A new Workday survey of 1,000 business decision-makers from around the globe cuts through the hype and reveals what leaders are really doing, thinking, and feeling when it comes to artificial intelligence—perhaps the most transformative technology of our lifetime. Keep reading to discover our findings.
AI is having its moment. Something that’s always been futuristic has suddenly become very real and very now. In fact, the Workday“AI IQ: Insights on Artificial Intelligence in the Enterprise”report, based on a survey of 1,000 business decision-makers from around the globe, found that many business leaders are currently using some form of artificial intelligence (AI) or machine learning (ML) to further their business—ranging from small pilots to full-blown enterprisewide deployments.
If you believe some AI pundits, the changes the technology will bring are so profound that we can barely imagine them given our current frame of reference. Our “AI IQ” study cuts through the hype and speculation to find out what business leaders are really doing, thinking, and feeling when it comes to what may be the most transformative technology of our lifetime. Here’s a look at some of our most compelling findings.
Overall, we found that business leaders are fairly certain their AI investments will increase over time, and that AI will bring tangible business benefits. But there’s a caveat: Leaders aren’t sure they can rely on the data they use to power AI and ML or if they’re deploying AI and ML in the right places, in the right way, and at the speed the business needs. They’re also uncertain if the people in their organizations have the necessary skills to get the most value out of these technologies.
Looking at our research results, optimistic—yet anxious—is a good summation of how business leaders are feeling about AI.
We also found, unlike previous surveys about transformative technologies, that respondents are in almost unanimous agreement that AI will indeed be a game-changer—or at least a game-enhancer. A whopping 80% of respondents agree that leveraging AI and ML is a requirement to keep their business competitive, and two-thirds say AI and ML have already increased productivity and operational efficiencies.
Another strong point of agreement: Humans need to stay in the loop at key moments. More than 9 in 10 decision-makers (93%) believe it is important for a human to assist AI or ML when making significant decisions, rather than allowing the technologies to do it alone. And, only 29% said they are very confident that AI and ML are currently being applied ethically in business.
We found that 73% of the decision-makers surveyed are under pressure to increase adoption or investments in AI and ML. Although almost everyone feels pressure to move quickly with AI, and that pressure mostly comes from the top, themotivation不同的压力。领导人在公关的感觉essure to support overall business competitiveness. In human resources (HR), the pressure is about improving the employee experience, while finance decision-makers say they’re being asked to address skills gaps.
We conducted this survey because we know that the future of many organizations, industries, and the business world overall is being made rightnow.
The bottom line is leaders know they need to execute on AI and ML now. Yet, they must also quickly determine how to do so in a lasting way that will deliver immediate value today and ongoing value tomorrow, all in a fast-changing space.
Looking at our research results, optimistic—yet anxious—is a good summation of how business leaders are feeling about AI.
Other top findings from the report include:
73% feel pressure to increase adoption or investments in AI and ML.
83%打算继续投资AI和毫升the same or increase them next year.
87% say AI and ML are influencing technology purchasing decisions.
75% say many hindrances are preventing their organization from fully implementing AI and ML.
Top risks to implementing: data and security (48%), concerns about accountability (47%), and inability to measure return on investment (46%).
77% say uptake would increase in their organization if there were fewer risks involved.
77% are concerned about the timeliness or reliability of data their organization will use for AI and ML.
29% of people from organizations currently using AI believe insufficient data volume or quality is to blame for AI falling short of expectations.
33% of respondents rank data security and privacy as a top barrier to entry for their organizations to use AI and ML.
99% agree there are business benefits from investing in AI.
Reasons for benefits include: improved decision-making (41%), automating business processes (38%), and improved employee retention/experience (35%).
80% agree that AI and ML are required to keep their business competitive.
We conducted this survey because we know that the future of many organizations, industries, and the business world overall is being made rightnow. As you read these lines, an even larger and more ambitious survey on AI and ML is being conducted in collaboration with Longitude Research, aFinancial Timescompany. We look forward to sharing these findings, but we know that with such transformative and fast-moving technology, fresh insights at this very moment are extremely valuable.
Our Chief Technology Officer Jim Stratton—who along with other Workday leaders has been vocal and clear about AI’s value to businesses—lends his executive perspective to this research. He writes in the foreword to our “AI IQ” study:
“In my conversations with customer and partner CIOs and technology leaders, the biggest challenge I’m hearing with AI and ML is that people aren’t sure where to start, and they wish they had a better idea of where others are finding success, and encountering roadblocks, on their journey. That’s exactly what this report is for, and I hope that after reading it and absorbing the insights it offers, leaders will be able to tell a better story about AI and their own organization’s goals.”
Find out more about Workday’s“AI IQ: Insights on Artificial Intelligence in the Enterprise”report, ordownloadthe report.
At Workday Rising, you’ll find the technology, innovation, and connections you need to not only embrace change but also lead it. And it’s your chance to learn how we’re putting AI and machine learning to work in powerful, responsible ways.
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