Government Innovation Georgia

Georgia’s Enterprise IT Strategic Vision 2030 sets a statewide direction for modern digital services through coordinated investment in cybersecurity, data, artificial intelligence, platform services, and broadband. This session will translate that long-term vision into the priorities, decisions, and opportunities expected in 2027 so you can align your agency’s plans with Georgia’s next phase of enterprise transformation.

• Clarify the milestones and enterprise priorities Georgia will advance in 2027 on the path to 2030.
• Align agency technology roadmaps, investments, and governance with the statewide vision.
• Strengthen collaboration across cybersecurity, data, AI, shared platforms, and broadband initiatives.
• Prepare your workforce, operating models, and partnerships for emerging technology and service expectations.
• Measure progress through improved resilience, informed decision-making, seamless services, and public value.

This session will explore how agencies can move from disconnected systems and isolated automation projects toward secure, scalable services that reduce administrative burden while protecting human judgment, sensitive data, and public trust.

• Identify high-friction processes where automation can reduce delays and repetitive work.
• Connect systems, data, and service channels to create simpler experiences for residents and employees.
• Scale AI and automation with strong governance, security, human oversight, and workforce preparation.

Georgia’s approach to AI continues to evolve as agencies move from early exploration toward coordinated, responsible adoption. This session will provide a strategic look at the state’s direction for 2027, including upcoming initiatives and priorities that were not presented at this year’s event, so you can prepare your organization for what comes next.

• Understand Georgia’s statewide AI priorities and emerging initiatives for 2027.
• Clarify how governance, oversight, and agency responsibilities will support responsible adoption.
• Identify opportunities for agencies to participate in future initiatives, pilots, and shared learning.
• Prepare your workforce, data, security, and leadership structures for the next phase of AI adoption.

AI, cloud migration, automation, and legacy modernization are changing how government work is delivered and the skills employees need to succeed. This session will bring together technology, education, and workforce leaders so you can prepare employees for changing roles, strengthen digital capability, and support adoption throughout long-term transformation.

• Identify the technical, operational, and leadership capabilities agencies need across AI, cloud, data, cybersecurity, and modern digital services.
• Align workforce planning and training with modernization priorities and upcoming technology investments.
• Build inclusive reskilling and upskilling pathways for employees with different roles and levels of digital experience.
• Support employees through changing processes, responsibilities, and expectations during transformation.
• Connect government, education, and workforce development partners to create sustainable talent pipelines.

Modernizing legacy systems requires more than selecting a platform or moving applications to the cloud. This session will examine how agencies can govern complex transformation, manage long-term costs, migrate data responsibly, strengthen internal capacity, oversee vendors, and maintain essential services throughout implementation and cutover.

• Establish project governance, ownership, and decision-making structures before modernization begins.
• Assess the full cost of migration and ongoing cloud operations rather than focusing only on initial implementation.
• Plan data migration, testing, security, and continuity measures to reduce disruption during cutover.
• Build internal skills and capacity so the agency can manage and optimize its modernized environment.
• Strengthen vendor oversight while deciding what to build, buy, modernize, or retain.
• Move beyond lift-and-shift by continuously optimizing cloud services and exploring responsible uses of AI in application modernization.

Government agencies need trusted, accessible data to communicate effectively and deliver digital services that feel consistent across departments and channels. This session will explore practical approaches to data integration and governance so you can improve service experiences without waiting for every legacy system to be replaced.

• Establish governance standards that improve data quality, ownership, privacy, and appropriate use.
• Simplify digital journeys by giving residents consistent information across web, mobile, and assisted channels.
• Reduce development time by using reusable components, integrations, and low-code delivery approaches.
• Measure improvements through service completion rates, response times, user feedback, and reduced administrative effort.

Growing cyber threats require agencies to protect sensitive information without slowing digital service delivery. This session will share statewide and agency approaches so you can strengthen data protection, resilience, and coordinated response.

• Apply practical security guardrails across systems, data, and suppliers.
• Improve coordination and information sharing across agencies.
• Prepare teams to maintain essential services during cyber incidents.

As departments begin piloting AI, practical lessons from early projects can help them avoid common setbacks and make better decisions about what to scale. This session will examine an AI Innovation Lab case study and provide actionable advice so you can design, govern, and evaluate AI pilots within your department.

• Define the service or operational challenge and why AI was considered an appropriate solution.
• Walk through the pilot’s design, participating teams, governance, data, and human oversight.
• Share implementation challenges, adjustments, and lessons that emerged during testing.
• Present early results and explain how success was evaluated.
• Explain how the team decided whether to improve, scale, pause, or stop the initiative.

As government services become increasingly digital, agencies must ensure that connectivity, affordability, skills, and accessibility do not prevent residents from getting the support they need. This session will share practical lessons from a public-private partnership so you can expand digital access and deliver more inclusive services across urban, rural, and underserved communities.

• Identify the connectivity, affordability, accessibility, and skills barriers affecting service access.
• Coordinate government, industry, libraries, schools, and community organizations around shared outcomes.
• Design digital services that work across different devices, connection levels, abilities, and support needs.
• Connect infrastructure investments to healthcare, education, employment, and government service outcomes.
• Measure success through adoption, service completion, resident experience, and community impact.

Government agencies collect large amounts of program and operational data, but turning it into timely decisions remains difficult. This session will explore how government leaders can use analytics to evaluate performance, direct resources, identify service gaps, and demonstrate whether programs are producing meaningful results.

• Define useful performance measures that connect agency activity to public outcomes.
• Combine operational, financial, demographic, and resident-experience data to develop a fuller picture of performance.
• Use dashboards and analytics to identify service gaps and direct resources where they are needed most.
• Improve data quality so leaders can trust the information guiding decisions.
• Translate analytical findings into clear recommendations for executives and program teams.
• Balance transparency and data access with privacy, security, and responsible use.

Modernization can fall short when new systems are designed around technical requirements rather than the realities of frontline work. Using Georgia SHINES as a practical case study, this session will examine how DHS learned directly from caseworkers, addressed accessibility and rural connectivity challenges, and planned for continuity so essential services could continue when technology was unavailable.

• Use observation and frontline research to understand how employees deliver services in real-world conditions.
• Involve caseworkers and other frontline employees in system design, testing, and implementation decisions.
• Design offline access and mobile capabilities for employees working in rural areas or locations with unreliable connectivity.
• Identify and correct accessibility mistakes before they become barriers for employees or residents.
• Maintain practical continuity plans so essential services can continue when systems or connectivity fail.
• Apply lessons from Georgia SHINES to improve adoption, resilience, and service delivery across other modernization projects.

Cities, counties, and school systems often have smaller teams, tighter budgets, and less capacity to develop AI policies and evaluate tools independently. Using GTA’s AI playbook as a practical guide, this session will help local and education leaders take responsible first steps without needing the resources of a large state agency.

• Choose a focused first use case based on organizational needs, feasibility, risk, and public value.
• Establish minimum governance, privacy, cybersecurity, procurement, and human oversight controls.
• Train employees who have limited AI experience to use approved tools safely and effectively.
• Evaluate affordable, already-vetted tools rather than creating unnecessary systems from scratch.
• Recognize situations where AI is not appropriate and a simpler or more accountable approach should be used.
• Create a practical starting plan that can mature as the organization builds experience and capacity.