Corporate Capability Statements
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| Publicado no: | Signal vol. 74, no. 2 (Oct 2019), p. 51 |
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| Autor principal: | |
| Publicado em: |
Armed Forces Communications and Electronics Association
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| Assuntos: | |
| Acesso em linha: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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| 100 | 1 | |a Anonymous | |
| 245 | 1 | |a Corporate Capability Statements | |
| 260 | |b Armed Forces Communications and Electronics Association |c Oct 2019 | ||
| 513 | |a General Information | ||
| 520 | 3 | |a The company's proprietary and patented automatic speech recognition (ASR) with deep neural network, machine learning, artificial intelligence and natural language processing and understanding is used worldwide by government organizations, media agencies, call centers, leading financial, insurance, e-commerce, news media and entertainment enterprises, and countless others who have a need to unlock the value in their audio and video assets. Products/Services: UI/UX; agile methodologies; collaborative tools; web apps and interfaces; computer network defense; information assurance; certification and accreditation; enterprise services; data and network management; operations and maintenance; data center operations; digital transformation; processing and archiving; and intelligence production and analysis. Products/Services: Enterprise architecture strategy, assessment and design; information technology (IT) modernization; information system design; emerging technologies; big data; IT strategy and planning; IT on-demand services and outsourcing; design and implement complex enterprise software architecture; software, development and implementation; rapid application development; project management; portfolio analysis; business intelligence; and configuration management. | |
| 610 | 4 | |a Eaton Corp Environmental Protection Agency--EPA Peace Corps Microsoft Corp Patent & Trademark Office Federal Bureau of Investigation--FBI Department of the Navy Interpol Department of the Army United Parcel Service of America | |
| 651 | 4 | |a United States--US | |
| 651 | 4 | |a Washington DC | |
| 651 | 4 | |a Texas | |
| 653 | |a Computer architecture | ||
| 653 | |a Websites | ||
| 653 | |a User interfaces | ||
| 653 | |a Machine learning | ||
| 653 | |a Data centers | ||
| 653 | |a Architectural engineering | ||
| 653 | |a Voice recognition | ||
| 653 | |a Software | ||
| 653 | |a New technology | ||
| 653 | |a Maintenance | ||
| 653 | |a Configuration management | ||
| 653 | |a Applications programs | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Intelligence gathering | ||
| 653 | |a Systems design | ||
| 653 | |a Speeches | ||
| 653 | |a Presidents | ||
| 653 | |a Machine translation | ||
| 653 | |a Intelligence (information) | ||
| 653 | |a Modernization | ||
| 653 | |a Web sites | ||
| 653 | |a Neural networks | ||
| 653 | |a Archiving | ||
| 653 | |a Project management | ||
| 653 | |a Records management | ||
| 653 | |a Information technology | ||
| 653 | |a Information management | ||
| 653 | |a Natural language processing | ||
| 653 | |a Automatic speech recognition | ||
| 653 | |a News media | ||
| 653 | |a Computer networks | ||
| 653 | |a Call centers | ||
| 653 | |a Customer services | ||
| 653 | |a Portfolio management | ||
| 653 | |a Small business | ||
| 653 | |a Big Data | ||
| 653 | |a Preventive maintenance | ||
| 773 | 0 | |t Signal |g vol. 74, no. 2 (Oct 2019), p. 51 | |
| 786 | 0 | |d ProQuest |t Telecommunications Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2307956592/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2307956592/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2307956592/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |