As more agencies and the services they provide digitally transform, fraud and its associated risks are more prevalent than ever — and now on a global scale. Across state governments, agencies are struggling to outpace innovative fraudsters, with new threats seemingly lurking around every corner of digital transformation. What are the top tools and strategies organization and IT leaders should be armed with to future-proof their state workforce agency against the threat of fraud, securing their data to not only protect residents, but also to reduce loss of capital, reputation, and efficiency? In Splunk’s webinar “The Keys to Future-Proofing the Unemployment Insurance Benefits Program Against Fraud,” subject matter experts will discuss the essentials all agencies should implement to continue safely and confidently evolving their modernization initiatives that require next-gen monitoring and analytics. The episode, part of Splunk’s series dedicated to enhancing enterprise data analytics for public sector organizations, will explore Splunk’s capabilities to outpace innovative fraudulent practices and ultimately drive organizational success. Key points to explore include: -The limitations of traditional anti-fraud tools to detect the ever-evolving forms that fraud can take — and the impact of these forms on eligibility program success -Why massive amounts of unstructured data that agencies generate leave them less efficient and less capable of detecting fraud -How machine learning and machine data are equipping fraud teams to effectively monitor, identify, and respond to new kinds of fraudulent activity -Review the latest technology and tools to leverage when it comes to enhancing enterprise fraud detection Presented by Splunk's Juliana Vida, GVP, Chief Strategy Advisor, Public Sector; NTT DATA Corporation’s Tom Luparello, Senior Director, Public Sector Strategic Advisor for Unemployment Insurance

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Splunk Inc.
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