Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud


Price: $65.99 - $37.00
(as of Dec 04,2024 07:08:58 UTC – Details)


From the brand

oreilly

oreilly

Explore our collection

Oreilly

Oreilly

Sharing the knowledge of experts

O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O’Reilly Media; 1st edition (November 21, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 359 pages
ISBN-10 ‏ : ‎ 1098151615
ISBN-13 ‏ : ‎ 978-1098151614
Item Weight ‏ : ‎ 1.3 pounds
Dimensions ‏ : ‎ 6.9 x 0.9 x 9.1 inches


In today’s rapidly evolving digital landscape, organizations are increasingly turning to data and machine learning platforms to drive innovation and gain a competitive edge. Architecting these platforms in the cloud is crucial for enabling analytics and AI-driven innovation.

By harnessing the power of cloud computing, organizations can leverage scalable and flexible infrastructure to store and process vast amounts of data. This allows for more efficient data management and analysis, as well as the ability to quickly scale up or down based on demand.

Furthermore, cloud-based machine learning platforms provide access to powerful tools and algorithms that can help organizations extract valuable insights from their data. By incorporating AI-driven capabilities into their analytics processes, organizations can uncover hidden patterns, trends, and correlations that can inform strategic decision-making and drive business growth.

Architecting data and machine learning platforms in the cloud also enables organizations to take advantage of advanced analytics techniques such as predictive modeling, natural language processing, and image recognition. These capabilities can help organizations gain a deeper understanding of their customers, optimize operations, and identify new opportunities for innovation.

In conclusion, architecting data and machine learning platforms in the cloud is essential for enabling analytics and AI-driven innovation. By leveraging the scalability, flexibility, and advanced capabilities of cloud computing, organizations can unlock the full potential of their data and drive transformative change in their industries.
#Architecting #Data #Machine #Learning #Platforms #Enable #Analytics #AIDriven #Innovation #Cloud