Click to learn more about author Yuvrajsinh Vaghela. Be it any business; consumers are the king. But how well do you know them? Do you have sufficient data about them? Most importantly are you able to use the insights to adjust your offerings and revenue strategies? In partnership with the Google News Initiative, Deloitte conducted a […]
The Allure of the Cloud for Data Lakes
Click to learn more about author Sanjay Vyas. Many organizations are considering whether it’s the right time to shift from an on-premises data lake to a cloud data lake. From scalability issues to software incompatibility and security, on-premises data lakes haven’t delivered on the promise to give organizations fast and unfettered access to all their […]
Top Programming Languages for Data Science and Machine Learning
Click to learn more about author Manan Ghadawala. Software developers love arguing about which programming language is the best. However, the criterion for what is “best” is confusing. When we discuss software development for the machine learning and data science fields, this question is timeless and will never lose its relevance. Most useful programming languages […]
How Do You Prove the Value of Self-Serve Augmented Data Discovery?
Click to learn more about author Kartik Patel. How does one measure the effectiveness of a new augmented data discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation. Without measurable […]
Data Delivery vs. Amazon Delivery: Making Data Scientists More Efficient
Click to learn more about author Dipti Borkar. If Amazon can deliver an order in 1 hour, why does it take days or weeks for data scientists to access their datasets? Embrace chaos, embrace data silos, orchestrate, and deliver. As I head to AWS Summit today, I’ve been thinking about the beginnings—how it began for […]
The Tech Pro Evolution Revolution: From the Server Room to the Board Room
Click to learn more about author Leon Adato. Tech pros are busy – whether we’re catching up with new systems, trying to stay ahead of workloads, or figuring out how the next leap in technology will affect our careers. Added to everything: roles such as SysAdmin and NetAdmin are de-siloing. Increasingly, some of us are also […]
From Data Analytics to AI Implementation: How to Build Your Team Right
Click to learn more about author Asha Saxena. It’s 2019, will this be the year your data team starts using and implementing machine learning and AI for your business? If you have data-savvy analytics talent using tools like Alteryx, Tableau, Informatica, Qlik, Microsoft Power BI, TIBCO Spotfire, R or Python, then you have a solid foundation […]
From a Single Decision Tree to a Random Forest
Click to learn more about author Rosaria Silipo. The co-author of this column was Kathrin Melcher. Decision trees are a set of very popular supervised classification algorithms. They are very popular for a few reasons: They perform quite well on classification problems, the decisional path is relatively easy to interpret, and the algorithm to build […]
Shift in Core Principles of Data Management in Today’s Digital Economy
Click to learn more about author Tejasvi Addagada. Today’s data landscapes in enterprises are increasingly based on core principles of Data Discovery, Right Data Interpretation, Coverage, Availability and Inter-operability. Often the first step is knowing what data exists in our firms, while also interpreting it in the right way by managing the meaning. Business Intelligence often […]
Data and Due Process: When Algorithms Go Awry
Click to learn more about author Michael D. Shaw. Data is like statistics: a matter of interpretation. The process may look scientific, but that does not mean the result is credible or reliable. How can we trust what a person says if we deny the legitimacy of what he believes? How can we know a […]