Velocity Data and Analytics Summit - KSA Edition
Date(s): September 28, 2022 - September 29, 2022
Time: 9:45 AM UTC - 2:30 PM UTC
Accelerating Digital Transformation with Data
Usage of Data Analytics and Artificial Intelligence in Saudi Arabia is growing exponentially, and by 2026, it is expected to be worth around $891.74 million. With the rapid global technology development, Saudi Arabia is keen in setting a digital agenda for the Kingdom. Guided by Vision 2030, the country is rolling out ambitious plans and initiatives. The use of data can evolve to become one of the fundamental enablers of driving Saudi Arabia’s digital economy and broader Vision 2030 agenda. As businesses face unprecedented challenges, there is a great emphasis on making the most of their key asset - Data.
How can data analytics accelerate digital transformation across the region?
Against this backdrop, Datatechvibe is proud to announce Velocity – Data & Analytics Summit, a Saudi Arabia Edition, on 28th - 29th September 2022 presented by Datatechvibe, the region's most influential community of technology leaders.
This summit aims to discuss through the latest trends and challenges, help the business in the region to identify reliable solutions to embrace data analytics and improve its decision-making process, increase accountability, Velocity is Saudi Arabia's largest data and analytics summit presented by Datatechvibe, the region's most influential community of technology leaders. Join hundreds of experts as we lead the discussion on Data analytics and AI!
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Link To This Event
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SEMANTIC LAYER SUMMIT 2022
Date(s): September 28, 2022
Time: 10:30 AM EST - 5:30 PM EST
Featuring 30+ Enterprise Data Leaders & Top Industry Technologists
Join us for a FREE one-day virtual event where we’ll explore the importance & impact of using a semantic layer for data & analytics. Hear from top data leaders, technologists, & industry experts on how to deliver actionable insights for everyone in your organization.
Who should join
AI, BI, and Data leaders (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals).