Where Does My Organization Start on Its GenAI Journey?
Enthusiasm for AI broadly and GenAI more specifically is reflected in recent directives from the Executive Branch on AI. Yet, while agencies are directed to “identify and prioritize uses of AI that will improve their agency mission”, the directives provide guidance on those types of AI applications that may pose undue risk. Noticeably absent is the categories of use cases that constitute responsible use.
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Applications in the categories identified below are an excellent starting point for Generative AI pilots.
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Each can bring significant ROI and can be deployed in ways that significantly minimize risk. While some level of risk exists in any IT deployment, genAI applications in these areas do not bring the additional risks associated with rights impacting or safety impacting deployments. These categories reflect less complex deployment types that help agencies work through the mandate to remove barriers to responsible use of AI and advance responsible use to “improve operations and deliver efficiencies.
Unstructured Data Search
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
Cybersecurity
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
Protected data exchange
Assess whether data being shared is properly marked, includes PII, and is appropriately shared for each specific partner
Knowledge Management
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
Customer Support
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
Testing and Data Generation
Create test data and conduct testing to ensure software and systems meet specified standards
Content Creation
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
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Data Analytics
Search and retrieval of information from unstructured sources like emails, sharepoint repositories, file stores and more
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Compliance Checks
Identify compliance issues within unstructured data sets
Why Now?
There are compelling reasons why organizations should consider implementing generative AI technologies now. Increasing demands on agencies combined with tight budgets means agencies must consider all automation avenues. Traditional approaches to automation, including more recent breakthroughs offered by RPA, take time to implement and too often automate traditional workflows vs re-envisioning processes. Adoption of gen AI drives immense value to the workforce, promoting new thinking and giving the workforce time to re-envision. As AI technology continues to evolve and become more integrated into operations, organizations that hesitate may miss out on these transformative benefits.
Time savings
Work tasks are accomplished far more quickly. Depending on the task, time saved can range up to 95%. For selected tasks requiring work with massive quantities of data, tasks simply can not be performed by humans.
Reduced manual effort
Reduction in effort may reflect in either reduction in staff required to perform an activity (cost savings) or ability to redeploy resources to other tasks
Improved accuracy and completeness
How many times have any of us searched for information and given up after finding some. Is good enough in fact good enough? With the assist provided by generative AI, tasks can be performed comprehensively and without the introduction of human error
Decision advantage
Increased ability to incorporate multiple inputs supports decision makers in improved decision making ability
Insights
All organizations are swimming in data, so much so that it is impossible to effectively glean insights from most of it. Using genAI to assist in classifying, categorizing and sifting through extensive data sets improves humans ability to be productive.