3 Ways Visual AI Transforms Near-Miss Reporting -- Occupational Health & Safety

3 Ways Visual AI Transforms Near-Miss Reporting

Date: Wednesday June 5, 2024 at 2:00pm ET - 1:00pm CT - 11:00am PT

Workplace safety has always been a top concern in every industry, affecting the well-being of employees and overall productivity and profitability. Near-miss reporting plays a critical role in workplace safety. This involves documentation and analysis of incidents that had the potential to cause harm but did not lead to an injury. Traditionally, this process has been manual, which leads to underreporting and delayed responses.

Integrating AI into this domain revolutionizes reporting and managing near-miss incidents. AI-driven systems enhance reporting accuracy, efficiency, and timeliness, turning these incidents into valuable learning opportunities and preventing future accidents. With AI, companies can transition from a reactive approach to a proactive and preventive safety strategy.

This transition to AI-enhanced reporting marks a significant improvement in workplace safety management, making work environments safer, more compliant with safety standards, and more productive.

Register today to learn how AI is transforming near-miss reporting.

What you’ll learn:

The critical role near-miss reporting plays in improving industrial workplace safety.
How to overcome the challenges of collecting accurate near-miss and/or unsafe conditions data.
How Visual AI technology can be applied to standard surveillance camera networks to automate and contextualize near-miss reporting.
See Visual AI in action with real-life examples.
The benefits of scaling Visual AI solutions to detect unsafe conditions and near-misses and transform safety programs across enterprise environments.

Speakers:

Jodie Sasse
Vice President of Visual AI Advisor
SparkCognition

Jodie Sasse is an accomplished leader and advisor to companies seeking innovative software solutions to their most critical business problems. Throughout her 20+ year career in the technology industry, she has developed a passion for helping companies unlock growth, optimize performance, and realize return on their technology investments.

As SparkCognition’s Vice President of Visual AI Advisor, she drives the outcomes for clients with challenges of safety, security, productivity, inspection, and situational awareness. Before joining SparkCognition, Sasse held various roles at Twilio, Equals3 AI, IBM, and IBM Watson. She has a BS in Finance and Economics from Syracuse University and an MBA from Suffolk University.

Kunal Arora
AI Solutions Architect
SparkCognition

Kunal Arora is an AI Solutions Architect with SparkCognition, where he leverages his extensive expertise in machine learning and software engineering to drive innovative solutions. With a rich background as a Computer Vision Scientist and Software Engineer, Kunal has dedicated most of his career to advancing technology in the energy industry. At SparkCognition, he employs his comprehensive expertise to develop innovative solutions that enhance operational efficiencies and sustainability, helping organizations navigate the complex landscape of digital transformation.

Duration: 1 Hour

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