Government Contractor Business Ethics

In December 2011, the Department of Justice issued its annual press release of recoveries from contract fraud serving as a reminder of the risks of being a government contractor and reinforcing the importance of knowing the expectations for Business Ethics and Standards of Conduct.
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OTHER ON-DEMAND WEBINARS

Government Enterprise Low-Code Case Management Success Stories

appian

Jason Adolf from Appian Public Sector and June Burr from the Vermont Agency of Transportation recently discussed how government agencies are developing innovative low-code case management systems. They showed how agencies can become better performing and continually improving organizations with the right business process management (BPM) technology, methodology, and management. Watch the webinar to see examples of efficiency gains and project returns on investment (ROI) of 50X from leading agencies.
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Government Compliance and Accounting Systems: What You Need to Know

Synergy Business

Hear compliance and system experts discuss keys to success and how to avoid pitfalls when complying with regulations for federal contracts. Marked fields required.
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The Lightning Round: What is Zero Trust?

In The Lightning Round, a new webinar series from Government Technology, we’re explaining these emerging concepts and demystifying gov tech one buzzword at a time. In this episode, we’re looking at Zero Trust. It has quickly emerged as an essential part of a modern cybersecurity framework. But what exactly does Zero Trust security mean? How has the concept evolved since it was introduced — and how might it continue to change?
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Demystifying AI for State and Local Governments

Many state and local governments got their first practical experience with the technology during the pandemic as they turned to intelligent agents to cope with overwhelming public demand for information and services. Now, adoption of AI is increasing, with more than 50% of states and nearly 40% of cities and counties saying they’ll expand their use of AI and machine learning over the next 12 to 18 months.
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