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Shares of Seagate Technology PLC (NASDAQ:STX) ended Thursday session in red amid volatile trading. The shares closed down -0.60 points or -1.72% at $34.24 with 6.85 million shares getting traded. Post opening the session at $35.35, the shares hit an intraday low of $34.10 and an intraday high of $35.78 and the price vacillated in this range throughout the day. The company has a market cap of $10.44 billion and the numbers of outstanding shares have been calculated to be 298.61 million shares.

Seagate Technology PLC (STX) launched the industry’s fastest and highest-performing hard drive—the Seagate® Enterprise Performance 15K HDD v6. Featuring capacities up to 900GB, the drive optimizes mission critical workloads by delivering the industry’s highest data performance (up to 315MB/s sustained transfer rate), enabling enterprise and cloud customers to move critical data where it’s needed fast to ensure smooth and seamless connected experiences for business, organization and consumer users—all while lowering total cost of ownership through high reliability, security and easy data center integration.

Shares of International Business Machines Corp. (NYSE:IBM) ended Thursday session in green amid volatile trading. The shares closed up +1.54 points or 1.01% at $153.35 with 4.23 million shares getting traded. Post opening the session at $152.82, the shares hit an intraday low of $152.02 and an intraday high of $154.06 and the price vacillated in this range throughout the day. The company has a market cap of $146.71 billion and the numbers of outstanding shares have been calculated to be 950.85 million shares.

International Business Machines Corp. (IBM) announced new behavioral biometric analysis capabilities in its digital banking fraud prevention technology, IBM Security Trusteer Pinpoint Detect, using patented analytics and machine learning for real-time cognitive fraud detection.  The new behavioral biometric capabilities incorporate the use of machine learning to help understand how users interact with banking websites, creating gesture models based on patterns of mouse movements that become increasingly more accurate over time.

Through cognitive analysis of the gesture models, IBM Security Trusteer Pinpoint Detect can help determine when unauthorized users try to take over a bank account using stolen credentials by detecting anomalies from the real customer’s interaction with a banking website. The technology understands the context and meaning of subtle mouse movements and clicks, and uses this information to develop increasingly more accurate gesture models through machine learning.

 

 

 

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