Monitor Social Media “A low-cost, easy application of AI that would not place a financial strain on small businesses—and is also very useful—is social media monitoring. Small businesses rely heavily on social media for their marketing, and AI can help with monitoring social media for brand mentions, sentiment analysis and engagement tracking.” – AJ Abdallat, Beyond Limits
“Outsmarting Its Operators: An example people often don’t think of is how AI systems can ultimately beat humans—and not in a good way, where we relish seeing their output getting higher and better. AI systems are built in a way that allows them to constantly improve and get smarter. Gradually, this evolves into them outsmarting the operators running them, so when they go rogue, nobody will know how to stop them.” – AJ Abdallat, Beyond Limits
“Improving Material Discovery And Battery Design In the fields of material discovery and digital chemistry, AI can provide accurate insights that help researchers predict chemical properties, allowing for better utilization of resources. It can also predict battery performance and stamina, thereby optimizing processes for sustainable energy production and energy storage. All this leads to conservation of resources and less waste generation.” –AJ Abdallat, Beyond Limits
“Improving Material Discovery And Battery Design
In the fields of material discovery and digital chemistry, AI can provide accurate insights that help researchers predict chemical properties, allowing for better utilization of resources. It can also predict battery performance and stamina, thereby optimizing processes for sustainable energy production and energy storage. All this leads to conservation of resources and less waste generation.” –AJ Abdallat, Beyond Limits
“Fleet management can be improved with the help of predictive technology such as artificial intelligence. By analyzing historical data, companies can establish fleet operations that are more efficient and cost-effective through such measures as optimizing resources and fuel consumption based on information from relevant data points.” – AJ Abdallat, Beyond Limits
“The use of AI in materials discovery and digital chemistry can accelerate the discovery of new materials for more sustainable automation and transportation, as well as more eco-friendly and high-quality consumer goods packaging. Moreover, for battery technologies, it can optimize processes for sustainable energy production and storage and help predict battery performance and stamina.” – AJ Abdallat, Beyond Limits
“Tapping on Cognitive AI helps to ensure the accuracy and reliability of AI-generated measurements, as it can provide reliable recommendations even under circumstances with limited data availability or when data is contradictory, and in situations where making decisions can pose a high level of risk due to uncertainty.” –Leonard Lee, President, APAC, Beyond Limits
“Smart cities can only live up to their name if they employ smart grids for energy sustainability. Smart grids can effectively rationalize the distribution of power in a grid, personalize energy distribution according to users’ past behaviors and patterns, and instantly detect anomalies that can foreshadow a potential outage. Supply and demand become efficiently balanced and optimized.” –AJ Abdallat, Beyond Limits
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.
Companies to develop disruptive hybrid quantum AI algorithms, introduce a joint education and training offering, and explore quantum hardware collaboration in Singapore in this industry-first partnership.
Beyond Limits, a leading enterprise-grade artificial intelligence (AI) software company built for the most demanding sectors, has signed a Memorandum of Understanding (MOU) with IQM Quantum Computers, the European leader in building quantum computers, to drive the advancement of quantum AI technology within the Asia Pacific (APAC) region. The partnership, an industry first between quantum computing and AI, will explore technology breakthroughs and develop disruptive hybrid quantum AI algorithms, which rank among the top five technologies of the future by the Infocomm Media Development Authority of Singapore (IMDA).
As part of the MOU, Beyond Limits and IQM Quantum Computers seek to pioneer a Quantum AI education and training offering, and new product research opportunities by the end of this year. The companies will also develop industry use cases together within the next two years. In addition, the partnership will lay the groundwork for quantum hardware collaboration in Singapore, aimed at accelerating research and innovation within the regional quantum ecosystem.
“Quantum AI is a growing field of technology, and we see many cross-sector opportunities especially within heavy weight industries, from oil and gas and manufacturing to aviation, healthcare, and financial services. This strategic partnership enables us to leverage the power of quantum computers to future-proof AI algorithms, and help our customers reap the early benefits of commercial quantum computing. With our highly innovative technologies, strong research, and development capabilities, as well as presence within APAC, we are confident that together, we are able to support our customers to effectively address key challenges, such as material discovery for decarbonisation,” said David Liu, Executive Vice President, Global Partnerships and Channels, Beyond Limits.
