Overcoming Barriers to Adopting AI
According to Gartner, Artificial Intelligence (AI) adoption in organizations has tripled in the past year, and AI is a top priority for many CIOs. Yet early AI initiatives have a high probability of failure due to misalignment of business and technology. Some of these include identifying the right business case, having the right specialist that can marry the clarity of business problems and technologies, the complexity of the tools, the quality of data and the infrastructure to support these initiatives.
In this session, we shall discuss these and other barriers and hear from various other government attendees as to their successes and lessons learned in the adoption of AI.
VP Software Engineering
As eSystems’ Vice President Software Engineering, Sam Hua leads eSystems’ Asset Development practice. He manages people, processes and assets, from ideation and requirements management, to architecture and design, development, test, and deployment. With over 30 years of software engineering experience, Mr. Hua is an expert in cloud application architecture, AI engineering, enterprise architecture, enterprise systems integration and modernization.
Mr. Hua is IBM SOA-certified and earned his bachelor’s degree in Electrical Engineering from Case Western Reserve University, graduating summa cum laude