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Download a file from SharePoint with the API

Many organizations are turning to SharePoint to store their files and share documents. Allowing your systems to access these files might seem like a challenge at first, but with the help of the Microsoft Graph API, you can quickly download the file to start processing on your back-end. Download the example solution to get started. Use the created functions in your solution to simplify Microsoft Graph integration.

Integrating with Microsoft Graph API - Creating a Calendar Event

Microsoft Graph API allows developers to access data and services across a wide range of Microsoft cloud services. Admittedly setting up permissions and security can be challenging, but once that is sorted, you will be able to access Microsoft services such as Office365, Outlook and Azure. Calling the Graph API with Linx allows you to efficiently automate tasks, or integrate with Microsoft products to ensure that functionality and data is accessible by your other systems.

Harness These 3 Automation Tools to Reboot Your Enterprise for Success in 2024

Learn how to implement end-to-end process automation strategies successfully. Discover which hyperautomation technologies drive immediate and future business impact in the Gartner® Emerging Tech Impact Radar: Hyperautomation Report. Discover which use cases you should focus on for business process automation. Download theGartner® Market Guide for Business Process Automation Tools.

Navigating the Future of Process Automation: Low-Code Insights for IT Leaders

Low-code is here to stay. In fact, Gartner anticipates the adoption of low-code development platforms will grow 20% per year to $44.5 billion by 2026. However, while low-code offers enterprise IT leaders undeniable advantages, its role in shaping the future of process automation is nuanced. This blog delves into the dichotomy of low-code's potential, exploring why it is the future but not the sole solution for process automation.

Intelligent Automation Examples: 5 Ways to Grow Enterprise Efficiency

Intelligent automation is a term for the combination of process automation and artificial intelligence (AI). And it’s creating efficiency gains for enterprises across industries. In this article, discover intelligent automation examples that will illuminate common use cases that enterprises should consider adopting to improve efficiency and make space for innovation.

Transforming Security Operations: The Power of Adversary Emulation

The Security Operations team at Appian is responsible for detecting, responding to, and shutting down potential cybersecurity threats against our company. As an innovative and cutting-edge security team, we put a great deal of effort into coming up with new and novel ideas for how a potential threat may manifest. Threat ideas can come from domain industry experience, interacting with internal stakeholders, or reading security blogs.

Surprising Takeaways from Appian's Developer Sentiment Survey

Choosing the right development platform can be pivotal for a developer's career trajectory, job satisfaction, and the quality of solutions they’re able to create. The latest data from the Appian Developer Sentiment Survey revealed that the Appian Platform not only advances developer careers but also redefines what they can achieve in the digital landscape. Developers are increasingly recognizing the value of Appian for enhancing job prospects and attaining overall job satisfaction.

Information Governance vs. Data Governance: A Comparative Analysis

Every digital interaction generates data. This data can provide invaluable insights and drive effective decision-making when managed effectively. . However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Quality Framework: What It Is and How to Implement It

A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. The goal is to ensure that organizational data meets specific standards, i.e., it is accurate, complete, consistent, relevant, and reliable at all times—from acquisition and storage to subsequent analysis and interpretation. eBook: A Guide to Data Quality Management Download eBook.