While machine learning is a relatively new concept for many, there are an increasing number of platforms and services that are adopting this construction of algorithms. ROBERT SCOTT, SafariNow CCO, talks about the relevance of supervised and unsupervised machine learning.
Given the massive increase in the amount of data that companies – of all sizes and across sectors – are generating, it is no surprise that data analytics and machine learning are fast becoming key components of every innovative company’s toolkit. For the uninitiated, machine learning refers to the way in which companies can now leverage computing power to find important patterns within their data – and then use these patterns to improve their service or product offering.
Because of the sheer volume and complexity of the data being created today, it is often far beyond the capacity of any human – no matter how analytically gifted – to find any relevant trends or insights within what has been tagged ‘Big Data’.
Notably, one of the big differences between machine learning and computer-assisted analysis (where humans are involved) is that the recent breakthroughs in machine learning enable computers to teach themselves how to solve problems. So previously, when humans were directing computers, they were limited to very direct questions and answers (for example, “what is my top selling item?”) and required the person using the machine to dictate which method to use to the solve the problem. Now, machine learning enables computers to find answers in ways that are unguided by human intervention.
Although it is a relatively new and novel concept for many, the technology has already been applied to platforms and services that we use daily. Take Google Search, for example. When we enter a search term, Google uses elements of machine learning to analyse our behaviour once the first results have been served up (i.e. did we need to type in the same search term again, or did we follow some of the top links provided?) and then refines and improves its service according to the data. Other examples include Google’s self-driving car, how Netflix suggests which movies you should try next, and how a dating site suggests which people are most likely to be a suitable match for you…
As with most technological tools today, almost any company or sector can leverage machine learning to better serve their customers. The challenge for companies is to recognise where – and how – certain insights and trends can improve their product or service offering.
Within the travel sector, we have identified various areas in which machine learning can be applied in order to fine tune our offering and help travelers locate their dream destinations. One of the great benefits of this tool is that it often finds relationships between factors that are completely unexpected and unplanned.
Machine learning has led us to the insight, for example, that some accommodation providers have a preference for prioritising requests from customers who would like to stay with them in the next few days – whereas other providers would much rather prioritise requests far in advance (for the school holidays, for example). Often, it is these unexpected – or unplanned – insights that can be the most beneficial for customers.
As an online travel aggregator, there are in fact infinite possible use cases for machine learning – and we are at the tip of the iceberg in terms of harnessing its potential to improve our offering to consumers looking for the next adventure.
Looking ahead, machine learning will perhaps become a standard application within the travel and e-commerce environment. Companies that are open to innovative ways of finding insights in their data can ultimately serve their customers more efficiently – and even develop closer relationships with them in the long-term. The key for companies is to keep an open mind as to whether or not their long-held beliefs about what customers want is actually supported by the data.
By always remaining alert to new patterns and insights, companies can make adjustments – both big and small – to enhance their offering.
CES: So long, and thanks for all the beer!
Last week, the Las Vegas expo showed off its fun side with state-of-the-art technologies for enjoying beer, writes BRYAN TURNER
From craft beer-making machines to robots that pour beer, CES had more beer than usual in Las Vegas last week. And even free beer if you found the right stand. Stampede’s saloon-style booth offered beer to visitors who tried out its latest drones, virtual reality, and other gaming products. No beer tech, though.
Here are some of the beer technologies that stood out:
LG HomeBrew – Craft beer made at home
LG’s HomeBrew craft beer-making machine, debuted at CES 2019, brings the brewing process home thanks to single-use capsules, a self-cleaning feature, and an algorithm optimised for fermentation.
Like a Nespresso coffee machine, the beer maker uses capsules, which contain malt, yeast, hop oil and flavouring. At the press of a button, LG HomeBrew automates the whole procedure from fermentation and carbonation to ageing. A companion app lets users check HomeBrew’s status at any time during the process, from their handsets.
The beer machine not only offers a simple way to make craft
Designed with discerning beer lovers in mind, HomeBrew allows for in-home production of batches of more than 4 litres of beer in a variety of styles. The following five distinctive, flavoured beers are available now:
- Hoppy American IPA
- Golden American Pale Ale
- Full-bodied English Stout
- Zesty Belgian-style Witbier
- Dry Czech Pilsner
The only catch? It takes about two weeks to make, depending on the beer type.
“LG HomeBrew is the culmination of years of home appliance and water purification technologies that we’ve developed over the decades,” said Dan Song, president of LG Electronics Home Appliance & Air Solutions Company. “Homebrewing has grown at an explosive pace, but there are still many beer lovers who haven’t taken the jump because of the barriers to entry, like complexity, and these are the consumers we think will be attracted to LG HomeBrew.”
Click here to read about the party speaker that holds beer and robots that pour beer.
CES: Alienware gets Legend-ary
At CES in Las Vegas last week, Dell’s Alienware released a family of high-end, thin, light, and affordable machines for both amateur and professional gamers – and a new identity.
Alienware marked CES 2019 as a brand milestone with the debut of a new design identity, Alienware Legend. It aims to set a new bar of excellence for what gamers want most – performance and function. Alienware says it evaluated multiple concepts and chose one that was the biggest and boldest departure from its current look.
Alienware Legend, says the company, stays true to the brand’s core design tenets, taking cues from its deep roots in sci-fi culture and its early industrial designs, to distinguish the brand from the rest of the industry. The new Legend design is optimised with cutting-edge thermal cooling technology to achieve and sustain overclocking power, improved AlienFX lighting, and ultra-thin screen borders. It also unveiled a new “three-knuckle hinge” design that reduces the overall dimension while creating a stronger assembly, all combining to yield a better gaming experience.
“We’re excited to come to this year’s CES with some truly groundbreaking products, next-gen software and strategic partnerships that will bring more people to experience PC gaming and advance the industry,” said Frank Azor, vice president and general manager of Alienware. “The legend design answers the call for more and better from our gaming community, and the new G Series laptops will make PC gaming even more accessible to those looking for high-performance gaming at a cost they can appreciate.”
Click here to read about Alienware Legend in action with the Area-51m and m-series laptops