Larsen & Toubro Infotech Ltd

Larsen & Toubro Infotech (NSE: LTI, BSE: 540005) is a global technology consulting and digital solutions Company helping more than 300 clients succeed in a converging world. With operations in 30 countries, we go the extra mile for our clients and accelerate their digital transformation with LTI’s Mosaic platform enabling their mobile, social, analytics, IoT and cloud journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivaled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 26,000 LTItes enable our clients to improve the effectiveness of their business and technology operations, and deliver value to their customers, employees and shareholders.

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A machine learning method has been designed by researchers from the Cambridge and Newcastle Universities that can predict health of batteries with 10 times more accuracy than the current industry standard.The University of Cambridge believes that the new method can help in developing safer and more reliable batteries used in electric vehicles and consumer electronics.The new method involves the sending of electrical pulses into batteries and measuring the response. The measurements are subsequen...

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Fixed income trading software provider AxeTrading has teamed up with FinTech Overbond to integrate its predictive analytics with the AxeTrader execution management system (EMS).AxeTrader EMS users will be able to configure the analytics themselves, providing access to Overbond’s corporate and government bond intelligence (COBI) pricing and artificial intelligence-based predictive analytics platform for direct insight into securities from the EMS workflow. Working with Overbond and other le...

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J.P. Morgan Asset Management has recently launched its first mutual fund employing a data science-driven investment process, combining fundamental research, data insights, and risk management to identify attractively priced equity securities. The J.P. Morgan U.S. Applied Data Science Value Fund (JPIVX) combines the firm's decades of information and data sets accumulated by equity research analysts with the breadth and scale provided by J.P. Morgan's data science capabilities.
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news image

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A machine learning method has been designed by researchers from the Cambridge and Newcastle Universities that can predict health of batteries with 10 times more accuracy than the current industry standard.The University of Cambridge believes that the new method can help in developing safer and more reliable batteries used in electric vehicles and consumer electronics.The new method involves the sending of electrical pulses into batteries and measuring the response. The measurements are subsequen...

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