Despite the excitement about emerging consumer-grade AI like ChatGPT, Bard, and Bing, students are rather gloomy about what these advancements mean for their future. During a recent survey of students aged 16-61, nearly one-third expressed worry about the impact of AI on their career or potential career. That’s an understandable sentiment, given that large language model (LLM)-based AI platforms can already Google faster than any human and autonomously perform administrative tasks like managing calendars and responding to emails.
On the flip side, students have a clear-eyed assessment of what AI may or may not be capable of doing. About four in ten respondents think AI can “generate accurate and reliable results,” and almost two-thirds say, “AI can’t replace human intelligence or creativity.” These responses provide a healthy dose of realism about AI’s prospects and how it might impact those seeking to make their own mark in the professional world.
Students’ nuanced view of AI demonstrates what many of us already know. The ultimate goal of AI may be unsupervised production. However, some of the most exciting AI today still needs human supervision. Despite concerns about AI replacing roles, the complete takeover of jobs is not entirely unavoidable. That said, there are tasks for which AI is well suited, and as algorithms get smarter and developers fine-tune their models, AI will make its way into more functions in the near, medium, and far terms.
We sat down with Mike Krause, Senior Data Science Director; and Ari Kamlani, Principal Data Scientist, to learn more about their AI predictions in the workplace.
The story of the next one to five years is one of AI helping humans become more productive. Both Mike and Ari predict that more administrative tasks, from data management to paralegal activities, will become the domain of AI-enabled tools.
The other major arena for AI will be in automation.
“In the next 1-3 years,” Mike predicts, “AI will replace factory and warehouse work driven by increased use of robotics and AI to automate processes. Various roles like quality assurance in factories and software engineering will also be replaced when LLMs can be used to effectively test code.”
According to Ari, standard business processes or workflows that can be codified and have low variability and high consistency can be replaced by AI. In many cases, AI is already very present in these areas.
“We tend to associate these business processes with technologies such as RPA, either powered by traditional backend rules-engines or now modern AI,” adds Ari.
As we move a bit further into the future, Ari and Mike see AIs blurring the lines between human and machine content output and further evolving in places they already exist. “AI tools will continue to be integrated into the devices we use every day; people will be using AI without even realizing it (like your e-mail autofill),” Mike predicts.
The TL;DR of near-term AI in the job market is that it will find a niche automating many administrative tasks—a role that will allow fewer humans to do more.
Within five years, both Ari and Mike envision AI moving towards the edge as it evolves. Mike believes AI will be embedded in many more devices such as traffic cameras, pollution sensors, and vehicle safety equipment. Additionally, Ari sees AI addressing the limitations of resource-constrained devices, specifically the performance gap between the cloud and various classes of connected edge device footprints [being] minimized.
As AI becomes more mature and reliable, it will become more adept at handling various activities at the network’s edge. Many of these roles will help keep humans safer, whether by keeping humans away from dangerous jobs in warehouses or improving things such as security and autonomous driving.
The medium-term outlook for AI in the jobs market is one of learning and maturing. Ari notes that we deploy our models without knowing if they will have a true effect in the real world. In some application contexts, there may be long lag periods before we are able to realize their true value. In the next decade, the gap between “real-world environment utility and the proxies used for population sampling and AI model training” will shrink as AI improves how it helps humans in very specific roles.
In the long term, AI will likely evolve from a specialist to a generalist, as it finds ways to augment and enhance the human experience holistically.
Mike predicts that AI will be able to integrate numerous data streams to recommend or implement end-to-end strategic operations for applications such as scheduling and planning military operations, corporate planning, government policy, supply chain management, and investment strategy.
Ari believes that rather than having very disparate entities people interact with, for example, an app for this, an app for that, they will be stitched together as cohesive integrated experiences.
This evolution will allow AI to aid humans in more complex tasks, from surgical procedures to judicial proceedings. Whatever the role, AI in the more-distant future promises to fundamentally change the way we interact with technology, whether, as Ari notes, “via software agents or real physical robots as companions to our lifestyle.”
