ORIGINALLY POSTED: 01 August 2022
AUTHOR: Richard Martin for TECHNATIVE
LOS ANGELES

 

An article by Beyond Limits Richard Martin was recently published in TechNative. The article, Overcoming ESG Measurement and Reporting Nuisances with AI, features a special focus on AI’s role in optimal Environment, Social, and Governance (ESG) reporting. Considering pressures are rising from investors, corporate leaders, and the government, organizations are struggling to meet the needs of all stakeholders. The article takes a close look at the problems with ESG reporting, where exactly AI can help, setting and reporting on ESG goals with AI, and the future of ESG measurement.
 
“There are best practices to consider when it comes to ESG goal setting and measurement that can help companies stay on top of this important task. Thanks to the addition of AI, these once-tedious chores will quickly become parts of a painless, fully automated process. ” 
 
 
Read the Full Article – HERE.
 
 
LEARN MORE ABOUT BEYOND LIMITS’ HYBRID AI, POWERED BY COGNITIVE CAPABILITIES – HERE.
 
 
 
 
ORIGINALLY POSTED: 25 JULY 2022
AUTHOR: RICHARD MARTIN FOR POWER MAGAZINE
LOS ANGELES

 

An article by Beyond Limits Richard Martin was recently published in POWER Magazine. The article, Putting AI to Work for Better ESG Data, featured a special focus on Environment, Social, and Governance (ESG) reporting, considering pressures are rising from investors, corporate leaders, and the government, organizations are struggling to meet the needs of all stakeholders. The article takes a close look at the problems with ESG reporting, where exactly AI can help, setting and reporting on ESG goals with AI, and the future of ESG measurement.
 
“Best practices for creating goals, measuring results, and sharing ESG progress are made simple with the combination of AI and on-hand organization data. Utilities that let AI do the grunt work for their ESG measurements are improving industry-wide ESG data and are in a better position to understand where they stand on their journey to sustainable operations.” 
 
Read the Full Article – HERE.
 
 
TO GET A BETTER LOOK AT ALL THE CRITICAL INDUSTRIES WHERE BEYOND LIMITS’ ENTERPRISE-GRADE AI IS MAKING HUGE IMPACTS, CHECK THEM OUT – HERE.
 
 
 
ORIGINALLY POSTED: 19 JULY 2022
AUTHOR: DANIEL GUTIERREZ FOR insideBIGDATA
LOS ANGELES

 

Beyond Limits was recently recognized as an honorable mention on insideBIGDATA’s IMPACT 50 List for Q3 2022. This list is a compilation of companies that have demonstrated their weight by the way they’re impacting the enterprise through prominent edge products, solutions, services, applications, and more. These companies are the movers and shakers currently making big impacts in the technology areas of big data, data science, machine learning, AI, and deep learning.
 
“Companies (along with their subsidiaries) on the list exhibit technology leadership, strength of offering, proven innovation, positivity of message, quality perception by the enterprise community, sentiment and frequency of social media buzz, high profile of members of the C-suite, and in the case of public companies: positive financial indicators and stock price, plus so much more!”
 
 
Read the Entire Article & See the Full List – HERE.
 
 
READ ALL ABOUT HOW BEYOND LIMITS WAS ALSO RECENTLY HONORED ON AI STARTUPS’ “TOP 100 AI STARTUPS IN USA” LIST – HERE.
 
 
 
ORIGINALLY POSTED: 13 JULY 2022
AUTHOR: STEPHANIE SIMONE for DBTA & BIG DATA QUARTERLY
LOS ANGELES

 

DBTA Magazine and Big Data Quarterly recognized Beyond Limits on their list of Awesome Companies in AI 2022. Innovative companies already have products and services available today to help customers put more data to work. To help their readers attain a more comprehensive awareness around complex AI and other information technology solutions available, as well as their responsibility in tackling real-world obstacles, DBTA and Big Data Quarterly compiled an exclusive list of Awesome Companies in AI for 2022.
 
“Beyond traditional artificial intelligence, Beyond Limits’ software products are powered by award-winning Cognitive AI technology, utilizing a hybrid AI approach that combines data-centric techniques with embedded human knowledge to affirm trust in software-driven decisions, manage operational risk, and drive profitability.”
 
 
Read the Full Article – HERE.
 
 
LEARN MORE ABOUT BEYOND LIMITS’ HYBRID AI, POWERED BY COGNITIVE CAPABILITIES – HERE.

