Machine learning systems are made up of algorithms that are intelligent enough to comprehend data in a way that leads to a “diagnosis”, prediction and organisation.
The more data they are exposed to the more they are able to improve. They can also teach themselves to become smarter over time as they are increasingly exposed to data.
Machine learning allows us to “imitate” the mental process of the buyer “optimising” the choices just like a normal buyer would. This system has the ability to learn over time and generate more accurate results applying its “knowledge” to different campaigns, making those associations that can be challenging for the human brain to pick up on its own.
Machine learning is now everywhere when it comes to digital advertising and is being applied to different aspects of it:
Data measurement (What is Tom’s pattern of algorithms?)
Prediction of device association (Based on IP info is that Tom’s ipad AND iphone?)
Intent prediction (The likelihood that Tom will buy those new shoes in the next month or so)
Response prediction on an ad impression level (Will Tom click on the ad, or view the whole video?)
Fraud detection (Is Tom real?)
Audience insights (Can I extract some of Tom’s behavioural patterns for instance to inform creative design?)
The next steps for machine learning Machine learning will only improve as the years go by. As technology advances, computers will be able to make more adept correlations, and as we move into an ever more mobile world, advertisers need to rely more and more on the multiple platforms in order to deliver their message.
Personalisation, in the form of digital voice assistants, is considered the future of contextual advertising.
These forms of “communication” allow users to search for things they are interested in with their voice, without consulting a screen as they would have done in the past. As AI, artificial intelligence, becomes increasingly accessible to consumers technology seeks to become a more integral part of our lives and not a “separate” entity that we physically consult. This switch to less device heavy marketing will constitute a monumental shift in advertising. AI is now storing incredible amounts of data that is being integrated more and more with consumer technology, especially voice assistants. The information that has been accumulated for years is now being utilised in the consumer’s present day.
Contextualisation is already built on the premise that proposing ads that are relevant are more welcome and unobtrusive, which means that on any given platform you will most likely only see what is relevant to you as a consumer. So personalisation must follow this example in order to create the story telling environment that is so crucial in order to generate respect for a brand. No one wants to see an add for their favourite shoe brand, however loved (!), when they are viewing a page on a piece of news that is communicating the latest on a natural disaster, for instance.
Personalisation must go hand in hand with contextualisation, in this sense, in order to be credible and trustworthy. Knowing when and where is appropriate to provide the customer with knowledge about those new shoes is key to the ad’s success.
“When you keep seeing adverts on the latest BMW but can’t drive, it has no relevance and as a consumer it’s a waste of time that can be disruptive” says Co-founder of Vertis Media, Laura Cioffi.
Designed to understand consumer preferences and deliver relevant customer experiences, in today’s world, AI (artificial intelligence) influences many aspects of our everyday in the form of smart devices, chatbots, and self-driving cars, for instance.
AI has been a hot topic for a while now, especially when it comes to digital marketing. Why? Because when it comes to improving customer experiences and saving time & money, AI is your technology!
What is Artificial Intelligence? AI enables machines to “think” about, respond to, and perform tasks in the way that humans would. It also helps machines learn from experience and adjust to new input.
Why is Artificial Intelligence becoming so popular?
More work efficiency- lower margin for errors
It performs an analysis for high volumes of data without overseeing the most important insights.
It is a valuable addition to the capabilities of devices though its algorithms: GPS trackers, voice assistants, and home automation systems are just a few examples.
Its constant adaption to new input through progressive learning algorithms.
AI is revolutionizing industries with its astounding ability to adapt and analyse data- exceptionally useful for digital marketing. Let’s take a look at how.
How AI is impacting the landscape of Digital Marketing? Because of the way AI is able to identify marketing trends and analyse data, the world of digital marketing, in particular is able to save money and time through AI:
It helps understand audiences: AI can use the way it analyses data to predict what users are most likely to buy.
It improves user experience: AI data can help you give your audience what they actually need.
A more impactful type of marketing: AI helps to create a more effective marketing strategy for your company, because of the way it handles data.
It can increase productivity: AI algorithms can increase productivity and this will save your budget and eliminate time wastage.
Artificial intelligence really is a technology that can add value to your brand. Using AI digital marketing strategies will help brands deliver improved customer experience and do more effective marketing. It will also ensure faster problem-solving for consumers.
Humans and information processes, or A.I, have already been working together for a long time. Predefined algorithms are becoming ever more efficient and sensitive to consumer choices, creating spaces that are able to fit into the user flow, unobtrusively and usefully.
A report on emerging technologies carried out by Gartner (August 2018) predicts that AI technologies will be virtually everywhere by 2028, forming new ecosystems that bridge AI and humans.
We live in a world where there is an excess of data available and this ongoing relationship between human and machine intelligence can assist in simplifying lives by channelling the right products to the right people in an effortless process for the end user.
Vertis Media builds intelligent spaces by using technology that respects the user’s boundaries of interest. This contributes to the creation of a more efficient use of funds and information that gets straight to the heart of the matter. Though no personal information is utilised in the process, the campaigns produced become personalised through a system of contextual insight that makes them accurate and profitable. This is possible as they are based on an AI system of optimisation that is able to provide opportunities for scaling and personalising capabilities.
The rules of business are changing as the processes within organisations adapt to a time where being intelligent involves the embrace between humans and machines. Companies favourable to this are becoming increasingly profitable.
However, when we talk about machine intelligence we are not referring to cold hearted, undiscerning automation: it is about the creation of a space where human ideas are passed on and executed by a machine process that is able to, via its constantly refined processing, update information in a way that makes it possible for businesses to transform every aspect of the way they work. Through AI, Vertis Media creates such a platform that takes you on a journey to simplicity, versatility, and profit.