Should these predictions prove prescient, the presence of AI in the job market will be complicated. It will soon become an excellent assistant, presiding over administrative tasks that many humans likely find tedious or cumbersome. Even for slightly more advanced tasks, like copywriting or e-discovery, humans may find AI to simply be more efficient. Yet, there is no reason for people in those types of roles to fret. AI is likely to provide plenty of opportunities as it helps humans multiply their efficiency.
Ari likens the next tranche of technology-driven opportunity to the current creator or gig economies. “With the explosion of generative AI, particularly with the inclusion of mixed modalities (e.g., text-to-image, image-to-text), these ‘creator’ economies shall be on the rise. This could mean specialization opportunities for new startups and/or providing alternative possibilities to larger firm offerings.”
Mike sees supervisory roles for humans as AI pervades over replacing more roles. Especially when these roles are coupled with robotic operations, there will be a need for human oversight. For instance, “content moderators” will be needed to control and flag autonomous AI systems.” There will also be a need for “prompt engineers” for jobs like interacting with autonomous drones and vehicles, content creation, engineering fields, and cleaning robots.
Most (61%) current students say AI tools like ChatGPT will become the new normal. And, while this new normal may be rife with AI performing more mundane tasks for humans, it will also be blossoming with fields of potential. Students or those considering career changes may want to focus on AI oversight and enhancing their own productivity with growing models. The more we understand how AI works and how to work with it, the more likely it is that AI continues to be a strong complement to our career objectives.
LEARN MORE ABOUT BEYOND LIMITS COGNITIVE AI AND EXPLAINABLE AI SOLUTIONS.
Flying is stressful in the best of times. Add lost bags, missed connections, days-long delays and unresponsive customer service to the equation and vacations or business trips can turn into nightmares. There’s a lot that needs to go right to get travelers from point A to point B. Breakdowns in technology – either from age or inflexibility – at any stage, e.g., scheduling, rescheduling, baggage sorting or air traffic control process, leaves passengers stranded and frustrated.
Unfortunately for Southwest Airlines, its debacle during the 2022 holiday season has made it the posterchild of outdated airline technology. There’s still speculation as to the biggest offender responsible for the more than 16,000 canceled flights.1 What is clear is that the airline industry needs a technology overhaul to be better equipped to adapt to bad weather, labor issues, and complicated communication channels.
While there are many aspects that need to be modernized and different solutions for each, Hybrid artificial intelligence (AI) can address certain critical issues that will help airlines avoid another billion-dollar “epic screwup.” Hybrid AI is a technology that unites the best of non-symbolic AI (like machine learning and deep learning) and symbolic AI, or the variety of AI that mimics human intelligence. These halves combined create a technology that uses encoded human-like knowledge to solve data-driven and pattern-heavy concepts.
Here’s where and how Hybrid AI can have the most positive effects.
Airlines can’t change the weather, but they can change how they react to poor conditions. Confidence should be at the center of every swift judgement, and in an industry where human safety is at stake, decision-makers benefit from the extra conviction they gain from Hybrid AI-informed data. With Hybrid AI, unlike other AI types, you can easily track how it gets to its conclusions with easy-to-understand audit trails. This “explainable technology” works in tandem with its human colleagues, resulting in fast and accurate output.
When passengers know early on that their flights are canceled, they can quickly begin planning alternate routes and hopefully still get to their destination on time. Hybrid AI, trained with relevant domain knowledge (flight patterns, flyable and unsafe weather conditions, weather patterns, etc.), can support fast scheduling decisions because of its human-like reasoning and ability to comprehend situations, even when statistical patterns and data are scarce. Hybrid AI doesn’t replace human thinking – it enhances it, so human operators still have the final say on all decisions.
Additionally, AI can assist in scheduling and rescheduling by adding a layer of analytics to real-time updates, resulting in accurate and timely insights. For example, a quick-thinking Hybrid AI could offer flight desk staffing, gate availability, and luggage rerouting suggestions in response to one delayed plane.
Often regarded among the most stressful occupations, air traffic controllers could benefit significantly from Hybrid AI as well. Southwest was at the center of another aviation mishap in February 2023 when a FedEx cargo plane narrowly missed a Southwest passenger plane.2 A crisis was averted, but near misses like these beg the question: When will the airline industry integrate AI into their technology stack to improve passenger safety?
