#AI & #Sporting #Stock
News: GBT’s (OTCPK: $GTCH) GBT Tokenize Corp. Completed
Phase One of its Intelligent #Soccer Games Analytics and Score Prediction Platform;
#ArtificialIntelligence
SAN
DIEGO, CA June 27, 2022 --(Investorideas.com Newswire) GBT Tokenize Corp. (“GTC”),
a joint venture that is 50% owned by GBT Technologies Inc. (OTC PINK: GTCH)
("GBT” or the “Company”), completed phase one of its intelligent soccer analytics
platform. The Company targets AI practical applications evaluations in various
domains through its subsidiary companies and joint ventures. GTC is evaluating intelligent solutions, based
on the Company’s AI technology, in the field of entertainment, media and
sports. GTC hired a development team that are experts in soccer sport
statistics and analysis domains for the purpose of developing a software system
for GTC, project’s internal code name: smartGOAL.
Read
this in full at https://www.investorideas.com/CO/GOPH/news/2022/06271smartGOAL-Soccer-Games.asp
The
smartGOAL program is an intelligent, automatic analytics and prediction system
for soccer game’s results. The program analyzes and predicts possible outcomes
of soccer games results according to permutations, statistics, historical data,
using advanced mathematical methods and machine learning technology. The
program downloads ratios and forecasted soccer games results from expert
websites including probabilities, estimations and statistics, taking into
account heuristic-based assumptions in order to analyze and predict soccer
game’s outcomes. smartGOAL program is aimed for soccer game’s results cognitive
study, analysis, applying deep learning algorithms, big data models and
mathematical techniques. Heuristic algorithms work with betting lines as they
represent market price for each result and in a sense provide a “crowd wisdom”,
analyzing the data like an expert human would do. The program maximizes results using hybrid strategies
of integration, Monte-Carlo simulation and regression-based errors correction. smartGOAL seeks to optimize results for
certain level of variation, according to operator choice, maintaining
historical data with their analytics. Machine learning-driven predictions data is
produced based on historical information, ongoing public league team’s data and
advanced mathematical models analysis. GTC plans to further implement GBT’s AI
technology into this domain enabling intelligent solutions in the sport sector.
“Considering
the popularity of the game in the present world, we believe organizations will
be interested in in prediction systems for the better performance of their
teams. As interesting as it may seem,
prediction of the results of a soccer game is a very hard task and involves a
large amount of uncertainty. However, it
can be said that the result of football is not a completely random event, and
hence, we believe a few hidden patterns in the game can be utilized to potentially
predict the outcome. Based on the
studies of numerous researchers that is being reviewed in our study as well as
of those done in the previous years, one can say that with a sufficient amount
of data an accurate prediction system can be built using various machine
learning algorithms. While each
algorithm has its advantages and disadvantages, a hybrid system that consists
of more than one algorithm can be made with the goal of increasing the
efficiency of the system as a whole. There also is a need for a comprehensive
dataset through which better results can be obtained. Experts can work more
toward gathering data related to different leagues and championships across the
globe which may help in better understanding of the prediction system.
Moreover, the distinctive characteristics of a soccer player, as well as that
of the team, can also be taken into consideration while predicting as this may
produce a better result as compared to when all the players in a game are
treated to be having an equal effect on the game. The more information the
system is trained with, we believe the more accurate the predictions and
analysis will be. One of our joint venture companies, GTC aimed to evaluate
machine learning-driven applications in various fields, among them are
entertainment, media and sports. We believe smartGOAL is an intelligent
application that has the ability to change the world’s soccer field when it
comes to analytics and game score predictions,” provided Danny Rittman, the
Company’s CTO.
There
is no guarantee that the Company will be successful in researching, developing
or implementing this system. In order to
successfully implement this concept, the Company will need to raise adequate capital
to support its research and, if successfully researched, developed and granted
regulatory approval as needed, the Company would need to enter into a strategic
relationship with a third party that has experience in manufacturing, selling
and distributing this product. There is
no guarantee that the Company will be successful in any or all of these
critical steps.
About Us
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com)
is a development stage company which considers itself a native of Internet of
Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology
Platforms used to increase IC performance. GBT has assembled a team with
extensive technology expertise and is building an intellectual property
portfolio consisting of many patents. GBT’s mission, to license the technology
and IP to synergetic partners in the areas of hardware and software. Once
commercialized, it is GBT’s goal to have a suite of products including smart
microchips, AI, encryption, Blockchain, IC design, mobile security
applications, database management protocols, with tracking and supporting cloud
software (without the need for GPS). GBT envisions this system as a creation of
a global mesh network using advanced nodes and super performing new generation
IC technology. The core of the system will be its advanced microchip
technology; technology that can be installed in any mobile or fixed device
worldwide. GBT’s vision is to produce this system as a low cost, secure,
private-mesh-network between any and all enabled devices. Thus, providing
shared processing, advanced mobile database management and sharing while using
these enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain
statements contained in this press release may constitute "forward-looking
statements". Forward-looking statements provide current expectations
of future events based on certain assumptions and include any statement that
does not directly relate to any historical or current fact. Actual results may
differ materially from those indicated by such forward-looking statements as a
result of various important factors as disclosed in our filings with the
Securities and Exchange Commission located at their website ( http://www.sec.gov). In addition to these factors,
actual future performance, outcomes, and results may differ materially because
of more general factors including (without limitation) general industry and
market conditions and growth rates, economic conditions, governmental and
public policy changes, the Company’s ability to raise capital on acceptable
terms, if at all, the Company’s successful development of its products and the
integration into its existing products and the commercial acceptance of the
Company’s products. The forward-looking statements included in this press
release represent the Company's views as of the date of this press release and
these views could change. However, while the Company may elect to update
these forward-looking statements at some point in the future, the Company
specifically disclaims any obligation to do so. These forward-looking
statements should not be relied upon as representing the Company's views as of
any date subsequent to the date of the press release.
Contact:
Dr.
Danny Rittman, CTO
press@gopherprotocol.com
GBT
Technologies Inc. (OTCQB:GTCH) is a featured tech stock on
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