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Machine is leaning / Tanuj Solanki

By: Material type: TextTextPublication details: India Macmillan Publishing 2020Description: 248pISBN:
  • 9789389109290
Subject(s): DDC classification:
  • Fiction SOL-T
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Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad FIC Fiction "1st Floor" Fiction SOL-T (Browse shelf(Opens below)) Available 43519
Total holds: 0
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Fiction SOL-R We can't keep meeting like this / Fiction SOL-R Weather Girl / Fiction SOL-T Diwali in Muzaffarnagar / Fiction SOL-T Machine is leaning / Fiction SOM-M Taj : conspiracy Fiction SOM-M Taj : conspiracy Fiction SOM-M Radiance of a thousand suns /

From the Winner of Sahitya Akademi Yuva Puraskar 2019

‘Drawing on the years he has spent in the strange world of insurance, Tanuj Solanki writes one of those rare novels which deals with the world of work, where his protagonist circles India, terminating unwanted employees and flushing his cufflinks down the toilet in an airport loo. A keenly observed and nuanced portrait of the working life, this novel tells you what it must be like to be part of the Tinder generation’ JERRY PINTO, author of Em and the Big Hoom and Murder in Mahim

Saransh works at a life insurance company, as part of the Special Projects Group (SPG). Their current project is top-secret: the development of an Artificial Intelligence system that will leave 552 branch-level employees redundant overnight. Because of site-specific customizations, however, the system needs to collect information from the company’s various branches. Thus begins a cycle in which Saransh travels across the country, interviewing the very people that his machine will replace soon. Meanwhile, his conscientious ex-journalist girlfriend Jyoti repeatedly questions Saransh’s complicity in the impending destruction of hundreds of lives.

The Machine is Learning is a novel about twenty-first-century workplaces, love and the impact of technology in all of our lives. It interrogates a world order that accommodates guilt but offers no truly ethical course correction.

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