AI has disrupted educational technology more than most disciplines. Generative AI tools like ChatGPT cut production time for instructional materials from days down to minutes. Workers can find relevant content more easily, and subject matter experts use the tools to capture and share their knowledge.

Agentic AI brings still more capabilities as agents take over tasks such as the tedious cut-and-paste work and assist instructors by monitoring student activities and answering questions.

In this episode of Enterprise Apps Unpacked, we explore how AI is transforming learning management systems and what senior business and IT managers should do to manage how employees use AI for learning.

Featuring: Zach Pendleton, Chief Architect, Instructure

In today's episode, we'll also cover:

• How AI helps local workforce development efforts.
• The latest features of Instructure's Canvas LMS.
• Challenges of using AI in corporate learning.

References:

• Workplace learning: A complete guide for businesses
• 4 use cases for an LMS with AI
• Instructure's Canvas LMS page

To learn more about enterprise applications, check out TechTarget CIO.

The openness of ERP systems has become controversial when it comes to AI, which needs access to ERP data to learn, understand context and carry out transactions on behalf of users.

ERP vendors are trying to figure out how to make their customers' data available to generative and agentic AI and what kinds of controls to put on it. Some impose certain restrictions while others claim to have a completely open approach.

In this episode of Enterprise Apps Unpacked, we explore the importance of data access in implementing AI in ERP systems, the different approaches taken by two major vendors and how the issue affects AI's ability to handle workflows that cross different applications.

Featuring: Max Fisher, Director of Product Strategy, Infor Velocity Suite

In today's episode, we'll also cover:

• How Infor's data-access approach compares to SAP's.

• Customers who are using agentic AI on Infor CloudSuite ERP.

• How complete the Model Context Protocol (MCP) standard is for multi-agent orchestration.

References:

• Vendors fortify AI in ERP to assure buyers, deter frontier AI rivals

• How to avoid data paralysis with a practical AI data strategy

• Infor Velocity Suite page

To learn more about enterprise applications, check out TechTarget Enterprise Software.

The IT industry consensus seems to be that deploying reliable, enterprise-scale AI requires first getting the data in order. But dissenting voices say that's not necessarily the case and that it's better to achieve small wins earlier than wait for perfect data and risk losing out on opportunities.

That doesn't mean neglecting data cleansing, integration and unification. Those steps are necessary for agentic AI to work across the entire enterprise. And they can be done in parallel with the initial AI app development.

In this episode of Enterprise Apps Unpacked, we explore how to implement a dual-track AI data strategy, how AI itself can speed up and improve data management, and why defining business value first is essential.

Featuring: Helena Jochberger, VP and Global Lead of Manufacturing and Consulting, CGI; Gaby Martin, Director, National AI Strategy & Technical Lead, CGI U.S.

Today's episode also covers:

• How CGI clients successfully followed the strategy.
• Lessons learned.
• Talent issues, including the role of data scientists and outsourcing.

References:

• Can industry process models fix the agentic AI data problem?
• How agentic AI amplifies data management challenges
• Jochberger blog post on how the C-suite is rethinking AI

To learn more about enterprise applications, check out TechTarget Enterprise Software.