Research


Articles

  • Global Tech Execs Expect Advancements in AI to Increase Security Threats

    silhouetted human figures stand opposite a glowing digital brain, surrounded by abstract circuits and shadowy shapes

    Forty-one percent of global tech executives in a recent NetApp survey said they believe advancements in AI will significantly increase security threats. The firm's second annual Data Complexity Report points to 2025 as "AI's make or break year."

  • Data Integration Market: Cloud Giants Down, AI Up

    "By 2027, AI assistants and AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60 percent and enable self-service data management," according to research firm Gartner.

  • Report Highlights Security Risks of Open Source AI

    In these days of rampant ransomware and other cybersecurity exploits, security is paramount to both proprietary and open source AI approaches — and here the open source movement might be susceptible to some inherent drawbacks, such as use of possibly insecure code from unknown sources.

  • Report Identifies Rise in Phishing-as-a-Service Attacks

    Cybersecurity researchers at Trustwave are warning about a surge in malicious e-mail campaigns leveraging Rockstar 2FA, a phishing-as-a-service (PhaaS) toolkit designed to steal Microsoft 365 credentials.


Podcasts

  • Why It's Time to Examine Institutional Strategy for a Multi-Modal Future

    Among the core themes of the recently released Changing Landscape of Online Education report is that growing student demand for online and hybrid learning is moving higher education toward a multi-modal future. We spoke with Dr. Bethany Simunich, co-director of the CHLOE Project, about key takeaways from the CHLOE 8 survey and why institutions that aren't examining their online strategy may be putting themselves at a competitive disadvantage.

  • The Science of Studying Student Learning at Scale

    A team from Indiana University set out to expand the scope of pedagogical research by creating ManyClasses, a model for studying how students learn not just in a single classroom, but in a variety of different classes across multiple universities. For this episode of the podcast, Executive Editor Rhea Kelly speaks with researchers Emily Fyfe and Ben Motz about how ManyClasses works, the challenges of using a learning management system to conduct research, what they learned from the first ManyClasses experiment, and more.