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Assaf Resnick is a visionary entrepreneur and technology leader, best known as the Co-founder and CEO of BigPanda. With a career spanning over two decades, he has deep expertise in enterprise software, venture capital, and AI-driven IT operations. Before founding BigPanda, Assaf was an investor at Sequoia Capital, where he focused on enterprise technology investments. His foundational experience was forged as an officer in the Israeli Defense Forces' (IDF) elite 'Mamram' intelligence and computing unit, leading large-scale, mission-critical R&D projects. This background provided him with a unique perspective on the challenges of managing complex IT systems at scale, which directly inspired the creation of BigPanda. As CEO, he has successfully guided the company to become a leader in the AIOps (AI for IT Operations) space, helping global enterprises automate incident management and maintain digital service availability.
Assaf Resnick's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded BigPanda in 2012, identifying a critical gap in the market for an AI-powered platform to help IT Operations teams manage and resolve incidents. He has since led its growth into a major industry player.
Successfully steered the company through major funding rounds, including a $190 million Series D round that pushed its valuation to $1.2 billion, establishing BigPanda as a dominant force and 'unicorn' in the AIOps market.
Named one of 'The Top 25 Cloud Executives of 2021' by The Cloud Report, acknowledging his leadership and significant impact on the advancement of cloud-native technologies and AIOps.
Served as an officer in the Israeli Defense Forces' (IDF) prestigious Mamram unit, where he led complex, large-scale R&D projects, gaining invaluable experience in data analysis and mission-critical systems that shaped his entrepreneurial vision.
University of California, Berkeley - Walter A. Haas School of Business
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BigPanda is an AIOps (Artificial Intelligence for IT Operations) platform designed to help enterprise IT Operations, NOC, and DevOps teams manage and resolve incidents more efficiently. The platform ingests and analyzes vast amounts of data from various monitoring, change, and topology tools. Using machine learning, it correlates noisy alerts into a smaller number of high-level, actionable incidents. For end-users, this means significantly less alert fatigue, a clearer picture of IT service health, and faster root cause analysis, ultimately reducing system downtime and improving Mean Time To Resolution (MTTR).
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