Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Revolutionizing Education with AI: On-Device Solutions for Emerging Markets

In this episode of To the Edge and Beyond, host Michelle Dawn Mooney explores how Intel’s AI solutions are revolutionizing education. Joined by Chris O’Malley, General Manager of Intel’s Health, Education & Consumer Industries; Bharath Srivats, Marketing Manager at Intel; and Paulo Costa, VP of Sales at Critical Links, the conversation delves into the transformative…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Michelle Dawn Mooney · AiC3 Micro CloudClassroomsCritical Links
Share

Key takeaways

01

In this episode of To the Edge and Beyond, host Michelle Dawn Mooney explores how Intel’s AI solutions are revolutionizing education.

02

Joined by Chris O’Malley, General Manager of Intel’s Health, Education & Consumer Industries; Bharath Srivats, Marketing Manager at Intel; and Paulo Costa, VP of Sales at Critical Links, the conversation delves into the transformative…

In this episode of To the Edge and Beyond, host Michelle Dawn Mooney explores how Intel’s AI solutions are revolutionizing education. Joined by Chris O’Malley, General Manager of Intel’s Health, Education & Consumer Industries; Bharath Srivats, Marketing Manager at Intel; and Paulo Costa, VP of Sales at Critical Links, the conversation delves into the transformative power of AI in education, particularly in emerging markets.

The discussion highlights Intel’s on-device, offline AI models, which enable personalized learning paths for students while reducing dependency on cloud infrastructure. “AI tutors have the potential to shift learning outcomes by providing customized feedback and pacing,” says Chris O’Malley. This innovation addresses the long-standing challenge of scaling one-on-one tutoring to large classrooms.

Paulo Costa emphasizes the importance of bridging the digital divide: “Emerging markets need cost-effective, offline AI solutions to empower students and teachers without reliable internet access.” Critical Links’ C3 Micro Cloud, powered by Intel Core Ultra processors, is designed for exactly this purpose. This robust system delivers AI capabilities tailored for rural and underserved schools, ensuring data privacy, local adaptability, and resilience to challenging environments.

Intel’s Core Ultra processors bring groundbreaking performance and affordability, enabling smaller institutions to deploy AI at scale. “We’ve reduced latency by five times and increased throughput by over two times, making AI accessible even in resource-constrained environments,” Costa adds.

The episode also underscores the collaboration between Intel and partners like Critical Links to ensure technology addresses educational challenges. “It’s not just about innovation,” says O’Malley. “It’s about creating solutions that genuinely transform learning experiences for students worldwide.”

Ready to explore how AI can transform your classrooms? Visit our resources to learn more about Intel’s education technology solutions. Connect with our guests on LinkedIn for further insights and collaboration opportunities.

Subscribe to

To The Edge and Beyond

on

Apple Podcasts

and

Spotify

for more insights from Intel’s Internet of Things Group.

About the author

MD

Michelle Dawn Mooney is a media professional and host known for her work in broadcast journalism and B2B content.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

B2B tech lead gen in 2026 is a timing problem, not a volume problem

B2B tech lead gen in 2026 is a timing problem, not a volume problem

In the context of B2B technology lead generation, timing is becoming increasingly critical over sheer volume. Buyers often complete a significant portion of their research about vendors before engaging with sales representatives. This shifting dynamic necessitates changes in how enterprise tech teams manage outbound strategies.

  • 01Timing is essential in B2B tech lead generation.
  • 02Buyers complete most of their vendor research before sales interactions.
  • 03Enterprise tech teams need to adjust outbound strategies accordingly.

Jul 7, 2026

Microsoft Cuts 4,800 Jobs to Fund Its AI Buildout. Read the Payroll, Not the Headlines.

Microsoft Cuts 4,800 Jobs to Fund Its AI Buildout. Read the Payroll, Not the Headlines.

Microsoft is cutting 4,800 jobs as part of its strategy to redirect resources towards developing its AI capabilities. While the reduction in the gaming sector is getting widespread media coverage, the significant focus is on operational investments. This shift highlights Microsoft's priority in AI advancements over traditional segments.

  • 01Microsoft is laying off 4,800 employees.
  • 02The company is reallocating resources to AI development.
  • 03Media coverage is focusing more on gaming cuts rather than operational strategy.

Jul 6, 2026

Nvidia's Next AI Rack Costs Nearly Double the Last One, and Memory Is Why. What Infrastructure Buyers Should Budget For.

Nvidia's Next AI Rack Costs Nearly Double the Last One, and Memory Is Why. What Infrastructure Buyers Should Budget For.

Nvidia's next-generation Vera Rubin rack will cost hyperscalers $7.8 million—nearly double the prior generation—with memory now accounting for 25-30% of total cost instead of 5-10%. This shift signals that AI infrastructure budgeting must focus on total system cost rather than GPU pricing alone.

  • 01Memory costs jumped 435% to roughly $2 million per rack due to increased LPDDR5X capacity and 3D NAND storage, making it a strategic budget variable across all technology purchases
  • 02GPU share of bill of materials fell from 63% to 51% while memory rose to 25-30%, requiring infrastructure planners to model AI spend on total system cost not accelerator count
  • 03Memory supply constraints and tight availability now warrant the same scheduling and planning attention as GPU allocation, with procurement structure able to move final pricing by $1+ million per rack

Jul 6, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

MD
Michelle Dawn Mooney

Michelle Dawn Mooney is a media professional and host known for her work in broadcast journalism and B2B content.