2015 State of Artificial Intelligence and Big Data in the Enterprise

2015 State of

the Enterprise

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Narrative Science State of . There are many misconceptions about the

survey aims to set the story straight.

For this report, Narrative Science surveyed 200 respondents, ranging in position from CEOs to Chief directors. We used an independent online survey source and did not survey any of our existing customers or members of our corporate marketing database.

Organizations represented include several ranked in the Fortune 500, large enterprises with 10,000 or more employees and SMBs with less than 100. The businesses represented span many industries with 40 percent employing more than 5,000. See page nine for a complete breakdown of respondents.

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Evil robots aren’t coming anytime soon— and likely not ever.

In the era of Big Data, where vast pools of information exist in silos,

how they make decisions and shape business strategies. But that existing data technologies an easy, agile way to access and analyze data in order to convert it into coherent, actionable narratives that tell the story

Despite what headlines might suggest, the overwhelming majority of enterprise executives

learning, automated customer communications,

how their businesses are functioning and the next opportunities for growth.

Faced with the need to solve these challenges in a

competitive advantage, free their employees to focus on strategic initiatives and even create jobs.

While this report reveals many key points, several jumped out as particularly salient:

Of all executives surveyed, 58 percent reported using Big Data technologies in their enterprise. Findings showed that

58%

solutions in addition to Big Data technologies are best able to maximize their data.

59%

80%

technologies together are measurably better at turning data into information that can be used to solve business problems.

We designed this survey to reveal how enterprise leaders, knowledge workers, Big Data. The results reveal not only the truth about the two technologies—they also provided information that allowed us to deliver expert guidance. See page eight for

increase worker productivity, enable better business decisions and make information available that anyone can use and understand.

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it is “technology that thinks and acts like humans.” The remaining Technology that can learn to do things better over time: 25% Technology that can understand language: 7% Technology that can answer questions for me: 4% 1.5% 28.5% Other: 3% Technology that thinks and acts like humans: 31%

Despite AI’s reputation as a potential threat to jobs,

the highest respondent percentage—said it is “automated communications that provide data that can be used to make decisions.”

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Plenty of enterprises are

The reality is that organizations

with Big Data technologies.

additional purposes: Machine learning: 24%

solutions deployed. Of those

recognition and response

Virtual personal assistants: 15% Systems used for decision support: 8% and/or communications: 5%

of respondents believe that communications and data delivery that can be used for business decision making.

applications: 5%

: 8%

accomplish a number of goals.

The highest percentage of

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as

Robotics: 4%

Organizations are using Big Data

58% of enterprises that use Big Data technologies also use

32% cite voice

automated communications as well, but with the goal of providing consumer audiences with data they can use to make

communications providing business audiences with data

Remaining respondents are

decisions.�

monitoring and alerts regarding the health of their businesses,

The second highest percentage consuming manual processes.

of Big Data, 31 percent— the highest percentage of respondents—said that its information that improves decision making.”

But when it comes to how to manage and analyze Big Data, there is little consensus.

31%

Data Visualization

percentage—say that data visualization apps are “the most widely used data management and analytics technology used within their organization today.” The second highest percentage of respondents, 23 percent, reported that business intelligence apps were the most widely used, while 21 percent said apps built on Big Data platforms such as Hadoop were used most frequently.

23%

21%

Business Intelligence

such as Hadoop

In comparison, just 47 percent of organizations

that can be used to solve business problems.

53%

percent of organizations that use Big Data

59%

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The results of this survey reveal a growing understanding of the

relevant, explains why and makes it available to anyone.

decision making. Where raw data is challenging and time

not feared majority of enterprise

organizations that want to maximize the value of data. Technologies that allow enterprises to visualize and wrangle data are already employed in more than 58 percent of businesses—a number that is likely to grow quickly.

was less consensus on how to

Despite widespread adoption in the enterprise, executives

of respondents recognize that

organization has invested in Big Data and analytics tools such as BI

not replace them.

enterprises are aware of the

information that improves

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their data. They need to turn it into to make decisions and communicate across a wide range of audiences.

Breakdown 10,000 or more: 22.6%

Private: 48.7%

20%

Public: 38.5% 17.4%

Government: 12.8%

10.8% 10.3% 10.3% 8.7%

CEO: 23.1%

High Tech: 25.6%

CIO: 16.9%

Other: 16.9%

CTO: 10.8%

Healthcare: 12.3%

Data Scientist: 6.7%

Financial Services: 11.8%

CMO: 5.1%

Manufacturing: 11.3%

CSO: 4.6%

Government: 8.7%

Manager: 4.6%

Retail: 8.2%

Director: 4.1%

Education: 5.1% 2.6%

COO: 2.6% 2.6% VP: 2.1% 2.1% Other: 12.3%

Learn About Narrative Science was started in order to solve a big problem— giving people a fast and simple way to understand data. While companies have invested billions sourcing and aggregating data, spreadsheets and dashboards as mechanisms to understand supports—about their operations, about their business, and about their life. What better way to tell stories than through language? with our advanced natural language generation platform, Quill, that transforms data into meaningful and insightful narratives that people can simply read. Quill enables organizations to spend less time crunching numbers and more time providing their employees and customers with actionable information that, ultimately, makes them smarter.

For more information about Narrative Science and how Quill can help your organization, visit http://www.narrativescience.com/

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