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InsurTech_2022-08-26_05-22-17.xlsx

#artificialintelligence

The graph represents a network of 2,651 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 August 2022 at 12:37 UTC. The requested start date was Friday, 26 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 5-day, 2-hour, 52-minute period from Saturday, 20 August 2022 at 21:04 UTC to Thursday, 25 August 2022 at 23:57 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


#FinServ_2022-06-11_18-38-50.xlsx

#artificialintelligence

The graph represents a network of 1,586 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 01:47 UTC. The requested start date was Sunday, 12 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 21-hour, 59-minute period from Tuesday, 07 June 2022 at 02:01 UTC to Sunday, 12 June 2022 at 00:01 UTC.


#FinServ_2022-05-28_18-38-50.xlsx

#artificialintelligence

The graph represents a network of 1,973 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 01:52 UTC. The requested start date was Sunday, 29 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 1-hour, 3-minute period from Monday, 23 May 2022 at 09:19 UTC to Friday, 27 May 2022 at 10:22 UTC.


Behavioral and physiological biometrics – a marriage made in heaven

#artificialintelligence

This is a guest post by Zia Hayat, founder and CEO of Callsign. Ever since Apple introduced the Touch ID fingerprint scanner to the iPhone 5S in September 2013, biometrics as a means of identifying consumers has swiftly moved from the realms of science fiction to science fact. Now, using a person's physiological attributes as a means of identification is moving beyond the fingerprint, as Samsung's Note 7 is capable of iris scanning and users of Apple's iPhone X are now able to open their phone with merely a glance. But following recent data breaches and a landmark court case in Illinois, physiological biometrics find themselves on the backfoot, with behavioral biometrics now offering a more robust and secure alternative. Traditional physiological biometrics aim to replace "things that you know" – passwords, PINs, memorable information, etc. – with "things that you are".


Context for connections: improving security with behavioral biometrics

#artificialintelligence

This is a guest post by Ethan Ayer, CEO of Resilient Network Systems. With faceprints, voiceprints and iris scans beginning to replace passwords in everything from police work to amusement park admission, behavioral biometrics is becoming one of IT security's hottest trends. With promising contenders in Scandinavia to stateside biometrics companies being snapped up by the likes of MasterCard and others, the security race is on as organizations move to understand--and adopt--behavioral biometrics technology. IT security is a central concern for organizations as they seek to keep intellectual property and customer information secure. In today's threat climate, passwords and security questions are no longer enough to dissuade hackers.