How Big Data Can Detect & Prevent Fraud

Join our upcoming #DataTalk on Twitter as we talk about ways big data can detect and prevent fraud. We’ll talk with Julie Conroy, the research director for Alite Group’s Retail Banking practice and Keir Breitenfeld, the VP of Product Strategy for Fraud & ID at Experian Decision Analytics.

Our big data tweet chats are hosted by @ExperianDataLab and occur every other Thursday at 5 p.m. ET. If you have questions or suggestions for future topics and guests, please tweet @MikeDelgado.

TOPIC: How Big Data Can Detect & Prevent Fraud

WHEN: Thursday, July 2, 2015 at 5 p.m. ET

Easy ways to chat with us on Twitter: Twubs or Tchat

Upcoming Twitter Chats:

July 2: How Big Data Can Detect & Prevent Fraud

July 16: Big Data & Mobile Payments

July 30: The Role of the CIO & Big Data

August 13: Big Data & Recruiting

August 27: Big Data & Baseball Analtyics

September 10: Big Data & Fitness

September 24: Big Data & Romance

October 8: Big Data & Banking

October 22: Big Data & Football Analytics

November 5: Predictive Analytics for Marketing

November 19: Predictive Analytics in Healthcare: Challenges & Opportunities

December 3: Looking Ahead: Big Data Trends & Challenges

December 17: Big Data & Future of Retailing

Past Video Chats:

Past Chats:

Highlights from Past Tweet Chats:

Analyzing data is one thing – leveraging it to drive transformational changes to your business is really what’s critical. [Retweet]

Without data, decisions are opinions rather than facts. As engineers, we want to make decisions based on fact. [Retweet]


Instincts aren’t scalable, data science is. [Retweet]


You need to be careful when using data. Garbage in, garbage out. Big data sets always have some problems or bias in them. [Retweet]

If there’s a big data trend, it’s the shift from infrastructure to analytics/algorithms on big data assets. [Retweet]

Big data matters because it’s an imperative not only to succeed, but even just to compete. [Retweet]

Statistics and machine learning will give you the mathematically correct answer, but that will not be useful if you did not set up your problem correctly. [Retweet]

Data analysis is in its infancy. There is a huge amount that can be done in terms of analysis methodology, sensor software and the measurements we can do vs. what we will be able to do. [Retweet]





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