Presented by: Ashek Mahmood; Lead Partner, Data, AI & Analytics, Edge IoT, Automation, Blockchain, IBM
Organizations want real-time and trusted data to support their critical business operations and generated AI powered insights. In this session, we will discuss how IBM is helping clients with their digital transformation initiatives with the power of data & AI providing tangible business outcomes. We will discuss Canadian client case studies on how we are transforming legacy data systems into modern Hybrid Cloud Data Fabrics and embed ethical principles into AI applications to build systems based on trust and transparency.
Ashek is leading IBM Consulting Practices focusing on emerging technology led business transformation such as Data, AI & Analytics, IoT Edge, Automation, and Blockchain. He has founded practices from ground up to 100+ consultants, triple digit annual revenue growth ($50-100M / year) and implemented first-of-a-kind digital transformation at scales across Industrial, Transportation, Financial Services, and Public sector domains. Ashek is recipient for 3 patents in the area of AI Computer Vision, 3D Object Detection, and Industrial IoT Operations. He is an advisory council member for multiple global tech startups and innovation incubators with utmost passion for future skills, inclusive culture, and ecosystem development.
Registration for the IMI BIGDataAIHUB Seminar Series is open to anyone that would like to attend. No prior knowledge is required.
To register for the event, visit the official registration page.
The IMI BIGDataAIHUB Seminar Series covers a range of topics related to big data and artificial intelligence. Students, staff, faculty, alumni and members of the broader community are welcome!
Seminars are offered from November until March and can be found listed below. Seminars are typically offered remotely via Zoom. Occasional sessions may be offered in person. See the full schedule for the Seminar Series here.
Students will have their participation added to their Co-Curricular Record (CCR).