In 2017, the Boston Consulting Group and MIT were researching AI applications and adoption levels. They found that, while almost 85% of companies believed that AI would provide them with a competitive advantage, less than 39% had a proper AI strategy in place. It’s now 2019. Has this gap decreased? Bernardo has the answer!

In the 7th video in our AI for Business series, we’re taking a look at the levels of AI adoption in companies, from the Pioneers who lead the way through the Investigators and Experimenters, right down to the Passives. Where does your business fall on this scale? What’s your understanding of artificial intelligence? Are you running any artificial intelligence or machine learning experiments? Are you developing any data science projects?

Establishing a comprehensive AI strategy is key to gaining a competitive advantage in business. Artificial intelligence is no longer the reserve of data scientists and big businesses. Its increased accessibility means that an understanding of AI applications and innovation should be an integral part of your digital skills set.

We’ll also introduce you to machine learning resources, summaries and tools to help you to judge potential AI applications in your business, develop a solid data acquisition strategy and, hopefully, move you through the AI adoption levels.

Articles mentioned:

MIT Sloan 2017 report - http://image-src.bcg.com/Images/Reshaping%20Business%20with%20Artificial%20Intelligence_tcm9-177882.pdf

New MIT report, AI in Business Gets Real - https://sloanreview.mit.edu/projects/artificial-intelligence-in-business-gets-real/

Horizontal and Verticle AI Strategies - https://www.datasciencecentral.com/profiles/blogs/comparing-ai-strategies-vertical-vs-horizontal

Innovators under 35 - https://www.technologyreview.com/lists/innovators-under-35/2018/

PWC report - https://www.pwc.com/us/en/services/consulting/library/artificial-intelligence-predictions-2019.html

Defensive and Offensive Data Strategy - https://hbr.org/2017/05/whats-your-data-strategy

Guide to customer data provided by Hull.io - https://www.hull.io/academy/

Landing.ai Playbook - https://landing.ai/ai-transformation-playbook/

Google AI Hub - https://cloud.google.com/blog/products/ai-machine-learning/introducing-ai-hub-and-kubeflow-pipelines-making-ai-simpler-faster-and-more-useful-for-businesses

Kubeflow Pipelines - https://www.kubeflow.org/

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