Accenture Federal Services delivers a range of innovative, tech-enabled services for the U.S. Federal Government to address the complex, sensitive challenges of national security and intelligence missions. Together, our teams of software developers, data scientists, and specialists in machine learning, cyber, cloud, and information exploitation enable advanced programs to help our nation stay ahead, prepared, and secure.
A force of innovation, we bring together focused insights and technological advances, giving the mission space the advantage to stay ahead of adversaries.
Extracting meaningful context from complex, dynamic datasets, and data streams.
Applying state-of-the-art ML models, algorithms, and libraries to simplify and solve data-intensive analytical problems.
Creating multidisciplinary tools to dynamically disrupt, mitigate, and neutralize cyber vulnerabilities and adversary attacks.
Delivering accredited, scalable, containerized infrastructure and analytics on multiple cloud platforms.
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Processing and enriching social and traditional media feeds to generate strategic insights into dynamic events and geopolitical trends.
Ingesting and normalizing sensor, system, and intelligence data to create a unified web-based processing, analysis, and visualization environment.
Automating Infrastructure-as-Code pipelines for secure, continuous integration and delivery of production software.
Collecting and analyzing sensor and IoT data through edge-to-enterprise platforms.
Connecting business knowledge and mission experience to enable transformative digital services focused on improving user experiences at enterprise scale.
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Always looking forward, the Federal Viewpoints blog is a space to tap into what’s happening inside Accenture Federal Services, a look at the wider industry, and a glimpse of integrated solutions coming from commercial market advances.
Artificial intelligence requires data, with computer-generated data filling significant voids like privacy concerns to fuel continued innovation. However, this synthetic data can also be used to create deepfakes, bots and other forms of disinformation that erode trust in AI. As AI-generated data and synthetic content convincingly mimic what is “real,” authenticity is emerging as the new north star.
Kyle Michl explores this with Marc Bosch-Ruiz, PhD. and Shauna Revay, PhD., co-authors of the Trend 3 report. They share examples of how federal agencies fuel innovation with synthetic data and a new framework for authenticity in defining data.
How CPG leadership can drive growth
Episode 4: AI’s synthetic data paradox, Kyle Michl, Marc Bosch-Ruiz, PhD. and Shauna Revay, PhD.