Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
CIOs and other business executives that find themselves struggling with Internet of Things (IoT) implementations can at least take solace in the fact in that they aren’t alone.
A new survey from networking giant Cisco found that most organizations are still coming to terms with the IoT along with the technical and personnel challenges it brings. Among the 1,845 IT and business decision makers quizzed by the company, only 26 percent said their IoT initiatives were successful.
Yet, failure doesn’t necessarily have to completely derail an organization’s IoT ambitions. Even when faced with a failed or stalled IoT project, 64 percent said the setback helped accelerate their investments in IoT.
Some of the distinguishing characteristics of the successful firms are a technology-focused culture and a willingness to seek out IoT expertise by developing internal and external partnerships. Generally, they also exhibit heightened levels of collaboration between their IT departments and business units.
And there are some stark differences in what IT and business executives consider a successful IoT initiative, suggesting that getting both on the same page is critical to success.
Thirty-five percent of IT executives said their IoT projects were a success, a number that dips to 15 percent among business leaders. Their conflicting priorities offer a clue into why this disconnect exists.
IT executives are typically and somewhat unsurprisingly focused on technologies, organizational culture, technical expertise and vendors. Business executives, meanwhile, place greater importance on strategy, business cases, processes and milestones, Cisco’s survey found.
Those who reported slow progress in their IoT projects cited a lack of internal expertise, budget overruns and lengthy completion times. Technical hurdles include integrating various systems and the quality of the data generated by their setups.
At least for now, there’s also no getting around the fact that many IoT deployments are complex. A majority (60 percent) of respondents said that although IoT initiatives look good in theory, in practice they run into unexpected complications.
While daunting, getting it right can pay off for businesses.
Most organizations (73 percent) are using their IoT data to improve their business. Nearly half (47 percent) are using that data to improve the quality or performance of their products and 46 percent are using it to enhance their decision-making capabilities.
Forty-five percent are using the data to lower operational costs while 44 percent are improving their customer interactions or coming up with new ways foster customer engagement. Finally, 42 percent said their IoT data was helping reduce maintenance and downtime.
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
-
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
-
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
SEE ALL
ARTICLES