
Enabling intelligence from the cloud to the edge and endpoint sustainably
Artificial Intelligence (AI) is transforming every aspect of life. Artificial Intelligence of Things (AIoT) is a transformational megatrend driven by four underlying market dynamics which include technology convergence, decentralized intelligence, a new design mindset, and an explosion of data.

Technology Convergence
IoT, AI, 5G maturing roughly at the same time

Decentralized Intelligence
Tremendous benefits of a distributed intelligence model

New Design Mindset
AI disrupting system design approaches

Data Explosion
Endpoint data creation to grow at 85% (2017-2025)*
*Source: IDC Research
Traditionally, the IoT has been built on a cloud-centric intelligence architecture. To truly scale and enable intelligence at all levels of the network, a decentralized intelligence architecture is needed. This means running cloud-independent inference engines on power-efficient or tiny computers within the edge and endpoints. A decentralized intelligence model has tremendous technical and economic benefits as shown below.
Why decentralize intelligence?
- Minimize latency by transforming data at the source
- Optimize processing for time-critical applications
- Minimize security concerns related to the transfer and flow of data
- On-device data handling tightly coupled to hardware root-of-trust
- Maximizing data gravity by operating on data at the source
- Reduced data transport improves power and cost efficiencies
IoT systems can be thought of as an interplay of one or more core technologies shown in the diagram below. AI and Machine Learning (ML) can be viewed as an enabler that bridges underlying technologies and applications. The use of AI can be classified broadly into three categories – Voice which deals with spoken voice and linguistics, Vision which deals with cameras, machine vision and robot vision and, finally, Real-Time Analytics which deals with mostly sensor data and time-series data that is captured from sensors.

Renesas offers a comprehensive solution stack for AI/ML developers. A broad product portfolio spanning across sensing, connectivity, computing, and actuation covers all layers of the IoT. In addition, software, tools, solutions, and a partner ecosystem that has been purpose-built to accelerate your AIoT designs.
Renesas Ready Partner Network
Partner Ecosystem
RA Arm® Cortex®-M MCUs
RX 32-Bit Performance / Efficiency MCUs
RL78 Low Power 8 & 16-bit MCUs
RZ 32 & 64-bit MPUs
AI/ML Software
Real-time Analytics
Voice
Embedded Software
Tools
Hardware Portfolio
AI at the Core
AI at the Edge
AI at the Endpoint
MPU/MCU
Power
Connectivity
AMS and CMIC
Environmental Sensors