World Congress 2026 Europe • Jul 10, 2026 • Session details

Future of Mobile AI. What On-Device Intelligence Means for App Developers

Sasha Denisov

Stop paying exorbitant cloud API fees for mobile AI. Learn how modern NPUs and on-device models let you build zero-latency, offline-first applications with complete data privacy.

Starting at 22:03 · Watch from the beginning

Future of Mobile AI. What On-Device Intelligence Means for App Developers thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

3:21 min

Reducing cloud dependency with on-device edge AI models

Precious Osaro Precious Osaro · World Congress 2026 Europe

48 sec

Shifting artificial intelligence models to local smartphone hardware

Chris Heilmann Chris Heilmann +1 · LIVE

2:26 min

Cost and latency pressures pushing AI to the edge

Moe Sani Moe Sani · World Congress 2026 Europe

51 sec

Adopting hybrid approaches for browser-based AI models

Jason Mayes · Coffee With Developers

2:12 min

Distilling cloud AI capabilities into local device models

4:54 min

Deploying Gemma open models for on-device processing

Paige Bailey Paige Bailey · World Congress 2026 North America

Upcoming sessions on this topic

Open session

Built-In AI in the Browser: Practical Capabilities for Modern Web Apps

  • Piyush Gupta

    Expedia

    Senior Engineering Manager

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs

  • Aakriti Aggarwal

    IBM Research

    Research Engineer

  • Bhavishya Pandit

    66degrees

    Leading AI Innovation