Daryl Williams

Daryl Williams leads the IBM State of Texas Public Sector Team. He is an IBM Certified Public Sector Executive with knowledge in State Government, Local Government, Higher Education, K-12 Education, Healthcare, and Public Utilities.

Mr. Williams has tremendous experience in bringing innovation to the Public Sector. New Digital technology is bringing unprecedented change as well as opportunity for all Public-Sector organizations. Cloud, Artificial Intelligence, Big Data Analytics, and Mobile technologies can be transformative to every area of Local government. Mr. Williams brought the first commercial use of IBM’s Artificial Intelligence solution (IBM Watson) to the state (Healthcare) and is actively involved in leveraging Cloud solutions for Departmental Business use.

Additionally, Mr. Williams continues to focus on developing innovative Smarter Cities solutions that are replicable within the Local Government community. IBM developed many of the original Smarter Cities terms and definitions over a decade ago. Evolving the original set of solutions from Transportation and Emergency Management to self-funding capabilities that deliver greater efficiency along with improved citizen services is the current focus for IBM and Mr. Williams’ Texas focus.

IBM’s capabilities within Texas are extensive. The IBM Cloud (Softlayer) is headquarted in Dallas, with over 8 Data Centers located within the Dallas – Fort Worth area. Research in Texas is also very extensive – with IBM’s Austin Research Lab contributing more patents to IBM’s portfolio than any other Lab (IBM is the U.S. patent leader for 13 years in a row – a strong measure of innovation capability). Mr. Williams leads the effort to bring these capabilities to State of Texas Public Sector clients, with Smarter Cities Solutions as the Innovation intersection between Cloud, Analytics, Artificial Intelligence, and Local Government Lines of Business – including Water Utilities.

Technical Specialist, San Jose – Santa Clara Regional Wastewater Facility Risk‐Based Condition Assessment Plan, San Jose, California. Dr. Habibian oversaw the development of a Risk Analysis Framework to define and evaluate the various mechanisms influencing the yard piping risk of failure. A GIS‐based Asset Prioritization Tool (APT) was developed to automate the risk analysis process and manage the individual scoring and weighting factors for each risk factor/category, perform the risk analysis calculations, and deliver results back to the RWF in a GIS‐based user interface. Additionally, a Condition Assessment Protocol was developed to provide the RWF with guidelines on data collection criteria, inspection technology selection, timeframe for condition assessments, residual life estimates, and preparations for condition assessments.