Robots and the Future of Marketing Research and Public Opinion Polling
Robots and the Future of Marketing Research and Public Opinion Polling
Overview: Automation is emerging as a strong technological force in various fields including marketing research and public opinion polling. Utilizing robotics in these sectors can pave the way for faster, more reliable, and less biased data collection, with significant improvements in efficiency and accuracy. The following sections discuss in-depth how robots and automation can transform these fields, including statistics demonstrating potential improvements.
Automation in Marketing Research: As technology advances, more businesses are realizing the potential of incorporating robotics and automation in their marketing research to obtain more accurate, timely and unbiased data. Currently, about 30% of time spent on marketing tasks could potentially be automated with available technologies, according to McKinsey & Company. This indicates a significant opportunity for growth and efficiency in marketing fields driven by robotics and AI tools. Moreover, about 40% of B2B marketers believe that AI is significantly revolutionizing their marketing efforts by providing real-time and pertinent data that enhances decision-making.
Robotics in Public Opinion Polls: Additionally, robotics are finding application in the field of public opinion polling. Automated phone sampling for public polls by robots is promising to be more accurate and efficient. A study by Pew Research Center indicates an increasing trend with 5% of national polls in 2016 being conducted by interactive voice response (IVR) systems or "robo-polls." This technology can significantly reduce the margin of error and lower the potential for bias as it eliminates the personal element in the polling process.
Autonomous Robots for Ground Data Collection: Autonomous robots are being leveraged for ground data collection, providing a more in-depth analysis and understanding of the focus group or market. Implementing autonomous bots can lead to a 70% reduction in the time taken for data collection, and it also reduces the chances of human error, claims a report by the McKinsey Global Institute.
Key Takeaways:
- Automation and robotics could potentially revolutionize marketing research and public opinion polling by increasing efficiency and reducing bias.
- About 30% of marketing tasks could potentially be automated using existing technologies.
- Autonomous robots can reduce data collection times by approximately 70% while minimizing human error.
- Approximately 5% of national polls in 2016 were conducted by robotic "robo-polls," indicating the acceptance of this technology in the public opinion polling arena.
3Laws Robotics is developing ground-breaking software designed to heighten safety and reliability for robotic systems:
- A main focal point for 3Laws is addressing the challenge of certification - a critical pain point for companies in the robotics field.
- 3Laws Supervisor, the company's leading-edge software, aims to streamline this process by offering robust safety features and evidence of system reliability, thus potentially easing the certification path.
- The software is constructed on Control Barrier Functions (CBFs), a technology conceived at Caltech that asserts to provide mathematically provable safety.
- 3Laws provides a variety of use cases for its innovative technology, across diverse industries and applications, including warehouse automation, human-robot interaction, and dynamic environments.
- Coupled with the ability to enhance operational efficiency, 3Laws aims to revolutionize safety in the robotics world by highly reducing downtime caused by unnecessary e-stops or collisions.
- Offering real-time safety measures for autonomy stacks, 3Laws gives robots the freedom to work closer to their peak capabilities while still ensuring safety.
- 3Laws' software is versatile and compatible with a broad spectrum of platforms including mobile robots, cars, drones, and manipulators.
- These developments position 3Laws as a ground-breaking solution in safety that surpasses traditional e-stop methods, offering a proactive, dynamic and predictive approach to safety. The technology can be safety certified for ISO 3691-4 and ISO 26262, truly unlocking the potential of robotics.