{"id":383918,"date":"2020-11-18T08:08:12","date_gmt":"2020-11-18T13:08:12","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=383918"},"modified":"2020-11-18T08:08:12","modified_gmt":"2020-11-18T13:08:12","slug":"rignet-signs-multi-year-agreement-to-provide-intelies-machine-learning-platform-for-fracing-and-drilling-operations","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/rignet-signs-multi-year-agreement-to-provide-intelies-machine-learning-platform-for-fracing-and-drilling-operations\/","title":{"rendered":"RigNet Signs Multi-Year Agreement to Provide Intelie’s Machine Learning Platform for Frac’ing and Drilling Operations"},"content":{"rendered":"
\n

One of the largest shale-focused exploration and production companies chooses RigNet’s Intelie Live platform to drive optimum performance<\/h2>\n

PR Newswire<\/p>\n<\/p><\/div>\n

\n

\n HOUSTON<\/span>, Nov. 18, 2020<\/span> \/PRNewswire\/ — RigNet, Inc.\u00a0(NASDAQ: RNET), the leading provider of ultra-secure satellite communications and intelligent networking solutions, announced today that it has been awarded a multi-year contract with a premier independent exploration and production company focused on the Permian Basin.\u00a0 The contract brings Intelie’s suite of AI-backed real-time machine learning solutions and software to this operator after a series of proof of value campaigns demonstrating its ability to support a broad array of digitalization initiatives and deliver best-in-class operational results.<\/p>\n

\n

\n
\n \"RigNet
\n <\/a>\n <\/p>\n<\/p><\/div>\n

Intelie’s machine learning analytics platform, Intelie Live, will be used to increase operational efficiency and improve overall financial performance. \u00a0Intelie Live’s real-time analytics capability assists in the decision making process throughout the drilling and completion process, enabling operators to deliver wells that cost less and produce more.\u00a0 <\/p>\n

“Our proven track record of rapidly delivering high-value solutions and critical improvements to our clients’ daily operations is what differentiates Intelie from other software companies.” said Lelio Souza<\/span>, CEO of Intelie, a wholly owned subsidiary of RigNet.\u00a0 “Intelie Live accelerates our customers’ digital transformation implementation and provides live, real-time information allowing operators to maximize productivity, improve safety, and reduce environmental impacts. By using this robust and flexible platform, they can also add new machine learning apps to even further capitalize on the power of AI-backed machine learning.”<\/p>\n

\n About<\/b>
\n \u00a0<\/b>
\n RigNet, Inc.:
<\/b>RigNet\u00a0(NASDAQ: RNET) delivers advanced software and communications infrastructure that allow our customers to realize the business benefits of digital transformation. With world-class, ultra-secure solutions spanning IP connectivity, bandwidth-optimized Over-the-Top applications, Industrial-IoT big-data enablement, and industry-leading machine learning analytics, RigNet supports the full evolution of digital enablement, empowering businesses to respond faster to high priority issues, mitigate the risk of operational disruption, and maximize their overall financial performance.\u00a0RigNet\u00a0is headquartered in\u00a0Houston, Texas\u00a0with operations around the world. For more information, please visit\u00a0http:\/\/www.rig.net<\/a>.<\/p>\n

\n Forward Looking Statements
<\/b>This press release includes “forward-looking statements” within the meaning of the safe harbor provisions of the United States Private Securities Litigation Reform Act of 1995 \u2013 that is, statements related to the future, not past, events.\u00a0 Forward-looking statements are based on the current expectations and include any statement that does not directly relate to a current or historical fact.\u00a0 Our ability to deliver services and enable our customer’s efficiency, financial results, and saftey are examples of forward looking statements and contain words such as “anticipate,” “believe,” “intend,”, “will”, “expect,” “plan” or other similar words.\u00a0 These forward-looking statements involve certain risks and uncertainties, including those risks set forth in Item 1A \u2013 Risk Factors of the Company’s most recent 10-K filing and quarterly 10-Q filings, and ultimately may not prove to be accurate.\u00a0 Actual results and future events could differ materially from those anticipated in such statements.\u00a0 For further discussion of risks and uncertainties, individuals should refer to RigNet’s SEC filings. RigNet undertakes no obligation and does not intend to update these forward-looking statements to reflect events or circumstances occurring after this press release.\u00a0 You are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of this press release.\u00a0 All forward-looking statements are qualified in their entirety by this cautionary statement.<\/p>\n

<\/div>\n

\n \"Cision\" View original content to download multimedia:http:\/\/www.prnewswire.com\/news-releases\/rignet-signs-multi-year-agreement-to-provide-intelies-machine-learning-platform-for-fracing-and-drilling-operations-301175122.html<\/a><\/p>\n

SOURCE RigNet, Inc.<\/p>\n<\/p><\/div>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

One of the largest shale-focused exploration and production companies chooses RigNet’s Intelie Live platform to drive optimum performance PR Newswire HOUSTON, Nov. 18, 2020 \/PRNewswire\/ — RigNet, Inc.\u00a0(NASDAQ: RNET), the leading provider of ultra-secure satellite communications and intelligent networking solutions, announced today that it has been awarded a multi-year contract with a premier independent exploration and production company focused on the Permian Basin.\u00a0 The contract brings Intelie’s suite of AI-backed real-time machine learning solutions and software to this operator after a series of proof of value campaigns demonstrating its ability to support a broad array of digitalization initiatives and deliver best-in-class operational results. Intelie’s machine learning analytics platform, Intelie Live, will be used to increase operational efficiency and improve overall … <\/p>\n

Continue reading “RigNet Signs Multi-Year Agreement to Provide Intelie’s Machine Learning Platform for Frac’ing and Drilling Operations”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-383918","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nRigNet Signs Multi-Year Agreement to Provide Intelie's Machine Learning Platform for Frac'ing and Drilling Operations - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/rignet-signs-multi-year-agreement-to-provide-intelies-machine-learning-platform-for-fracing-and-drilling-operations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"RigNet Signs Multi-Year Agreement to Provide Intelie's Machine Learning Platform for Frac'ing and Drilling Operations - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"One of the largest shale-focused exploration and production companies chooses RigNet’s Intelie Live platform to drive optimum performance PR Newswire HOUSTON, Nov. 18, 2020 \/PRNewswire\/ — RigNet, Inc.\u00a0(NASDAQ: RNET), the leading provider of ultra-secure satellite communications and intelligent networking solutions, announced today that it has been awarded a multi-year contract with a premier independent exploration and production company focused on the Permian Basin.\u00a0 The contract brings Intelie’s suite of AI-backed real-time machine learning solutions and software to this operator after a series of proof of value campaigns demonstrating its ability to support a broad array of digitalization initiatives and deliver best-in-class operational results. 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