Organizations are getting value with artificial intelligence. It all starts with properly managing data and technology complexity.
Businesses across nearly every industry are adopting AI to stay competitive, drive growth, and decrease expenses. Whether to power self-driving vehicles, genomic medicine, chatbots, or predictive maintenance, the success of AI is completely dependent on access to large amounts of data that can be used to identify patterns, develop predictive insights, and enable increasingly accurate autonomous systems. But this data can be anywhere, is inherently dynamic, and often in multiple forms. Data silos and technology complexity are the two biggest challenges to moving AI projects into production. They need to move quickly without the limitation of where data exists. In this round table, we’ll hear from industry experts, technologists and from the broader community on how businesses are managing data to drive REAL value from AI.
Nirvana is a thought leader, pioneer, author, keynote speaker, and recognized global influencer in the Regulatory Technology (RegTech) sector, but most of all she is a teacher and advocate for humane ethical technology and ensuring that we embed compliance by design at the development stage of technology to mitigate risk.
She spent 20 years on “the dark side” AKA in Financial Services. In senior legal, compliance, operations and risk expert roles working across multiple sectors, regulations, and jurisdictions. She has served as a lead regulatory expert to global regulatory bodies, and institutions, for Regulatory Technology, as well as financial services regulations. She has advised, trained, and held workshops for major global banks and financial institutions on various regulatory requirements.
Hoseb joined NetApp in 2014. In his current role, he is responsible of leading NetApp’s AI and Digital Transformation business globally. Hoseb heads a global team focused on helping customers build the right platform for their data driven business strategies. As part of his role, Hoseb is also focused on developing NetApp’s AI channel business by recruiting and enabling the right AI ecosystem partners and enabling Go-To-Market strategies with those partners. Hoseb is coming from a technical background. In his previous role, He was the Consulting System Engineer for NetApp’s video surveillance and big data analytics solutions.
Hoseb holds a Masters degree with distinction in Electrical and Computer Engineering from the American University of Beirut.
Motivated by curiosity and relationships, Barsha is a passionate Data Solutions Engineer at NetApp, a role she has held for over a year. With previous experience at Nokia, Equinix and Akamai, Barsha is a skilled problem solver, engineering expert and STEM Advocate.