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Michael J Saylor

age ~60

from Miami Beach, FL

Also known as:
  • Michael Jerry Saylor
  • Michael T Saylor
  • Michael Saylor Trs
  • Michael Saylor Revocable Tru
Phone and address:
4821 Pine Tree Dr, Miami, FL 33140
305 989-9176

Michael Saylor Phones & Addresses

  • 4821 Pine Tree Dr, Miami Beach, FL 33140 • 305 989-9176
  • Miami, FL
  • Annapolis, MD
  • Arlington, VA
  • 8000 Towers Crescent Dr STE 1400, Vienna, VA 22182
  • 1861 International Dr STE 200, Mc Lean, VA 22102
  • Tysons Corner, VA
  • Rosemont, IL
  • Wilmington, DE

Us Patents

  • Device And Method For Electron Beam Energy Verification

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  • US Patent:
    8541740, Sep 24, 2013
  • Filed:
    Feb 28, 2011
  • Appl. No.:
    13/036073
  • Inventors:
    Penny Luxich - Stockton NJ, US
    Michael C. Saylor - Vienna VA, US
  • Assignee:
    Ethicon, Inc. - Somerville NJ
  • International Classification:
    G01J 1/00
  • US Classification:
    2503361
  • Abstract:
    The present invention is directed to a device and system for verifying the electron beam kinetic energy spectrum and determining changes in kinetic electron beam energy spectrum that comprises a radiation-absorbing mass defined by a top surface, a bottom surface, and side walls, said mass having at least four separate slots containing one or more of dosimeter strips, wherein said slots are located at different depths within the mass as measured from the top surface of the mass, and said slots are positioned substantially parallel to the top surface of the mass. The present invention also relates to a method of determining and comparing changes in a kinetic electron energy spectrum.
  • Preloading Contextual Information For Applications Using A Conversation Assistant

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  • US Patent:
    20140037075, Feb 6, 2014
  • Filed:
    Dec 31, 2012
  • Appl. No.:
    13/731699
  • Inventors:
    David James Rennyson - Centreville VA, US
    Michael Jerry Saylor - Vienna VA, US
    Ashwini Swaroop Reddy Dulam - Lorton VA, US
    Jonathan Hotz - Reston VA, US
  • Assignee:
    ANGEL.COM - Vienna VA
  • International Classification:
    H04M 3/42
  • US Classification:
    379 8803
  • Abstract:
    Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A service or a product is identified by the remote learning engine based on the accessed usage data. A recommended voice bundle application is determined by the remote learning engine. A recommendation associated with the recommended voice bundle application is transmitted to the telephonic device. The recommendation is presented to the user through voice communications. One or more input parameters associated with the recommended voice bundle application is collected by the telephonic device. The user through voice communications has accepted the recommendation determining is determined. In response to determining that the user has accepted the recommendation, the one or more input parameters to the recommended voice bundle application are loaded by the telephonic device, and the recommended voice bundle application is executed by the telephonic device.
  • Dynamic Adjustment Of Recommendations Using A Conversation Assistant

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  • US Patent:
    20140037076, Feb 6, 2014
  • Filed:
    Dec 31, 2012
  • Appl. No.:
    13/731740
  • Inventors:
    David James Rennyson - Centreville VA, US
    Michael Jerry Saylor - Vienna VA, US
    Ashwini Swaroop Reddy Dulam - Lorton VA, US
    Jonathan Hotz - Reston VA, US
  • Assignee:
    ANGEL.COM - Vienna VA
  • International Classification:
    H04M 3/42
  • US Classification:
    379 8803, 379 8801
  • Abstract:
    Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A first service or a first product is identified by the remote learning engine based on the accessed usage data. A first recommended voice bundle application is determined by the remote learning engine. A recommendation associated with the first recommended voice bundle application is transmitted to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. A response from the user associated with the recommendation is received. In response to determining that the user has not accepted the recommendation, a second service or a second product is determined based on the received response. A second recommended voice bundle application is determined based on the second service. The second recommended voice bundle application is executed by the telephonic device.
  • Dossier Interface And Distribution

