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Benjamin C Randall

from Lago Vista, TX
Age ~24
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Related to:
Joshua D Randall, 62Jeffery S Courtney, 57Marilyn R Music, 70
Connected to:
Adeline Randall, 100Antoinette Randallsmith, 46Bennie G Randall, 91Beverly W Randalls, 62Blaine A Randall, 59Blaise R Randall, 40Broc J Randall, 35Cedric G Randall, 64Cleta M Randall, 94Corrie E Randall, 44

Benjamin Randall Phones & Addresses

  • Lago Vista, TX
  • Austin, TX

Specialities

Products Liability • Toxic Torts • Insurance Defense • Complex Litigation

Professional Records

Lawyers & Attorneys

Benjamin Randall Photo 1

Benjamin Randall - Lawyer

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Specialties:
Products Liability
Toxic Torts
Insurance Defense
Complex Litigation
ISLN:
916949110
Admitted:
2002
University:
Villanova University, B.A., 1997
Law School:
Temple University Beasley School of Law, J.D., 2002

Resumes

Resumes

Benjamin Randall Photo 2

Benjamin Randall

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Location:
United States
Benjamin Randall Photo 3

Benjamin Randall

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Location:
United States

Business Records

Name / Title
Company / Classification
Phones & Addresses
Benjamin A. Randall
BENJAMIN A. RANDALL, ESQ., LLC
Benjamin A. Randall
GRENWICK PROPERTY MANAGEMENT, LLC
Benjamin A. Randall
GRENWICK PROPERTY HOLDINGS, LLC
Benjamin Randall
KARLA RANDALL MINISTRIES

Publications

Us Patents

Machine Learning For Determining Confidence For Reclamation Of Storage Volumes

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US Patent:
20190311293, Oct 10, 2019
Filed:
Jun 23, 2019
Appl. No.:
16/449418
Inventors:
- Armonk NY, US
Andrew J. Laforteza - Austin TX, US
Ryan D. Mcnair - Austin TX, US
Benjamin J. Randall - Fort Collins CO, US
Teresa S. Swingler - Tucson AZ, US
International Classification:
G06N 20/00
G06F 3/06
Abstract:
A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set for storage volume reclamation contains sets of storage parameters for storage volumes and corresponding user decisions whether the storage volumes are reclaimable. The training set is used to train a machine learning system to recognize reclaimable candidate storage volumes. The trained machine learning system is used to determine that a candidate storage volume for reclamation is likely a reclaimable storage volume.

Machine Learning For Determining Confidence For Reclamation Of Storage Volumes

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US Patent:
20170351968, Dec 7, 2017
Filed:
Jun 3, 2016
Appl. No.:
15/173562
Inventors:
- Armonk NY, US
Andrew J. Laforteza - Austin TX, US
Ryan D. Mcnair - Austin TX, US
Benjamin J. Randall - Fort Collins CO, US
Teresa S. Swingler - Tucson AZ, US
International Classification:
G06N 99/00
G06F 3/0481
G06F 3/06
Abstract:
A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set includes a set of storage parameters, each set of storage parameters corresponds to a respective candidate storage volume of a set of candidate storage volumes. The training set also includes a set of user decisions made whether a respective candidate storage volume is reclaimable. The training set is used to train a machine learning system to recognize common features of reclaimable candidate storage volumes. A set of candidate storage volumes is provided for potential reclamation, each with a set of storage parameters. A graphical user interface presents respective members of the set of candidate storage volumes for reclamation if a confidence level is calculated that the respective candidate storage volume is reclaimable exceeds a threshold.
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Benjamin C Randall from Lago Vista, TX, age ~24 Get Report