IT service providers
Licensing Historical Company Operating Data for AI: A Guide for IT Service Providers
AI-assisted educational guide with automated source checks. FirmSignal is independent of Mode and may earn a referral fee if you complete a qualifying transaction through our link. Eligibility, valuation, terms and data handling are determined by the buyer.
IT service providers generate vast amounts of operational data, including ticket resolution, internal runbooks, incident reviews, and implementation plans. This data can be valuable for training AI models, but it requires careful consideration of data security, privacy, and compliance. In this article, we will explore the opportunity of licensing historical company operating data for AI, what makes operational context useful, and provide a concrete first assessment for IT service providers. We will also discuss the importance of data security and compliance, and provide guidance on how to prepare your data for licensing.
Understanding the Opportunity
IT service providers can monetize their operational data by licensing it to companies like Mode, which buys and de-identifies company-owned operating records for AI research and training. This opportunity is available to companies in the United States, Canada, United Kingdom, and Australia, with a minimum target of 10+ employees for legal, 15+ for accounting, medical, and finance, and 50+ for all other businesses. [1]
- Determine if your company meets the minimum target employee requirements
- Assess the types and volume of operational data you have
- Evaluate the potential value of your data
Operational Context and Data Security
Operational context is useful for AI training because it provides a rich understanding of how businesses operate, including workflows, decision-making processes, and problem-solving strategies. However, this data must be handled with care to ensure security and compliance. The Federal Trade Commission (FTC) provides guidance on protecting personal information, including taking stock of what personal information you have, scaling down to only what is necessary, locking it down with physical and electronic security measures, pitching it when no longer needed, and planning ahead for security incidents. [2]
- Conduct an inventory of sensitive personal information
- Implement physical and electronic security measures
- Develop a records retention policy
Preparing Your Data for Licensing
To prepare your data for licensing, you need to assess what data you have, its quality, and its potential value. You should also consider the systems and date ranges you want to include, as well as any exclusions. A hypothetical example of an inventory might include:
System: Ticketing system, Date coverage: 2020-2022, Internal owner: IT department, Useful workflow context: Incident resolution, Exclusions: Personal identifiable information
- Assess data quality and potential value
- Determine systems and date ranges to include
- Identify exclusions and sensitive information
Hypothetical Worked Example
Let's consider a hypothetical example of an IT service provider with the following inventory:
1. System: Ticketing system, Date coverage: 2020-2022, Internal owner: IT department, Useful workflow context: Incident resolution, Exclusions: Personal identifiable information
2. System: Internal runbooks, Date coverage: 2018-2020, Internal owner: Operations team, Useful workflow context: Process documentation, Exclusions: Confidential client information
3. System: Incident reviews, Date coverage: 2019-2021, Internal owner: Quality assurance team, Useful workflow context: Root cause analysis, Exclusions: Sensitive employee information
4. System: Implementation plans, Date coverage: 2020-2022, Internal owner: Project management team, Useful workflow context: Project planning, Exclusions: Proprietary company information
- Review and refine your inventory
- Assess data quality and potential value
- Determine next steps for data preparation and licensing
Questions to Ask a Buyer
When considering licensing your data to a buyer, you should ask questions such as: What is the purpose of the data licensing agreement? What types of data are included in the agreement? How will the data be de-identified and protected? What are the terms and conditions of the agreement?
- Ask about the purpose and scope of the data licensing agreement
- Inquire about data de-identification and protection measures
- Review the terms and conditions of the agreement
Uncertainty and Next Steps
Licensing historical company operating data for AI is a complex process that requires careful consideration of data security, privacy, and compliance. While there are opportunities for IT service providers to monetize their operational data, there are also uncertainties and risks involved. To move forward, you should consult with qualified professionals, review your data inventory, and assess your readiness for data licensing. Additionally, you should consider the potential benefits and drawbacks of data licensing, and develop a strategy for mitigating any risks. By taking a careful and informed approach, you can unlock the value of your operational data and contribute to the development of new AI technologies.
- Consult with qualified professionals
- Review your data inventory
- Assess your readiness for data licensing
- Develop a strategy for mitigating risks
Conclusion
In conclusion, licensing historical company operating data for AI can be a valuable opportunity for IT service providers. By understanding the opportunity, preparing your data, and considering the potential benefits and drawbacks, you can unlock the value of your operational data and contribute to the development of new AI technologies. Remember to always prioritize data security and compliance, and to consult with qualified professionals to ensure that you are taking the right approach.
- Prioritize data security and compliance
- Consult with qualified professionals
- Develop a strategy for data licensing
Frequently asked questions
What types of data can be licensed for AI research and training?
Operational data, including ticket resolution, internal runbooks, incident reviews, and implementation plans, can be valuable for AI training.
How can I ensure the security and compliance of my data?
You should follow the FTC's guidance on protecting personal information, including taking stock of what personal information you have, scaling down to only what is necessary, locking it down with physical and electronic security measures, pitching it when no longer needed, and planning ahead for security incidents.
What are the benefits of licensing my data for AI research and training?
Licensing your data can provide a new revenue stream, help improve AI models, and contribute to the development of new technologies.
Sources and further reading
Program criteria can change. Confirm current eligibility and written terms with the buyer. Hypothetical examples illustrate preparation and are not actual transactions.