The
#AIEye Episode 391: Halliburton (NYSE: $HAL) Enters Five-Year Agreement with
Accenture (NYSE: $ACN), Microsoft (NasdaqGS: $MSFT) for Digital Advancement; Veritone (NasdaqGM: $VERI) Sees Rapid Adoption
of AI-Enabled Public Safety Solutions
Global
Machine Learning Market to Reach $117.19 Billion by 2027
Point Roberts WA, Vancouver BC – July 17, 2020 – Investorideas.com (www.investorideas.com), a global investor news source covering
Artificial Intelligence (AI) brings you today’s edition of The
AI Eye- watching stock news, deal
tracker and advancements in artificial intelligence.
Listen
to today’s podcast:
Read
this in full at https://www.investorideas.com/news/2020/artificial-intelligence/07171AIEye-HAL-ACN-MSFT.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (NYSE:HAL) (NYSE:ACN) (NasdaqGS:MSFT) (NasdaqGM:VERI)
Halliburton (NYSE:HAL) has entered into a five-year strategic agreement
with Accenture (NYSE:ACN) and Microsoft (NasdaqGS:MSFT)
with the aim of advancing its digital capabilities in Microsoft Azure.
According to the press release, this will complete Halliburton’s move to
“cloud-based digital platforms,” and implement improvements such as: “enhancing
real-time platforms for expanded remote operations, and improving analytics
capability with the Halliburton Data Lake utilizing machine learning and
artificial intelligence.” Jeff Miller, Halliburton chairman, president &
CEO, explained:
"The
strategic agreement with Microsoft and Accenture is an important step in our
adoption of new technology and applications to enhance our digital
capabilities, drive additional business agility and reduce capital
expenditures. We are excited about the benefits our customers and employees
will realize through this agreement, and the opportunity to further leverage
our open architecture approach to software delivery."
Veritone, Inc. (NasdaqGM:VERI) is experiencing rapid adoption of its AI-enabled
public safety solutions. The company’s AI-enabled suite of solutions have seen
“a swell of adoption in 2020,” with sign-ups in the first half of this year
exceeding all of 2019, according to the press release. Jon Gacek, Head of
Government, Legal and Compliance at Veritone, said:
"Audio
and video evidence collected from crime scenes has become essential to police
departments, but presents a significant challenge when it comes to reviewing
and processing these large data sets. Veritone’s government solutions enable
police departments to process and search any media type to extract actionable
intelligence quickly and easily, significantly enhancing agencies’
transparency. We’re excited to be partnering with more agencies than ever
before, and are looking forward to a strong year of innovation in 2020."
Global
Machine Learning Market to Reach $117.19 Billion by 2027
A report from Fortune Business Insights finds that the global
Machine Learning market will grow from $8.43 billion in 2019 to $117.19 billion
by 2027 with a compound annual growth rate (CAGR) of 39.2 percent in the
forecast period 2020-2027. An excerpt from the report summary outlines the role
of self-driving cars in the market’s growth:
Self-driving
cars have gained tremendous popularity in the recent years. The advancements in
artificial intelligence technology and the Internet of Things (IoT) have paved
[the] way for driverless cars. ML is a vital component of the centralized
electronic control unit (ECU) in a self-driving car. Real-time monitoring of
the surroundings and predicting possible changes in the environment are the
primary functions of ML algorithms in self-driving cars.
ML
algorithms such as supervised learning, unsupervised learning, pattern
recognition algorithms, decision matrix algorithms, among others are integrated
into the functioning of self-driving cars. For example, Waymo LLC, an
autonomous driving technology development company headquartered in California,
uses categorical machine intelligence technology to classify and detect
different types of road features and objects. By incorporating advanced ML
algorithms, the company intends to expand to more cities to encounter new
scenarios and objects. These factors are likely to fuel the demand for
intelligent retrieval algorithms, thereby aiding to the expansion of the
market.
Sam Mowers, Investorideas.com
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a list of artificial intelligence stocks on Investorideas.com visit
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