|
Task Title |
Task Description |
Skills |
Estimated ManHours |
Skill Points ℠ Focus |
Skill Points ℠ Applied |
Total Views |
||
|---|---|---|---|---|---|---|---|---|
| Weekly Data Processing, Forecasting, Insight Sharing, and Strategic Planning Sessions | Because scaling 1:100 ratio is significant and unpredictable, strategy sessions for current evaluations but also as significant what and how to make longer term strategy with the new insights. | Project Forecasting, Data Analysis, Scenario Analysis, Business Operations, Marketing Strategy... | 2700 | 7596 | 260 | 116 | Soon Interface to Use Template to Create Task Labels | |
| Ongoing Monitoring, Evaluation and Tuning of AI Performance, Accuracy, and Predictive Capabilities | Ongoing, continuous improvement process to ensure the AI infrastructure meets performance specifications. | Statistical Modeling, Systems Architecture, ML Benchmarking, Data Verification, Analytical Thinking... | 3500 | 15791 | 283 | 94 | Soon Interface to Use Template to Create Task Labels | |
| Prepare System for 1:100 Scaling of Load, Search and Performance | Test and tune the current system's ability to handle a massive increase in compute and data load. | System Verification Strategy, Data Monitoring, Digital Compliance, Systems Evaluation, MS SQL Server... | 4000 | 17241 | 224 | 118 | Soon Interface to Use Template to Create Task Labels | |
| Final HITL of Database Records for Live Production of Content | Peer review of each of input: input content files, interpreted AI data, and current database records. Compare the results with the precedence of the live content from the current system, both with a SME and aggregate functions. | Content Management, Data Verification, Data Analysis, SME Communication, Attention to Detail... | 900 | 1295 | 255 | 104 | Soon Interface to Use Template to Create Task Labels | |
| Prepare, Validate and Process AI Interpreted Data for a Database | Create database records from interpreted content, AI generated definitions, meta, and classifications. Validate data definitions match database schema, a statistical margin of error, and other checks. | Database Design, Database Systems Knowledge, Database Audit, Complex Problem Solving, API Development... | 900 | 1301 | 309 | 102 | Soon Interface to Use Template to Create Task Labels |
(Focus and Applied) Skill Points are referenced in thousands. These templates seed companies creating Task Labels for their workflow and as input to Project Labels.
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