Tag: Big Data

In an era driven by data, understanding the intricate relationship between big data and digital signal processing is crucial. This blog post delves into how DSP techniques transform how we analyze vast datasets, enabling organizations to make more informed decisions and gain valuable insights.

In the era of the Internet of Things and smart technologies, Cardinal Peak is your trusted partner in shaping the future. Our experts are dedicated to pushing the boundaries of what's possible with smart home and smart city IoT.

Uncover how Industry 4.0 technologies and IoT are reshaping entire industries. Our blog dives deep into the transformative power of connected device engineering, paving the way for smarter, more efficient manufacturing operations and global supply chains.

The healthcare industry is undergoing a digital transformation. IoT healthcare devices enhance patient safety, improve care and provider decision-making, and drive better health outcomes. As healthcare delivery extends beyond the walls of hospitals, understanding the different product design and development challenges for Internet of Things in healthcare is vital for a successful launch.

With the ongoing proliferation of IoT devices, understanding how to build edge ML/AI applications using tools like STM32Cube.AI will only become more important. Our engineering expert tackles the process in this tutorial, outlining the steps necessary for building ML/AI applications at the edge.

As IoT devices continue to proliferate, knowledge of how to build ML/AI applications at the edge will increase in importance. In this post, our expert engineer highlights the steps involved in building such applications utilizing the OpenMV Cam.

Edge AI is about to take off. In this blog post, our expert engineer delves into the differences between AI and ML at the edge vs. in the cloud and discusses when to use each approach.

In this blog post, we delve into the skills an engineer needs to succeed in IoT, how to acquire that skill set, and the elements that are most exciting and challenging about working in the IoT space.

In this second part of this blog series, we'll delve into different use cases for queues, highlighting some of the most common computing applications in which queues are utilized.

Struggling to overcome machine learning model training challenges? Check out this post for tips and tricks from our engineering experts.

Training a machine learning model? In this post, our expert engineer details what all is required to effectively train a machine learning model and details some best practices for effectively training machine learning models.

In times like these, we asked ourselves, "what can we do to help?" Enter Cardinal Peak's engineering expertise. This post highlights our efforts to help Columbia University develop CovidWatcher, an application that surveys users about their exposure, symptoms, access to medical care, and how the coronavirus and restrictions are impacting their daily life.