Artificial Intelligence (AI)
Artificial Intelligence does pretty much what the name implies: simulates human-like intelligent behaviour in computers. It does this by using algorithms and iterative processing to find patterns in databases, sorting through enormous amounts of data infinitely faster than a human being ever could. By identifying these patterns, the AI learns to make intelligent decisions and predictions.
Most examples of AI that you hear about – such as driverless cars or chess-playing computers – rely heavily on a machine learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognising patterns in the data.
Machine learning is a subset of AI that identifies repeating patterns in databases to make informed decisions without being given explicit instructions on how to do this, although it still requires some human intervention to tell if these decisions make sense.
Netflix's recommendations are an example of machine learning. By collating your watch history with that of other users, Netflix's machine-learning algorithms learn about your preferences and suggest new shows accordingly. Spotify does the same thing.
Deep learning – a term often used interchangeably with machine learning – is a subset of machine learning, with the difference that deep-learning algorithms are structured to create artificial neural networks capable of learning from data, making predictions and determining on their own whether or not their predictions are accurate. The most human-like examples of AI are powered by deep learning.
Why invest in AI?
With the exponential evolution of technology and its integration into basically every industry worldwide, the prevalence of AI and machine learning is only set to grow. In 2016, the global AI market was valued at $4,065m; by 2025, it is expected to reach $169,411.8m. The biggest players in tech, from Apple to Microsoft, Amazon to Facebook, are investing in building their AI capabilities; 'In the long run, we're evolving in computing from a "mobile-first" to an "AI-first" world,' Google CEO Sundar Pichai announced back in 2016.
As well as pure AI businesses, it's likely that you will see more and more companies incorporating AI into their operations – for instance, a healthcare company might offer practical treatments while using AI to help diagnose its patients.
Why invest with SyndicateRoom?
SyndicateRoom gives investors access to growing businesses across many different sectors, including AI and machine learning. Some recent machine-learning startups our members helped fund are Liopa, a startup that uses the front camera on your phone to read lips, and infloAi, which gives companies a sustainable way to monetise their online presence by providing curated digital content.
As with any investment portfolio, diversification is a key strategy to help mitigate your risk. SyndicateRoom enables you to invest in businesses from many different sectors through a single, easy-to-use platform. Want to simplify the process even further? Let our data-driven Access EIS fund build a diversified startup portfolio for you.
What SyndicateRoom offers:
SyndicateRoom is the only equity crowdfunding platform that allows you to invest on the same economic terms as the lead investor. The lead investor sets the valuation of the company and conducts due diligence prior to the company going live on the platform
Investors receive the same class of shares no matter how much they invest
Equity crowdfunding offers you the opportunity to create a diversified investment portfolio
AI investment portfolio
SyndicateRoom is FREE to join
With SyndicateRoom you gain access to invest alongside professional investors receiving the same share class and same share price.