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Computer Weekly – 29 January 2019: A vintage digital transformation for Majestic Wines
sponsored by ComputerWeekly.com
EZINE: In this week's Computer Weekly, we examine the digital transformation of retailer Majestic Wines and find out how buying rival Naked Wines led to a cloud overhaul of the firm's IT. We look at the challenges for IT managers as they prepare for the end of Windows 7 support. And our buyer's guide discusses deep learning technology. Read the issue now.
Posted: 25 Jan 2019 | Published: 25 Jan 2019

ComputerWeekly.com

Computer Weekly – 7 November 2017: The ethics of software development
sponsored by ComputerWeekly.com
EZINE: Take a look at this edition of ComputerWeekly to learn more Uber, Volkswagen, and other companies that have experience with software ethics issues, how they've dealt with them, and what the consequences have been.
Posted: 03 Nov 2017 | Published: 03 Nov 2017

ComputerWeekly.com

The Future of Manufacturing Visibility and Traceability in the Digital Age
sponsored by Sage
WHITE PAPER: Read this white paper to learn how traceability is key to cutting-edge, successful manufacturing visibility projects that are helping organizations embrace Industry 4.0 and all its benefits including the Internet of Things, big data analytics, and the cloud.
Posted: 14 Apr 2021 | Published: 14 Apr 2021

Sage

The Changing Face of ERP: Trends and Predictions
sponsored by TechTarget
RESOURCE: Take a brief survey to access our ERP guide and explore what skills you should be focusing on amid the growing ERP skills gap.
Posted: 24 Mar 2021 | Published: 28 Mar 2020

TechTarget

Essential Guide: Application Performance Management
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This guide to managing application performance covers transaction speeds, networking, workflow and tools for performance detection and diagnosis.
Posted: 30 Nov 2017 | Published: 30 Nov 2017

ComputerWeekly.com

How Digital Twins and Model Ops Operationalize Data Science for Manufacturing
sponsored by TIBCO
WHITE PAPER: Machine learning (ML) models are immensely useful tools for organizations seeking to build and understand digital twins for their real-life manufacturing processes. Read on to learn how you can quickly optimize manufacturing processes and provide your company with valuable real-time insight on your equipment and processes.
Posted: 24 Aug 2020 | Published: 24 Aug 2020

TIBCO

Veracode Secure Development Survey
sponsored by Veracode, Inc.
WHITE PAPER: Download this resource to see how your peers are responding to the biggest challenges to the current state of secure software development and its changing methodologies.
Posted: 02 Feb 2018 | Published: 02 Feb 2018

Veracode, Inc.

Creating your own future proof Private Cloud with a Software-Defined Datacentre solution
sponsored by OVH
WHITE PAPER: One of the most promising paths to virtualization continues to be a software-defined data center (SDDC). A SDDC gives your organization access to the benefits of the private cloud while also delivering a unified configuration of applications, resources, and infrastructure. Read OVHcloud’s white paper to better understand the basics of the SDDC now.
Posted: 18 Dec 2019 | Published: 18 Dec 2019

OVH

ERP and Digital Transformation: Data For All
sponsored by Capriza
EGUIDE: Digital transformation has reached the manufacturing sector. New, cloud-based ERP systems that can easily capture and measure data are replacing old systems that are unable to integrate with the cloud. Read this expert guide to learn other ERP trends, along with problems ERP vendors still need to address.
Posted: 09 Jul 2018 | Published: 05 Jul 2018

Capriza

Key Microsoft Azure App Service Features for Cloud Development
sponsored by Microsoft, Intel, SAP
EGUIDE: In this expert e-guide, we explore how to simplify your cloud app experience with technologies like Azure. Find out how to improve cloud development initiatives, and delve down into topics like cloud services for serverless computing, AI, and containers.
Posted: 02 Jan 2018 | Published: 29 Dec 2017

Microsoft, Intel, SAP
 

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