WEST 2022 Sponsorship and Branding Opportunities
AFCEA and the U.S. Naval Institute have developed an enhanced sponsorship program for WEST 2022 that will offer maximum visibility to those who participate! What better way to make sure you stand out and increase your exposure than at this foremost event in which industry leaders can learn about military requirements and connect with decision makers and operators, where senior military and government officials can gain feedback from sea service warfighters, and where industry thought leaders will discuss and demonstrate sea service solutions? Sponsorship opportunities are offered at a several investment levels, ensuring your ability to participate.
Browse available options below, or jump to specific categories: Patron Packages, Individual Sponsorships and Advertising Opportunities. Branding Opportunities will be available soon.
First Right of Refusal for WEST 2022 is currently active for several sponsorships until December 10th. Please check back on Monday, December 13th when the remaining sponsorships will be available.
The deadline to be included in sponsor signage is Friday, January 21st.
Deloitte
Deloitte’s Government & Public Services practice – our people, ideas, technology and outcomes – are all designed for impact. Our team of over 12,000 professionals bring fresh perspective to help you anticipate disruption, reimagine the possible, and fulfill your mission promise.
How can we make a difference together? Contact us to get started.
www.deloitte.com/us/dsj
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The possibilities of cloud start with you. Deloitte helps you focus on where and how cloud can make a difference in achieving your mission goals. Sometimes, this means starting with a targeted application migration that you can implement quickly and use as a springboard for more innovation.
Other times, it means a broader multicloud transformation at enterprise scale. Either way, Deloitte can help you see your mission through cloud and deliver it with confidence. We do that by:
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Modernizing processes and systems so you can maximize the full potential of your mission.
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Infusing innovation into every aspect of your cloud solution, from strategy to implementation to managed services.
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Inspiring certainty because Deloitte brings a ready pool of people, skills, and alliances to bear that has helped ensure positive mission outcomes for our clients for more than a century.
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Start with where your mission needs to go. And let cloud take you there.
It’s more challenging than ever to deliver on your mission with today’s constrained budgets, accelerated timeframes, heightened security concerns, and rising expectations from constituents. Cloud can help you manage all of that complexity by driving greater efficiency, innovation, security, and connectedness—so you can stay focused on your mission.
But not every cloud solution is a match for every mission. That’s where Deloitte’s cloud and domain experience can make the difference. We can help you modernize processes and tools—with an eye on not only technological ramifications, but also on the implications for your stakeholders and your workforce.
For decades, we’ve earned the trust of mission-driven organizations across the government and public services sector. This understanding helps inform solutions that address today’s need for security, scalability, innovation, and automation, along with setting a foundation for tomorrow’s innovation.
With Deloitte, your cloud solution is fit to serve your mission and built to evolve with it.
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Navy Ship Systems were built well before cybersecurity became crucial for National Security and before the possibility of facing cyber threats became realistic and very probable. The Maritime DCO (Defensive Cyber Operations) solution will sit on top of the current Navy systems and passively monitor them for any anomalous activity, such as cyber-attacks intended to take down or disrupt the ship systems. The Maritime DCO solution will monitor a wide variety of OT (Operating Technology) systems, such as HM&E (Hull, Mechanical, and Electrical), navigation, and weapon systems and alert the ship operators of any detected anomalous activity real-time. The Maritime DCO solution will take advantage of edge computing and machine learning capabilities in order to provide the Navy crew with accurate, on-premise predictions and analytics.The Maritime DCO demo was developed in roughly 2 months utilizing Raspberry Pi computers, Arduino microcontrollers, Google Cloud, Splunk, OpenCPN, 3D modeling / printing, and off the shelf DC / Servo motors. The demo models Navy HM&E and Navigation systems. We 3D printed a screw and rudder, attached these components to motors and microcontrollers, which are controlled through a custom webapp, meant to represent the Navy Bridge control screen. We also built a Raspberry Pi based AIS receiver, which intercepts real AIS messages and displays the ship track data on OpenCPN. We created 4 different cyber-attack scenarios, which can be turned on / off and adversely affect the integrity of the Navy ship systems described above. We created a Maritime DCO Analytics Platform in Google Cloud for this prototype that monitors the Navy systems for any anomalous activity. The overall health of the Navy systems, along with Anomaly Alerts are displayed on a custom Splunk Dashboard, aka the Maritime DCO Dashboard. For example, if the Bridge Control webapp sends a command to change the screw state from “Ahead Full” to “Back 1/3”, and no change in screw state occurs, an anomaly is detected, and an alert / description of the issue are displayed in the Maritime DCO Dashboard. Our solution is meant to detect threats and alert the crew real-time, who will then respond to and correct any observed issues onboard the ship.
