iLearningEngines, Inc. (Nasdaq: AILE) (“iLearningEngines” or “the
Company”) recently addressed its innovative approach to securing
sensitive data during AI analysis and application development in
the white paper Deploying Out-of-the-Box AI Engines — A New Era for
Enterprise Outcomes. Using a secure and private AI Knowledge Cloud,
users of iLearningEngines’ Learning and Work Automation Platform
may circumvent the pitfalls associated with open-source libraries
used in traditional generative AI solutions. This cutting-edge
protocol for securing protected, proprietary information opens the
door to AI exploration and application development for countless
organizations concerned about security issues surrounding AI
adoption.
The rise of generative AI in recent years has given
organizations across industries the opportunity to leverage this
technology to improve business outcomes for a variety of tasks and
operations. The challenge is that open-source libraries, commonly
used in generative AI platforms to provide faster information
recall, allow unfettered access to the coding of AI applications.
Consequently, they offer an easy window for malicious actors to
identify, and manipulate, cybersecurity vulnerabilities in these
applications. Enterprises also need to ensure that their data and
the intelligence remains among their proprietary assets of the
enterprise without them leaking out to a wider audience through
common cloud-based models and data ingestion.
iLearningEngines recognizes this vulnerability and, since its
inception, has prioritized the data security of its users by
leveraging AI Knowledge Clouds – private cloud environments that
provide greater control and information protection compared to
alternative approaches. Compliant with Cloud Security Alliance
(CSA) recommendations for large language models (LLMs),
iLearningEngines’ AI Knowledge Cloud forms the platform’s core. It
aggregates data by integrating with both internal and external
enterprise sources to create a centralized repository of all
enterprise IP, helping generate insights and recommendations across
different use cases – without custom programming.
“Our applied AI platform enables organizations to productize
their institutional knowledge, provides decision intelligence,
facilitates as well as proactively act on it in a secure manner.
Our goal is to enable businesses to leverage the large amounts of
data they generate to improve efficiency and drive mission-critical
outcomes, without worrying about the safety of sensitive data or
proprietary information while developing AI solutions on the
iLearningEngines platform,” Sanjeev Menon, Chief Architect – AI/ML,
at iLearningEngines, said in a statement.
“This provides an opportunity for companies to build trust in
their AI solutions, with the assurance that they can navigate risks
effectively and unlock the full potential of AI once trust is
earned,” Menon added.
“Generative AI is radically changing the way companies build
learning and development solutions. But as companies adopt these
new platforms, they now have to become laser focused on content
quality, security, administration, and version control,” said Josh
Bersin, Global Industry Analyst. “A platform like iLearningEngines
has the potential to bridge this gap and bring trusted AI-powered
learning and knowledge management to enterprises at scale.”
iLearningEngines places a premium on integrating its core
pillars of ethical AI – transparency and explainability, security
and safety, human oversight and human-centered values, as well as
fairness – into AI development, adoption, and deployment. The
Company also deploys private cloud storage to industries that must
adhere to the strictest data security standards and regulations,
including banking, finance, and healthcare.
About iLearningEngines
iLearningEngines (Nasdaq: AILE) is a leading Applied AI platform
for learning and work automation. iLearningEngines enables
Enterprises to rapidly productize and deploy a wide range of AI
applications and use cases (AI Engines) at scale.
iLearningEngines is powered by proprietary vertical specific AI
models and data with a flexible No Code AI canvas to drive rapid
out-of-the-box deployment while offering low latency and high
levels of data security and compliance.
Serving over 1,000 enterprise end customers, iLearningEngines is
deployed globally into some of the most demanding vertical markets
including Healthcare, Education, Insurance, Retail, Energy,
Manufacturing and Public Sector to achieve mission critical
outcomes.
For more information about iLearningEngines, please visit:
www.ilearningengines.com.
