Fun Facts about Fraud:  #1 fraud detection method is a tip, 33% of business failures are due to theft and fraud, the median time for fraud detection is 18 months and 49% of victims do not recover their losses.  With such a significant cost, why can’t companies better combat against fraud?  Oracle’s machine learning and…

Fun Facts about Fraud:  #1 fraud detection method is a tip, 33% of business failures are due to theft and fraud, the median time for fraud detection is 18 months and 49% of victims do not recover their losses.  With such a significant cost, why can’t companies better combat against fraud?  Oracle’s machine learning and…

Imagine a world that anticipates your every move.  Datafication, smart phones, Twitter, Facebook, GPS and IoT, produce a digital exhaust that tracks your every movement, relationships and activities.  Now, companies know everything about you and can anticipate your future.  Peter Tucker, author of “The Naked Future” paints a vivid picture of a present and “very…

Imagine a world that anticipates your every move.  Datafication, smart phones, Twitter, Facebook, GPS and IoT, produce a digital exhaust that tracks your every movement, relationships and activities.  Now, companies know everything about you and can anticipate your future.  Peter Tucker, author of “The Naked Future” paints a vivid picture of a present and “very…

Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models.  Netflix never implemented the algorithm that won the Netflix $1 Million Challenge.  This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data…

Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models.  Netflix never implemented the algorithm that won the Netflix $1 Million Challenge.  This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data…

Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models.  Netflix never implemented the algorithm that won the Netflix $1 Million Challenge.  This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data…

  Developers often need their DBA’s to provide quicker identification and analysis on sub-optimal SQLs during load test cycles and peak production usage of the application. This becomes crucial, especially when the load test cycles are denser and there are relatively huge number of SQL statements in the entire application. Effective performance management and diagnosis…

  Developers often need their DBA’s to provide quicker identification and analysis on sub-optimal SQLs during load test cycles and peak production usage of the application. This becomes crucial, especially when the load test cycles are denser and there are relatively huge number of SQL statements in the entire application. Effective performance management and diagnosis…

AWR collects and persists thousands of performance metrics every hour; the problem is: the root causes of performance anomalies are difficult to detect and it is difficult to know which metrics/attributes are important for DBA’s to focus on to inform their root cause analysis and solutions. A full understanding of these thousands of metrics is…