Data Management Strategy at Microsoft (Packt)
Monday, 29 July 2024

This book examines Microsoft's data innovation and investment, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture.  Aleksejs Plotnikovs highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices, and looks at how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners.

<ASIN:‎ 1835469183 >

 

Author: Aleksejs Plotnikovs
Publisher: Packt Publishing
Date: July 2024
Pages: 270
ISBN: 978-1835469187
Print: ‎ 1835469183
Kindle: B0CW1KBV2P
Audience: Data managers
Level: Introductory
Category: Data Science

Topics include:

  • Develop a data-driven roadmap to achieve significant and quantifiable business goals
  • Discover the ties between data management and change management
  • Explore the data maturity curve with essential technology investments
  • Build, safeguard, and amplify your organization's unique Data Intellectual Property
  • Equip business leaders with trustworthy and high value data for informed decision-making
  • Unleash the value of data management and data governance to uplift your data investments

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Artificial Intelligence For Developers (In Easy Steps)

Author: Richard Urwin
Publisher: In Easy Steps
Date: September 2024
Pages: 192
ISBN: 978-1787910119
Print: 1787910113
Kindle: B0DBHZRZGM
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
So many books on AI why another?



Pearls of Algorithm Engineering

Author: Paolo Ferragina
Publisher: ‎Cambridge University Press
Pages: 326
ISBN: ‎978-1009123280
Print:1009123289
Kindle: B0BZJBGTLN
Audience: Admirers of Knuth
Rating: 5
Reviewer: Mike James

Algorithm engineering - sounds interesting.


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