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AI Solutions Explained: Quantum Computing and Predictive Analytics

Making the most of your AI solutions means having the technology and hardware in place to support the software’s full capabilities. Quantum computing and predictive analytics are two powerful tools to maximise the effectiveness of your AI solutions, offering further synergy and efficiency for your operations.

At Future Workforce, we help businesses to nurture their growth through keen implementation of AI solutions and technology, fostering a holistic mindset of unity. In this article we’ll explain both predictive analytics and quantum computing, and show how they can work together to achieve the greatest results.

Make your AI and other digital technologies work as one – contact us today.

What is Predictive Analytics?

Predictive analytics is the process of using data to forecast future outcomes. It does this via observing trends, patterns, and factors that are affecting both the current situation and ones that could arise in the future.

Since data is the primary resource for predictive analytics, the more that is available, the more accurate the analysis will be. AI solutions come into great effect here, as not only can they gather and vet large amounts of data, but they can also harness it – offering a level of insight and data processing that human operators would take far longer to achieve.

Predictive analytics is an incredibly important part of any business, as it shows where to invest your time and money – and what the likely returns will be. As such, anything that can enhance this process, such as AI solutions or quantum computing, will act as a springboard for your business’ growth.

What is Quantum Computing?

IBM defines quantum computing as “an emergent field of cutting-edge computer science harnessing the unique qualities of quantum mechanics to solve problems beyond the ability of even the most powerful classical computers.”

At Future Workforce, we believe quantum computing is the next step to fully realising the true power and potential of AI and other digital technologies and processes like predictive analytics.

The primary feature of a quantum computer is the use of ‘qubits’. These replace traditional ‘bits’ that classic computers use, offering a greater dimensionality of information storage. While each qubit can only have a single output, they can store multiple variable states of data at once, scaling exponentially with the number of qubits in the system (as opposed to linearly like bits).

At the bottom line, this means that quantum computing is far more effective at manipulating and storing data than traditional computers. By making full use of the principles of quantum mechanics – superposition, entanglement, decoherence, interference – the possibilities are almost endless.

Currently, quantum computing is regarded as an investigatory and experimental field. However, as it develops, you will find new opportunities for high-speed detection, analysis capabilities, integration, and diagnosis – making this a field to keep a keen eye on.

How can Quantum Computing Enhance Predictive Analytics?

The combined forces of quantum computing and predictive analysis provide a whole host of opportunities. When these concepts are used together, more data can be processed in a shorter time using systems that require the same power and space as classical devices.

Being able to process more data at once through the exponential computing power of quantum computing and qubits gives rise to even more accurate predictions, pulling in relevant information from even the most obscure sources. A full overview of what the future may look like gives rise to better decision making and greater returns for your business.

Making the Most of Quantum Computing & Predictive Analytics

Data storage. With quantum computing, even larger data sets are possible, meaning you can utilise this data to enhance your predictive analytics and other AI-powered solutions.

Data management. As well as storing data, the increased computational power of quantum computing means you can manage it better as well, leading to more accurate outputs for other software like GenAI.

Check out our ultimate guide to GenAI >

Forecasting. Looking into the future through predictive analytics, you can determine costs, budgets, and technologies that may arise – allowing you to adopt a strategy that guides the future rather than simply bracing for it.

Vetting data. A greater range of capabilities for AI through quantum computing means a better understanding of the data sets it uses, so AI vetting of data can now be both more accurate and faster.

Instant processing. The extreme power and potential of quantum computing means your AI solutions can make decisions and process outputs at a far greater speed than before, offering near-instant processing that can open up avenues that may otherwise be unavailable – like in customer service, code generation, or strategy guidance.

Optimise Your AI Solutions with Future Workforce

Predictive analytics supports your business growth by predicting the future, and quantum computing enhances all your digital technologies through exponential computing power. AI solutions can synergise with both, offering holistic predictions and utilising quantum computing to increase the scope and power of all your AI implementations.

At Future Workforce, we can help you achieve the right combination of AI solutions and other technologies to help your business grow in the way that works for you. Get in touch today to find out more!

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Meet the Authors

Dan Johnson

Dan Johnson

Director

Director and Co-founder at FWF UK. Dan has committed his career to the technology industry and has over a decade of experience working at senior strategic levels in Financial Services, including Insurance Process Automation Lead at Accenture UK&I and Head of Automation at Close Brothers Bank.

Contact Dan