Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
New technology typically undergoes a long evaluation process before being adopted in the enterprise. One tech leader suggests that the process might go faster were it not for salespeople who are persistent to a fault.
SANTA CLARA, Calif. — How do enterprise CIOs decide which new technology products and services to adopt? There may not be any one answer or template for all organizations, but a panel of executive IT buyers agreed the decision is rarely simple or quick.
“I see a see a lot of pure-play vendors who assume, for example, if they have a product that works with Google Docs that’s all they need,” Ralph Loura, CIO at the Clorox Company, said during the panel discussion here at the DEMO conferenceTuesday. “We are looking at using Google in some areas, but any solution has to co-exist with Office, PowerPoint and the other apps we’re going to continue to use.”
Loura and others on the panel offered advice, including a list of do’s and don’ts, to the entrepreneurs and startups in the audience who hope to sell to the enterprise. A key takeaway was that smaller and relatively unknown companies selling to the enterprise need to do their research, and shouldn’t expect big sales right away.
“You’d be surprised how many don’t do the homework to understand our business,” said Loura.
John Murray, CIO of Genworth Financial Wealth Management, agreed. “If [a salesperson] wants me to tell them about my business, the call’s basically over. We don’t have time for that,” he said.
Read the rest at CIO Update.
RELATED NEWS AND ANALYSIS
-
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