Predictions for AI and Data Science in 2019

Posted 2019-01-06 Posted by Tom

Predictions for AI & Data Science in 2019

In the 20th century, hollywood suggested the technology of 2019 would bring bioengineered replicants (Blade Runner), cyborg kickboxers (Heatseeker), and psychic espers would be wreaking havoc on Neo-Tokyo (Akira). In reality, we have chatbots you can interact with to order a pizza, video-game winning AI, and apt music recommendations.

So what will happen in the world of data science and AI in 2019?

Data Science Ethics

Someone, somewhere, will define and propose a codified strategy for data science ethics, and the proposition to adopt it will be agreed. The industry has grown out of its infancy, but its adolescence has brought teething problems that have not been unanimously resolved. We expect a movement, community or corporately led, to take roots and gather speed throughout 2019. This will remove ethical ambiguity and remove the loopholes companies and individuals could use by claiming subjective morality in their practices.

AI Grows Up

Businesses are beginning to see the long-term value and potential in AI, moving away from its use purely to automated repetitive or tedious tasks. Whilst we’re not expecting the singularity, we can predict the emergence of AI’s mainstream use in anomaly detection, carrying out analysis and notifying relevant personnel that human interaction is needed to inspect or resolve a situation. Again, the use of data is under the microscope more than ever since 2018 following both the Cambridge analytics scandal and the inception of the GDPR (General Data Protection Regulations), and the prerequisite of ‘humans in the loop’ will help alleviate fears about bias in AI.

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Combined with the prevalence of powerful computing and streaming speeds, AI is allowing consumers to move away from a market of owned products, and instead, pay less for a subscription-based model of content that’s total cost per annum is less than the total required to own all of the accessed media. With the incorporation of AI, this has allowed the accurate delivery of marketing and content relevant to the consumer, streamlining the transition, and negating the need for the consumer to search for interest-relevant media.

With AI’s power to analyse data and provide accurate recommendations, we expect this to expand into other areas and industries.

Data vs Data

Recent years have seen the prevalence and concern of Fake News, with unsubstantiated and unverified news stories, targeted to specific demographics, in order to satisfy the distributor's agenda. Alongside this, has been the emergence of Deep Fakes, a technology which allows AI to use human image synthesis to superimpose images of celebrities and politicians, making them appear to say and do things which never occurred.

Whilst these videos may appear convincing to the human ear and eye, AI can be utilised to analyse these videos, quicker and more accurately than humans, allowing the content to be removed at the point of upload, or soon after, nullifying their potential to cause damage or harm.

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