Anomaly detection is a relatively mature AI application that detects issues prior to failure and takes necessary actions to prevent the failure from occurring. Anomaly detection can assist human operators in identifying air traffic jams, smoothing air traffic communications, and avoiding collisions. Similarly, it can aid in the following airline logistics:
Flight path deviations
Scheduling
Gate and luggage conflicts
On-tarmac logistics, such as fuel storage, de-icing, etc.
The more disruptions that can be avoided, the smoother (and safer) air travel will become. And the sooner the airline industry invests in AI, the more scalable and sustainable air travel operations will be for the future.
AI-enabled chatbots are now more frequently integrated into customer experience teams to assist in issue resolution. AI (specifically generative AI) has various applications across customer service, and its popularity across industries will likely skyrocket. Chatbots can churn out empathetic resolutions almost as well as any experienced customer service rep; however, unresolved customer gripes can stack up quickly after just one misstep. And the longer they sit, the more the brand and its public opinion suffers. Ultimately, the goal of any organization should be to cut down on the volume of complaints. It’s here where Hybrid AI shines.
Hybrid AI’s ability to inform quick and confident decisions is a boon to any overwhelmed customer service department. Plus, its usage in issue prediction and encoded actions can limit disruptions, keeping passengers happy.
AI of any sort allows leaders to accomplish more at-scale and to make quicker and more confident decisions. The airline industry is in major need of full-scale modernization to continue to ensure reliable and safe air travel. Industry leaders should seriously consider the many applications of Hybrid AI and start making moves to implement it to unburden short-staffed teams and guarantee smooth operations to minimize passenger complaints.
Connect today to learn more about Beyond Limits’ cognitive artificial intelligence solutions.
1Reuters, “Senators blast Southwest holiday meltdown, labeled ‘unmitigated disaster’”
2BBC, “Southwest and FedEx planes nearly collide at Texas airport”
03 FEBRUARY 2023
LOS ANGELES
Net-zero and sustainability are the future. Artificial intelligence is the vehicle to get us there.
The advancements so far in smart cities and alternative energy sources are providing a fascinating glimpse into what society and the environment could look like sooner than we think. The technology that’s going to truly revolutionize large-scale sustainability and make a net-zero future a reality is artificial intelligence. Specifically, here are a few AI trends likely to make waves in 2023.
A few years ago, every major business, technology, and lifestyle publication was lauding (or lamenting) how AI is coming off the movie screens and into more parts of daily home and work life. In 2023, expect a “cooling down” of AI. It’s no longer a novel idea and so far, Earth hasn’t become a lawless wasteland out of “Terminator.” The curiosity (and fear) stage of AI is mostly over, but technologists may hit more ceilings with the capabilities of AI.
As industries scramble to tailor AI to their niche needs, technologists must not be afraid of failure. There will be fewer and fewer instances of rousing AI successes because the technology will be challenged and molded to achieve much more than sorting simple data.
To succeed, projects with hefty budgets and teams with boundless patience are likely to be the most productive. AI solutions take time to perfect, and luckily mathematical frameworks — like graphical and hybrid modeling frameworks — are at a point where they can consume data and equations simultaneously. As a result, more guaranteed and more clean-cut solutions are possible. But again, it’ll take time, and in the AI game, time is money … and lots of it.
Just because the hype around AI is cooling down, doesn’t mean it’s going to be a quiet year. 2023 is set to be instrumental in the fight against climate change, especially in decarbonization advancements. Back in 2021, IBM was already using generative AI (the same technology behind online AI art generators) to accelerate the discovery of carbon dioxide-absorbing materials. More research is needed to find widely applicable solutions to carbon accounting. Generative AI’s aptitude for materials discovery will be a key partner in solving the crux of our generation: sustainability.
Battery innovation, such as those used in electric vehicles, will benefit from the sped-up research and development process. The cost of most EV models prohibits families and company vehicle fleets from
going electric; however, the faster innovation happens with the help of gen AI, the more widespread and less expensive EVs may become.
