How companies use machine learning

The machine learning market is growing at pace. According to Research and Markets it should reach $40 billion by 2025. Currently it is already over the $1 billion mark, but to reach the estimated value it will have to make a major leap in growth.

What will cause it to grow? Every company will start using it once they have identified a use case, and that is one of the barriers to adoption at the moment, but we can learn from the ways in which major companies are already using machine learning.

Apple

Apple is working on a cross-device personalisation tool and has already applied for the patent. It is rumoured that what this will do is allow your Apple Watch to connect with your iTunes playlist and find a piece of music to match your heart rate.

Twitter

Twitter is working on visibility problems with thumbnail images. It is using neural networks to find a scalable, cost-effective way to crop users’ photos into compelling, low-resolution preview images.

AliBaba

This Chinese retail giant has 500 million customers and each of them uses the store in a distinct way. So Alibaba is using machine learning to track every customer’s journey. Furthermore, all Alibaba’s online storefronts are customised for each shopper and searches will bring customers the products they want to see. There’s also a chatbot who handles most of the spoken and written customer service inquiries. Every element of Alibaba’s business has been built for engagement with the shopper, and every action the shopper takes teaches the machine more about what the shopper wants. It’s extremely effective.

Target

American retailing giant, Target, is using machine learning to reach and respond to its pregnant customers. In fact, Target’s model is so precise that it can reliably guess which trimester a pregnant woman is in based on what she’s bought.

Typically companies have been driven by the seasons, but machine learning can help businesses respond to ‘seasons’ in people’s lives. For example, a person who has just bought a car doesn’t want to see car ads, but motor insurance ads are appropriate. Basically, machine learning can pick up on those rhythms, helping companies recommend their products to customers when the timing is just right.

‘Five Eyes’ tests AI in battlefield scenario

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The militaristic use of AI is somewhat controversial, so this story in Artificial Intelligence News sparked my interest. According to the story, the British military has been trialling the use of AI to “scan for hidden attackers in a mock battlefield environment.” The testing ground is actually in Montreal, Canada rather than the UK, as Canada and the UK, along with the US, Australia and New Zealand are members of what is called ‘Five Eyes’, which is a security partnership.

The AI tool is called SAPIENT (Sensors for Asset Protection using Integrated Electronic Network Technology)

and it has been developed with the aim of using sensors to detect battlefield hazards while freeing up human soldiers for other operational activities. To some it may sound like something you might find while playing “Call of Duty,” except this too will not be deployed in a virtual reality.

 Keeping pace with Russia

Not everyone welcomes the introduction of AI to warfare, but those that do support it point to Russia and China’s heavy investment in military AI and say we must keep pace with them. Russia’s bellicose president Vladimir Putin has already said, “Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world.”

Google’s Project Maven

Perhaps that is a chilling enough statement to send most nations scurrying off to work on AI and why the ‘Five Eyes’ are continuing to test news tools extensively. Yet others are wary. For example, earlier in 2018 you may remember the furore that erupted at Google’s offices over its Project Maven contract with the Pentagon to develop AI technology for drones for the Pentagon. Google was forced to drop the contract following an internal backlash and staff resignations.  Some 4,000 staff members demanded that Google would never again “build warfare technology.” Google CEO Sundar Pichai wrote in a blog post the company will not develop technologies or weapons that cause harm, or anything which can be used for surveillance violating “internationally accepted norms” or “widely accepted principles of international law and human rights.”

SAPIENT development

But others are undeterred by such considerations, and it is a extremely interesting area of debate, especially for ‘civilian’ companies like Google. When companies typically associated with the military work on technology, you can expect a different response from their employees, because this is simply what they do. That is the case with SAPIENT, which was developed by the Defence Science and Technology Laboratory (DSTL) and industry partners, and co-funded initially by Innovate UK. Since 2016, the programme has been funded solely by DSTL, which is part of the Ministry of Defence.

 

The UK’s Defence Minister Stuart Andrew said of SAPIENT:

“This British system can act as autonomous eyes in the urban battlefield. This technology can scan streets for enemy movements so troops can be ready for combat with quicker, more reliable information on attackers hiding around the corner.

Investing millions in advanced technology like this will give us the edge in future battles.”

