DETAILED ACTION
Claims 1-20 are pending in the present application.
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Rejections - 35 USC § 102
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention.
Claim(s) 1, 8, and 15 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Oliveira et al. US Patent 12,536,157 B2.
Regarding claim 1, Oliveira et al. teaches the following:
One or more non-transitory machine-readable media storing instructions which, when executed by one or more processors, [note: Figure 2, (200) Report Management Environment; column 13 lines 1-27 ] cause performance of operations comprising:
training a machine learning model to select data components in base reports for inclusion in summary reports, the training comprising: accessing training data sets, each training data set comprising: a particular base report comprising a particular set of data components; and an identification of a subset of the particular set of data components, comprised in the particular base report, that are to be included in a particular summary report associated with the particular base report [note: column 6 lines 35-47, “Machine learning is used to train the artificial intelligence system … and comprises modeling 218 for training a set of artificial intelligence models”; column 6 lines 52-67 ; column 7 lines 30-45 ]; and
training the machine learning model based on the training data sets; receiving a request to generate a first target summary report from a first set of base reports, the first set of base reports comprising one or more base reports [note: column 11 lines 5-44 creating reports; column 12 lines 11-26 generating and suggesting reports ];
applying the machine learning model to the first set of base reports to select a first subset of data components from the first set of base reports to include in the first target summary report [note: column 11 lines 5-44 creating reports; column 12 lines 11-26 generating and suggesting reports ]; and
generating the first target summary report to include the selected, first subset of data components from the first set of base reports without including a non-selected, second subset of data components from the first set of base reports [note: Figure 4 (406) present and suggest reports in a graphical user interface; column 11 lines 5-44 creating reports; column 12 lines 11-26 generating and suggesting reports; column 11 lines 5-44 creating reports; column 12 lines 11-26 generating and suggesting reports ].
The limitations of claims 8 and 15 parallel claim 1; therefore they are rejected under the same rationale.
Allowable Subject Matter
Claims 2-7, 9-14, and 16-20 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Note attached form PTO-892.
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/GRETA L ROBINSON/Primary Examiner, Art Unit 2163
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