Forward-Looking Statements
Certain statements included in this press release that are not
historical facts are forward-looking statements for purposes of the
safe harbor provisions under the United States Private Securities
Litigation Reform Act of 1995 with respect to the Business
Combination. Forward looking statements generally are accompanied
by words such as “believe,” “may,” “will, “estimate,” “continue,”
“anticipate,” “intend,” expect,” “should,” “would,” “plan,”
“predict,” “potential,” “seem,” “seek,” “future,” “outlook,” the
negative forms of these words and similar expressions that predict
or indicate future events or trends or that are not statements of
historical matters. These forward-looking statements include, but
are not limited to, statements regarding: the ability of knowledge
cloud data repositories to create opportunities for AI exploration;
iLearningEngines’ users ability to circumvent the pitfalls
associated with open-source libraries used in traditional
generative AI solutions; the ability of iLearningEngines’ Knowledge
Clouds to provide greater control and information protection
compared to alternative approaches; iLearningEngines’ ability to
help generate insights and recommendations across different use
cases and help businesses improve efficiency and drive
mission-critical outcomes; iLearningEngines’ users ability to build
trust in their AI solutions and unlock the full potential of AI;
the adoption of AI, iLearningEngines’ business outlook, including
its growth opportunity and position in the industry; and the
promise of iLearningEngines’ technology. These statements are based
on various assumptions, whether or not identified in this press
release, and on the current expectations of the iLearningEngines’
management and are not predictions of actual performance. These
forward-looking statements are provided for illustrative purposes
only and are not intended to serve as and must not be relied on by
an investor as a guarantee, an assurance, a prediction, or a
definitive statement of fact or probability. Actual events and
circumstances are difficult or impossible to predict and will
differ from assumptions this press release relies on. Many actual
events and circumstances are beyond the control of
iLearningEngines. These forward-looking statements are subject to a
number of risks and uncertainties, including changes in domestic
and foreign business, market, financial, political, and legal
conditions; iLearningEngines’ failure to realize the anticipated
benefits of the Business Combination; risks related to the rollout
of iLearningEngines’ business and the timing of expected business
milestones; iLearningEngines’ dependence on a limited number of
customers and partners; iLearningEngines’ ability to obtain
sufficient financing to pay its expenses incurred in connection
with the closing of the business combination; the ability of
iLearningEngines to issue equity or equity-linked securities or
obtain debt financing in the future; risks related to
iLearningEngines’ need for substantial additional financing to
implement its operating plans, which financing it may be unable to
obtain, or unable to obtain on acceptable terms; iLearningEngines’
ability to maintain the listing of its securities on Nasdaq or
another national securities exchange; the risk that the Business
Combination disrupts current plans and operations of
iLearningEngines; the effects of competition on iLearningEngines
future business and the ability of iLearningEngines to grow and
manage growth profitably, maintain relationships with customers and
suppliers and retain its management and key employees; risks
related to political and macroeconomic uncertainty; the outcome of
any legal proceedings that may be instituted against
iLearningEngines or any of their respective directors or officers,
including litigation related to the Business Combination; the
impact of the global COVID-19 pandemic on any of the foregoing
risks; and those factors discussed in iLearningEngines’ filings
with the Securities and Exchange Commission under the heading “Risk
Factors.” If any of these risks materialize or our assumptions
prove incorrect, actual results could differ materially from the
results implied by these forward-looking statements. There may be
additional risks that iLearningEngines does not presently know, or
that iLearningEngines does not currently believe are immaterial,
that could also cause actual results to differ from those contained
in the forward-looking statements. In addition, forward-looking
statements reflect iLearningEngines’ expectations, plans, or
forecasts of future events and views as of the date of this
communication. iLearningEngines anticipate that subsequent events
and developments will cause iLearningEngines’ assessments to
change. However, while iLearningEngines may elect to update these
forward-looking statements at some point in the future,
iLearningEngines specifically disclaim any obligation to do so.
These forward-looking statements should not be relied upon as
representing iLearningEngines’ assessments as of any date
subsequent to the date of this communication. Accordingly, undue
reliance should not be placed upon the forward-looking
statements.
For iLearningEngines
Investors:iLearningEngines,
investors@ilearningengines.comKevin Hunt,
iLearningEnginesIR@icrinc.com
For iLearningEngines PR:
Dan Brennan, ICR Inc., iLearningPR@icrinc.com
iLearningEngines (NASDAQ:AILE)
Historical Stock Chart
From Aug 2024 to Sep 2024
iLearningEngines (NASDAQ:AILE)
Historical Stock Chart
From Sep 2023 to Sep 2024