 

 

ORIGINALLY POSTED: 1 JULY 2022
AUTHOR: AJ ABDALLAT FOR FORBES TECHNOLOGY COUNCIL
LOS ANGELES, CA

 

Artificial intelligence (AI) is thought to be instrumental to the complex phase confronting critical infrastructure and its sectors. Every industry is facing the mounting necessity to become more agile, resourceful and sustainable. As a result of those pressures, entities in charge of systems that are essential in our everyday lives have made substantial strides toward constructive transformation and smarter digital initiatives. Ambitions for smart cities with intelligent critical infrastructure are no exception.
 
Out of the 16 “critical systems” infrastructure sectors defined by the U.S. Cybersecurity Infrastructure and Security Agency (CISA), AI stands to make some of its greatest impacts on energy, power/utilities, manufacturing and healthcare during this transformational stage, which seeks to make our systems as smart as possible. AI is expected to play a foundational role across our most critical infrastructures.
 
However, some are hesitant and concerned that AI isn’t relatable enough to be delegated such an important assignment, asking important questions about whether it’s capable of taking on such vital tasks, collaborative enough to cooperate with humans and trustworthy enough to prove its transparency, reliability and dependability. As the CEO of an AI company making advanced digitalization software products and solutions for critical infrastructure industries, I believe that enabling humans and AI to form a trusting partnership should always be a crucial consideration.
 
 
AI Across Major Critical Infrastructure Systems
 
Whether because of resistance to buy-in by stakeholders that misinterpret AI’s goals or underutilization of proposed solutions—and unrealistic expectations (or simple distrust) around the technology’s ability to solve complex problems—AI adoption and implementation reluctance have been noteworthy obstacles. However, AI has long been proving its value across major industries such as those within critical infrastructure. It’s often at the forefront of driving valuable strategies and optimizing the industry across all operations, largely putting such uncertainties to rest.
 
According to Microsoft CTO Kevin Scott, “You really could transform not just human well-being through the end product of what you’re building. The process of solving the problem could put into place this infrastructure that could also define entire new sectors of the industry and our economic outputs for decades ahead.”
 
In the coming years, AI is positioned to demonstrate its pivotal part in the transformational phase confronting our major industries and could pave important paths for compelling approaches designed to make our critical infrastructure more intelligent. Several examples of AI at work have already presented themselves, yet provide just a glimpse of what we might see in the future.
 
 
Power And Utilities: AI impacts the power grid system through its capacity to absorb usage pattern data and deliver precise calculations of prospective demand, making it a prime technology for grid management. AI can examine massive amounts of data across plants and accurately forecast when surplus energy is available to supply and charge batteries or vice versa.
 
 
Energy: AI works to help the oil and gas industry boost efficiency, elevate resource output, democratize expertise and grow value while decreasing environmental repercussions. AI can support stakeholders in enhancing production and progressing asset upkeep by isolating drilling prospects, examining pipes for issues with remote robotics equipment at the edge and forecasting potential critical equipment wear and tear.
 
 
Manufacturing: AI is digitalizing procedures and delivering instrumental insights across manufacturing. Predictive maintenance solutions engaging sensors and other practical data provide optimization use cases extending from heightened, more simplified documentation tracing to supporting decision-makers through corrective action proposals around equipment preservation, persistent operational challenges and other obstacles concerning sudden strategy departures.
 
 
In terms of the supply chain, the digital transformation of data and widespread sensor examinations can be based on human-readable AI recommendations in cooperation with critical stakeholders. AI can also offer simplified process automation. Heightened holistic visibility around operations can increase predictability, improving corrective responsiveness.
 
 
Healthcare: AI helps tackle healthcare’s currently problematic operational processes that could lead to complex challenges at the point of patient care. AI solutions help yield a more well-rounded understanding of the industry’s most important data. With AI making vast quantities of previously unstructured data immediately understandable to stakeholders, the outcome could be improved prognostic precision and simplified organizational operations, alongside more conscientious patient screening and procedure recommendations. AI implementations have the potential to advance the industry’s methodology, enhancing both medical professional and patient encounters.
 
 
Explainable Is More Trustworthy
 
Successful AI adoption and implementation come down to trust. One path to trusting AI with the digital transformation of critical infrastructure is explainable AI. Explainable AI approaches are established in solutions that deliver intelligible, observable and adjustable audit trails of their actionable advice, often resulting in increased usage from necessary participants.
 