Sapience, by the way, means “the ability to act with judgement.” The question is, can an AI tool that monitors people approaching a checkpoint, or changes in people’s behaviour, rally replace human intelligence? There are many stories about human errors and innocent people have been mistakenly shot. Will AI deliver better responses? Sadly, we will only know after it has been deployed.

 

 

The Rise AI-based app for crypto trading

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Removing volatility from the cryptocurrency market would most likely make it a more attractive mainstream investment. That is the hope of Rise, a fintech software company based in Germany. It plans to use its artificial intelligence (AI)  trading technology in the cryptocurrency markets in a way that will allow users to trade across multiple exchanges.

Currently, Rise algorithms are being used in stock markets, forex and commodities trading and since its foundation in 2012 it has grown its user base, with in excess of $50 million in assets under management. Hedge funds and insurance companies are among the big financial institutions using its products. More importantly, its consumer facing app, UpTick, which is focused on cryptocurrency, has been downloaded 100,000 times since it became available.

Its white paper explains: “The playing field is being levelled for all who join Rise, as well as bolstering the cryptocurrency market itself with data-driven investment strategies that are free of emotional human bias, ignore hype, and avoid the pump and dump marketing or boom and bust cycles that inevitably bring unnecessary risk to the market.”

Rise also believes that human traders looking to make a profit from cryptocurrencies are pretty much running out of time. The firm believes that this sector will go the way of the traditional stock market, where gains are primarily made by using “machines to which access is restricted to a small population of the uber-wealthy.” The Rise app will bring more democracy to the crypto trading environment and enable small investors to participate.

AI in the Rise app

This detailed explanation of how AI will be used in the app comes from the whitepaper (see link above): “In addition to trading manually on multiple crypto exchanges, the Rise platform will also allow users to subscribe to automated trading strategies with Autopilot, powered by the Rise AI. Users will be able to choose algorithms across a variety of risk classes, pick an allocation across any of their connected exchanges and then enable the Rise engine to automatically execute trades. A key feature is that users’ funds will never leave their wallet, which will allow for full control and protection of assets. Users can track returns and start, stop or pause algorithms at any time, directly via the application. Furthermore, users are able to define custom stop-loss levels for each algorithm to match each user’s individual risk preference. The vision with Autopilot is to become the trusted, automated trading companion that allows users to invest like the sophisticated trading elite, right on their mobile phone. “

Rise has a strong team with a competitive edge, so no wonder the company is upbeat about its forthcoming STO in November. What is more we won’t have to wait very long to use the AI-based Rise app – it is launching in the first quarter of 2019.

How to use AI in a small business

If you are a small business owner, you may wonder if it is possible to implement AI in your business; you may even feel very challenged by the idea. There is a sense amongst small business owners that AI is only for the big companies, but this is a mistake; there are ways to use it regardless of the size of your company. Furthermore, at some point your competitors will catch on to the idea of AI and then you’ll be left behind, so don’t follow the sheep and keep thinking “I’m too small for AI.”

  1. Use AI to analyse data

Big business obviously has lots of data to analyse and AI is very useful for this, but it can be applied to more modest amounts of data as well. Plus, it is far less expensive than hiring a firm to do the calculations and provide the insights. From determining what keeps customers coming back to your business to helping you discover new market niches, AI is a versatile statistical tool.

  1. Use AI to hire staff

Small companies don’t usually have an HR department, but AI can help you here. For example, AI can determine which of your past hiring practices were the most effective. Other AI applications can discover solid leads in surprising places, and inform recruiters about the details of a candidate’s work history and his or her fit for a particular role.

  1. Get more organised with AI

AI can help with bookkeeping and other housekeeping activities that staff often find monotonous and dull. When AI is used in this way, staff see it as less of a threat to their jobs.

  1. Improve customer service

It has become essential for companies to develop new ways to quickly address their customers’ concerns. This is one of the reasons why Gartner predicts that a quarter of customer service operations will “integrate virtual customer assistant (VCA) or chatbot technology across engagement channels by 2020, up from less than two percent in 2017.”

  1. AI can assist with marketing

An Inc.com survey found that 93 percent of market researchers think AI presents an opportunity for their industry. It eliminates the need for employees to do mechanical tasks; from data preparation to advanced data analysis, which is the most common use of AI.

According to an April 2018 McKinsey report  AI is “likely to have the most substantial impact in marketing and sales.” Therefore, small businesses should start integrating AI now to reach as many consumers as possible in the future.