One of the core pillars of Altair is envisioning the future, and those aren’t just words – we aggressively invest in the future. Sometimes we fail, but we embrace those lessons as they are invaluable in helping us to get … Read More
When we want to study relationships in data, we can plot, cross-tabulate, or model that data. When we do this, we might come across cases where the relationships we see from two different views of a single dataset lead us … Read More
Natural language processing (NLP) is already part of the fabric of everyday life. Amazon Echo and Google Home have quickly become embedded in the domestic landscape. A little less obviously, NLP is also helping to make sense of our online … Read More
Recently, the president of General Motors wrote a perspectives article for CNN Business outlining the automotive industry’s most pressing challenges that stand in the way of mass adoption of electric cars. Carmakers around the world have made massive investments in … Read More
You’ve probably heard that old stat (or some variation of it) about how the human brain processes images 60,000 times faster than text and numbers. It’s a point that data visualization has been capitalizing on for years. It’s also something … Read More
To build a data fabric that covers all your business’ data needs, you need to think beyond today and look toward the future. That means once your data is prepped and ready, it’s time to put it to work, not … Read More
As any data analyst knows, when it comes to data management, preparing the data for analysis is more than half the battle (roughly 61% of it according to a recent TDWI Pulse Report). Without the right preparation it’s going to … Read More
By the year 2025, IDC predicts the amount of data worldwide will reach 175 zettabytes (ZB). How much is that really? If 175ZB were stored on Blu-Ray disc, the stack would reach the moon. And consider this: that prediction is … Read More
There’s a popular saying that hindsight is 20/20 but it isn’t always true when it comes to analytics. To understand what really happened during the last month, quarter or year, you need to start with clean and complete datasets, utilizing the … Read More
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