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Transforming
into an AI business
Today, leading businesses are using artificial intelligence (AI) to transform the core business—creating completely new revenue streams. So what are AI leaders doing that's different? And how can you learn from them to boost your AIQ?
Our study of 200 companies shows that only 17 percent strike the right balance between in-house AI innovation and external collaboration. That’s fewer than one in five. How does your business score?
You're still on the sidelines, looking on. You don't invest much in your own AI capability, neither do you collaborate.
You invest a lot in your in-house AI innovation, but you don't collaborate with others.
You collaborate well in the digital ecosystem to develop AI solutions. But you don't invest in your own AI technologies.
You've got the winning combination—good in-house AI innovation and strong tactical collaboration with others.
You've got the winning combination – good in-house AI innovation and strong tactical collaboration with others.
You collaborate well in the digital ecosystem to develop AI solutions. But you don't invest in your own AI technologies.
You invest a lot in your in-house AI innovation, but you don't collaborate with others.
You're still on the sidelines, looking on. You don't invest much in your own AI capability, neither do you collaborate.
Collaborative Inventors—who balance in-house innovation with external collaboration—have enjoyed far greater annual growth in the value of their companies since 2013.
By moving from being a mere Observer to a Collaborative Inventor, your company could almost double its worth to investors.
4.2%
Growth in enterprise value by AIQ leaders since 2013
2.3%
Average growth in enterprise value
There are three key ingredients to building a high AIQ: good use of technology, data and people. You need to work at all three, both in-house and collaboratively, to achieve success.
Flip the cards below:
Do your solutions focus on growth - not just efficiencies?
Are you creating AI that amplifies the skills of your people?
Are you integrating your AI technologies with internal and external systems?
Have you partnered with companies that will turn your data into new revenue?
Can you integrate AI and data with your legacy systems?
Do you and your partners practise 'responsible AI'?
Can you reskill your workforce to stay ahead of automation?
Do you offer continuous on-the-job training to keep your people relevant?
Can your leaders manage diverse teams?
What AI leaders are focusing on right now
Your next step in AI: AI experts advise what to do in the next 12 months.
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DOWNLOAD THE TRANSCRIPT [PDF]Who is leading in AI? Prof Wahlster, CEO of DFKI (the German Research Center for AI) speaks to Accenture Research's Madhu Vazirani.
DOWNLOAD THE TRANSCRIPT [PDF]AI Policy Recommendations
What can policy makers do to boost the AI economy? Build a future workforce, encourage responsible AI practices and support a rich ecosystem for innovation.
Learn moreTo discuss ways of improving your AIQ, get in touch:
Paul Daugherty
Chief Technology
and Innovation Officer, Accenture
Francis Hintermann
Global Managing Director,
Accenture Research
Madhu Vazirani
Principal Director,
Accenture Research
Laurence Morvan
Chief of Staff to Accenture
Chairman and CEO