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  • US Patent:
    20200007644, Jan 2, 2020
  • Filed:
    Feb 8, 2017
  • Appl. No.:
    15/427874
  • Inventors:
    - Vienna VA, US
    Luis A. Dector - Vienna VA, US
    Yi Du - Tysons Corner VA, US
    Joel Lebrun - Vienna VA, US
    Michael J. Saylor - Vienna VA, US
    Ellen Wang - Vienna VA, US
    Xiaoyin Yang - Great Falls VA, US
    Jingbin Zhang - Great Falls VA, US
  • International Classification:
    H04L 29/08
  • Abstract:
    Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a dossier interface and distributing the dossier are disclosed. In one aspect, a method includes the actions of receiving data identifying one or more documents to include in a dossier. The actions further include receiving a request to share the dossier with a first user. The actions further include providing a link to the dossier. The actions further include receiving a request to modify the dossier. The actions further include storing data that indicates the modification and maintaining the data identifying the one or more documents that represent the dossier. The actions further include receiving, from the first user, a request to share the dossier with a second user. The actions further include providing, to the second user, a link that identifies the dossier and the data that indicates the modification.
  • Voice Enabled Social Artifacts

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  • US Patent:
    20180176162, Jun 21, 2018
  • Filed:
    Feb 14, 2018
  • Appl. No.:
    15/896835
  • Inventors:
    - Daly City CA, US
    David James Rennyson - Centreville VA, US
    Michael Jerry Saylor - Tysons Corner VA, US
  • International Classification:
    H04L 12/58
    G06F 17/30
  • Abstract:
    A user is prompted to select a social site for generating a voice enabled social artifact. A user selection of the social site is received. Responsive to receiving the user selection, information associated with an account of the user on the social site is obtained. The user is prompted to select a social artifact associated with the social site for voice enablement. A user selection of the social artifact is received. The selected social artifact is configured for voice enablement. The selected social artifact is displayed on the social site with an indication that the selected social artifact is voice enabled.
  • Conversation Assistant

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  • US Patent:
    20160135025, May 12, 2016
  • Filed:
    Oct 12, 2015
  • Appl. No.:
    14/881116
  • Inventors:
    - Vienna VA, US
    Prasanna Sajeewa Naleen Perera - Columbia MD, US
    David James Rennyson - Centreville VA, US
    Michael Jerry Saylor - Vienna VA, US
    Ashwini Swaroop Reddy Dulam - Lorton VA, US
    Jonathan Hotz - Reston VA, US
  • International Classification:
    H04W 4/18
    H04M 3/493
    H04W 4/00
    H04M 3/42
  • Abstract:
    Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A service or a product that is likely to be of interest to the user is identified by the remote learning engine based on the accessed usage data. A recommended voice bundle application for the user is determined by the remote learning engine based on the accessed usage data, the recommended voice bundle application being a voice application that, when executed by the telephonic device, results in a simulated multi-step spoken conversation between the telephonic device and the user to enable the user to receive the identified service or the identified product. A recommendation associated with the recommended voice bundle application is transmitted from the remote learning engine to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. The user through voice communications has accepted the recommendation determining is determined by the telephonic device. In response to determining that the user has accepted the recommendation, the recommended voice bundle application on the telephonic device is executed by the telephonic device.
  • Preloading Contextual Information For Applications Using A Conversation Assistant

