CIO Bulletin

Accelerate enterprise value generation with innovative computer vision strategies and deep learning expertise: Plainsight

Plainsight’s platform for turn-key vision AI illuminates the information your business cares about. Plainsight’s platform makes computer vision insights actionable for enterprise-ready solutions. The company expedites collaboration across your organization by giving entire teams, including business users, streamlined, straightforward ways to create and consume AI. For businesses across industries, the ability to quickly and easily build, manage, and operationalize computer vision solutions powers automated processes, risk mitigation, enhanced product portfolios, and increased revenue opportunities. Simply put, your most valuable business information is now visible in plain sight.

Plainsight’s team is ushering restaurants into an era of digital transformation with solutions for drive-thru monitoring, order accuracy assessment, and more. Though the conversation around emerging solutions can have a fearful tone, effectively deployed computer vision augments the workforce rather than replacing it. Transformational in its benefits, computer vision shows how AI is capable of empowering workers and evolving jobs to boost employee satisfaction.

Getting the Most from Vision AI

An insufficient emphasis on transparency has contributed to both misgivings about AI’s increasing capabilities and the fact that a majority or organizations are still seeing disappointing results. In their latest State of AI in the Enterprise report, Deloitte found that while the number of organizations who had successfully deployed several AI solutions had increased, the number of self-reported “underachievers” had increased since 2021 as well.

Adoption rates and overall results both improve when leaders make an effort to establish an AI-ready culture within their enterprises before committing to projects. What does an AI-ready culture look like? Deloitte notes that such a culture is defined by trust, transparency, open lines of communication, and thorough education on both how to leverage AI-powered solutions and how these solutions make life easier.

This type of education, an emphasis on the how and why of computer vision initiatives, is generally lacking within enterprises. Just 21% of survey respondents reported taking the time to instruct their teams on how to deploy AI most effectively and only around a third reported including end users in the process of designing solutions. These measures can go a long way in addressing AI-centric fears, improving implementation rates, and accelerating proof of value.

Restaurant Use Cases

Automated food quantity measurement is just a taste of how computer vision is transforming day-to-day operations for restaurants and their employees. From Quick Service Restaurants, to Fast Casuals, to fine dining establishments, the industry is seeing the value of vision AI:

Drive-thru monitoring and performance management: How long will customers wait before they abandon their orders? What times see the most drive-thru traffic? Models for monitoring and managing drive-thrus offer these insights and more, helping restaurants make the most of high demand and continually redefine service excellence.
Healthy and safety monitoring: Personal protective equipment and safety regulations help keep your restaurants productive, orderly, and clean. Plainsight’s custom-built models enforce health and safety standards round the clock with automated alerts and an unblinking eye.
Order quality and accuracy assurance: Hungry customers expect a dependable product every time. Models for monitoring kitchen activity help ensure every item is prepared quickly and meets precise quality specifications.

Human-Centric Computer Vision in Agriculture

For as long as artificial intelligence has existed as a concept, there have been fears about its capacity to surpass human capabilities and ultimately supplant humans altogether. Excitement over popular new generative solutions like, Chat-GPT, DALL-E 2 and Lensa’s Magic Avatar feature, for example, is tempered not only with privacy and copyright concerns, but protests from writers, artists, and all types of creators as well.

There’s no doubt the world is changing. The World Economic Forum estimates that AI will replace 85 million jobs by 2025. Focusing on that statistic would make anyone uneasy, but it only tells part of the story. In the same report, experts predict AI to create even more jobs over that same period – 97 million. Despite the misconceptions and alarmist headlines, new technologies should contribute to a surge in jobs by raising demand for new and evolving skill sets.

The enterprises who realize the potential of transformative solutions like computer vision and experience digital transformations will be those who recognize AI’s potential to augment their teams and take a human-centric approach. They’ll include end users as collaborators throughout the solution lifecycle, place an emphasis on trust and transparency, and identify opportunities to boost their team’s potential rather than just automating away manual processes or reducing headcount. Ultimately, they’ll arm their teams with solutions that are optimized to improve their decision making, address their most persistent challenges, and make the most of everything they bring to their jobs.

Meet the leader behind the success of Plainsight

Carlos Anchia, Co-Founder & Chief Executive Officer brings vast technical leadership experience to Plainsight with a proven track record in creating new business value and driving long-term customer success. While aligning cutting-edge technology solutions with current and emergent business needs, Carlos builds and maintains effective business relationships with high-profile industry partners, cross-organizational teams and his staff. Prior to joining Plainsight, Carlos built and released a global IoT platform at Insteon where he developed deep partnerships with Microsoft, Google, Apple, and Amazon. The successful launch comprised a number of industry firsts in Mobile and Web experiences for the Smart Home. Previously, Carlos drove technical excellence across a large multi-discipline software team at Distillery. As the CTO for CURAGO, he was responsible for all technical facets of the business, as well as formation and mentorship of strong development teams. Carlos is committed to helping Enterprise customers by providing technical guidance for solving the complexities of complete Data Lifecycle Management at scale.