Artificial Intelligence Operations (AIOps)

The volume of enterprise data continues to expand at an exponential rate. To make timely, accurate decisions in today’s information-rich environment, agencies need to channel, evaluate, and harness these growing amounts of data, quickly and securely. But how can senior leaders get the insights they need for the mission when information flows outpace what technical analysts can effectively handle?

For more and more agencies, artificial intelligence (AI) is the best way to manage information overload. Why? AI is now more accessible than ever. Gains in computing power, low-cost data storage, and streamlined algorithm development have changed what is possible. Across the federal government, AI’s powerful algorithms are automating data-heavy processes, finding patterns and extracting intelligence, and equipping decision makers to act.

To help you scale AI for faster data analysis, Booz Allen drew on experience delivering more than 120 federal AI projects to design a new AI Operations (AIOps) engineering framework. This framework enables you to address post-pilot challenges with low risk and rapidly embed AI capabilities throughout the enterprise in support of specific missions.

Although many agencies already have AI pilots in place, they need a detailed playbook to quickly mature, integrate, and operationalize their AI capabilities. And the more progress they make toward enterprise-scale deployment, the greater the benefits. Successfully using AI to meet or exceed human ability in performing core tasks enables organizations to realize significantly more value from their existing analytical capacity. AI tools complement, rather than replace, human judgment, freeing analyst teams to perform more high-value work.

With our AIOps approach, Booz Allen can help you extend AI across your organization as efficiently as possible. How? AIOps enables you to more quickly accomplish key goals on the journey from lab to production environment, including:

• Creating a cross-functional team with defined roles
• Securing buy-in from leaders and risk managers
• Using mission engineering to select the most promising use cases
• Quickly integrating AI building blocks with Booz Allen’s aiSSEMBLETM framework
• Using DataOps and ModelOps to simplify the delivery of machine-led insights
• Adhering to responsible AI principles for ethical, unbiased, and secure AI from the start
• Applying cybersecurity tools to safeguard data and applications
• Streamlining operations and maintenance with full lifecycle monitoring and system updates
• Quantifying and improving machine-learning performance over time

Better data analysis means greater process efficiency, more accurate decision making, and an increased focus on your agency’s mission. By simplifying the work of scaling AI throughout the enterprise, Booz Allen’s AIOps framework brings powerful insights and data-driven truths within reach.