Is your organization maximizing AI-powered business tools?
We recently asked these questions of over 500 professionals in a variety of careers (IT, sales, marketing, etc) at Dreamforce, the largest tech conference in the world. We wanted to gain a better understanding of what people think about a development poised to be the number one trend in the industry for 2018 and beyond.
We also wanted to know how our respondents feel about the ways their respective organizations use AI, and how they think AI will impact the future of their careers.
Here’s a good place to start: AI is already more common than most people think. It’s in their smartphone applications, business tools, video games, and search engines. Most of it is elementary in complexity compared to smart cars and other big ideas you see in the media, but these machines can learn and react just as humans would.
So, how did our respondents feel about AI? Here are some highlights:
- 41% say their organizations don’t use it at all, compared with only 22% who said they use it frequently.
- 54% think they could use it more for business, compared with only 6% who worry about relying on it too much.
- Only 7% believe AI would put their jobs in jeopardy, compared with 63% who think AI will create more time by cutting out tedious work.
- 74% say they would recognize it if they saw it, but only 43% identified the first instance from a list of possibilities.
- 64% are “excited” for at least one piece of functionality powered by AI
People are both confused and optimistic about what this new wave of technology will bring.
Some professionals might be a bit behind on some of the AI-powered tools that are already available in the business world. In spite of all the buzz surrounding AI, less that a quarter of our respondents use it frequently, and almost twice as many “don’t use it at all.”
The options available now are simple ones. Sales teams might leverage AI to predict when customers are ready to churn. The machine can interpret product-usage data just as well as a human, so the team can cut out some of that data analysis to focus on the actual relationships with customers.
IT pros might use AI to help predict network overloads or staffing shortages. Machine learning tools can interpret data trends to predict when incidents will increase or when outages might occur.
Revisiting that last number from the survey, 64% are excited for these features. Voice recognition, chatbots, and machine learning for data analysis were among the most popular options. The good news is, many of these tools are out there already, and the technology is improving every day.
For more results from our survey, take a look at our infographic.
If you want to learn more about AI’s impact on the workplace, and how smart technology is changing IT support, watch our webinar on-demand.
About Chris McManus
Chris McManus is a Senior Content Specialist at Samanage with a variety of media and creative content experience. He works with Samanage customers on case studies, webinars, and spotlight videos.
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