What is referential integrity? Referential integrity (RI) is a set of rules to ensure that data makes sense when it’s spread across multiple tables. For example, in a referentially correct database, you’d never be able to record a sale in your sales table for a customer that doesn’t exist in your customer table. How relational […]
How Referential Integrity Protects Your Credibility Read More »
Our last month’s edition of the Dataspace newsletter looked at the growing applications of AI for cybersecurity, and explored how some of the major players in tech are incorporating AI based security tools into the suite of products they offer to business clients. However, it is also important to note that hacking can present a
Humans vs. Robots vs. Robots vs. Humans: Part 2 (Cybersecurity, AI, and Human Rights) Read More »
The idea for this week\’s blog post started just after the Presidential Inauguration.. . when all of a sudden Bernie Sanders memes flooded the internet. Bernie and his mittens were photoshopped into just about every landscape, movie poster, or iconic photo you can think of. Some of my personal favorites are here below: What struck
AI Detectives – Using Data to Sleuth out the Truth Read More »
Before our recent presidential elections, many polls showed Joe Biden winning (for those not in the US, we recently had an election, although I suspect you know that). And, he did, in fact, win. But, pollsters are taking a lot of heat for overstating the magnitude of that win and for expecting Biden to be
Pollsters Should Take A Hint From the CIA Read More »
Probably not, yet. While Dataspace can’t do anything to help with your anxiety about election data, we can provide some relief from another trending anxiety-inducer: the fear that AI is coming for your job. Don’t worry. In a lot of areas AI is just not ready to make human workers redundant. Exhibit A: Live Sports
Is AI Coming For Your Job? Read More »
In short, not much. However, there are hints that contract staffing, including data staffing. could continue to grow as a critical strategic choice for many companies. After 6+ months of pandemic related chaos, there has been a substantial amount of reflection on how various industries have been affected thus far, as well as prognoses for
What Do We Know About the Future of Data Staffing? Read More »
Data Science / Predictive Analytics / Artificial Intelligence Is Largely About Extrapolation At its heart, predictive analytics is about making educated guesses regarding the future based on things you know about the past. Thus, the field assumes that the future will work like the past did. But, what if the future doesn’t look anything like the past?
Will Covid Break Data Science? Read More »
As you move your infrastructure to the cloud, it’s important to consider how to not become beholden to a single cloud vendor. In other words, to attain cloud neutrality. I’m afraid that I don’t have all the answers on how to do this, but I do have some thoughts. In any case, I recommend that
Why you need cloud neutrality Read More »
Tools and techniques for management reporting and analysis have evolved since computers first came out. One can argue that the first management reporting tool was COBOL (COmmon Business Oriented Language). It allowed business people to get data out of systems created by computer people. COBOL was eventually replaced for reporting by tools like Information Builders
What’s The Difference Between Business Intelligence and Data Science? Read More »
Data science is, and has been, in vogue. Every forward-thinking company wants to have a data science program because by now it is conventionally understood that it will improve profitability and efficiency across the business. To some companies with troves of data waiting to be ‘data scienced,’ this means hiring data scientists willy-nilly even if
Step 1: Collect data. Step 3: Profit. Step 2: Hire data scientist? Read More »
