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UID:datatlv.com
DTSTAMP:20260426T112233Z
DTSTART;VALUE=DATE:20260528
DTEND;VALUE=DATE:20260529
SUMMARY:The Biggest Israel Annual Non-Profit Data Summit
DESCRIPTION:### Overview\nThe Data TLV community invites you to The Biggest Israel Annual Non-Profit Data Summit. This event appears to be focused on data professionals across the data domain\, including data engineers\, DBAs\, data analysts\, and data scientists. The page highlights a gathering centered on AI\, the latest data trends\, and the tools transforming the data universe. The agenda emphasizes both sessions and social aspects\, signaling opportunities for networking\, learning\, and collaboration in a friendly\, data-driven setting. The page conveys a sense of community with a willingness to celebrate data work and to engage attendees in conversations about the future of data in Israel and beyond. \n\n### When and Where\nWHEN: November 26th\, 2026. WHERE: Cinema City\, Rishon LeTsion\, Israel. The venue appears to be a conference space with multiple halls and tracks. The content emphasizes that this is a one-day summit with various activities\, sessions\, and opportunities to connect with fellow data professionals.\n\n### Agenda and Format\nOur Agenda is a central feature of the page\, presented as a focal point for attendees to explore tracks and sessions. The site also presents sections dedicated to speakers\, sessions\, and sponsorship opportunities\, indicating a conference format that combines talks\, demonstrations\, and sponsor showcases. The event is described in a way that suggests a mix of keynote-style content and parallel tracks\, allowing attendees to choose sessions relevant to their interests. While specific session titles and times are not enumerated on the page\, the emphasis on data topics\, AI\, analytics\, and data tools points to a program designed for practical\, career-oriented learning.\n\n### Speakers and Program Details\nThe Meet the Team section provides a lineup of speakers who appear to be prominent figures in the data space and related fields. Notable entries include Itai Binyamin (Data TLV Founder\; Sr. Sales Specialist at AWS) and Maria Zakourdaev (Data TLV Founder\; Data Architect). Other listed participants include Xenia Tarnavsky (Data Ops/Payoneer)\, Maxim Shatzki (Data Scientist\, ML Engineer)\, and several other data professionals with titles such as Data Engineer\, Data Scientist\, and Senior Cloud Solutions Architect at Microsoft. These bios indicate a diverse set of perspectives spanning data engineering\, data science\, analytics\, and data operations.\n\n### Audience and Sponsorship\nThe page outlines a Summit audience of 1000+ attendees\, labeled as Attendees\, with a focus on those who work with data. Sponsorship is highlighted\, with multiple logos shown for industry players. The presence of sponsors suggests a conference model where vendors and communities support the event and provide demonstrations or branded experiences. The event appears to welcome data enthusiasts and professionals seeking to network\, learn\, and engage with the broader data community in Israel.\n\n### FAQ and Extras\nThe content includes references to cocktail hours and raffles\, implying a social\, celebratory atmosphere alongside educational sessions. It also points to a community-oriented approach\, with a focus on collaboration and partnerships within data communities in Israel. The page features team bios and contact emails for speakers or organizers\, reflecting a professional\, approachable team ready to engage with attendees. Overall\, this summit presents itself as a comprehensive\, data-centered event aimed at knowledge sharing\, networking\, and community building for data professionals in Israel.\n\n### Who should attend\nThis event is described as suited for Data Wizards\, Python Ninjas\, Spreadsheet Sorcerers\, data engineers\, DBAs\, data analysts\, data scientists\, and anyone else who wants to deepen their data knowledge\, learn about AI and trends\, and connect with peers and sponsors in a one-day summit setting.\n\nhttps://datatlv.com?ref=ainave
LOCATION:Tel Aviv\, Israel\, IL
URL;VALUE=URI:https://datatlv.com?ref=ainave
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