.

Staying relevant is a question of recognising what your customers want and having the ability to deliver that requirement as quickly as possible. Easier said than done, however, with the enormous…

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed. They must have up-to-the-second data and analytical…

Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are called Data Scientists. Let’s see how Data Science correlates with the…

With the online holiday shopping season heavily underway and expected to reach $83 billion this year, online stores need to run smoothly, including having prices in order. It may sound basic, but simple computer glitches can cause pricing errors that may excite consumers, but cause major problems down the line. For example, for a few hours this summer, visitors…

Why aren’t models and insights generated by many Data Science projects an instant hit with companies looking for data driven growth? They miss the Business Translator, an important role that nobody is currently recruiting for. Read on to learn about my proposal on how to make Data Science projects stick at your company and build an enduring business…

`The full-stack BI software category comprises of three different product flavors, which are nonetheless comparable to each other as they all endeavor to provide an end-to-end solution to the data challenges described at the beginning of the guide. The three subcategories are:

• On-Premise First Full-Stack BI Solutions: These are products that were usually designed originally as on-premise solutions, although many now also offer cloud versions.
• Open Source…

Good day and my warmest hellos from Montreal, Canada to all members of the Data Science Central virtual community.

I have recently joined this very interesting, bountiful and multi-sub-disciplinary web site in the data science field and admittedly I’m still exploring all of its numerous knowledge facets.

In order to introduce myself to all of you I thought it would be à propos to use the project I’m currently working on as a window to my expertise, which compared to all of you,…

I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.

Now, I have updated my collection and placed them into a neat Trello list, open to all.

Of course it features some of the great and interesting articles from data science central:…