Examining the challenges of data black holes and providing a practical tips for organizations seeking to harness the full potential of their data ecosystems.
Exploring the crucial strategies necessary to secure embedded systems in today’s connected world, highlighting best practices for threat modeling, secure design, and compliance with emerging regulations.
Exploring the transformative potential of voice-enabled digital products in promoting digital accessibility and inclusion.
Examining the challenges of data black holes and providing a practical tips for organizations seeking to harness the full potential of their data ecosystems.
Showcasing the environmental and economic benefits of integrating sustainable materials and robust recycling practices into the automotive value chain.
This article highlights the key reasons for AI project failures and suggests strategies for success.
Delving into the multifaceted applications of LLMs in retail, examining their impact on customer engagement, operational efficiency, and decision-making processes.
This is an English adaptation of the TV interview with our CTO Carmen Kolcsár aired on Antena 1
Presenting some insights and 10 proven ways to effectively address automotive software development complexity.
rinf.tech and NXP team up to develop a Connected Vehicle cybersecurity application backed by Bitdefender’s Security Agent.
Exploring how IIoT facilitates predictive maintenance; discussing its essential components and implementation challenges and considerations.
Delving into the nuances of no-code and low-code platforms, with a focus on their application in retail tech solutions development.
Providing a comprehensive overview of smart retail, exploring the technological innovations that underpin it, highlighting its benefits, and presenting guidance for retailers on adopting these advanced solutions.
This award is a testament to rinf.tech’s unwavering commitment to excellence, innovation, and the sustained growth of our operations in Romania.
Exploring the benefits, potential pitfalls, and best practices for harnessing the AI technology in product development.
