Established in 2011, Very Technology initially focused on software development and websites, eventually finding a niche in the Internet of Things (IoT). According to Daniel Fudge, director of data science and machine learning at Very, one of the company’s core strengths is in its ability to bridge the gap between ideation and execution.
Whether it involves aiding startups in their maiden venture or assisting traditional companies in integrating connectivity and intelligence, Very approaches each project with a startup mentality, Fudge said. They offer a range of services, from electrical and board design to data pipeline management and software development. “We cater to a wide range of client needs,” he explained.
When it comes to IoT, Fudge says manufacturing and edge computing are emerging as focal points of technological advancement. From predictive maintenance solutions in manufacturing to edge computing applications like automatic speech recognition, industries are using the advanced technologies of Industry 4.0 to enhance operational efficiency and drive innovation.
Incorporating IoT in Manufacturing
Connectivity and integration have changed the manufacturing process. Very emphasizes the significance of utilizing IoT technologies for tasks like inspection and process optimization. By leveraging machine vision and data analytics, companies can detect defects, optimize operations and gain valuable insights into their manufacturing environments, Fudge said.
Machine learning plays a big role in deciphering complex data patterns and streamlining manufacturing processes, too, Fudge noted. By harnessing artificial intelligence (AI) and machine learning algorithms, companies can detect process shifts, standardize operations and unlock invaluable insights into their manufacturing environment, he said, noting that the collaboration between human expertise and technological advancements creates a synergistic approach to enhancing manufacturing capabilities.
While the allure of AI is undeniable, Fudge says it is essential to manage expectations and navigate the complexities of AI integration effectively. He said that Very emphasizes the importance of iterative development cycles and incremental value delivery. By addressing challenges methodically and focusing on unlocking immediate value, companies can embark on a sustainable AI adoption journey, Fudge said.
When asked about security and data privacy in IoT deployments, Fudge said that Very emphasizes the importance of implementing robust security measures, particularly in data transmission and storage.
“That is something that we’ve had to...educate [customers about] but also up our game,” Fudge acknowledged, “because...you absolutely cannot have downtime, right?” By adopting a layered approach to data security and encryption, companies can mitigate potential risks and safeguard sensitive information, he said. Additionally, the bidirectional nature of IoT connectivity underscores the significance of securing data transmission both to and from the cloud.
According to Fudge, Very’s holistic approach to IoT deployment and innovation underscores the company’s commitment to guiding clients through the intricacies of product development—from concept to production.
