Upcoming Briefings

11 AM | EST - Jason Moy

This briefing will cover the pros and cons of various teaming methods, and how they interplay with the FAR and other sources of law.

11 AM | EST - Komal Goyal & Manish Khera

This 60-minute interagency briefing provides best practices of using Intelligent Automation (IA) augmented by Artificial Intelligence (AI) to optimize data usage within ERP systems while complying with federal agencies’ security protocols.

11 AM | EST - Brian Hebbel , Dave Lowe , Dr. Rafael Marrero , Peter Timbas & Sally White

Join every second Tuesday every month and meet a team of federal experts with success in selling billions to federal agencies.

1 PM | EST - Dave Lowe

This briefing will explore the System for Award Management (SAM), and how you can leverage the information on it to gain a competitive edge.

1 PM | EST - Daniel Thompson & Jamie Blackburn

This EPA briefing is scheduled for 45-minutes maximum and will include a product overview of the iAdvantage eStudy platform. eStudy is in use by organizations reporting data to EPA and its use assists scientists, program management, and leadership with clean data collection.

1 PM | EST - Kevie Hendrix

This briefing will explore the Defense Logistics Agency (DLA) and how it operates. The DLA is one of the most active federal agencies with millions of contracts awarded in FY2023. Marketing to DLA does have its challenges, most of which can be solved by knowing how the DLA operates.

11 AM | EST - Ali Pabrai

This briefing will cover the readiness steps that leadership must prioritize for their organizations to be prepared for a CMMC assessment and certification. CMMC 2.0 requirements will be incorporated into DFARS contracts including flow-down through the sub-contracting supply chain.

1 PM | EST - Antoine Smith

In this intensive briefing, we will delve into the essential principles of successful project delivery within federal contract management. Led by industry expert Antoine Smith, this briefing will explore how to optimize project execution for maximum profitability.