Singapore, Malaysia, and Indonesia are home to some of the largest data centres in the world, and the planned joint offerings will be a unique differentiator for large-scale industrial enterprises within the APAC region. Both companies will leverage the combination of talent, world-class research, and a vibrant tech ecosystem to spearhead the region as a natural centre for quantum AI development in the near future.
“This partnership with Beyond Limits reinforces our commitment to quantum technology development in APAC. In line with our recent office opening in Singapore, we aim to accelerate research, development, and education of quantum technology through strategic private-public collaborations in the value chain. This MOU is one of the several initiatives underway in the region to strengthen our position as a trusted quantum computing leader here,” said Dr. Juha Vartiainen, Chief Operating Officer and Co-founder of IQM Quantum Computers.
“The quantum ecosystem in APAC is growing rapidly. Our partnership with Beyond Limits positions us as the first mover to leverage the competitive edge that quantum AI brings. We are excited to tap into these new opportunities together. With our technical track record and world-class expertise, combined with Beyond Limits’ cutting-edge cognitive AI solutions, we will integrate our innovative experience to better serve existing and new customers in the heavy weight industries,” said Raghunath Koduvayur, Head of Asia Pacific Business at IQM Quantum Computers.
While quantum computing and AI development have traditionally occurred in silos, Beyond Limits and IQM Quantum Computers are pioneers to have joined forces, harnessing their respective domain expertise. The partnership has great synergy as both companies are growth and science-driven scaleups that are focused on ground-breaking innovation, making them well-equipped to power quantum AI growth in APAC and effectively solve problems of the future for customers.
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Beyond Limits Asia-Pacific is an enterprise-scale AI company that optimises operations, boosts efficiency, and increases productivity for demanding industries including energy, advanced manufacturing, fintech and healthcare.
Beyond traditional artificial intelligence, Beyond Limits’ software products are powered by award-winning Cognitive AI technology, utilising 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.
Beyond Limits Asia Pacific is regionally headquartered in Singapore with operations in Hong Kong, Shenzhen, Taipei and Tokyo. The regional headquarters drives strategic investments for joint ventures and partnerships in Asia to expand Beyond Limits’ AI in verticals including financial services, led by the Hong Kong office, advanced manufacturing, led the Taiwan office, and the energy sector led by the Singapore, Shenzhen and Tokyo offices.
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 was recently honoured by Frost & Sullivan as a Company of the Year for their 2021 Best Practices Award and by CB Insights on their 2020 List of Top 100 Most Innovative Artificial Intelligence Startups.
For more information, please visit www.beyond.ai.
IQM is the European leader in building quantum computers. IQM provides on-premises quantum computers for supercomputing centres and research labs and offers full access to its hardware. For industrial customers, IQM delivers quantum advantage through a unique application-specific, co-design approach. IQM’s commercial quantum computers include Finland’s first commercial 54-qubit quantum computer with VTT, IQM-led consortium’s (Q-Exa) HPC quantum accelerator in Germany, and IQM processors will also be used in the first quantum accelerator in Spain. IQM has over 250 employees with offices in Paris, Madrid, Munich, Singapore, and Espoo.
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(From left to right): Dr. Jan Goetz, CEO and Co-founder of IQM Quantum Computers
“Businesses looking to adopt more sustainable and energy-efficient models can hugely benefit from generative AI. Generative AI algorithms can be used to model and simulate energy systems, identify inefficiencies and other areas of improvement, and propose optimal solutions that conserve energy and promote decarbonization.” – AJ Abdallat, Beyond Limits
Discover how Asia Pacific’s manufacturing powerhouses are revolutionizing the industry with smart manufacturing and Cognitive AI. In a recent article published in Smart Manufacturing Today, Leonard Lee, President of APAC of Beyond Limits, highlights the opportunities and challenges faced by manufacturers in embracing AI technology. From boosting efficiency and reducing expenses to improving decision-making capabilities, this article provides valuable insights into how Cognitive AI can provide a competitive advantage in the manufacturing sector.
“Cognitive AI acts as a ‘glass box,’ providing detailed justifications for its suggestions by illustrating evidence and risks with clear audit trails. By combining the best features of technology and existing human expertise, stakeholders can trust Cognitive AI during critical decision-making processes, bridging the gaps and delivering the best results.” – Leonard Lee, President APAC, Beyond Limits.
Read the full article- HERE.
“Environmental and energy leaders must continue to hone AI’s capabilities to achieve a net zero society. Governments around the world, including the Biden administration, are handing over the funds. Now, brilliant minds must turn those funds into action and a greener future.”
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