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The California Department of Technology has partnered with Gartner to better prepare incoming department-level CIOs for the job ahead of them. The inaugural run of the invitation-only program will host 25 IT leaders from 24 departments.
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“Prashant will be a great addition to our team,” DMV Director Steve Gordon told Techwire. “He brings the right mix of skill and leadership to help us meet our modernization goals.”
The California Department of Food and Agriculture is seeking to replace an outdated system with one solution that better meets the varied needs of its Emerging Threats project.
Four technology leaders in California state and local government are among Government Technology magazine’s Top 25 Doers, Dreamers & Drivers for 2022.
“Our goal is to migrate all ca.gov sites to this more robust, scalable platform that will accommodate our future needs,” writes Blaine Wasylkiw, California’s chief web officer.
As part of Techwire’s ongoing efforts to educate readers on state agencies, their IT plans and initiatives, here’s the latest in our periodic series of interviews with departmental IT leaders.
The State Controller’s Office is seeking vendors to propose solutions for the sweeping project, with a contract term of four years and five optional one-year add-ons.
The California Department of Motor Vehicles made more than a dozen purchases of IT goods and services last month, and its most expensive buys reveal technology updates, data work and compliance with recent legislation.
After a nationwide search for a new chief information officer, San Jose has hired Khaled Tawfik. He’ll take over for Rob Lloyd, who was elevated to deputy city manager in December.
California counties and cities that rely on tourism are crediting a San Diego startup with crafting an elegant solution that helps them recoup lost tax revenue.
“With so many government teams looking to create digital, customer-centric experiences, it seems like the perfect time to officially combine forces,” said Kyle Keyser, vice president of the new Launch Government.
The IT leader at one of California’s farthest-flung counties has joined a technology stalwart that does considerable work with the public sector.
John Ohanian is the chief data officer and director of the Center for Data Insights and Innovation, part of the California Health and Human Services Agency.
“With the state’s desire to be transparent and share data internally and with other departments and agencies, I felt it was a great opportunity to be a part of the transformation process,” tech veteran Scott Reilly told Techwire.
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In a request for quotation, the California Secretary of State’s Office is seeking “risk-limiting audit support to perform county training, assistance and support” for the state’s 58 counties.
The entity is seeking a vendor that can supply solutions in the following areas: “Cross-functional, service desk, end-user and distributed computing, application management, enterprise compute, data network management, information security, transition, governance and performance management.”
Both positions are with entities within the California Health and Human Services Agency — one in the Office of Systems Integration, and the other in the Department of Child Support Services.
A budget change proposal and a job recruitment show that the California Department of State Hospitals plans significant advancements in data and electronic health records, with new initiatives and several hires in the works.
Steve Monaghan, the veteran chief information officer for Nevada County, has published the fourth in a series of six essays for Rural County Representatives of California, a 39-member service organization that advocates for policies on behalf of rural counties.
Three departments in Placer County government are recruiting for positions including IT manager, senior IT analyst and business systems analyst.
As part of Techwire’s ongoing efforts to educate readers on state agencies, their IT plans and initiatives, here’s the latest in our periodic series of interviews with departmental IT leaders.
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Technological innovation in artificial intelligence has shifted. For the better part of a decade, AI operated within tightly bounded constraints: classifying images, generating text, and using these capabilities to surface recommendations. While these systems were powerful, they were fundamentally passive. They needed to receive a prompt in order to return a result. Once the result was achieved, the system stopped.
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