AI to Add Trillions
May 14, 2019 -- InvestorsHub NewsWire -- Microcap Speculators -- As per PwC’s latest report “Sizing the price. What’s the real value of AI for your business and how can you capitalise”, artificial intelligence is expected to add $15.7 trillion to the global economy by 2030. That’s why we’re highlighting Gopher Protocol Inc. (USOTC: GOPH), an AI company who has started 2019 off with a bang. The company released their AI enabled app based on modern AI technologies including Deep Neural Network (DNN), vectorization and other advanced methodologies enabling usage for wide variety of applications. The company’s Avant! AI system is currently implementing innovative Machine Learning (ML) methods within the system that will allow advanced classification and problem solving. This is big because Avant! will be able to recognize user's intent, distinguish between different data and analyze user's sentiment.
The company just released huge news that it has added NLP (Natural Language Processing), speech recognition support to its Avant! AI mobile app. That’s the same type of tech that make’s Amazon’s Alexa and Google Assistant so popular!
The company also successfully completed testing on their Alpha version of its global mesh network technology platform GopherInsight™ which is the company’s IoT component. This unique combination of AI and IoT opportunities in one stock is the kind of thing big time investors salivate over, so start your research on GOPH.
Today we are highlighting: Gopher Protocol Inc. (USOTC: GOPH), NVIDIA Corporation (NASDAQ: NVDA), Five9, Inc. (FIVN), Splunk Inc (NASDAQ: SPLK), and Salesforce.com, Inc. (NYSE: CRM).
Gopher Protocol Inc. (USOTC: GOPH) (Market Cap: $25.963M; Share Price: $0.122) recently released a technology review that was filed as an exhibit to a Form 8-K with the SEC. - https://www.sec.gov/Archives/edgar/data/1471781/000173112219000209/0001731122-19-000209-index.htm
The Technology Review provides an overview of GopherInsight™, AVANT! AI, Robotic Research, gNet and GopherInsight – 5G and walks the reader through developed and completed systems to potentially upcoming systems from a technology point of view.
GOPH’s Avant! AI mobile app is synchronized with the Avant! AI web application (www.avant-ai.net) and is equipped with personalization and additional features to make it a handy artificial general intelligence (AGI) agent for the benefit of users. Avant! AI is an artificial intelligence system that is capable of processing vast amounts of data efficiently and quickly. Avant! AI is based on modern AI technologies including Deep Neural Network (DNN), vectorization and other advanced methodologies enabling usage for wide variety of applications. The current release of Avant! AI is targeting AGI to perform information search and retrieval. The new mobile application enables question/answer capability for general topics. Avant! AI searches for online information, sorting out the best answer and recording it under a personal account. The system keeps a history of any user's question/answer data for future use and includes a search mechanism to retrieve previous topics.
The company’s GopherInsight™ global mesh network technology platform for both mobile and fixed solutions was tested in both laboratory and outdoor conditions, and all tests were successful. "We are glad to announce the completion of our MESH system, Alpha version. The system has successfully passed all lab and field testing as scheduled with satisfactory results," commented Danny Rittman, Gopher’s Chief Technology Officer. "The tests covered essential topics that included hardware and software to ensure high performance and reliable features and characteristics.”
Mr. Rittman continued, “We used a mobile app to visualize results and to produce vital data like nodes/gateways range, GEO location and coverage area. The system was tested both outdoors and indoors. This data will be used to debug the Alpha version and initiate any changes or modifications that may be needed to produce a Beta version with the goal of ensuring commercial standards. We are already evaluating real-life projects to be a case study for our MESH system, which will use prototypes in real-life situations. The study will cover the system's GEO tracking, emergency alerts and further advanced capabilities." The next step to be taken by Gopher in this process is to optimize its Alpha version in order to proceed to Beta. Gopher is already evaluating potential projects as commercial application case study opportunities.
Also, in April ’19, it announced it has received an International Search Report and Written Opinion pertaining to its Gopher Radio Token application from the International Searching Authority under the Patent Cooperation Treaty. All claims under the Opinion have been found to be novel and have "inventive step" (i.e., to be non-obvious). Gopher intends to use its Avant! AI technology to govern security and vast data processing for the GRT. This opens an entire world of possibilities that are enabled by a powerful artificial intelligence system.
NVIDIA Corporation (NASDAQ: NVDA) (Market Cap: $96.416B; Share Price: 158.45) is using AI by operating in two segments, graphics processing unit, or GPUs, and Tegra Processor– the most powerful tablet-form factor chip in the market today. Nvidia’s AI chips are also used in cloud computing; tech giants like Google and Facebook use Nvidia’s platform to power the AI features on their platforms. An increasing number of self-driving customers including Audi, Mercedes Benz, Toyota and Tesla (TSLA) are also using Nvidia DRIVE car technology to teach self-driving cars to see, think, and learn. It recently announced a collaboration with American College of Radiology to enable thousands of radiologists nationwide to create and use AI for diagnostic radiology in their own facilities, using their own data, to meet their own clinical needs.