This capability is fundamental for describing corrective recommendations in a human-readable way with clear evidence that mitigates uncertainty and risk. In this way, these solutions are collaborative with humans. AI solutions’ usefulness may be measured by human-usability with their definitive worth equating to their ability to provide humans with usable intelligence so they can make quicker, more precise decisions and develop confidence. Explainable AI helps ensure critical stakeholders aren’t left out of the mix. It facilitates a cohesive correlation between humans and machines, tethered with trust.
 
 
AI And Imminent Intelligent Infrastructure
 
AI solutions are advancing at an accelerated pace, and such solutions are expected to be essential for creating smarter cities and generating the intelligent critical infrastructures of our future. From energy and power/utilities to manufacturing and healthcare, AI helps make our most pivotal systems as efficient as possible. There are boundless opportunities for AI to make a substantial impact across our most fundamental industries. As the technology has matured and established itself with impressive outcomes, adoption and implementation have steadily increased.
 
AI is already all around us, in virtually every part of our daily lives. Where critical infrastructure is concerned, AI is set to be the linchpin for our global strategy around digital transformation efforts. Adoption, implementation and trust challenges can also be mitigated with the use of explainable solutions, now and into our future.
 
 
 
Check out the Article on Forbes – HERE.
 
 
 
DISCOVER ALL THE BENEFITS OF BEYOND LIMITS HYBRID AI POWERED BY COGNITIVE CAPABILITIES – HERE.
 
 
 
ORIGINALLY POSTED: 30 JULY 2022
AUTHOR: EXPERT PANEL FOR FORBES TECHNOLOGY COUNCIL
LOS ANGELES, CA

 

Forbes featured Beyond Limits CEO AJ Abdallat in an article, sharing 8 Expert Tips for Resolving Common Tech Glitches and Annoyances. The eight industry experts were more than happy to provide some straightforward insights, sharing their knowledge into how to deal with frustrating, though generally common and trivial, tech problems. The feature spotlights some easy remedies that are usually applicable for solving small hiccups — as well as best practices when the need arises to request a bit of support from a specialist.
 
“Simply forgetting (or putting off) computer updates is a common blunder that can cause “glitches.” If your technology, for whatever reason, suddenly doesn’t want to cooperate, restarting the system often works. Users often go several months without rebooting their devices and are then confused as to why everything slows down. Let the machine rest a little here and there—it’s like magic.”  AJ Abdallat
 
 
Read the Full Article – HERE.
 
 
LEARN MORE ABOUT BEYOND LIMITS’ HYBRID AI, POWERED BY COGNITIVE CAPABILITIES – HERE.
 
 
ORIGINALLY POSTED: 17 JUNE 2022
AUTHOR: CATHERINE GRAY FOR AI MAGAZINE
LOS ANGELES
 
 
Beyond Limits’ Senior AI Solutions Architect & Data Scientist, Ari Kamlani, was recently spotlighted in a Q/A-style article by AI Magazine. The article, Beyond Limits: Minimising Financial Risk with Cognitive AI, featured a special focus on Ari’s role and responsibilities, how Beyond Limits’ unique Cognitive AI can help minimize financial risk, and what’s next for a hybrid artificial intelligence company that specializes in innovating technology for critical infrastructure.
 
Beyond Limit’s technology delivers more comprehensive and accurate insights than data-driven methods can perform alone, essentially picking up where data-driven methods leave off. The hybrid AI technology offering can be paired with modern data-driven methodologies. It excels in conditions when data is scarce or contains conflicting information, where there is a high level of risk for uncertainty in decisions, and “black box” related reasoning is not nearly sufficient.”
                    
 
Read the Full Article – HERE.
 
 
TO GET A BETTER UNDERSTANDING OF ALL BEYOND LIMITS’ SOLUTIONS MAKING HUGE IMPACTS ON CRITICAL INFRASTRUCTURE, CHECK THEM OUT – HERE.
 
 
 
 
ORIGINALLY POSTED: 23 MAY 2022
AUTHOR: EXPERT PANEL FOR FORBES TECHNOLOGY COUNCIL
LOS ANGELES, CA

 

Forbes featured Beyond Limits CEO AJ Abdallat in an article where industry experts share their insights on 16 Changes Coming To The Web That Businesses Need To Prepare For. Technology leaders provided their perspectives on technology trends, buzzwords, and how important it is to recognize what’s coming so companies can most optimally organize a strategy and be among the frontline of businesses prospering in an ever-evolving online world.  
 
