Remove 2005 Remove Interactive Remove Optimization Remove Risk
article thumbnail

Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 99
article thumbnail

Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

In 2005, in “ What is Web 2.0? ,” I made the case that the companies that had survived the dotcom bust had all in one way or another become experts at “harnessing collective intelligence.” The next generation will shape human cognition, creativity, and interaction even more profoundly. But over time, something went very wrong.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

7 Ways to End Dead Digital Weight on Your Website with Analytics

Smart Data Collective

Google Analytics wasn’t launched until 2005. Keep reading to learn more about using analytics to optimize your website. Analytics is Crucial for Optimizing Websites. Web optimization positively impacts your revenue, whether you profit from advertising or sales via content distribution.

article thumbnail

Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. After five minutes of seeing these products back then, I just knew they would change everything! Answer: Better than every other vendor?

article thumbnail

Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. Machine learning is a subset of mathematical optimization.