Exploring the value of business data, expertise, and workflows in an AI-driven world. Practical insights on data licensing, business operations, and new opportunities from Jason Varner, founder of SmartHelping.
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Watch Jason explain the data licensing opportunity for your company, then explore the details below. Data licensing, explained How company data becomes useful AI training. By Jason Varner · Data Has Value Every completed project, resolved support ticket, and reviewed spreadsheet leaves a record of how a business works. Those records can contain something valuable: examples of people using information, handling exceptions, and making decisions. AI data licensing gives businesses a way to earn revenue from approved uses of that knowledge. A specialist data lab can turn it into material that AI developers use to train and evaluate models and agents. micro1 describes building realistic training environments from de-identified company data. The value chain: three roles, one connection. The company data licensing value chain Company data is ...
DataHasValue / A guide for business owners What is a data manifest? A data manifest is an inventory that describes your company's data: what it contains, how much exists, what period it covers, and how the records fit together. The actual collection of material can be called a corpus . When you apply to work with an AI lab or data partner, you may be asked to provide a company profile and data manifest. This information helps the prospective partner evaluate the data licensing opportunity. By Jason Varner / DataHasValue Watch the video Manifest vs. corpus What to include Three examples Build your checklist Watch the whiteboard explanation Data manifests and corpora, explained visually Watch Jason explain the difference between your actual collection of data and the inventory that describes it. Then use the examples below to start outlining your own manifest. The idea to remember: the corpus is the collection; the manifest describes ...
Watch Jason walk through the three examples, then explore the records and decisions below. DataHasValue · A practical guide Your everyday work can contain useful AI training data. An accounting correction. A resolved support ticket. An order delivered despite a stock shortage. Each can leave a record of how people use information, make decisions, and verify their work. The opportunity starts with recognizing that knowledge in the records your business already keeps. 01 · Accounting 02 · IT support 03 · Distribution Four questions reveal the useful history. Use these questions to examine a completed piece of work. They help you locate the original task, the evidence someone used, and the record of what happened. 01 / TASK What n...