USA News Group
Commentary
Issued on behalf of Scope AI
Corp.
VANCOUVER, BC, June 21,
2024 /PRNewswire/ -- USA News Group – How we embrace this surging
adoption of artificial intelligence (AI) in the economy of the
future remains up for debate. Already, we're seeing the impact of
AI adoption in the workplace, in culture, and in finance, but it
won't end there. According to Goldman Sachs, AI is showing
"very positive" signs of eventually boosting GDP and productivity,
while some experts are remarking that the generative AI tech wave
is sweeping in much faster (maybe 10x) than early internet. Behind
the scenes, tech developers are building AI-powered tools that
could potentially revolutionize productivity and logistics in the
future, with recent developments coming from Scope AI Corp.
(CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ:
META), Amazon.com, Inc. (NASDAQ: AMZN), Microsoft
Corporation (NASDAQ: MSFT), and SoundHound AI, Inc.
(NASDAQ: SOUN, SOUNW).
As deep machine learning evolves rapidly, Scope AI Corp.
(CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market
focus to target sectors such as advertising, gaming, and neural
networks with its advanced GEM (General Enterprise Machine
Learning) technology.
Scope AI's ongoing development of GEM aims to assist
businesses in creating custom object detection and visual
information systems, maximizing the potential of neural networks.
The company's strategic initiatives are set to potentially
revolutionize advertising personalization, gaming enhancements, and
various applications of neural networks.
Recently, Scope AI unveiled significant enhancements to
GEM, designed to better serve advertising agencies and the gaming
industry. These updates aim to optimize advertising content and
improve gameplay experiences through advanced neural network
functionalities. By the end of May, Scope AI had announced
its collaboration with several leading ad agencies and ad networks,
to gain insights into the primary challenges these organizations
face in analyzing the efficacy of different ad creatives and page
layouts, as well as the difficulties and costs associated with
testing.
The timing of Scope AI's assistance in advertising
couldn't be better, as global advertising executives are currently
struggling with the injection of AI into their sphere. The worry is
that if everyone is using AI for their images, nothing stands out.
This is where Scope AI's potential with GEM rises, in
helping these ad execs to better discern their ad campaigns, and
how to deliver them.
"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."
GEM's enhanced object visual recognition capabilities are
intended to provide businesses with deeper insights and more
precise solutions. Consequently, advertisers may potentially
analyze consumer behavior more effectively and refine their
campaigns, while game developers could create more engaging 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."
Social media platform giant Meta Platforms, Inc. (NASDAQ:
META) recently announced an initiative to release new AI research
models in order to accelerate innovation at scale. As per the
initiative, Meta's Fundamental AI Research team is publicly
releasing several models to accelerate future research and allow
others to innovate and apply AI at scale.
According to the accompanying Meta blog post, the company
states, "We believe that access to state-of-the-art AI creates
opportunities for everyone."
Meanwhile, however, Meta has also been asked to delay
training its AI on data from users in the European Union. After
intervention by the Irish Data Protection Commission,
Meta now must delay its plan to train its large language
models on Facebook and Instagram content from EU
users.
"We're disappointed by the request from the Irish Data
Protection Commission (DPC), our lead regulator, on behalf of the
European DPAs, to delay training our large language models (LLMs)
using public content shared by adults on Facebook and Instagram —
particularly since we incorporated regulatory feedback and the
European DPAs have been informed since March," wrote
Stefano Fratta, Global Engagement
Director for Privacy Policy for Meta in a blog post. "This
is a step backwards for European innovation, competition in AI
development and further delays bringing the benefits of AI to
people in Europe."
Meanwhile, Amazon.com, Inc. (NASDAQ: AMZN) seems
undeterred in Europe, expanding
its generative AI listing tools to sellers across the continent. As
per the expansion, sellers in France, German, Italy, Spain,
and the UK can now leverage the power of generative AI to greatly
simplify the process of product listing creation as well as
enriching existing product listings to better resonate with
customers and help drive sales.
"These generative AI-powered tools simplify the listing creation
process, allowing sellers to generate compelling product titles,
descriptions, and other details by simply providing a few
descriptive words or just uploading a product image," said
Amazon in the accompanying blog post. "We suggest product
listings that are high-quality and designed to be engaging for
customers in our store. This streamlines operations and allows
sellers to focus on other aspects of their business."
Amazon has long utilized AI to assist its selling
partners by pioneering personalized product recommendations based
on customer behavior, enabling sellers to highlight relevant
products. Advanced machine learning models are used for demand
forecasting and inventory management, helping sellers avoid stock
shortages. AI-powered pricing tools provide dynamic pricing
insights, while recent innovations include generating rich Premium
A+ Content and augmented reality visualizations. In fulfillment
centers worldwide, AI helps stock products locally to ensure faster
deliveries and greater availability of everyday essentials. In
Europe, AI reduced the average
package travel distance by 25kms in 2023, enhancing delivery speed
and sustainability.
Microsoft Corporation (NASDAQ: MSFT) recently decided to
delay the release of its Recall AI feature on PCs, based on
security concerns. The Recall feature logs activities from web
browsing to voice chats, creating a searchable history on the
user's computer. This allows users to easily find and recall
actions from months ago.
Experts are already labeling Microsoft as a "frontrunner
in the generative AI race", with analysts expecting big things from
the software giant, citing a "strong competitive cloude edge"
coming, as they estimate Microsoft's Copilot deployments
could add around $25 billion to the
company's trajectory by fiscal year 2025.
Together with LinkedIn, Microsoft also released
the 2024 Work Trend Index on the State of AI at Work, titled "AI at
work is here. Now comes the hard part."
"Generative AI tools have found widespread acceptance in the
workplace, and we can see that most employees have placed their
trust in AI to help with their daily workloads – without waiting to
see if their organization will provide AI tools, services, or
directions and guidelines for usage," said Dhanawat Suthumpun,
Managing Director of Microsoft Thailand. "It is critical
that business leaders respond to this emerging trend in order to
help both the organization and employees make the most beneficial
impact from AI – from increased productivity and new capabilities
to greater security from well-defined guidance around AI use."
Global leader in voice artificial intelligence SoundHound AI,
Inc. (NASDAQ: SOUN, SOUNW) recently announced the acquisition
of key assets from Allset, an online ordering platform that
connects restaurants and local customers, to fast-track its vision
of a voice commerce ecosystem. Allset is a food ordering
platform 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.
SoundHound is already a market leader for restaurant voice
AI solutions, working with over 10,000 restaurant locations.
"We are thrilled to join forces with SoundHound to
combine our established partnerships and marketplace expertise with
SoundHound's class-leading voice AI solutions and
capabilities," said Stas Matviyenko,
CEO and Co-Founder of Allset. "From the beginning, we
realized that we share the same vision for the voice commerce
ecosystem that elevates the consumer experience. This team-up will
accelerate our progress toward the next exciting phase of
AI-powered ordering convenience."
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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SOURCE USA News Group