The phrase “disruptive technology” is thrown around a lot these days, but there’s no industry where its effects can be more keenly seen than banking. With the rise of digital-only fintech companies like Monzo, Iwoca, and eToro, traditional banking is being forced to step up and compete. But with fintech companies developing so rapidly, how can banks keep pace? Well, one option is machine learning, or ML. Here are just a few ways that machine learning can help banks stay relevant.
The energy industry is going through a major period of transition. Countries around the world are being forced to move away from traditional fuel sources such as coal, oil and gas, and are instead focused on the continual development of the renewables sector.
However, when it comes to making the most of this relatively new form of energy generation, it is essential to embrace equipment, technologies and processes that can increase efficiency levels across the board. To that end, machine learning is crucial.
You have probably heard of or encountered artificial intelligence (or AI) technology in large financial institutions. Recent technological advancements have increasingly made AI a powerful and essential tool in the sector. In fact, the prospects of AI-based systems in the banking sector have never been greater. However, not every bank understands the key considerations that should be made before implementing such systems. Remarkable precision at the planning stage is needed before implementing changes to avoid possible losses and inefficiency. Even as you dial up your initiatives to implement cutting-edge AI technologies in your bank, it is important to make the following considerations:
Throughout the years, data has been a vital cog in the wheels of the insurance sector. What has disrupted our current setting is the amount of data generated and the speed at which machines are processing the data to unravel new insights. Through artificial intelligence and machine learning, the insurance industry is slowly undergoing a rapid transformation in several ways. We’ll look at some changes below:
You can barely open a newspaper these days without reading an article on how AI is going to revolutionise every conceivable industry, sector or business. And that's for one very good reason; it's true.
Artificial intelligence, which incorporates the fields of big data, advanced analytics, smart factory developments and machine learning, is helping any number of organisations around the globe to operate more efficiently so that they can minimise waste, enhance their levels of productivity and ultimately increase profit levels.
AI is helping businesses to transform how they operate for the better, but there are still challenges to avoid and hurdles to overcome. So why not check out Aqovia's Artificial Intelligence Management Platform A1
If there is one innovation that has dramatically shaped the future of the financial services industry throughout the entire value chain, it is artificial intelligence (AI). The technology has spread rapidly across the financial sector and has greatly revolutionised banking.
Let’s look at five ways AI is already transforming the banking industry:
With climate change threats looming closer every day, renewable energy is fast becoming one of the favoured methods to help combat the planet’s huge carbon footprint. Luckily, artificial intelligence is developing in more ways than anyone could have imagined fifty years ago. Here are just a few of the ways that AI can help us to reform how we create and use renewable energy.
The European Union (EU) has recently published a set of guidelines on how companies and states should develop the ethical application of artificial intelligence (AI).