Another aspect of sustainability poised for evolution in 2023 is alternative energy. The urgency for such sources is not only spurred on by successive natural disasters but the energy crisis left in the wake of geopolitical conflict. Skyrocketing family energy bills, particularly in Europe, are putting even more public pressure on large-scale, clean energy solutions. Eliminating the use of natural gas as political leverage is the additional societal benefit (in addition to the obvious environmental boon) of wind, solar, geothermal, and hydro energy advancements.
Where there’s water, there’s life. In parts of the world, water is disappearing, and the life that relied upon it is either migrating or disappearing with it. Water infrastructure greatly benefits from AI in a few ways. First, AI can be introduced at the very beginning of the water infrastructure design process to create water-friendly and secure blueprints. Whenever the infrastructure springs a leak, AI-powered sensors or AI-informed sensor placement can help crews pinpoint and patch leaks quickly.
AI excels at data collection, and there’s a lot of data to be collected, sorted, and interpreted to find patterns in water consumption. For example, every degree (or half a degree) a thermometer ticks up or down affects the amount of water needed to water plants. AI can determine the optimal amounts needed to keep crops alive while using the least amount of water to do so.
While cleaner energy means continuing to enter the market, oil and gas companies can leverage AI to maximize the efficiency of energy production and operations. For example, oil and gas recruiters can leverage AI to bring in a new class of brilliant engineers; there’s currently a gap between experienced senior technicians on the cusp of retirement and the employees who must take their place. AI can aid in sourcing candidates and repairing the reputation of oil and gas that often repels exceptional talent.
Additionally, to continue to power the world as efficiently as possible, AI can aid in accurate monitor readings. Inaccurate readings become a problem when oil and gas companies report on their scope 1 and scope 2 emissions. When companies don’t have the best technology to report on their emissions accurately, the company overpays – thus depleting funds that should be invested in technology to improve readings. AI and automation can break this cycle by providing accurate readings, freeing more funds for technology advancement, and making oil and gas more efficient.
Earth is fragile. The time is now to hand operations over to AI-powered hands to cradle the planet into a net-zero and sustainable era. Carbon neutrality is possible, and 2023 will bring technologists closer to finding widespread and accessible solutions to usher in a greener future.
“Beyond Limits Formulation Advisor is a groundbreaking integrated AI software product that combines multiple steps of the engine lubricants formulation process, including historical data management, formulation, optimization, and engine test prediction into a cloud-hosted commercial application.”
Originally Announced: 3 March 2022
Los Angeles, CA
Beyond Limits was recently featured in AI Startups’ “Top 100 AI Startups in USA.” This list is a compilation of innovative AI startup companies that are breaking the mold and have received anywhere from $105M to $8.4B in funding. Beyond Limits is honored to be acknowledged on this prestigious list that recognizes the most cutting-edge AI startups in the country.
See the Full List – HERE.
READ ALL ABOUT HOW BEYOND LIMITS WAS A TWO-TIME HONOREE ON FORBES’ LIST OF AMERICA’S BEST STARTUP EMPLOYERS – HERE.
“From prestigious awards to unstoppable growth, Los Angeles is an undeniable hotspot for tech.”
Built In LA recently announced that Beyond Limits made their ‘9 Featured Companies of the Month’ list. Built In spotlight highlights nine industry trailblazers throughout Los Angeles who are prioritizing their people, culture, and growth.
“With a highly diverse management team and dedicated diversity and inclusion staff, Beyond Limits is serious about equity and inclusion in its workforce. The company also provides unconscious bias training and a diversity manifesto.” -Built In LA
READ THE ENTIRE FEATURE BY BUILT IN LA & GET ALL THE INFO – HERE.
From One Prestigious Recognition to Another
This recognition comes fresh off the heels of Built In LA awarding a spot on their coveted 2022 Best Places to Work Awards. Specifically, Beyond Limits earned a place under Built In’s ‘LA Best Midsize Companies to Work For’ category. The annual awards program includes companies of all sizes, from startup to enterprise, and honors both remote-first employers as well as companies within the eight largest tech markets across the U.S.
TO READ ABOUT BEYOND LIMITS’ 2022 BUILT IN LA RECOGNITION, CHECK OUT ALL THE DETAILS – HERE.
