Every industry and every business has its own big challenges. For the financial services industry, that holy grail is accurate market forecasting; For logistics companies, optimizing freight transport could ensure near-instant delivery times are met, while drastically reducing environmental impacts. For pharmaceutical companies, preventive disease screening would be transformative.
And just like in Teslawe are witnessing the rise of a new class of machines that are pushing the boundaries of what computers can solve and that will make these core challenges attainable.
The reality is that more and more data is being created and collected every day, and businesses want to harness the insights that emerge from it, driving the demand for greater computing capabilities.
While quantum computing is the pinnacle of next-generation problem solving, the current generation of high-performance computers (HPCs), with massive parallel processing capabilities like dojoit can help businesses tap into swaths of data that may be too expensive or inefficient for traditional computing to process.
Biologically inspired computing is another class of capabilities that draws on or directly relies on natural biological processes to store data, solve problems, or model complex systems in fundamentally different ways. Neuromorphic chips have introduced an entirely new design in computer architecture that is modeled after the human brain. These chips use artificial neurons to transmit information and offer an alternative to power current AI systems.
Applied in the field of robotics, these machines can execute a set of instructions, but also adapt, react and learn about their environment, while allowing a more natural interaction in a more efficient way. All of this has a transformative impact on the practical performance of real-world tools like drones.
But this is only the beginning. While immensely powerful, HPC machines are still ‘just’ classical computers, and bio-inspired computing is ‘just’ a new approach to similar problems. The biggest defining moment for computing will be when quantum computers solve problems that were considered literally intractable, making the impossible possible.
In our latest Technology Vision 2022 report, we found that 69% of global executives believe that quantum computing will have a revolutionary or transformational impact on their organizations in the future.
Many companies are vying to claim to have achieved ‘quantum supremacy’ first, but quantum research undoubtedly still has a long way to go. Nonetheless, the potential to predict outcomes from highly uncertain variables has a wide range of applications including sales forecasting, robotics, drug discovery, and of course financial markets, with some expecting great progress to be made in the coming years. two to four years. When these quantum computers emerge, adoption is likely to widen rapidly.
In this scenario, companies must begin to assess how these technologies will shape their own business. What problems are considered simply the cost of doing business? How would you reshape the business if you could start solving them? Can you break ground with partners or within a consortium? Organizations must begin to identify their knowledge gaps. And in a world where we’re already experiencing a technology skills shortage, they need to plan to develop the talent needed to implement bold new plans.
For decades, computers that could efficiently solve the world’s “grand challenges” have been nothing more than theoretical concepts. But companies no longer have the luxury of thinking about them in the abstract. They are here and improving fast. Its impact on industries most fundamental problems may be an industry-ending event or the greatest opportunity in generations. Companies that begin to anticipate a future with these machines will have the best chance for the latter.
David Caskie, Corporate and Community Citizenship Sponsor, Accenture in Scotland