DevOps.com

  • Latest
    • Articles
    • Features
    • Most Read
    • News
    • News Releases
  • Topics
    • AI
    • Continuous Delivery
    • Continuous Testing
    • Cloud
    • Culture
    • DataOps
    • DevSecOps
    • Enterprise DevOps
    • Leadership Suite
    • DevOps Practice
    • ROELBOB
    • DevOps Toolbox
    • IT as Code
  • Videos/Podcasts
    • Techstrong.tv Podcast
    • Techstrong.tv Video Podcast
    • Techstrong.tv - Twitch
    • DevOps Unbound
  • Webinars
    • Upcoming
    • On-Demand Webinars
  • Library
  • Events
    • Upcoming Events
    • On-Demand Events
  • Sponsored Content
  • Related Sites
    • Techstrong Group
    • Container Journal
    • Security Boulevard
    • Techstrong Research
    • DevOps Chat
    • DevOps Dozen
    • DevOps TV
    • Techstrong TV
    • Techstrong.tv Podcast
    • Techstrong.tv Video Podcast
    • Techstrong.tv - Twitch
  • Media Kit
  • About
  • Sponsor
  • AI
  • Cloud
  • Continuous Delivery
  • Continuous Testing
  • DataOps
  • DevSecOps
  • DevOps Onramp
  • Platform Engineering
  • Low-Code/No-Code
  • IT as Code
  • More
    • Application Performance Management/Monitoring
    • Culture
    • Enterprise DevOps
    • ROELBOB

Home » Blogs » AI » Appian Infuses Low-Code Platform With AI

Appian Infuses Low-Code Platform With AI

Avatar photoBy: Mike Vizard on June 11, 2020 1 Comment

Appian this week released an update to its low-code application development and deployment platform that employs artificial intelligence (AI) to recommend best next steps, including how to address cybersecurity issues.

Recent Posts By Mike Vizard
  • Automation Challenges Holding DevOps Back
  • Cisco AppDynamics Survey Surfaces DevSecOps Challenges
  • Jellyfish Adds Tool to Visualize Software Development Workflows
Avatar photo More from Mike Vizard
Related Posts
  • Appian Infuses Low-Code Platform With AI
  • Low-Code and RPA With Appian CTO Michael Beckley
  • Appian Extends Low-Code Approach to Aggregating Data
    Related Categories
  • AI
  • Blogs
  • DevOps Toolbox
    Related Topics
  • ai
  • application deployment
  • application development
  • application security
  • artificial intelligence
  • low-code development
Show more
Show less

In addition, the latest version of Appian also makes it easier to incorporate robotic process automation (RPA) modules to automate rote tasks in addition to adding support for Google Cloud Document AI, which makes extracting documents for use within an application that employs RPA easier.

TechStrong Con 2023Sponsorships Available

Malcom Ross, vice president of product strategy for Appian, said the machine learning algorithms embedded with the Appian cloud platform make it possible to embrace best DevSecOps practices to accelerate the development of secure applications. With the rise of automated machine learning (autoML) it’s also becoming easier to automate the process of applying machine learning algorithms to application development and deployment, he said.

While low-code platforms go a long way toward simplifying application-building, Ross said not enough attention is being paid to the deployment process. The goal is not necessarily to roll out more applications faster but to ensure whatever applications are deployed achieve a level of quality that eliminates the need to address cybersecurity issues post-deployment.

Appian achieves that goal by running automated tests for an application, which now also include Appian Plug-ins to detect potential mismatches in plug-in versions or plug-ins that are missing.

Ross said that when it comes to AI there always will be some trepidation. However, there are many manual tasks that many developers would just as soon see automated using AI. As AI becomes more widely relied on to drive consumer application experiences, the more acceptance there will be among IT teams to automate internal processes, he noted, adding cybersecurity is one area in which most developers will appreciate whatever help AI can provide.

AI is not likely to replace the need for a DevOps team or cybersecurity professionals anytime soon. However, at a time when many organizations are massive amounts of economic pressure, it’s clear AI has a significant role to play in reducing the total cost of IT. Despite advances in IT automation, the cost of labor remains one of the most expensive elements of any IT budget. As such, IT organizations have a keen interest in making sure DevOps teams and cybersecurity teams are not wasting time on tasks that might be better handled by a machine.

Obviously, the way AI systems and IT teams will interact with one another is still being defined. However, the one thing that is certain is platforms such as Appian will be making more recommendations about what needs to be done when. It may take some time for IT professionals to have confidence in those AI recommendations; however, in terms of mistakes that are routinely made it’s also apparent IT teams will soon be running out of excuses.

Filed Under: AI, Blogs, DevOps Toolbox Tagged With: ai, application deployment, application development, application security, artificial intelligence, low-code development

« JumpCloud Releases Directory Insights, a 360° View of User Access Activity
Game Time »

Techstrong TV – Live

Click full-screen to enable volume control
Watch latest episodes and shows

Upcoming Webinars

Five Best Practices for Safeguarding Salesforce Data
Thursday, February 2, 2023 - 1:00 pm EST
Modernizing Software Delivery for Regulated Industries With Harness and AWS
Thursday, February 2, 2023 - 3:00 pm EST
Automating Day 2 Operations: Best Practices and Outcomes
Tuesday, February 7, 2023 - 3:00 pm EST

Sponsored Content

The Google Cloud DevOps Awards: Apply Now!

January 10, 2023 | Brenna Washington

Codenotary Extends Dynamic SBOM Reach to Serverless Computing Platforms

December 9, 2022 | Mike Vizard

Why a Low-Code Platform Should Have Pro-Code Capabilities

March 24, 2021 | Andrew Manby

AWS Well-Architected Framework Elevates Agility

December 17, 2020 | JT Giri

Practical Approaches to Long-Term Cloud-Native Security

December 5, 2019 | Chris Tozzi

Latest from DevOps.com

Automation Challenges Holding DevOps Back
February 1, 2023 | Mike Vizard
5 Unique Challenges of Mobile App Testing
February 1, 2023 | Frank Moyer
Cisco AppDynamics Survey Surfaces DevSecOps Challenges
January 31, 2023 | Mike Vizard
Jellyfish Adds Tool to Visualize Software Development Workflows
January 31, 2023 | Mike Vizard
3 Performance Challenges as Chatbot Adoption Grows
January 31, 2023 | Christoph Börner

TSTV Podcast

On-Demand Webinars

DevOps.com Webinar ReplaysDevOps.com Webinar Replays

GET THE TOP STORIES OF THE WEEK

Most Read on DevOps.com

Atlassian Extends Automation Framework’s Reach
January 26, 2023 | Mike Vizard
Software Supply Chain Security Debt is Increasing: Here̵...
January 26, 2023 | Bill Doerrfeld
The Strategic Product Backlog: Lead, Follow, Watch and Explo...
January 26, 2023 | Chad Sands
Stream Big, Think Bigger: Analyze Streaming Data at Scale
January 27, 2023 | Julia Brouillette
What’s Ahead for the Future of Data Streaming?
January 27, 2023 | Danica Fine
  • Home
  • About DevOps.com
  • Meet our Authors
  • Write for DevOps.com
  • Media Kit
  • Sponsor Info
  • Copyright
  • TOS
  • Privacy Policy

Powered by Techstrong Group, Inc.

© 2023 ·Techstrong Group, Inc.All rights reserved.