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Organizations rarely have enough data to understand or predict how interconnected networks will react to changes or disruptions. FutureScape uses agent-based simulation and distributed cloud computing to test how massive, complex networks will react to scenarios that haven’t happened yet. As an industry-first solution, FutureScape offers modeling and simulation capabilities that leverage advances in cloud computing, Machine Learning, and Artificial Intelligence and enables digital twin environments to generate high fidelity data on problems that were previously too large, dense, and/or complex to model in one consolidated view. FutureScape models all layers of a network in one place to provide an agile testbed to experiment with potential disruptions and determine network vulnerabilities. FutureScape is adeptly suited for modelling bases and base defense systems, simulating intrusions and defense system performance, and quantifying performance metrics and risk associated with existing and proposed systems. FutureScape provides a unique predictive analytics tool for 1) estimating the impact a disruption will have on an entire region, such as a military base and its defense system, and 2) providing a testbed to assess disruption scenarios and the efficacy of the corresponding response and mitigation plans. As an agent-based simulation, FutureScape employs custom AI-algorithms to govern intrusion- and defender-agent behavior, decisions, and logic. FutureScape simulations rely on agent-to-agent interactions across multiple agent types (e.g. decision making entities) and domains (e.g. infrastructure layers). During a simulation, these micro-scale interactions aggregate to build a reliable larger-scale picture. FutureScape creates an interactive digital twin simulation where users can simulate intrusions, attacks and defender actions to test scenarios and identify the strongest system makeup. Layers can be added to the digital twin to accommodate new use cases and the fidelity of these layers can be adjusted from high-level constructs like “sensors” to user-specific weapon systems.
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The explosion of the number of connected devices in the last 10 years has led to a considerable increase in the nature and scope of Artificial Intelligence at the Edge (EdgeAI). Furthermore, hardware, software, and mission use cases have come together to drive several advances in AI supporting Department of Defense applications. We define EdgeAI as the deployment of Machine Learning models to Edge technologies. Edge technologies are characterized by a networked combination of sensors and compute platforms to achieve an effect. EdgeAI gives these systems the ability to deliver insights and inform actions in milliseconds in low and no-connectivity environments. During this talk, we will describe how Deloitte views EdgeAI as a domain, deployment considerations for EdgeAI technology, and how EdgeAI can impact the challenges faced by the Navy. The talk will include a demonstration of computer vision deployed to a drone platform for remotely inspecting power lines and a wearable model deployment with applications in maintenance assistance. The Department of Defense has made considerable investment in artificial intelligence, and the Department of the Navy has contributed to that effort significantly. Myriad use cases in the core mission domain of the US Navy exist for EdgeAI systems. For example, computer vision models deployed to wearable technologies can provide immediate “walk-through” assistance to sailors afloat as they work on shipboard weapons systems and power plants. Additionally, EdgeAI models can be deployed to unmanned systems to find and highlight potential issues during maintenance inspections of shipboard equipment or other remote infrastructure. Several considerations become important when conducting AI/ML development for Edge applications. Our team uses the latest compute stack for training and deploying models to Edge environments, and we will highlight some of those considerations during this talk. Finally, we will show work that our team has done to address use cases of interest to the Navy mission, demonstrating the art of the possible in the EdgeAI space.
