Friday, November 2, 2018

The data science lifecycle: An overview

TechTarget
Business Technology Research     November 02, 2018
TechTarget
IN THIS ISSUE
The data science lifecycle: An overview
SPONSORED BY: IBM
Download this resource to get an overview of a typical 6-stage data science lifecycle, common challenges organizations can encounter and how you accelerate and optimize the value of analytics in your organization. Plus, see how IBM Watson could help improve your data science projects.
Data protection: A look at future authentication trends
SPONSORED BY: Evident
It's time to reconsider how we identify ourselves online. Download this e-book for a look at the future of personal data and online verification.
Trailblazers in AI and data analytics: An expert guide
SPONSORED BY: Wipro
AI and machine learning technologies continue to pick up steam within the enterprise, but they are still not without their many trials and tribulations. Download this expert guide to uncover how to hurdle the many AI obstacles out there and market visions and business challenges of 3 AI service providers.
AWS Reserved Instance best practices: 5 step guide
SPONSORED BY: Cloudability
Tune into this webinar to hear from cloud experts from AWS and Cloudability as they weigh in on the intricacies of Reserved Instance (RI) purchasing, how to properly leverage RIs for greater cost savings, and much more.
Scale your IP network without compromising performance
SPONSORED BY: Nokia
This white paper explores the different advantages of merchant vs. in-house silicon for IP networking at webscale. From IP interconnect functions to POP edge and backbone routing, find out how to build and scale your network while maintaining high performance.
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