“Understanding the limitations of machine learning models is important. Solutions that depend solely on ML don’t generally solve the most complex problems; in fact, missing/conflicting data may even render these models unusable. Hybrid solutions that combine the best of ML with other AI approaches should be considered when dealing with real-world challenges faced by real humans.” AJ Abdallat
 
 
Read the Full Article – HERE.
 
 
LEARN MORE ABOUT BEYOND LIMITS’ HYBRID COGNITIVE AI TECHNOLOGY – HERE.
 
 
 
ORIGINALLY POSTED: 12 MAY 2022
AUTHOR:  AJ ABDALLAT FOR ENTERPRISEAI
LOS ANGELES

 

An article by Beyond Limits CEO AJ Abdallat was recently published on EnterpriseAI. The article, The Future of Industrial-grade AI, featured a special focus on AJ’s predictive analysis around where he saw AI making the biggest impacts in 2022 and onward.
 
The feature takes a close look at exactly what industrial AI means, new horizons and trends for industrial AI starting in 2022, and the future of industrial AI with peeks into as far as the year 2050. Insights place special attention on how the scope of artificial intelligence has dramatically widened in recent years as critical advancements in the field have resulted in expansion across a variety of critical industrial sectors, from healthcare and energy to construction and aerospace.
 
 
“Due to its inherent usefulness, industrial-grade AI has exploded into new sectors in recent years and is expected to continue growing as more organizations identify its value. In fact, the AI solutions market is expected to hit $500 billion next year, further solidifying the start of an AI-centric era. Today, there are several key sectors where industrial-grade AI is poised to make the biggest impact as new technologies come to life in 2022 and beyond.”
 
 
Read the Full Article – HERE.
 
 
TO GET A BETTER LOOK AT ALL THE CRITICAL INDUSTRIES WHERE BEYOND LIMITS’ ENTERPRISE-GRADE AI IS MAKING HUGE IMPACTS, CHECK THEM OUT – HERE.
 

 

ORIGINALLY POSTED: 13 MAY 2022
AUTHOR:  AJ ABDALLAT FOR FORBES TECHNOLOGY COUNCIL
LOS ANGELES, CA
 
 
Artificial intelligence (AI), machine learning (ML) and similar digitalization solutions are modifying the way the world’s most influential companies and industries — as well as entire cities — function every day. When working in harmony with humans, AI and other automation systems have the potential to make huge impacts on economic growth across the globe, going so far as to support solving humanity’s most critical roadblocks, from streamlining energy production to improving grid systems and achieving more sustainable operations for nearly every major industry on Earth.
 
As the CEO of an AI company making advanced digitalization software products and solutions, the paradigm of enabling people and AI to work together on achieving more sustainable operations is always top of mind; its importance cannot be curbed. As we move into the future, I’m confident there will be plenty of jobs for both humans and AI so long as they are able to function in conjunction with one another.
 
Of course, humanity will likely need to understand and accept that meaningful modifications are inevitable during transition periods. It will be necessary for many to develop proficiencies and adaptable skill sets that only a human mind could perform. Flexibility around the ever-progressing capabilities of AI will be vital. The minute that humans and machines find the groove in the role they play with one another, that marriage of unlimited creativity and seamless functionality should bring about an era that propels us beyond all limits to solve some of our world’s most important challenges, including the climate crises.
 
 
Small transformations across big industries may trigger substantial strides.
 
AI is advanced enough to work in harmony with humans, combining powers to fast-track large-scale efforts to make real change when it comes to environmental sustainability, resource preservation and waste reduction. From more intentional identification of potential emission impacts across energy operations to making entire cities smarter and more efficient, AI is already taking names when it comes to substantial results.
 
One major company taking significant steps in accomplishing this goal is BP, which is partnering with Microsoft and targeting to become net-zero by 2050. The energy giant also underscored ambitions for the near future, stating in a press release: “By the end of the decade, it aims to have developed ‎around 50 gigawatts of net renewable generating capacity—a 20-fold increase on what it has ‎previously developed, increased annual low carbon investment 10-fold to around $5 billion, and cut oil ‎and gas production by 40%.”
 
 
Additional instances of how AI initiatives are confronting climate issues include:
 
 
The trust problem and explainability solution.
 
According to an article from Earth.Org: “The field of Artificial Intelligence (AI) is flourishing thanks to large investments, and big companies with heavy ecological footprints can use it to make their activity more sustainable.” However, one of the biggest obstacles hindering AI’s pathway to solving some of our most important issues equates to a lack of trust impacting the adoption and implementation of the technology.
 
