Data Center
SHARE
Facebook X Pinterest WhatsApp

AI Adoption Set to Take Off in the Enterprise

Business leaders are generally excited about the prospect of artificial intelligence (AI) in the workplace but they also harbor ethical concerns, according to a recent survey of 1,600 decision makers at enterprise organizations conducted by the researchers at Vanson Bourne on behalf of Infosys, an IT services and consulting firm. A majority of (76 percent) […]

Written By
thumbnail Pedro Hernandez
Pedro Hernandez
Jan 21, 2017
Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More

Business leaders are generally excited about the prospect of artificial intelligence (AI) in the workplace but they also harbor ethical concerns, according to a recent survey of 1,600 decision makers at enterprise organizations conducted by the researchers at Vanson Bourne on behalf of Infosys, an IT services and consulting firm.

A majority of (76 percent) of IT and business decision makers view AI as a pivotal factor in their organization’s success. By 2020, those businesses have already deployed or plan to adopt AI solutions expect their revenues to jump 39 percent gain and their costs to plummet 37 percent. Seventy-one percent describe AI’s rise in the workplace as inevitable.

“As we are seeing AI mature and gain momentum, our research shows that the next four years will witness further spikes in interest, and general bullishness about the significant value and benefits that can be obtained through AI adoption,” said Sandeep Dadlani, president and head of Americas at Infosys, in prepared remarks.

Tempering the zeal surrounding enterprise AI are worries about its impact on workforces.

AI is a concern or challenge among the employees at most organizations (90 percent), along with their customers and suppliers (88 percent). More than half (53 percent) of respondents said that ethical concerns pose “a significant obstacle” to effectively enabling AI in their organizations.

A majority of respondents (62) felt that a successful transition to AI-powered processes and workflows requires stringent ethical standards. Eighty percent said they plan to train employees regarding the use and benefits of AI. Among those companies that expect to replace roles with AI, 85 percent expect to redeploy or retrain affected workers.

The IT industry “must take necessary steps to ensure AI is developed morally and ethically across every part of society and that employees are actively engaged and provided with the necessary training to be central to this journey,” asserted Dadlani.

Currently, businesses are investing in AI technologies related to big data automation (65 percent), followed by predictive analytics (54 percent). On average, organizations have been using AI-infused software and services for two years. Each has spent an average $6.7 million on AI in the last year.

As expected, IT departments are leading the AI charge at most organizations (69 percent), followed by operations departments (34 percent). Business development folks (33 percent) aren’t too far behind as marketing departments nip at their heels (29 percent).

Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.

  SEE ALL
DATA CENTER ARTICLES  
thumbnail Pedro Hernandez

Pedro Hernandez is a contributor to Datamation, eWEEK, and the IT Business Edge Network, the network for technology professionals. Previously, he served as a managing editor for the Internet.com network of IT-related websites and as the Green IT curator for GigaOM Pro.

Recommended for you...

thumbnail 4 Data Virtualization Benefits: Redefining Data Accessibility
Data Center
4 Data Virtualization Benefits: Redefining Data Accessibility
Anina Ot
Apr 25, 2024
thumbnail What Is Data Analysis? Ultimate Guide (+ Real-World Examples)
Big Data
What Is Data Analysis? Ultimate Guide (+ Real-World Examples)
Kaye Timonera
Feb 19, 2024
thumbnail What Is Qualitative Data? Characteristics & Examples
Big Data
What Is Qualitative Data? Characteristics & Examples
Kaye Timonera
Jan 23, 2024
thumbnail What Is Quantitative Data? Characteristics & Examples
Big Data
What Is Quantitative Data? Characteristics & Examples
Kaye Timonera
Jan 12, 2024
Datamation Logo

Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.

facebook
youtube
x

Company

About us Contact us Advertise with us

Categories

Trends Big Data Data Center AI Cloud Applications Mobile Open Source Security Storage

Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

Terms of Service Privacy Policy California - Do Not Sell My Information