Business, Big Data, and Decision Sciences

Data is the crown jewels of an organization. It empowers companies to make informed business decisions, improve operations, reduce costs and increase revenue. Organizations are increasingly adopting DataOps to get full visibility and control of their data pipeline, boost efficiency and quality of data, fuel digital transformation initiatives and maximize business value. At DataOps Day, we’ll take a deep dive into the world of data and DataOps. Join us to hear from data and business leaders who have adopted DataOps to achieve their goals for quality, security and speed.

Big Data LDN (London) is the UK’s leading free to attend data, analytics & AI conference and exhibition, hosting leading data, analytics & AI experts, ready to arm you with the tools to deliver your most effective data-driven strategy. Discuss your business requirements with over 180 leading technology vendors and consultants. Hear from 300 expert speakers in 15 technical and business-led conference theatres, with real-world use-cases and panel debates. Network with your peers and view the latest product launches & demos. Big Data LDN attendees have access to free on-site data consultancy and interactive evening community meetups.

The Analytics Summit was created in 2013 by the Greater Nashville Technology Council (NTC) members. With over 500% growth since inception, the Summit continues to expand as one of Nashville's largest, locally grown tech events in the region. Hosted by the NTC, the Analytics Summit focuses on fundamental issues in organizations today: how to effectively leverage big data and analytics. This two-day event alternates between hands-on workshops and speaker presentations, presented by experts from various industries and backgrounds.

World Conference on Data Science & Statistics (Data Science Week 2023) slated in Frankfurt from 26th to 28th June, 2023 with the theme “Understanding the Data Science: Can help now and in the Future”. Data Science Week 2023 will provide a universally unique forum for extant work that develops computational methods, statistical, and mathematical in the field of data sciences.