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  • US Patent:
    20150139410, May 21, 2015
  • Filed:
    Jan 27, 2015
  • Appl. No.:
    14/606659
  • Inventors:
    - Vienna VA, US
    David James Rennyson - Centreville VA, US
    Michael Jerry Saylor - Vienna VA, US
    Ashwini Swaroop Reddy Dulam - Lorton VA, US
    Jonathan Hotz - Reston VA, US
  • International Classification:
    H04M 3/493
    H04M 3/42
  • US Classification:
    379 8801
  • Abstract:
    Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A service or a product is identified by the remote learning engine based on the accessed usage data. A recommended voice bundle application is determined by the remote learning engine. A recommendation associated with the recommended voice bundle application is transmitted to the telephonic device. The recommendation is presented to the user through voice communications. One or more input parameters associated with the recommended voice bundle application is collected by the telephonic device. The user through voice communications has accepted the recommendation determining is determined. In response to determining that the user has accepted the recommendation, the one or more input parameters to the recommended voice bundle application are loaded by the telephonic device, and the recommended voice bundle application is executed by the telephonic device.
Name / Title
Company / Classification
Phones & Addresses
Michael Saylor
President
MicroStrategy Services Corporation
Software Sales And Consulting
1850 Towers Cres Plz, Vienna, VA 22182
Michael J. Saylor
President
MICROSTRATEGY INCORPORATED WHICH WILL DO BUSINESS IN CALIFORNIA AS MSIMICROSTRATEGY INCORPORATED
1850 Towers Cres Plz, Vienna, VA 22182
1861 International Dr, Mc Lean, VA 22102
Michael Saylor
CEO
Alarm.com Inc
Electric Equip & Wiring Merchant Whols
1861 International Dr, Mc Lean, VA 22102
703 848-8600, 703 848-8610
Michael Saylor
CEO
STRATEGY.COM INC
Computer Sales
1861 International Dr, Mc Lean, VA 22102
703 848-8600, 703 848-8610
Michael Saylor
CEO
Micro Strategy Inc
Investment Management · Computer Sales
1861 International Dr, Mc Lean, VA 22102
1850 Towers Cres Plz, Vienna, VA 22182
703 848-8600, 703 848-8610
Michael J Saylor
Managing
USHER MARINE SERVICES, LLC
Help Supply Services
4821 Pinetree Dr, Miami Beach, FL 33140
326 1 St STE 403, Annapolis, MD 21403
Michael J. Saylor
President
MICROSTRATEGY INCORPORATED
8000 Towers Cres Dr, Vienna, VA 22182
Michael J Saylor
Secretary, President, Chairman
MicroTechnologies LLC
Information · Data Processing, Hosting, and Related Services · Other Information Services · Software Sales & Services · Software Sales And Consulting · Providing It Services/products To Federal Gov/added Value Resell · Information Retrieval Services Prepackaged Software Services · Prepackaged Software Services Information Retrieval Services
8330 Boone Blvd STE 600, Vienna, VA 22182
1850 Towers Cres Plz, Vienna, VA 22182
209 W Washington St, Charleston, WV 25302
2338 W Royal Palm Rd STE J, Phoenix, AZ 85021
703 891-1073

Resumes

Michael Saylor Photo 1

Michael Saylor

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Michael Saylor Photo 2

Letter Carrier

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Work:
United States Postal Service
Letter Carrier
Education:
Crestview High School 1969 - 1972
Michael Saylor Photo 3

Michael Saylor

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Michael Saylor Photo 4

Michael Saylor

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Michael Saylor Photo 5

Michael Saylor

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Michael Saylor Photo 6

Michael Saylor

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Michael Saylor Photo 7

Michael Saylor

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Location:
United States

News

Bitcoin Rewards App Fold Volatile In Wall Street Debut

Bitcoin Rewards App Fold Volatile in Wall Street Debut

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  • Fold is the latest addition of publicly traded companies with bitcoin (BTC) on its balance sheet, following the footsteps of Michael Saylor's Strategy and smaller companies like Semler Scientific and Metaplanet. Fold holds 1,000 BTC, worth $96 million at current prices, according to public filings.
  • Date: Feb 19, 2025
  • Category: Business
  • Source: Google
Coinbase Ceo Says Each Bitcoin Will Be Worth 'Multiple Millions' Some Day

