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Fuzzy Logix In The Media

  • Our CMO talks solutions and projects Our CMO talks solutions and projectsAashu Virmani, Fuzzy Logix’ CMO was interviewed recently by independent analyst and industry expert, Ron Powell. He discusses how machine learning applies to anti-money laundering using decision trees, regression and neural nets, explains indexed data management, and gives a glimpse ... Read More
  • The 7 Personality Types Needed For The Internet of Things The 7 Personality Types Needed For The Internet of ThingsFuzzy Logix Aashu Virmani offers his thoughts on what personality traits the people working in IoT will exhibit Read More
  • Partha Sen: Big Data: Drilling for value Partha Sen: Big Data: Drilling for valueBlindly adopting a big data strategy can do more harm than good for your organisation says Fuzzy Logix CEO Partha Sen in ITProPortal.com Read More
  • Partha Sen: Five Data Challenges Every Index Provider Faces Partha Sen: Five Data Challenges Every Index Provider FacesFuzzy Logix Founder and CEO Partha Sen in TradersMagazine.com on the five data challenges every index provider faces. Read More
  • Doing more with less – how would Alexander the Great have tackled today’s big data challenge? Doing more with less – how would Alexander the Great have tackled today’s big data challenge?When your business demands faster insights on less budget, what is the answer? Read More
  • Anti-money laundering – four big factors that contribute to compliance failure Anti-money laundering – four big factors that contribute to compliance failureAs money laundering is back in the news, our CEO, Partha Sen, looks at what main factors are impeding compliance… Read More
  • How to Build a Big Data Engineering Team How to Build a Big Data Engineering TeamFuzzy Logix’ CMO Aashu Virmani talks to Forbes about what makes a good data scientist or engineer. Read the source article at Forbes Welcome Read More
  • Fuzzy Logix: IoT retail data is gonna be (h)yuge Fuzzy Logix: IoT retail data is gonna be (h)yugeIt’s no trumped up suggestion to say that nobody knows how (h)yuge the data is in the Internet of Things (IoT) better than the retail industry. Indeed, we might go further and say that today, nobody has more respect for the IoT’s ... Read More
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