Keeping African goods moving
Obi Ozor, the founder of Kobo360, a data-driven logistics startup based in Nigeria, explains how COVID-19 is accelerating digitization, which in turn is improving food security in Africa.
Apply advanced analytics
Filter the signal from the noise, and turn data into your superpower.
Predictive analytics: See into the future
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:
- Which deals are most likely to succeed or fail, and which M&A data is most useful?
- How will AI and machine learning impact my business, and how can I be prepared for Industry 4.0?
- Where is fraud taking place in my organisation and how can risk analytics help?
- Can I monetise and commercialise data and improve revenues and margins?
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.
Man and machine, in partnership
Duration: 1.26
How we can help you
Artificial intelligence
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.
Anomaly detection
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.
Predictive modelling
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.
Simulation
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.
Explore our insights
Responsible AI is even more essential during a crisis
Rolling out innovative technologies carefully and strategically can build trust.
Democratizing artificial intelligence is a double-edged sword
More access to AI tools means more innovation, but the process of providing this access must be carefully managed. Visit strategy+business to find out more.
Comprehensive AI governance needed now
Whichever country you are in, no matter how old you are and what you do - we will all be impacted by the rise of AI. We need to get AI right and we need to do that now.
Governance is the foundation of responsible AI
If applied in a responsible manner, artificial intelligence (AI) offers vast opportunities. However, these benefits can only come from understandable and ethical AI that your stakeholders can trust. A sound end-to-end governance framework can ensure that your AI applications and systems meet their full potential.
If AI isn’t responsible, it isn’t truly intelligent
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.
AI-powered supply chains: Making your supply chain bionic
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.
Five practical steps to make Artificial Intelligence (AI) interpretable
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?