Coinbase CEO Says Each Bitcoin Will Be Worth 'Multiple Millions' Some Day

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  • Armstrong is hardly alone in the high-stakes prediction game. MicroStrategy's Michael Saylor, whose company holds 461,000 Bitcoin worth over $49 billion, went even further. The tech entrepreneur forecasted in September that Bitcoin could hit $13 million per coin over the next 21 years.
  • Date: Jan 21, 2025
  • Category: Business
  • Source: Google
Microstrategy Boosts Bitcoin Stash Above $46 Billion With Latest Buy

MicroStrategy Boosts Bitcoin Stash Above $46 Billion With Latest Buy

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  • The firms co-founder and executive chairman, Michael Saylor, claims that the asset is the best way to preserve wealth and get returns for shareholders, as opposed to buying gold, real estate, or tech stocks.
  • Date: Dec 16, 2024
  • Category: Business
  • Source: Google
Microstrategy Raises Convertible Note Offering To $2.6 Billion

MicroStrategy Raises Convertible Note Offering to $2.6 Billion

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  • The Tysons Corner, Virginia-based firm has been focused on becoming a Bitcoin treasury company. MicroStrategy co-founder Michael Saylor said on an October call with analysts that the company plans to accelerate its treasury operations and acquire Bitcoin continually with the goal of having 1.5 times
  • Date: Nov 20, 2024
  • Category: Business
  • Source: Google
Microstrategy Stock Climbs After Bitcoin Purchase: Here's How Much Btc Michael Saylor's Company Now Holds

MicroStrategy Stock Climbs After Bitcoin Purchase: Here's How Much BTC Michael Saylor's Company Now Holds

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  • What Happened: MicroStrategy announced Friday it acquired 18,300 Bitcoin between Aug. 6 and Sept. 12. The announcement comes days after MicroStrategy Executive Chairman Michael Saylor highlighted the company's outperformance compared to all the S&P 500 companies.
  • Date: Sep 13, 2024
  • Category: Business
  • Source: Google
2 Magnificent Stock-Split Stocks To Buy Hand Over Fist In September, And 2 That Are Priced For Perfection And Worth Avoiding

2 Magnificent Stock-Split Stocks to Buy Hand Over Fist in September, and 2 That Are Priced for Perfection and Worth Avoiding

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  • Another reason to shy away from MicroStrategy has to do with how the company is financing its Bitcoin purchases. With minimal positive operating cash flow generated from its software segment, CEO Michael Saylor has overseen a number of convertible-debt offerings to fund its acquisition of Bitcoin. I
  • Date: Sep 02, 2024
  • Category: Business
  • Source: Google
Microstrategy Just Bought Another $786 Million In Bitcoin

MicroStrategy Just Bought Another $786 Million in Bitcoin

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  • MicroStrategy, the American software firm co-founded by Bitcoin maximalist Michael Saylor, was already the largest institutional holder of the worlds top cryptocurrency by some distance. This recent move only widens its lead.
  • Date: Jun 20, 2024
  • Category: Business
  • Source: Google
Microstrategy Stock Dives As Investors Weigh Steep Q1 Loss (Nasdaq:mstr)

MicroStrategy stock dives as investors weigh steep Q1 loss (NASDAQ:MSTR)

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  • The business intelligence company, run by bitcoin (BTC-USD) advocate Michael Saylor, did not opt for early adoption of new accounting rules whereby MSTR could recognize any gains in its bitcoin holdings. Instead, it stuck to current requirements and recorded a digital asset impairment loss of $191.6
  • Date: Apr 30, 2024
  • Category: Business
  • Source: Google

Googleplus

Michael Saylor Photo 8

Michael Saylor

Work:
Kentucky Department of Corrections - Corrections Officer (2007-2011)
Education:
Delta College - Computer Science - Software Engineering
Michael Saylor Photo 9

Michael Saylor

Michael Saylor Photo 10

Michael Saylor

Michael Saylor Photo 11

Michael Saylor

Michael Saylor Photo 12

Michael Saylor

Michael Saylor Photo 13

Michael Saylor

Michael Saylor Photo 14

Michael Saylor

Michael Saylor Photo 15

Michael Saylor


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