From multiple models
comes unified intelligence.
TDX is an assembly of proprietary artificial intelligence models that consume and cleanse customers’ messy transactional data and generate opportunities for optimization.
Name | Description | Date | Amount |
---|---|---|---|
Project Plan and kick-off deck | Asana based project plan and PowerPoint presentation | 2/10/2020 | $20,000 |
Voice of the Customer Interview summary | Summarize findings from the customer interviews | 2/18/2020 | $30,000 |
Taxonomy and Rate Card analysis | Analysis and recommendations related to taxonomy structure and positioning of rate card to market | 3/31/2020 | $20,000 |
Comprehensive Report on Current State of CW program | Final presentation of project deliverables, including summary of findings and program optimization roadmap | 3/19/2020 | $100,000 |
AI reads through unstructured text of job descriptions and extracts skills and job titles.
Used in:
Extracts key elements from unstructured SOW documents such as budget, scope, start and end dates.
AI reads through SOW contracts, looks for misclassification and helps determine where sourcing the service as a contingent worker would be more appropriate to policy and price.
Used In:
Generates predictions of current and future pay rate, mark-up, and bill rate for any role or collection of skills, in any of 40 countries.
Determines time needed to fill for a role with a given set of skills in a given market.
Used In:
TDX AI models are exclusively trained with actual transactional data, the atomic level truth of the market. TDX’s data comes from all major industries, across 135 countries, from all of the various Vendor Management Systems used by the Global 2000.
TDX AI reads the unstructured text from disparate systems and standardizes them into a common format.
TDX AI models are trained & tested on a continuous basis, ensuring outputs are accurate, relevant, and up-to-date.
TDX AI does more than classify and calculate, it is part of the componentry of the TDX application suite. TDX applications create the workflow experience, perform the comparisons, serve up the results, and quantify the impacts.