PlanetiQ
Ira Scharf has a diverse work experience in the technology and weather industries. Ira is currently the CEO of PlanetiQ, a company that provides high-quality environmental data products for weather forecasting and climate monitoring. Prior to PlanetiQ, they served as the Chief Strategy Officer at Concirrus, where they helped insurance organizations leverage AI, digital distribution, and IoT. Ira also founded and served as the CEO of Spark Insights, an AI and machine learning company focused on delivering decision analytics to the insurance industry. Ira has also held various leadership roles at Tomorrow.io, BitSight Technologies, Panasonic Weather Solutions, and The Weather Company, an IBM Business. Throughout their career, they have demonstrated a strong ability to drive growth, create new products, and build successful teams in the technology and weather sectors.
Ira Scharf has a diverse education history. Ira attended Stuyvesant High School in New York City, where they completed their high school education. Following that, they pursued a Bachelor of Science (BS) degree in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). After completing their undergraduate studies, they furthered their education at MIT and obtained a Master of Science (MS) degree in Electrical Engineering and Computer Science. Later on, Ira attended Harvard Business School, where they obtained a Master of Business Administration (MBA) degree. The field of study for their MBA degree is not provided in the chronological information.
This person is not in any teams
This person is not in any offices
PlanetiQ
1 followers
PlanetIQ utilizes commercial satellite constellations to provide weather data for on-the-ground decision-making. The costs of natural disasters are soaring as extreme weather increases and the population expands, putting more and more lives and property at risk. Meanwhile, smarter and more powerful weather and climate models are hungry for thedata they need to produce more precise forecasts on time scales ranging from hourly to decadal.Yet the traditional model for government-funded satellite programs has not kept up with today’s technology and the rising demand for data. Aging spacecraft, budget constraints, and schedule delays threaten critical gaps in data crucial to monitoring and predicting day-to-day weather, hurricanes and winter storms, floods and drought, space weather, and climate change.