NVIDIA Corporation operates as a visual computing company worldwide. It operates in two segments, GPU and Tegra Processor. The GPU segment offers processors, which include GeForce for PC gaming and mainstream PCs; GeForce NOW for cloud-based game-streaming service; Quadro for design professionals working in computer-aided design, video editing, special effects, and other creative applications; Tesla for artificial intelligence (AI) utilizing deep learning, accelerated computing, and general purpose computing; GRID, which provides power of NVIDIA graphics through the cloud and datacenters; DGX for AI scientists, researchers, and developers; and cryptocurrency-specific graphics processing units.
Its invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Five9, Inc. (FIVN) (Market Cap: $2.836B; Share Price: $47.52) reported results for the fourth quarter and full year ended December 31, 2018 in February. For the three months ended December 31st, 2018 vs December 31st, 2017, Five9 reported revenue of $72.34MM vs $55.40MM (up 30.56%) and analysts estimated basic earnings per share $0.07 vs -$0.01. For the twelve months ended December 31st, 2018 vs December 31st, 2017, Five9 reported revenue of $257.66MM vs $200.23MM (up 28.69%) and analysts estimated basic earnings per share -$0.00 vs -$0.16. It announced that it will release financial results for the first quarter 2019 ended March 31, 2019 following the close of market on Wednesday, May 1, 2019. Reported EPS for the same quarter last year was -$0.01. The estimated EPS forecast for the next fiscal year is $0.05 and is expected to report on February 18th, 2020.
It is currently using AI. As a provider of cloud software for contact centers, Five9 is developing a self-learning AI contact center platform, such as the Five9 Genius, that delivers intelligent routing using non pre-defined data models from a number of information channels to derive customer intent. Five9 currently claims more than 2,000 customers worldwide and over 3 billion customer interactions annually. The company announced partnership with search giant Google on AI contact center software last year.
Splunk Inc (NASDAQ: SPLK) (Market Cap: $19.05B; Share Price: $126.86) recently filed its latest 10-K with SEC for the fiscal year ended on January 31, 2019. Splunk Inc provides software products. Its flagship product is Splunk Enterprise and at its core is a proprietary machine data engine, comprised of collection, indexing, search, reporting analysis and data management capabilities.
Recently, it announced that announced that the Orbis Partnership is using its Splunk® Enterprise and Splunk Enterprise Security (ES) products to protect itself from cyber-attacks. Orbis, a partnership which brings together three local councils in Southeast England, spans across 550 sites and delivers services including finance, procurement and human resources to over 20,000 users.
Splunk is involved in Artificial Intelligence and the strength of Splunk’s AI platform lies in its ability to deal with unstructured data for IT and security. Using machine learning, the company’s IT Service Intelligence (ITS), a monitoring and analytics solution that combines big data and AI functionality, detects, flags and prevents possible anomalies before they impact revenue and customer experience. ITS also makes predictions giving organizations visibility across IT and business services and applications. According to Gartner's ITOM Performance Analysis: AIOps, ITIM and Other Monitoring Tools, Splunk is ranked No. 2 with 13.7% market share after IBM. Third-highest market share is Microsoft with 8.3%.
Salesforce.com, Inc. (NYSE: CRM) (Market Cap $118.656B; Share Price: $153.15) offered cloud-based solutions for customer relationship management (CRM) before "the cloud" was part of the mainstream lexicon or even tech jargon. The company now sports a $125 billion market cap, achieved in large part by pioneering the software-as-a-service (SaaS) business model. And even after gaining all its wisdom from being around so long, the company still refuses to act its age.
Take, for instance, its involvement with AI. It currently dominates 20% personalized Customer Relationship Management software and tools; a dominance that is the direct result of Salesforce’s platform Einstein AI, Salesforce Customer 360, and Salesforce Lightning platforms. According to the company’s published 4Q and FY 2019 (ended January 2019) results, Einstein AI, after using of all the data in Salesforce—customer data, can deliver more than 6 billion predictions every day. Last week, it announced that Audi Germany is pooling its expertise in the area of e-mobility with Salesforce to deliver smart, personalized customer engagement throughout the entire customer lifecycle. It also announced new Einstein services that enable admins and developers to build custom artificial intelligence — all with just a few clicks or a single line of code.
This article was written by Regal Consulting, LLC (“Regal Consulting”). Regal Consulting has agreed to a two-month term consulting agreement with GOPH dated 12/31/18. The agreement calls for $100,000 in cash per month, and zero shares. Regal and GOPH have agreed to amend the current agreement, and extend contract period for six months and increase the stock compensation to 50,000 restricted 144 shares of GOPH per month. All payments were made directly by Gopher Protocol, Inc. to Regal Consulting, LLC. to provide investor relations services, of which this article is a part of. Regal Consulting also paid one thousand dollars cash to microcapspeculators.com to distribute this article. Regal Consulting may have a position in the securities mentioned in this article at the time of publication, and may increase or decrease its position without notice. This article is based on public information and the opinions of Regal Consulting. GOPH was given an opportunity to edit this article. This article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any results predicted herein. Regal Consulting is not registered with any financial or securities regulatory authority, and does not provide or claim to provide investment advice.
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