USA News
Group Commentary
Issued on
behalf of Scope AI Corp.
VANCOUVER, BC, June 28, 2024 /PRNewswire/ -- With the advent of
the artificial intelligence (AI) revolution, so too comes a major
shift across multiple industries. In creative industries, AI is
leading to new tools, but also job cuts. Billionaire Steve Cohen and his Point72 Ventures
recently laid off its fintech team, in a pivot towards AI. Several
investment firms are making this shift as well, including
Capital Group, UBS, and SoftBank. Even
Goldman Sachs has deployed its first Generative AI tool
across the firm for code generation to its thousands of developers
by the end of the month. However, another new wrinkle has arrived
on the scene, with new allegations of what's being called "AI
washing", where proprietors claim to be using AI, when in fact
their transactions require significant human oversight. Working
behind the scenes for real contributions to the AI space are
several developers, including Scope AI Corp. (CSE: SCPE)
(OTCQB: SCPCF), SoundHound AI, Inc. (NASDAQ: SOUN, SOUNW),
Alibaba Group Holding Limited (NYSE: BABA), Meta
Platforms, Inc. (NASDAQ: META), and International Business
Machines Corporation (IBM) (NYSE: IBM).
As machine learning technology continues to advance, Scope AI
Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its
market focus towards key industries such as advertising, gaming,
and neural networks, utilizing its sophisticated GEM (General
Enterprise Machine Learning) platform.
Scope AI is progressing its GEM platform to assist
businesses in creating customized object detection and visual
information systems, harnessing the full capabilities of neural
networks. These strategic efforts aim to revolutionize advertising
personalization, enhance gaming experiences, and expand various
applications of neural networks.
In recent developments, Scope AI has launched significant
updates to GEM, designed to better support advertising agencies and
the gaming industry. These enhancements concentrate on refining
advertising content and improving gameplay through advanced neural
network functionalities. By the end of May, Scope AI had
collaborated with several leading ad agencies and ad networks to
identify and address the main challenges in evaluating ad creative
effectiveness, page layouts, and the associated testing costs and
complexities.
"Our approach is to start with the pain points of our potential
users and build solutions based on those insights," said
James Young, CEO of Scope AI
Corp. "We believe in understanding the real-world challenges
faced by our partners, rather than falling into the common software
trap of 'build it and they will come.' This collaboration ensures
that GEM is not just another tool, but a solution that addresses
the specific needs of the advertising community."
Scope AI is entering the advertising industry at a
crucial moment, as global advertising leaders contend with the
rapid rise of AI technology. A significant concern is that the
prevalent use of AI-generated images could lead to a lack of
uniqueness. Scope AI's GEM technology is designed to address
this issue, helping ad executives to better differentiate and
execute their campaigns.
GEM's sophisticated object visual recognition capabilities are
designed to offer businesses deeper insights and more accurate
solutions. Consequently, advertisers could enhance their ability to
analyze consumer behavior and improve their campaigns, while game
developers could create more captivating and immersive user
experiences.
"We're very pleased at how seamless we were able to streamline,
enhance, and strengthen our platform with the latest performance
and security upgrades made to our infrastructure," said
Sean Prescott, Founder and
Non-Executive Chairman of Scope AI. "The next generation of
our platform will set us apart in what kind of data and its
sensitivity we can process and store. It's a potential game-changer
for the industry."
Looking to further enhance the drive-through ordering experience
for fast food franchises, global leader in voice AI, SoundHound
AI, Inc. (NASDAQ: SOUN, SOUNW), recently acquired food-ordering
platform Allset to position itself as a full ecosystem for
ordering food through cars, TVs, and smart devices. Allset
is a food ordering platform, founded in 2015, and designed for
local pick-up, providing a seamless, cost-effective dining
experience that allows both consumers and restaurants to bypass the
high fees charged by delivery apps.
"As a business, Allset will help SoundHound bring
voice AI solutions to even more restaurants looking to improve
operational efficiency," said Keyvan
Mohajer, CEO and Co-Founder of SoundHound AI.
"Together, we plan to provide dynamic and convenient ways for
people to order food and complete a range of other transactions
just by speaking naturally."
In an effort to speed up app development on its Alibaba Cloud
platform, Alibaba Group Holding Limited (NYSE: BABA)
recently introduced its first "AI programmer", powered by the
company's self-developed large language model (LLM).
"The development paradigm for software applications is
changing," said Xu Dong, general
manager of Alibaba Cloud's Tongyi Qianwen LLM service. "In the
future, users only need to identify problems and express
requirements, and completing an application development in minutes
will become the norm."
Following up on this, Alibaba recently committed to
scaling AI tools for Micro-, Small and Medium-Sized Enterprise
(MSME) Day. Emphasizing its commitment to aiding MSMEs,
Alibaba.com has announced the deployment of AI tools for its
global suppliers. These tools have already been embraced by
approximately 30,000 businesses on the platform.
"As a member of the private sector, we are honored to have
worked alongside international agencies such as ITC and supported
MSMEs worldwide over the past 25 years," said Kuo Zhang, President of Alibaba.com. "As
we promote wider adoption of our AI tools amongst MSMEs, we also
hope to expand our global supplier base to cover 100,000 suppliers
in the next three years. In a nutshell, we are building a global
supply chain by and for MSMEs leveraging AI."
For Meta Platforms, Inc. (NASDAQ: META), a bold effort to
improve its own AI aspirations is garnering plenty of pushback, as
its plan to train its AI model on European data derived from
Facebook is generating privacy concerns. Meta's AI
training initiatives face challenges due to strict European Union
data privacy regulations, which grant individuals control over
their personal data usage.
AI language models undergo training on extensive datasets,
enabling them to predict the most likely next word in a sentence.
Typically, newer versions are more advanced and efficient than
their earlier counterparts. Meta has integrated its AI
assistant into Facebook, Instagram, and
WhatsApp for users in the U.S. and 13 other countries,
excluding Europe.
"If we don't train our models on the public content that
Europeans share on our services and others, such as public posts or
comments, then models and the AI features they power won't
accurately understand important regional languages, cultures or
trending topics on social media," said Stefano Fratta, global engagement director of
Meta's privacy policy, said in blog post. "We believe that
Europeans will be ill-served by AI models that are not informed by
Europe's rich cultural, social and
historical contributions."
According to analysts at Goldman Sachs, International
Business Machines Corporation (IBM) (NYSE: IBM) could grow its
market share as its AI investments continue to pay off. Among its
accomplishments, IBM is considered the leader in the quantum
computing segment with its continued advancements in hardware,
software, and systems technologies, especially through its watsonx
platform.
Recently IBM announced a partnership with WPP to
launch a new business-to-business (B2B) solution powered by watsonx
designed to reinvent how B2B marketers identify and engage clients
and prospects across the buying journey. Dubbed WPP Open for B2B,
the platform will help marketers solve complex B2B marketing
challenges, accurately identify and engage buying groups, and
improve clients' return on investment (ROI).
"B2B marketers have been focused on creating truly personalized,
relevant and consistent experiences for buying groups at scale for
years," said Jonathan Adashek,
Senior Vice President of Marketing and Communications at
IBM. "We are excited to create and use these new, powerful
and trusted AI solutions to deliver a force multiplier for B2B
marketing."
Article Source:
https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
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