Filter the signal from the noise, and turn data into your superpower.
It’s helpful to know what happened in the past. But it’s much more powerful to know what will happen in the future and how you can influence it.
We’ll help you to lead rather than lag, using big data to answer big questions, such as:
Predictive analytics help you know what might happen, prepare a response ahead of time, get ahead of the risks, and influence the outcomes. It’s like looking ahead with a telescope, not glancing through the rear-view mirror.
We’re helping our clients use AI to do what they do faster, cheaper and more accurately than they’ve ever been able to do. Machines can read terms and conditions. They can predict behaviour on transport systems. They can pick out faces in crowds.
Our AI teams are made up of specialists in cognitive computing, deep learning, machine learning and natural language processing and generation. They’ll help you turn the data you own into living, breathing insight and action in your organisation.
If something doesn’t look right, it probably isn’t right. But what if you can’t see it? That’s where anomaly detection comes in.
We’ll help you build the technology to spot the outliers that could spell trouble for your organisation. Unusual financial activity or spikes in transactions that could spell fraud. Unexpected fault reports in systems that could turn into defects. Or surprising results in medical reports that shouldn’t go unchecked.
The data is there. You just need to know how to find it.
If you’ve got the right data, and enough of it, you can predict the likely outcome of any given situation.
We’ve helped clients in the transport sector use big data and predictive analytics to see the impact of maintenance on transport routes - and model how people’s behaviour will change as a reaction. We’ve helped retailers combine insight from their store footprints, logistics and customer behaviour to accurately plan staffing levels, weeks in advance.
Thanks to data and analytics, you can turn a theoretical situation into a dress rehearsal.
We use technology including virtual studios, gamification and other computer-generated simulations to help our clients answer the question: what if?
We can take advanced analysis and modelling, and apply it to a real-world world scenarios, so you can trial your response. See the effects of shutting down a transport network. Test how prepared you are to react to a systems outage. Simulate what would happen in the face of a major catastrophe.
So you’re ready and prepared when the real thing happens.
Artificial intelligence (AI) models can be so complex that people perceive them as a «black box». Responsible AI solutions for your customers are only effective if your workforce and customers are able to trust them. PwC helps you make AI explainable and helps you harness the power of AI in an ethical and responsible manner.
Supply chains everywhere are being disrupted by digital technologies and AI. Find out how to make your supply chains bionic and give your business an edge.
If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?
Creating and maintaining ethical artificial intelligence products is the cause du jour, but while the intentions are good, operationalising them is a lot harder. Companies must consider context and compromise as they expand their use of AI.
Governments are vying with each other to develop national AI strategies to attract and foster business investment and innovation. We look at policy making and national AI strategies.
Demand for chips related to the rapidly growing use of AI will contribute significantly to the semiconductor industry’s overall growth. Much of that demand is coming from the automotive and industrial markets.
PwC has been positioned in the Leaders quadrant of Gartner’s February 2019 Magic Quadrant for Data and Analytics Services Providers, Worldwide.
Online brands are opening brick-and-mortar shops are doing to transform the in-store experience. Visit Strategy + Business to find out more.
