247 Labs announces sponsorship deal with Big Data & Analytics Summit in Toronto as Bronze Sponsor

 

Toronto, February 5, 2018 – 247 Labs, developer of web and mobile applications, and digital transformation solutions, announced today it will be a bronze sponsor of the 4th Annual Big Data & Analytics Summit Canada (www.bigdatasummitcanada.com). The summit will be held February 7-8, 2018 at the Toronto Marriott Downtown Eaton Centre. 247 Labs will be in booth #8.

 

The 4th Annual Big Data & Analytics Summit Canada will allow industry leaders to stay on top of emerging trends and developments and to source proven strategies from key North American big data players. With two days of networking, and keynote speakers sharing insights and best practices on monetizing big data, attendees will include data scientists, business intelligence analysts, consultants and other industry stakeholders.

 

“We are thrilled to take part in this year’s Big Data Canada Summit,” said Azwar Khalid, CTO, 247 Labs, “and are looking forward to the chance to meet business leaders who are like-minded and want to stay ahead in this rapidly changing field. The opportunity to engage with businesses and organizations of all sizes is exciting, as we also look forward to building partnerships with subject matter experts.”

 

“Big data and analytics has become a must-have for competitive, efficient organizations in 2018.” Said Khalid. “We are proud to take part in something that is poised to revolutionize industries and companies that want to maintain a competitive advantage and can’t afford not to be on top of big data, AI and machine learning trends.”

 

As the Big Data & Analytics Summit bronze sponsor, 247 Labs looks forward to learning leading strategies to empower customers. The summit will present case studies on how to improve business processes, drive revenues and improve customer loyalty with big data and analytics. 247 Labs is looking forward to coming back with the right tools to help its private and public sector clients become data-driven organizations.

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