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How Google’s influence on AI is becoming key to business success

Neill Horie, associate director of technology strategy at Edit, believes that Google’s AI improvement will be increasingly important and influential for businesses in the future How Google’s influence on AI is becoming key to business success image

Artificial intelligence (AI)’s importance in business is set to increase in 2020 with Google stepping up its focus on the technology after a decade filled with activity.

Insight from SEO experts, Edit, has delved into what future trends lie ahead across Google with AI dominating 2020 and beyond in its importance for business with new projects in the pipeline to improve the way we do business.

With more than 1 billion users, Google is one of the world’s biggest brands, and arguably the biggest key driver of modern technological advancement – only recently, Google announced their ‘Quantum Supremacy’ breakthrough, in which their quantum computer managed to solve a mathematical calculation in 3 minutes and 20 seconds – something that supercomputers are unable to complete in under 10,000 years.

Google is learning and improving faster than we can comprehend and that is being translated to the latest technology available to businesses.

As Google becomes better at interpreting and inferring information from things other than just text, businesses will need to recognise that AI will be analysing everything they do with greater efficiency and larger datasets than rivals will have done before.

This obviously goes beyond Google. Some businesses are already harnessing AI – even in its most basic forms of machine learning – to transform the level of insights they can glean from their customers, sales, operating efficiencies and all manner of other data sources. Done correctly, this can lead not only to greater efficiencies, but also greater effectiveness of what we produce, market and sell, by targeting customers better and answering their needs.

Machine learning versus AI, and putting data science models into production

Machine learning is becoming the phrase that data scientists hide from CVs, putting a data science model into production is the biggest data challenge, and companies are still not getting it. We spoke to a data expert on the state of data science, and why machine learning is a more appropriate phrase than AI. Read here

Google is the obvious version of that, especially as they’re so far ahead, but some of the good practices we can adopt to make things better for Google, such as consistency and clean, structured data) will be useful throughout business transformations.

The past decade alone has seen huge leaps in Google’s capabilities and focus on AI, with the arrival of Google Assistant in 2016 and the Neural Matching algorithm introduced in 2018, to deliver more diverse search results by analysing language on a deeper level than previous algorithms. For the first time, Google could match words to concepts and figure out what a user wanted from a looser search.

Google’s commitment only looks set to grow, with the company’s co-founder, Larry Page, taking a particularly close interest in AI, revealing that: “Google will fulfil its mission only when its search engine is AI-complete.”

Google is definitely, absolutely committed to AI. Larry Page is committed, and it is viable in both short-term, by being able to out-analyse competition, and the long-term, the consequences of being the first creator of anything resembling true AI is vast.

What should businesses already be actioning?

For many businesses it should be about two things which you should probably be doing anyway: be consistent in your communications, and make sure you use clean, structured data. Both of these will confuse users and AI less, now and in the future, making it much easier to work out what’s going on.

Many businesses will know to sort the first one as part of branding and marketing, so the second one of these is probably the area which could catch you out. You may not be ready to leverage AI just yet, but cleaning and tidying your data could already help make decisions now, let alone the ramifications down the line when you can employ AI.

Google has come a long way since it started with Edit visualising how the company birthed SEO following its rapid growth since the domain name was registered in 1997 to the latest updates, giving us a glimpse into how the next 10 years might look.

How to create a global SEO strategy

Businesses must differentiate its SEO strategy for different regions – so what do they need to factor in when moving into different markets from an SEO perspective? Read here

SEO once started as one person’s job, to be done in a silo in order to game the results. Increasingly we must all look at what we do and make sure it’s something we want search engines to interpret and share with our customers – whether it’s print or on a website or in a TV ad, whether we’re a digital specialist or working in audience planning.

Good SEO practice, like brand design and tone of voice, will have to be embedded at everything a brand does and says. It will be important that when a search engine or AI attempts to understand or interpret everything about you that it doesn’t see glaring contradictions which could erode trust or cause it to send consumers mixed messages.

To quote Google’s mission statement, which is probably the best way to explain their objective is: ‘to organise the world’s information and make it universally accessible and useful’.

Written by Neill Horie, associate director of technology strategy at Edit

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