In the next few years, mobile network operators might be using artificial intelligence to put the right infrastructure in the right place, according to research conducted by Bain & Company. Wireless infrastructure has an important place within the universe of mobile network infrastructure, which also includes a core switched network for voice calls and text, a packet switched network for mobile data and the public switched telephone network to connect subscribers to the wider telephony network. Wireless infrastructure includes the radio base stations, antennas and their support structures, and cables and optical fiber that connect antennas, base stations and network cores. According to IBM Cloud Education, at its simplest form, artificial intelligence combines computer science and robust datasets to enable problem solving. It also encompasses machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence, IBM's description reads.

While working on numerous data science projects, I have seen that that most data scientists adopt a haphazard approach when they work on a data science problem. While it is understandable that Data Science is both art as well as science, it is important to have some method to the madness. Most people I see just take the data and start throwing algorithms, hoping that they would achieve success through brute force. In most cases, this does not result into a favorable outcome. The business users also get frustrated and then it would appear that data science is nothing more than a fad.

Filmed at Future Decoded 2019. Cloud28 is the world's largest independent community, promoting cloud services and knowledge sharing. It serves end customers, cloud service providers, solution providers, ISVs, systems integrators, distributors, and government entities dedicated to accelerating enterprise Cloud adoption.

As more businesses adopt advanced AI tools, they are being prompted to overhaul their existing IT landscape to cope with the added complexity. Claranet's Tanaz Gould explains how they're helping customers create the right infrastructure to cater for these new Machine Learning and Deep Learning workloads.Filmed at Future Decoded 2019.

If you read the tech press, you'll hear that artificial intelligence (AI) is all the rage these days. And whether or not they are doing it well, everyone is saying that they're engaging in AI. One thing is certain: organizations across industries are running fast to be a part of the AI revolution. In this two-part series, I'll examine what's driving this rapid pace of adoption, and why some companies are seeing far more success than others. In part one, I'll discuss some of the needs inherent in creating an AI solution.

Last week, I talked about how implementing AI solutions in your organization is a lot like climbing a ladder–going it alone can be risky, but a good AI infrastructure is like having a trustworthy friend to help steady your climb. In my view, a crucial piece of that infrastructure support is the IBM Power AI Enterprise Platform. This new technology offers a comprehensive infrastructure environment designed to address the key requirements for AI initiatives. In other words, to help you start climbing the AI Ladder with confidence and speed, mitigating risk. Let's take a look at how PowerAI Enterprise helps accelerate each step of your AI journey.

Territory Manager, Autodesk Africa, Mr. Simon Bromfield, who was in Nigeria for the Autodesk Future Forum, spoke with Emma Okonji on the need for different sectors of the economy to adopt emerging technologies for business growth. What is your view about Nigeria's manufacturing industry? One of the challenges about Nigeria's manufacturing industry is the issue of doing things in silos instead of through collaboration and integration. Everyone wants to control his or her business and they do not want to share ideas with others. Nigerians need to work together to build better projects and that is the secret of global industries because they share ideas and build on existing ideas that are workable.

The UK government pledged in May to use artificial intelligence (AI) to prevent more than 20,000 cancer-related deaths a year by 2033, with the prime minister's plans being welcomed by health charities and industry alike. But with the world still reeling from social media data breaches, will the public be open to sharing the most private of information on the scale needed for Theresa May's vision to become a reality? And even if they are, will the information be in any fit state to be shared? On the face of it, the NHS is the perfect place for AI and big data to come together to revolutionise the way diseases are diagnosed and treated. Every day, the health service has access to reams of the 21st century's most precious commodity – data.

The diagnosis of cancer and other diseases in the UK can be transformed by using artificial intelligence, Theresa May is to say. The NHS and technology companies should use AI as a "new weapon" in research, the PM will urge in a speech later. Experts say it can be used to help prevent 22,000 cancer deaths a year by 2033 while aiding the fight against heart disease, diabetes and dementia. High-skilled science jobs will also be created, Mrs May is to pledge. Speaking in Macclesfield, Mrs May will say: "Late diagnosis of otherwise treatable illnesses is one of the biggest causes of avoidable deaths. "And the development of smart technologies to analyse great quantities of data quickly and with a higher degree of accuracy than is possible by human beings opens up a whole new field of medical research." The prime minister wants to see computer algorithms sifting through patients' medical records, genetic data and lifestyle habits to spot cancer. BBC health and science correspondent James Gallagher says Mrs May's plans do chime with excitement within medical science about the potential of using data and AI. But our correspondent added there are many challenges ahead including creating the right infrastructure within the health service, separating hype and genuine innovation and ensuring the public's highly personal data is used responsibly. Cancer Research UK says halving the number of lung, bowel, prostate and ovarian cancers diagnosed at an advanced stage could prevent thousands of deaths a year. Sir Harpal Kumar, chief executive officer of Cancer Research, described the government's plans as pioneering but added: "We need to ensure we have the right infrastructure, embedded in our health system, to make this possible." Simon Gillespie, chief executive at the British Heart Foundation, said: "Using artificial intelligence to analyse MRI scans could spot early signs of heart disease which may be missed by current techniques.