We help businesses leverage artificial intelligence, machine learning, neural networks and deep learning to achieve next-level productivity and operational excellence over their competitors.
Artificial intelligence (AI) is no longer science fiction. Here are some examples of how artificial intelligence (AI) is being deployed today.
In marketing:
Social media platforms have been using machine learning to curate and recommend content and advertisements to users. For example, given the sheer volume of user-generated content on Facebook, its algorithm personalises individualised news feed based on past behaviour so that you as the user is not overwhelmed by thousands of posts every time you log on to the platform.
In customer service:
Most chatbots are programmed and although customer service can be automated via chatbots that incorporate natural language processing (NLP), artificial general intelligence (AGI) remains science fiction.Strictly speaking, chatbots are unable to learn, adapt or formulate answer on their own. Therefore, they are not a true example of artificial intelligence.However, AI is currently being used to optimise agent availability and shorten customer wait times. Even with chatbots, the AI software can handle multiple queries at once which is an advantage over human operators.
In eCommerce:
DSSTINE is an open source AI framework that enables eCommerce giant Amazon to deliver product recommendations to you based on your past purchases, browsing history, and other people that share a similar persona as you.For example, if you have previously purchased a DSLR then Amazon is quite likely to recommend you photography-related accessories such as lens filters and memory cards.
In the not-too-distant future, artificial intelligence will become mainstream (and not just in the form of autonomous vehicles).
There are two primary ways your business can leverage AI, these are:
- Creating intelligent products and services - you don't need to be Google, Microsoft. Apple or Amazon to make your value proposition stronger through AI. We'll help engineer smart solutions for your business using Machine Learning.
- Developing intelligent business processes - we can help your business optimise and automate tasks and even improve customer experience by using NLP to power customer service chatbots.
The opportunity for AI, machine learning and deep learning are endless. We've broken down some key industries that can apply AI to boost the quality of their products and the efficiency of their resources.
1. Financial services
Stock traders, bankers and investment analysts can leverage machine learning to quickly decide whether a loan is too risky, whether they should buy, sell or hold stocks and even detect fraudulent transactions. Being able to organise, visualise and extract insight from big data can radically improve decision making in the financial sector.
2. Healthcare
The nature of the healthcare industry inherently requires minimal errors which can be unavoidable when relying on the human brain. Which is why diagnostic expert systems can revolutionise the industry and prevent avoidable mistakes. Administrative errors, drug development, and diagnostic accuracy can all be improved through AI systems.
3. E-Commerce
We are already seeing the power of AI in e-commerce through massive brands like Amazon who are leveraging an algorithm called "collaborative filtering". This is how they are able to recommend products that seem to be exactly what you are looking for. This type of algorithm alone has increased their sales and conversions by 35% and 60% respectively. Relying on human intelligence alone would have not been able to generate these returns.
4. Marketing
Machine Learning is already being applied in marketing analytics, omni channel automation, B2B marketing and advertising. Services such as IBM Watson have made the power of AI development available to the masses. Our team can help your business leverage this technology to improve the profitability of your marketing efforts.
We've only just scratched the surface for some of the potential use cases for artificial intelligence, machine learning and deep learning. The capabilities of AI technology is still only in its infancy. We should mention that AI isn't a fix-all solution and will still require resources and planning to pull off.
Alternatively If you are looking for assistance with AI Research, AI algorithms or other project the team is happy to assist.Want to learn more about how your business can benefit from AI? Get in touch with our team here.
The 1956 Dartmouth Summer Research Project is credited with coining the term artificial intelligence with American cognitive scientist John McCarthy commonly cited as the father of AI.
AI refers to intelligent machines and programs.
Since the industrial revolution, machines have primarily served a single purpose: to follow a set of rules and reproduce the same result. However, intelligent machines and programs allow for software to create their solutions via set parameters and machine learning.
Machine learning falls under the umbrella of AI - while AI refers to intelligent machines more broadly, machine learning refers to machines and programs that have the ability to autonomously learn and improve from experience without explicit instructions. This is done by constructing multiple mathematical models that can then generate best-guess predictions.
Some real-world examples of leveraging machine learning algorithms include image recognition, speech recognition (e.g. Siri), and commute time prediction as see in Google Maps.
Deep learning (or deep neural networks) is a cutting-edge subfield of machine learning that focuses on using algorithms that are inspired by the structure of the human brain called artificial neural networks. These algorithms are part of a connected and layered system which improves exponentially the more data that is added to the network.
What makes deep learning exciting is that they do not require a human programmer to tell them what to do with the data.
Although deep learning may sound like science fiction it is already used in everyday situations, such as computer vision on social media platforms such as Facebook, self-driving cars and digital assistants such as Apple's Siri.
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