“Big Data is dead.” “Big Data is passé.” “We no longer need Big Data; we need Machine Learning now.” As we end 2017 and look forward to big (data) things in ...
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with studen...
In the past few years, machine learning (ML) has revolutionized the way we do business. A disruptive breakthrough that differentiates machine learning from other approach...
Summary: Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage. These same ch...
In a previous blog I wrote about 6 potential applications of time series…. To recap, they are the following: Trend analysis Outlier/anomaly detection Examining shoc...
Data democracy has been a hot topic of late. But what does this really mean? Further, what do we actually need to DO to build a culture of data democracy? This i...
Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher. If you still want to be d...
Ask for feedback from just about any critic of the R statistical package and you’ll hear two consistent responses: 1) R is a difficult language to learn, and 2) R...
These predictions for 2018 are from Infologix. “Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT, but the...
As 2017 ends, Ramon Chen, Chief Product Officer at Reltio, the creator of data-driven applications, has peered into his crystal ball to decipher what 2018 will bring in d...