Systems and methods for extended horizon time-sequences

1. An apparatus comprising:

a time-sequence circuit structured to output time-sequence data;

a connector circuit structured to adjust at least one of an input to the time-sequence circuit or the time-sequence data outputted by the time-sequence circuit;

a time-sequence interpretation circuit structured to interpret the time-sequence data;

a target interpretation circuit structured to interpret target data;

a time-sequence trend analysis circuit structured to extract a trend from the time-sequence data;

a horizon target analysis circuit structured to:

determine whether the extracted trend furthers or impedes a target defined, in part, by the target data, and

responsive to a determination that the extracted trend impedes the target, generate in real-time, a promotive action command value structured to trigger an adjustment to the connector circuit, wherein the adjustment is structured to mitigate the extracted trend from impeding the target; and

a promotive action provisioning circuit structured to transmit the promotive action command value to the connector circuit.

2. The apparatus of claim 1 , wherein the target corresponds to a turn-over rate.

3. The apparatus of claim 1 , wherein the target corresponds to number of sales.

4. The apparatus of claim 1 , wherein the target corresponds to an amount of profit.

5. The apparatus of claim 1 , wherein the target corresponds to at least one of:

a stock price;

a cash flow; or

a social target.

6. The apparatus of claim 1 , wherein the extracted trend corresponds to a number of hours worked.

7. The apparatus of claim 1 , wherein the extracted trend corresponds to a single employee.

8. The apparatus of claim 1 , wherein the extracted trend corresponds to a plurality of employees.

9. The apparatus of claim 1 , wherein the promotive action command value corresponds to a direct scheduling change to the time-sequence data.

10. The apparatus of claim 1 , wherein the target data defines, in part, another target, wherein the apparatus further comprises a target ranking circuit structured to rank the target with respect to the another target via artificial intelligence.

11. The apparatus of claim 10 , wherein the artificial intelligence comprises a neural network trained to rank targets via a data training set that labels each of a plurality of targets with a corresponding importance value.

12. The apparatus of claim 1 , wherein the promotive action command value corresponds to a change in a bias of a connector circuit in an agglomerate network.

13. A method comprising:

outputting, via a time-sequence circuit, time-sequence data;

interpreting, via a time-sequence interpretation circuit, the time-sequence data;

interpreting, via a target interpretation circuit, target data;

extracting, via a time-sequence trend analysis circuit, a trend from the time-sequence data;

determining, via a horizon target analysis circuit, whether the extracted trend furthers or impedes a target defined, in part, by the target data;

responsive to a determination that the extracted trend impedes the target, generating, in real-time via the horizon target analysis circuit, a promotive action command value structured to trigger an adjustment to a connector circuit that adjusts at least one of an input to the time-sequence circuit or the time-sequence data outputted by the time-sequence circuit, wherein the adjustment is structured to mitigate the extracted trend from impeding the target; and

transmitting, via a promotive action provisioning circuit, the promotive action command value to the connector circuit.

14. The method of claim 13 further comprising:

directly changing a shift in the time-sequence data in response to the promotive action command value.

15. The method of claim 13 , wherein the target corresponds to at least one of: a turn-over rate, a number of sales, an amount of profit, a stock price, a cash flow, or a social target.

16. The method of claim 13 further comprising:

generating, via a mitigation circuit and based at least in part on the time-sequence data and austere event data, a mitigation action command value structured to trigger an adjustment to the time-sequence data, wherein the adjustment is structured to effect a change of a property of the time-sequence data to mitigate an effect of an austere event corresponding to the austere event data on one or more entities associated with the time-sequence data; and

transmitting, via a mitigation action provisioning circuit, the mitigation action command value.

17. An agglomerate network for generating time-sequence data, the agglomerate network comprising:

a time-sequence circuit structured to output time-sequence data;

a connector circuit structured to adjust at least one of an input to the time-sequence circuit or the time-sequence data outputted by the time-sequence circuit; and

an extended horizon evaluation circuit structured to:

interpret the time-sequence data;

interpret target data;

extract a trend from the time-sequence data;

determine whether the extracted trend furthers or impedes a target defined, in part, by the target data;

responsive to a determination that the extracted trend impedes the target, generate in real-time, a promotive action command value structured to trigger an adjustment to the connector circuit to effect a change of at least one of the input to the time-sequence circuit or the time-sequence data outputted by the time-sequence circuit such that the extracted trend is mitigated from impeding the target; and

transmit the promotive command value to the connector circuit.

18. The agglomerate network of claim 17 further comprising:

a time-sequence adjuster circuit structured to receive the time-sequence data from the connector circuit and adjust the time-sequence data; and

another connector circuit structured to receive adjusted time-sequence data from the time-sequence adjuster circuit and bias the adjusted time-sequence data.

19. The agglomerate network of claim 17 , wherein the adjustment to the connector circuit changes a bias of the connector circuit.

20. The agglomerate network of claim 19 , wherein the connector circuit adjusts the input to the time-sequence circuit.