Geminare, a leader in delivering data curation, resiliency and IT orchestration solutions, announced today the availability of mezzanine.ai as a standalone platform. Mezzanine.ai facilitates impactful, curated business outcomes through the use of readily available pre-trained machine learning models from key industry AI leaders including Google Cloud, IBM Watson, AWS and Microsoft Azure.
Mezzanine.ai is a new approach for businesses looking to engage with machine learning. It empowers your data to be seamlessly and securely evaluated through multiple pre-trained machine learning models through a sophisticated, wizard-driven, orchestration and automation platform. Mezzanine.ai delivers on the promise of bringing AI and machine learning capabilities directly to businesses, with absolutely no need for in-house AI or machine learning knowledge, specialized technology or data scientists. By leveraging a multiplicity of machine learning models simultaneously, the detail and volume of data insights increase exponentially. Through its comprehensive application integration library, mezzanine.ai’s underlying patented platform establishes secure synchronizations between business applications and data, whether hosted or on-premises, allowing companies to instantly leverage the power of machine learning.
Joshua Geist, Geminare’s CEO, commented, “Machine learning is a transformational force for businesses, but like so many other technologies before it, access is limited to those with significant budgets and expert knowhow. Mezzanine.ai changes that by enabling businesses to access whichever models are best suited for their needs from the platforms of their choice, whether it’s just a single pre-trained model or all of them at the same time. With mezzanine.ai, businesses can test and evaluate the results of their data as it’s run through pre-trained ML models, almost instantaneously. Results with customers such as MovieComm have been outstanding and exactly what we had hoped for when launching mezzanine.ai – immediate access to machine learning – quickly and easily.”
Customer Case Study: Mezzanine.ai powers MovieComm’s exponential growth in data capture and analytics within the media and entertainment industry.
MovieComm helps thought leaders inspire and engage others by using Hollywood movie clips to make communications come alive. Customers work with MovieComm to obtain clips with specific references or themes for projects ranging from embedding high-value content into multiple communications platforms including: internal communications platforms, presentations, email and text messages. With a published goal of over 1,000,000 documented clips to provide to the market, leveraging the power of AI and machine learning was a clear necessity and represented a potentially big win for MovieComm. However, the required machine learning models were dispersed across different vendor platforms including Amazon Rekognition, Google Video Intelligence and Microsoft Media Services, creating a barrier to entry for MovieComm – one that mezzanine.ai was able to resolve with ease.
Through mezzanine.ai, multiple machine learning models were used in parallel to extract data from movie clips. Insights gleaned include Sentiment, Unsafe Content, Objects, and Celebrity Recognition – items that customers use in their searches for the ideal clip, as well as audio transcripts allowing for translation and specific search terms. Machine learning models were orchestrated to be leveraged in sequence in order to gain the most insight from the tools available. Extracted data was then automatically populated back into the MovieComm platform.
“All machine learning models are not created equal,” Scott DiGiammarino, CEO of MovieComm stated. “Using mezzanine.ai and its machine learning orchestration opened up new insight into our data and has been a game-changer for us. MovieComm is now able to deliver a vastly superior end-user experience, and fully leverage the value of our films’ assets. Overnight, we’ve gone from a usable database of tens of thousands of searchable items to millions, and from a cataloging time of weeks to just minutes. Our experience with mezzanine.ai capabilities has been invaluable.”