The Connecting Talent to Opportunity Challenge is the most significant federal push yet to build a working education-to-employment pipeline at the state level. But another platform won't solve the problem. Unicon breaks down the three components every successful talent marketplace depends on: shared governance, trusted data, and the infrastructure to make existing systems actually work together.

Skills-based hiring has produced plenty of badges, wallets, and credentials, yet still lacks the shared infrastructure to make them work together. This first post in Unicon's ed-to-workforce series argues that connecting learners with employers at scale depends on shared data standards, common skills taxonomies, and the governance to support them.

Learnvia, the free AI math tutoring platform developed by Carnegie Mellon and Unicon, just won a 1EdTech Teaching and Learning Innovation award. Here's how the platform works and why it offers a replicable model for bringing AI tutors into sustainable, widespread use.

Learn how to plan, govern, and scale AI in higher education with a practical five-step framework covering use cases, data governance, prototyping, and deployment.

AI adoption in higher ed is accelerating, but pilots alone don't drive outcomes. Explore real Unicon use cases in AI tutoring, career advising, and learner mobility- and the data infrastructure that makes them work.

AI initiatives fail without clean, governed data. Learn how institutions can build the data governance foundation needed to scale AI responsibly and effectively.

AI is exposing the growing gap between traditional degrees and real workforce needs and skills-based credentials alone won't close it. This article explores why interoperable, verifiable digital credentials require a data infrastructure foundation, and how institutions can build one that learners and employers can actually trust.

As browser restrictions phase out third-party cookies, the EdTech industry needed a secure path forward for LTI 1.3. This article breaks down the new 1EdTech specifications, how the solution works, and what institutions and vendors need to know next.

Learning Experience Design goes beyond instructional design by combining learner-centered design, technology, and data. Explore how these three elements work together to create more engaging, measurable, and personalized learning experiences.

Choosing the right identity and access management tools can be challenging. This guide compares midPoint and Grouper within the InCommon Trusted Access Platform and explains where each solution fits in a modern IAM strategy.

How do you know if a course is actually effective? This article explores the Kirkpatrick Model and outlines practical ways organizations can measure learning outcomes, learner behavior, and overall training impact.

LTI 1.3 Dynamic Registration simplifies how learning tools connect with LMS platforms by reducing manual setup and improving interoperability. Learn how it works and why it matters for institutions and EdTech providers.