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Category: Insights

rinf.tech Insights

Scoping The Fleet Management Solutions Market in 2023

build custom fleet management solution

This article addresses 6 trends that will shape the fleet management solutions market in the upcoming year.

6 Cloud Video Surveillance Trends to Watch in 2023

build solution for cloud cctv surveillance

This article explores the 6 major trends influencing cloud video surveillance industry in 2023.

DevLive with Bianca Barbu, Technical Director – Business Applications

DevTalks with Bianca Barbu

DevCon interviews Bianca Barbu, Technical Director – Business Applications at rinf.tech

4 Tech Trends Reshaping Business Landscape In 2023 and Beyond

Key tech trends 2023

This article recaps the findings of the recent McKinsey Report on the 4 tech trends reshaping the future business landscape.

CES 2023: 8 Thought-Provoking Tech Highlights

Our Team attended CES 2023 Las Vegas and brought back some cool takeaways and highlights that we’d like to share with you.

5 Steps to Evaluate Technology Providers in 2023

how to evaluate potential technology partner

This article shares the five steps you should take to ensure an extensive and unbiased evaluation process when choosing a technology provider in 2023.

Romania: Emerging Hotspot for Automotive Software Development

automotive software development outsourcing 2023

In this article, we dive deep into Romania’s Automotive Technology landscape including technologies, industry trends and stats, actors and demand-setters, etc.

How Embedded Software Development Will Shape Industry 4.0

how to develop embedded software

In this article, we dive deep into the Embedded Systems landscape and explore how embedded software development will shape Industry 4.0 in the months to come.

What Is Multiexperience (MX) and How Will It Benefit Your Business?

how to build multiexperience

In this article, we dive deep into MX as an innovative approach to digital transformation and overview its benefits for business.

Top 10 Machine Learning Algorithms And When To Apply Them

top ML algorithms 2022

This article provides an overview of Top 10 ML algorithms and shares examples of when to apply each.

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  • Custom Robotics
  • Validation by Robots
  • MATT Robot
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  • Homepage
  • Why
  • What
  • R&D Embedded
  • Embedded Software Engineering
  • Embedded & IoT
  • Devices & Integration
  • Hybrid & Private Cloud Optimizations
  • Mixed Realities
  • Digital Twin Development
  • Robotics
  • Custom Robotics
  • Validation by Robots
  • MATT Robot
  • Retail Robot
  • Business Application Development
  • Products for the New Gen
  • Distributed Platforms Made Real
  • Create Compelling User Experiences​
  • Keep Ahead of the Disruptors
  • HyperAutomation Ready
  • Enable the Hybrid Workforce
  • Unleash Value with Data
  • Quality Engineering – Robust Technology Practice
  • Automotive Software Development
  • Electric Drive is Now!
  • Engage with the Digital Cockpit
  • Safety First for Self-Driving Cars
  • Telematics Advancements
  • Validation by Robots
  • Business Application Development
  • Products for the New Gen
  • Distributed Platforms Made Real
  • Create Compelling User Experiences​
  • Keep Ahead of the Disruptors
  • HyperAutomation Ready
  • Enable the Hybrid Workforce
  • Unleash Value with Data
  • Quality Engineering – Robust Technology Practice
  • Automotive Software Development
  • Electric Drive is Now!
  • Engage with the Digital Cockpit
  • Safety First for Self-Driving Cars
  • Telematics Advancements
  • Validation by Robots
  • How
  • Certificates
  • Services Delivery Models
  • Methodologies
  • Consultancy & Research
  • Success Stories
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  • Automotive
  • Technology​
  • IoT & Connectivity
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