Beyond Limits has also found itself featured on Built In LA’s Best Places to Work Awards several times over the last few years. Continued recognition by Built In LA is a testament to Beyond Limits’ unceasing growth and advancement. It’s exciting for a company with accelerating growth like Beyond Limits to be recognized, in the middle of that progress, for its constant determination to promote a workplace atmosphere that places significance on inclusivity, diversity, and culture.
The honor of being recognized again this year by Built In is a testament to Beyond Limits’ enduring reputation for pioneering technology, as well as the steady endeavor to support our carefully curated team of talented industry experts. It’s gratifying for a fast-growing company like Beyond Limits to be acknowledged, in the midst of that progress, for its continued efforts to foster a reciprocally respectful environment that places importance on inclusivity, diversity, and mutual encouragement in the workplace.
TO GET ALL THE DETAILS ON BEYOND LIMITS’ PREVIOUS BUILT IN LA AWARDS, READ MORE – HERE.
Discover the Career that Will Propel You Beyond Limits
Beyond Limits’ Recruitment team has been busy filling illustrious positions across all areas of the organization, including Product, Technology, Marketing, Human Resources, Finance, and Sales departments. In today’s extremely competitive marketplace, we not only look for technical skills but also find it equally important to vet candidates in such a way that ensures a good fit with our culture of collaboration, excellence, and innovation.
Beyond Limits also offers an internship program (Beyonders) that provides upcoming graduating college students with the opportunity to gain unparalleled experiences and insights. Not to mention, a great deal of success has also been made when it comes to offering “above and beyonders” full-time positions. We welcome all experienced and newly graduated individuals interested in AI and who are considering a career at an organization that focuses on excellence and innovation.
BROWSE OUR CAREERS PAGE TO CHECK OUT ALL OUR OPEN POSITIONS – HERE.
Built In’s Best Places to Work Awards
Built In’s esteemed Best Places to Work Awards, now in its fourth year, honor companies across numerous categories: 100 Best Places to Work, 50 Best Small Places to Work, 100 Best Midsize Places to Work, 50 Companies with the Best Benefits and 50 Best Paying Companies, 100 Best Large Companies to Work For, and 50 Best Remote-First Places to Work
Built In: Getting the Inside Scoop on the Industries that Drive Your Interests
Built In is creating the largest platform for technology professionals globally. Monthly, more than three million of the industry’s most in-demand professionals visit the site from across the world. They rely on our platform to stay ahead of tech trends and news, develop their careers and find opportunities at companies whose values they share. Built In also serves 1,800 innovative companies of all sizes, ranging from startups to the Fortune 100. By putting their stories in front of our uniquely engaged audience, we help them hire otherwise hard-to-reach tech professionals, locally, nationally, or remotely.
For the second year in a row, on March 8th, Beyond Limits was awarded on the Forbes list of America’s Best Startup Employers 2022. This esteemed recognition spotlights companies across the country with high rankings for criteria involving employee satisfaction, employer reputation, and company growth. In partnership with market research company Statista, Forbes’ list was assembled through the process of assessing 2,500 U.S. businesses (founded between 2012 to 2019) with at least 50 employees.
TO CHECK OUT BEYOND LIMITS AWARD ON FORBES’ 2021 LIST, CHECK IT OUT – HERE.
“I am very excited that a respected entity like Forbes decided to list Beyond Limits as a top-ranking employer once again,” said AJ Abdallat, CEO and Co-founder, Beyond Limits. “Our company has made significant strides in critical sectors across the globe, utilizing some of the most advanced AI software products and solutions on the market today. This recognition is a testament to the unparalleled talent we foster at Beyond Limits; the people that make up an organization are the key to that company’s success.”
Comprehensive examinations were carried out across over 8 million data points, including a prospective company’s average length of employment, online employer reviews, and other pertinent, company-specific data around social media channels, news sites, micro-blogs, blogs, and social networks. Information involving a company’s website traffic, headcount growth rates, and industry-referenced job openings played important roles in the selection process as well.
DON’T MISS OUT ON THE CHANCE TO WORK WITH SOME OF THE SMARTEST PEOPLE YOU’LL EVER MEET, CHECK OUT OUR CAREER OPENINGS – HERE.
