Ai - the barriers

Published on Dec 18, 2018

Mckinsey asked pool of companies about AI adoption within their organisation and what barriers they faced when adopting the technology. In Mckinsey’s report, Mckinsey didn’t mention what spectrum of companies were interviewed neither did they mention what department was the interviewee. These are the apparent top barriers against AI adoption,

  1. Lack of clear AI strategy for implementing AI
  2. Lack of talent with appropriate skill set within the organisation for AI work
  3. Functional constrain on end to end AI solution
  4. Lack of leadership and commitment to AI
  5. Lack of infrastructure to support AI
  6. Lack of available or collected data for AI
  7. Uncertain or low expectation on return of investment
  8. Under resourcing for AI in line organisation
  9. Limited usefulness of data
  10. Personal judgment overrides AI decision making
  11. Limited relevance of insights for AI
  12. Lack of changes to frontline processes after AI adoption

To me, most of these “barriers” are from the business side (the person getting interviewed) I’m counting 8 out of 12. But on the flip side you could say 5 out of 12 of the barriers an AI technology company could reassure these businesses they have them covered for example, the lack of talent for AI work. I would hope any company promoting their AI technology has the skill set to carry out the work. You could also consider age of the person getting interviewed, location such as country, personal knowledge of technology and AI and their company view on adopting new technology, if their company is generally slow at integrating and adopting new technology then naturally their opinion will be biased…… said the person who works for TonkaBI a tech development company.

Let’s look at each point and think what it means;

  1. Lack of Strategy. This is about leadership and understanding how AI is going to affect your business. If this is lacking in house, just knowing this is good sounds like you need external help.
  2. Lack of Resources. If you don’t have the talent with in your organisation why don’t you outsource? This path can sometimes be a lot cheaper and faster than you think.
  3. Functional constraints. This sounds like an excuse. AI can’t do 100% of what humans do across a complete business – no way. So why not start small, learn and start the process – AI can do 100% of some processes. Work out how your business intends to use AI.
  4. Lack of commitment. Don’t start something you’re not committed to. No commitment, you will fail.
  5. Lacking infrastructure. This is one of the easiest things to pull in from the outside. This is a low-level barrier. I’m starting to see an emerging pattern here? Technology may not be the problem maybe it’s businesses adopting the technology?
  6. Lack of data. This is a big issue, this can be the biggest and only barrier for adopting AI. However, it will be the same tomorrow and the next day – this needs to be part of Point 1. Strategy.
  7. ROI uncertain. A proof of concept, in a small area, with a committed team is a fantastic way to understand your ROI.
  8. Under resourced. This is a big problem if cash and resources can’t be redirected. If there are not enough resources, then don’t use the technology.
  9. Limited data. AI technology has come a long way in the last few years, but the data needed for AI implementation needs to be in abundance and useless data is the same as no data.
  10. Judgement. Certain circumstances will need human intervention AI lacks the capacity to feel what we humans feel. However, AI can do some of the tasks – high volume repetitive tasks. Large tasks can be broken down and the human judgement could then be AUGMENTED by the AI.
  11. Lack of insight. If you or your business is lacking the insight needed for AI then contact someone who really knows there stuff. Hold a workshop. Bring and industry AI expert in as a facilitator.
  12. Lack of change. This can be true but within time AI can make serious impact to frontline operations. Don’t just copy the process – redo the process. This is part of Strategy and ROI.

When you’re thinking about adopting AI speak to professionals in the industry, you might find AI isn’t for you. But then again, imagine your team full augmented by AI, allowing business growth and growing margins.

Posted in Insurance AI Blog on Dec 18, 2018