Q&A: Analytics-Driven Embedded Systems
Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. This allows for more efficient data processing, leading to better real-time response and reduced communication overhead. I talked with Paul Pilotte, Technical Marketing Manager at MathWorks, about how the company is addressing this area, and how its tools can be used to create analytics-driven embedded systems. Wong: What are analytics-driven embedded systems and why are they important to today's design engineers? Pilotte: The ability to create analytics that process massive amounts of business and engineering data is enabling designers in many industries to develop intelligent products and services.
Jun-19-2016, 18:55:28 GMT
- Industry:
- Automobiles & Trucks > Manufacturer (0.30)
- Information Technology > Services (0.35)
- Technology:
- Information Technology
- Architecture > Embedded Systems (1.00)
- Artificial Intelligence > Machine Learning (1.00)
- Data Science > Data Mining
- Big Data (0.74)
- Information Technology