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Current solutions for space vehicle anomaly detection do not meet the requirements needed for the increasingly complex and contested domain. Lack of visibility into space vehicle (SVs) health status prevents operators from rapidly detecting, characterizing, and responding to anomalous system behavior. The Silent Sentinel concept is an autonomous on-orbit defensive cyber operations (DCO) to ensure resilience of critical missions that rely on the space domain. This solution will be a new standard, enterprise, out-of-band DCO payload that provides real-time, predictive cyber-analytics and learning, including connectivity to enterprise-wide neural nets that allow satellites to improve operations in real-time. This is intended to autonomously provide response options for the space vehicle (SV) as well as visibility and high-fidelity understanding of cyber activities to ground based operators and mission owners via an out-of-band transport and communications layer for both SV to ground and SV to SV communications via the DCO payload. This concept enhances space domain resilience, optimizes multi-domain command and control (MDC2) practices, increases the ability to operate through adversary attacks on space assets, and shortens the kill chain to allow friendly forces to deal with dynamic escalating threats at a place, time, and domain of our choosing. The concept leverages existing and planned commercial and military distributed satellite constellation architectures and infrastructure to apply, test, and mature DCO requirements to protect critical space mission payloads. This on-orbit DCO capability not only will provide real-time space-based DCO capabilities in times of early phase of war conflict but also provide pattern of life data accumulated in peacetime to enhance AI and ML capabilities that support satellite self-commanding, space mission payload success, and time-sensitive targeting within tight decision cycles. An operational scenario could play out as follows: just before or soon after time-sensitive-target (TST) identification has been accomplished, the SV is attacked non-kinetically. The DCO payload detects and assesses the threat, and provides defensive countermeasures, while the SV self-commands maneuvers, shifts in communication paths, or shifts constellation resources as needed, all while allowing the payload to continue tracking the target, enabling a proper and potentially kinetic military response to the target, and ensuring overall mission success in all interacting domains. This enables implementation of a recurrent neural network, controlled flexibly within any individual DCO payload, which itself can provide visibility into multiple hosted payloads as needed, depending on the mission.
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Government Acquisition is an exciting, yet complicated world. Although acquisition systems are critical to the mission of Government agencies, the modernization of these systems can be a risky endeavor. In order to mitigate this risk, mission owners need to look for confidence in leveraging a knowledge base fluent in both general Acquisition Management and Government Acquisition Solutions.
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At Appian, we want to ensure a friction-less, efficient, and scalable Acquisition Experience. To do this, we turn to our strategic partners. Appian’s strategic partners play a critical role in our Public Sector practice every day. By accelerating time to market and speed to value, partners are paramount in the go-to-market strategies of our government customers. As our partner ecosystem grows, we unlock new exciting potential in our abilities to bring insights, value, and deliver results to help agencies achieve their mission.
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With the recent build-out of our Government Acquisition Solutions Suite, we are excited to announce today that Appian is launching its Appian Acquisition Accreditation Program (AAA) for partners to leverage in order to give government customers the highest quality options in Government Acquisition. This program is based on Appian best practices and holds the highest standard as it relates to the federal acquisition space, allowing Appian authorized partners to take Appian Acquisition solutions for Government to market with speed and agility.
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Three Reasons Why the AAA May Be Right For You
1) More choices = Better results: Customers now have more choices in leveraging the expertise and best of Appian’s Acquisition practice by working with partners accredited with the new AAA program to help modernize their Acquisitions practice and systems
2) Expand your Appian Acquisition Practice: If scale is a challenge, the AAA is your accelerator.
3) Lead with Appian: As a vetted leader in the Federal Acquisition space, Appian is qualified to perform at the highest industry standard. With four Acquisition Solutions in-market today, Appian has the implementation expertise to deliver results.
Coinciding with the launch of this new program, we are equally thrilled to announce Deloitte as Appian’s first strategic alliance member to deliver these standards. Deloitte’s industry-leading domain expertise in public sector acquisitions, coupled with its time-tested Appian delivery methodology, has yielded this pioneering achievement.
“We’re proud to team up with Appian to offer customized and modernized government acquisition systems,” said Gail Guseman, specialist leader, Deloitte Consulting LLP. “Working together, we can help federal, state and local agencies access efficient, agile and high-quality solutions that improve the public sector procurement process.”
Time to market and speed to value are the primary goals in integrating a complex, new government acquisition solution. The new AAA program, along with a growing ecosystem of partners are here to help accelerate government acquisition into the future.
To learn more about the eligibility criteria for accreditation, please click here.
If you’re an eligible Appian partner interested in earning your badge, express your interest in Appian Community today!
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