Zero Trust Security: Efficiently Detect...
Embark on a transformative journey as we guide you through the essentials of initiating your Zero Trust strategy. In this upcoming webinar, we will unveil industry-proven methods and tools, providing you with actionable insights on detecting and safeguarding sensitive data effortlessly. Discover the power of Informatica’s Enterprise Data Catalog (EDC) and learn best practices for scanning and detecting sensitive data across your agency...
Unlocking the Potential of AI & Data Sc...
The US government has initiated various AI/ML programs, emphasizing the strategic importance of customer experience (CX), including AI Legislation and Executive Orders (EO) like EO 14058. The impact of AI resonates across multiple crucial government sectors, from National Security and Health & Human Services to Commerce, Energy, Law Enforcement, Public Authority/Utility and Transportation. The adoption of AI doesn't come without challenges...
Build AI Success on Trusted Data with I...
The US government has recognized the strategic importance of artificial intelligence and customer experience. The impact of AI is felt across multiple crucial government sectors, from National Security and Health & Human Services to Commerce, Energy, Law Enforcement, Public Authority/Utility and Transportation. Effective data management practices are crucial for ensuring the success of AI projects. By addressing data quality, governance, a...
Data-Driven Strategies for Delivering C...
Higher education institutions face a complex data landscape with student information scattered across numerous systems. Student Information Systems hold core student records but often operate in silos. Learning Management Systems track crucial data like course enrollments, grades and online learning activity, yet may not integrate well with other systems. This fragmented data environment hinders the ability to personalize student experiences,...
Optimize Service Delivery with Predicti...
Public sector agencies face escalating pressures to leverage generative AI for improved service delivery and operational efficiency. However, they grapple with data silos, inconsistencies, and biases that hinder the reliability of AI-generated insights. This is compounded by increasing mandates for data transparency, accountability, and security, as outlined in frameworks like the Federal Data Strategy and the NIST AI Risk Management Framework...
Government Legacy IT Modernization: Ove...
In today's fast-paced digital landscape, the need for government agencies to modernize their outdated systems is more critical than ever. Legacy technology not only hinders operational efficiency but also limits the ability to meet the evolving needs of citizens. How can agencies ensure their platforms remain agile, cost-effective and future-ready?During this webinar, attendees explored the innovative strategies to modernize legacy systems in...
Unlocking Government Analytics Potentia...
As the importance of data analytics and automation continues to grow, effective data governance has become a critical focus for government agencies seeking to enhance data quality, leverage actionable insights and ensure compliance. However, many agencies face significant governance challenges that limit data sharing and collaboration as well as hinder the adoption of consistent data standards. Attendees joined Informatica to discover how agen...
Navigating Supply Chain Risks: Strategi...
To address the potential for disruptions, policy hindrances and damaged public trust caused by federal supply chain vulnerabilities, U.S. government and defense agencies must gain critical risk insights through improved data visibility. An advanced enterprise data management system is key to achieving this, offering a consolidated view of supplier information that facilitates proactive data quality, efficient onboarding and seamless data integ...
Modernizing Government Data Management...
Public sector agencies are rapidly adopting generative AI (GenAI) to modernize data management, improve citizen services and streamline operations. However, many agencies rely on outdated information, disconnected systems and manual processes that slow decision-making and limit the effectiveness of key initiatives. This fragmented data landscape makes it difficult to access and integrate the comprehensive data that large language models (LLMs)...
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