Beyond Limits is an enterprise-scale AI company that optimizes operations, boosts efficiency, and increases productivity for demanding industries including energy, utilities, and healthcare.
Beyond traditional artificial intelligence, Beyond Limits software products and solutions 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.
Founded in 2014, Beyond Limits leverages a significant investment portfolio of advanced technology developed at Caltech’s Jet Propulsion Laboratory for NASA space missions. The company has also recently been honored by Built In LA on their 2022 Best Places to Work Award, Frost & Sullivan (for the second time) as a Company of the Year for their 2021 Best Practices Award, Oil & Gas Engineering’s 2021 Product of the Year Awards, and CB Insights on their 2020 List of Top 100 Most Innovative Artificial Intelligence Startups.
Over the past few years, Beyond Limits’ growth trajectory has been one for the books. From winning several esteemed awards to ongoing international expansion, launching innovative AI products, and growing market value with strategic acquisitions, it doesn’t seem as though this ever-accelerating path of progress is going to slow anytime soon.
To Take a Closer Look at Forbes’ 2022 List, Check it out – here.
READ ALL ABOUT BUILT IN LA’S COMMENDATION OF BEYOND LIMITS ON THEIR 2022 LIST OF BEST PLACES TO WORK AWARDS – HERE.
Data is a critical component of artificial intelligence (AI). Many experts would probably even argue that data is in fact the most critical component of our most advanced form of technology to date. A fair analogy could even look something like, gravity is to Earth as data is to AI. Does that mean any kind of data works when it comes to AI software? Depends on who you ask. Much of the industry would likely argue that in order for artificial intelligence products and solutions to actually work, the data being gathered to train that AI must be good and/or clean data. Beyond Limits likes to take that notion and turn it on its head a bit.
“Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.” (SAS Institute Inc.)
“There are a lot of different methods for dealing with missing data that range from very simplistic statistical and interpolation approaches to advanced machine learning neural network techniques. With machine learning, you can utilize neural networks or autoencoders to essentially learn behavior from a group and infill those missing data sets as much as possible. You can also make use of the other analog data to which you do have access in order to try and predict what might make up the missing parts.” (Beyond Limits Manager AI Solutions, Michael Krause)
“We’ve moved beyond deep learning techniques to embed human knowledge and experiences into the AI algorithms, allowing for more complex decision-making to solve never-seen-before problems — those problems without historical data or references. Machine learning techniques equipped with encoded human knowledge allow for AI that lets users edit their knowledge base even after it’s been deployed. As it learns by interacting with more problems, data, and domain experts, the systems will become significantly more flexible and intelligent.” (Beyond Limits CEO, AJ Abdallat, CMSWire)
Beyond Limits recently announced the General Availability of a flagship product, LUMINAI Refinery Advisor – an AI for refinery cloud-based decision support software product that advises your operators on how to realize optimal refinery plans, guiding them to hit production planning targets while improving refinery operational and start-up dependability. Empower your operators to close the profitability gap in real-time, maximize efficiency, and operate closer to plan with this artificial intelligence-driven solution that captures the full refinery margin by upholding a holistic view of an entire site and making timely, transparent, and explainable recommendations.
“Only 40 percent of refiners delivered above-average returns over the past 10 years and 31 percent of the companies were negatively disrupted.” (Deloitte Insights)
“The addition of a symbolic AI approach, layered on top of conventional artificial intelligence methods, has been an invaluable technological advancement. Capturing and encoding domain knowledge, expertise, and best practices vastly reduces the amount of data necessary for AI applications to function effectively. The explainability factor that comes along with this approach establishes trust in the technology which has been invaluable for accelerating user adoption and configuration – as compared to long model training requirements for solutions that employ machine learning alone.” (Michael Krause, Senior Manager of AI Solutions)
The Society of Petroleum Engineers (SPE), a global industry organization, found that nearly 54% of its members are over 55 years old. 44% of Generation Y and 62% of Generation Z say a career in oil and gas is unappealing. (EY Global)
21 November 2021
Dubai, UAE
The expansion follows the company’s latest funding round led by UAE’s G42. The US-based pioneer in enterprise and industrial artificial intelligence launched a new product to accelerate the adoption of AI for companies in the energy sector.