Most AI tools tend to operate in opaque black boxes where human users cannot perceive how they arrive at conclusions, answers and recommendations. These solutions often just spit out a remedy with no explainability, traceability or auditability — hardly building confidence. Increasing the opportunities for AI to amplify the talents and capabilities of people requires their trust. Otherwise, the ability for both parties to most effectively work together to solve our most important sustainability problems becomes severely limited.
 
Enter cognitive AI. This type of explainable AI works transparently, revealing the reasoning behind its recommendations in a straightforward manner and readily showing relevant humans the comprehensive data behind its decision-making process through clearly readable audit trails. AI should not be a substitute for human input but rather used as a tool for humans to make more confident decisions. In order for humans to trust AI, the solutions must not hide their processes within black-box functionality. Explainable AI explodes the black box to grant that essential, trust-building clarity.
 
The balance of knowledge-based cognition and digitalization is what can enable decision makers to identify unexpected opportunities and take immediate action in critical scenarios. Resulting process enhancements would likely result in superior communication, reinforced cooperation and streamlined enterprises where everything operates more economically and sustainably. When working in conjunction with humans, cognitive AI can grant the ability to monitor everything on a more holistic level. Stakeholders can then elevate procedures to both obtain additional value while shrinking waste, thus decreasing carbon footprints and sprinting nearer to net-zero targets.
 
 
AI of the future: A solution with indelible results.
 
Working toward a lower carbon outlook will demand that moves be made around operational efficiency, improved production tactics and minimized waste. The significance of a global initiative around a more sustainable world cannot be downplayed. As a software company making AI of the future, our responsibility to confront this challenge head-on by pioneering sustainability-first solutions that keep humans in the loop is of the utmost importance.
 
AI will be a critical utility when it comes to technologies that support businesses, industries and cities in attaining vital net-zero objectives. When AI proves itself as an explainable, human-trustable solution that works in harmony with people, a limitless capacity can be unleashed for unraveling some of our most complex obstacles in attaining a more sustainable tomorrow for our planet and its inhabitants.
 
 
CHECK OUT THE ARTICLE ON FORBES – HERE.
 
 
 
LEARN EVERYTHING YOU CAN ABOUT BEYOND LIMITS EXPLAINABLE AI – HERE.
 

 

ORIGINALLY POSTED: 29 APRIL 2022
AUTHOR: EXPERT PANEL FOR FORBES TECHNOLOGY COUNCIL
LOS ANGELES, CA

 

Forbes featured Beyond Limits CEO AJ Abdallat in an article where industry experts share 16 Essential Steps for Creating and Maintaining an Effective Machine Learning Model. Technology leaders provided their perspectives on the importance of understanding the realistic capabilities of machine learning (ML) – that even though they provide robust proficiencies when it comes to solving complex problems, those looking to implement ML solutions must be aware that they cannot just be turned on, operate in silos, and then be expected to perform as a one-stop-shop fix-all for everything.

 

“Understanding the limitations of machine learning models is important. Solutions that depend solely on ML don’t generally solve the most complex problems; in fact, missing/conflicting data may even render these models unusable. Hybrid solutions that combine the best of ML with other AI approaches should be considered when dealing with real-world challenges faced by real humans.” AJ Abdallat

 

READ THE FULL ARTICLE – HERE.

 

LEARN EVERYTHING YOU CAN ABOUT BEYOND LIMITS DYNAMIC HYBRID AI PRODUCTS & SOLUTIONS – HERE.

 

Originally Published: 13 April 2022

Author: Greg Nichols from ZDNet

Los Angeles, CA

 

ZDNet recently interviewed Beyond Limits Director of Product Management Steve Kwan to discuss America’s energy grids and how AI can be leveraged to decrease outages throughout the country. In this article titled, “Zapped: The grid is on life support. Can AI fix it?” Steve explains the problems power grids are currently facing and the future of AI in grid management:

 

“With continued improvements to AI and ML technologies, we will be able to increase the size of the data set, frequency, speed, and accuracy of model predictions. Together, this would provide better toolsets for grid operators to optimally match supply with demand in unprecedented fashions.”

 

Read the Full Q&A – Here.

 

CHECK OUT MORE INFORMATION ON HOW AI CAN HELP THE ENERGY SECTOR – HERE.