Kimberly A Taft, 51Dundee, NY

2021032, Oct 14, 2021

Apr 14, 2020

16/848354

- Armonk NY, US
ANGELO DANDUCCI, II - AUSTIN TX, US
DEVON E. MENSCHING - AUSTIN TX, US
KIMBERLY J. TAFT - AUSTIN TX, US

H04N 21/466
G06Q 30/02
G06N 20/00
H04N 21/2187
H04N 21/45
H04N 21/439
H04N 21/44
H04N 21/845

A method utilizes Artificial Intelligence (AI) system to broadcast a real-time event to a particular broadcast audience. The AI system receives a profile of a particular broadcast audience for a real-time event, and concurrent real-time Audio/Video (/V) streams for a particular portion of the real-time event. The AI system ranks the concurrent real-time A/V streams for the particular portion of the real-time event based on the types of event activities depicted in each of the concurrent real-time A/V streams and the profile of the particular broadcast audience for the real-time event; selects a particular real-time A/V stream, from the concurrent real-time A/V streams, for the particular broadcast audience based on the ranking; and directs a performance of a broadcast action related to the selected particular real-time A/V stream.

2021009, Apr 1, 2021

Sep 26, 2019

16/583742

- Armonk NY, US
Kimberly J. Taft - Austin TX, US
Angelo Danducci, II - Austin TX, US
Devon E. Mensching - Austin TX, US

G06Q 10/08
G06K 9/62
G06K 9/00

In an approach to anonymous inventory tracking, one or more computer processors receive a first image of one or more products from a user. The one or more computer processors remove data associated with an identity of the user from the first image. The one or more computer processors determine that a storage location associated with the one or more products in the first image is detected. The one or more computer processors determine an inventory count of the one or more products in the first image. The one or more computer processors submit the first image and the inventory count of the one or more products in the first image to a blockchain ledger in association with the storage location. The one or more computer processors take an action based on the inventory count.

2021009, Mar 25, 2021

Sep 23, 2019

16/578623

- Armonk NY, US
Angelo Danducci, II - Austin TX, US
Devon E. Mensching - Austin TX, US
Kimberly J. Taft - Austin TX, US

G06T 7/80
H04N 5/232
G06T 7/70
G06K 9/78
G06T 7/50
G06Q 10/08

In an approach to estimating product inventory count, one or more computer processors receive one or more images of one or more products residing on a product storage location from an image capturing device. Based on the received images, one or more computer processors determine a count of the one or more products. One or more computer processors determine a confidence in the count of the one or more products. In response to determining the confidence is below a threshold, one or more computer processors calculate a recommended position of the image capturing device to produce an improved image of the one or more products. One or more computer processors transmit instructions to the image capturing device to move to the recommended position. One or more computer processors determine whether the image capturing device is in the recommended position.

2020040, Dec 24, 2020

Jun 24, 2019

16/450317

- Armonk NY, US
Kimberly J. Taft - Austin TX, US
Devon E. Mensching - Austin TX, US

G06Q 30/06
G06K 9/00

A first type of data regarding an unidentified product is collected. A first type of analysis on the first type of data is performed. A second type of data regarding an unidentified product is collected. A second type of analysis on the second type of data is performed. Based upon the first type of analysis on the first type of data and the second type of analysis on the second type of data, product identification for the unidentified product is performed. Based on the product identification, an identity of the unidentified product is output.

2020040, Dec 24, 2020

Jun 24, 2019

16/450718

- Armonk NY, US
Kimberly J. Taft - Austin TX, US
Devon E. Mensching - Austin TX, US

G06Q 30/06
G06F 16/58
G06K 7/10

A first type of data regarding an unidentified product is collected. A first type of analysis on the first type of data is performed. A second type of data regarding an unidentified product is collected. A second type of analysis on the second type of data is performed. Based upon the first type of analysis on the first type of data and the second type of analysis on the second type of data, product identification for the unidentified product is performed. Based on the product identification, an identity of the unidentified product is output. A user is enabled to perform a business interaction with a product matching the identity of the unidentified product.

2020038, Dec 3, 2020

May 31, 2019

16/427586

- Armonk NY, US
Kimberly J. TAFT - Austin TX, US
Devon E. MENSCHING - Austin TX, US

G06Q 30/02
G06Q 30/06
H04W 4/23
H04W 4/02

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: responsive to a determination that a mobile client computer device is at a location of an item venue, sending to the client computer device prompting data, wherein the client computer device is associated to a user; examining feedback data defined by the user, wherein the feedback data is defined by the user in response to the prompting data; and transmitting to the mobile client computer device second prompting data in dependence on the examining feedback data defined by the user.

2020037, Nov 26, 2020

May 23, 2019

16/420871

- Armonk NY, US
Devon E. Mensching - Austin TX, US
Kimberly J. Taft - Austin TX, US

G06Q 10/08
G06Q 30/06
G06Q 10/04
G06K 9/00

Providing prior-purchase (prior-acquisition) notification determining available storage capacity based on dimensions of total space for storage, dimensions of occupied space for storage, and attributes of available space for storage. Available storage capacity is based on dimensions of total storage capacity and occupied storage space. Identification of a product (item) selected by the user for purchase or acquisition is made. A profile of the product that includes storage requirements is retrieved, and storage requirements include required storage space and storage space attributes. A storage option is determined based on the product selected, the storage requirements of the product selected, and the available storage capacity. A notification recommending a storage option is generated, based on the storage requirements of the product, available storage space, and the attributes of the available storage space, and the notification is sent to a computing device of the user prior to acquiring the product.

2020030, Oct 1, 2020

Mar 25, 2019

16/363738

- Armonk NY, US
Devon E. Mensching - Austin TX, US
Kimberly J. Taft - Austin TX, US

G01N 33/02
G01N 33/00
G01N 31/22
G06Q 30/06
G06T 19/00
G06F 1/16

A computer receives one or more user preferences regarding a product characteristic. The computer performs, using one or more sensors, product testing of a product to gather characteristic data of the product. The computer determines, using the characteristic data of the product, a measured characteristic value of the product. The computer compares the measured characteristic value with an expected characteristic value associated with the one or more user preferences. The computer determines, based on the comparison, a product suitability value for use by a user. The computer outputs, using the product suitability value, an indication whether the product is suitable for use by the user in accordance with the one or more user preferences.