UAE, Dubai, 21 November 2021 – Beyond Limits, a pioneer in industrial and enterprise-grade artificial intelligence (AI) technology, today announced its expansion to the Middle East. The company will be regionally headquartered in Dubai with operations across the greater EMEA region.
Drawing on AI expertise developed at NASA, Beyond Limits creates hybrid AI solutions for energy, utilities, finance, and healthcare powered by ‘Cognitive AI’ technology, designed to address complex challenges and as a result, elevate operational insights, improve operating conditions, enhance performance at every level, and ultimately increase profits.
The technology replicates human-like intelligence by combining numeric techniques like machine learning with embedded human knowledge to provide clear, reliable recommendations that can match the in-depth understanding and experience of human experts.
In response to the region’s accelerated digital transformation, Beyond Limits seeks to empower organizations to take advantage of the transformative benefits that AI technology can offer to support in the most demanding sectors they operate in. The new office, located in Dubai Internet City, will act as a platform for the company to drive its operations in MENA.
Beyond Limits recently partnered with G42, the Abu Dhabi-based Artificial Intelligence and Cloud Computing company, where the latter led a milestone funding round to boost Beyond Limits’ scale and reach in the Middle East across other markets, and to explore synergies between the two companies in applying advanced AI solutions.
AJ Abdallat, CEO of Beyond Limits, said: “Beyond Limits is very pleased to announce its expansion to the Middle East with a new office in the UAE and to be taking this important step in building our presence in such a dynamic region. “Countries in the region are always taking bold steps to establish a culture of innovation and set AI strategies that enable the digital transformation of their economies, and Beyond Limits is committed to using advanced artificial intelligence to close the skills gap and improve human performance. I believe that we have a lot of synergy with the leading industries of the Middle East, and we look forward to exploring the new opportunities that the region represents,” he added.
Peng Xiao, Group CEO, G42 said “We are pleased to see Beyond Limits establish a regional presence in the UAE, in response to the region’s accelerated digital transformation and increasing adoption of advanced technologies. Beyond Limits’ AI capabilities will bring new levels of intelligence and efficiency to high-impact sectors in the UAE and the region, helping drive future economic growth. We look forward to collaborating and co-creating with them to further strengthen our respective offerings, drive innovation and unlock opportunities for growth and positive progress, across a wide range of industries and societies.”
LEARN MORE ABOUT BEYOND LIMITS PRODUCTS HERE.
“Through comprehensive desk research, literature reviews and expert interviews, the report explores the opportunities and challenges of artificial intelligence (AI) as it relates to cybersecurity. Specifically, this report explores the issue from two angles: how AI can help strengthen security by, for example, detecting fraudulent behavior more easily than human watch dogs can; and how the growing need for data to train AI systems is intensifying concerns around privacy and what companies need to watch out for.” (Pillsbury 3)
“Absolutely it is a disadvantage. If we had a national system, it would allow us to focus on one uniform system because now, the resources I’m putting to basically look at 50 different sets of protocols and procedures, those resources can actually work on innovation and on deployment of solutions instead.” (Abdallat, Pillsbury 15)
“Ultimately, I believe that AI is going to create more jobs, because AI can open the doors for us to go after more creative problems and allow us to go after challenges that were not achievable by human individuals alone.” (Abdallat, Pillsbury 14)
“I think companies that invest in creating a strong infrastructure with policies and invest in training management and people are going to succeed whereas others who are taking it lightly are coming to the short end of the stick. You want to find that right balance, where you want to minimize the number of people that need to get involved, so you’re reducing your risk, but at the same time, you have oversight— and you also still have human involvement.” (Abdallat, Pillsbury 20)
“A digital-ready company culture must exist with an innovation-minded team that’s empowered to implement structural transitions kicked into high gear by the adoption of AI technology. It’s vital this culture places importance on data-driven decision-making instead of defaulting to legacy approaches. This is where your AI investment will either thrive or fall flat.” (Abdallat, Forbes)
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