This year, Ezako had the honor to be featured at the IBC. Our new predictive algorithm has impressed during the IBC exhibition and was granted a recognition by its peers: The Future Business Opportunity award.
The Senior Vice President of Tata Elxsi, Nitin Pai, cast his marketing and strategic eye over the imposing array of companies, products, and solutions to finally let Ezako be awarded the “What Caught My Eye: Future business opportunities” recognition.
Ezako’s predictive algorithm is able to predict failures before they even happen. Our patent pending technology is adjustable for customer premise equipment and set-top boxes.
Today, our goal is to adapt our algorithm to eradicate equipment outages from our daily life. Proactive actions will in the future replace usual maintenance programs.
Moreover, the real cost of downtime should not be taken lightly:
– For the Fortune 1000 companies, the average total cost of unplanned application downtime per year is $1.25 billion to $2.5 billion.
– The average hourly cost of an infrastructure failure is $100,000 per hour.
– The average cost of a critical application failure per hour is $500,000 to $1 million
The cost of downtime is important. Predictive maintenance can make companies save billions of dollars each year. Our vision is to create a new world where failures and outages will not exist anymore.