BOSTON — Despite their enormous clout, the Big 3 of instant messaging service providers (Microsoft, AOL and Yahoo!) can’t make the technology a success among enterprise customers on their own.
Systems integrators, software developers and consultants, need to help convince corporate decision makers that the technology is compelling and workable.
“Currently, there is no ecosystem to take existing enterprise infrastructure and integrate it with IM infrastructure,” Microsoft executive David Gurle said in his keynote address here at Instant Messaging Planet Conference and Expothis morning.
Another key is investment. Unlike some technology giants, Microsoft does not have a dedicated investment fund, prefering to get involved with companies later in their development, Gurle said. For example, Microsoft recently pumped $51 millioninto peer-to-peer player Groove Networks.
The Redmond, Wash., firm does, however, regularly consult with venture capitalists to express what applications they would like to see used in conjuction with its new enterprise IM product, Greenwich, due out later this year.
“Startups have agility that a company the size of Microsoft or IBM doesn’t have,” said Gurle, whose group is readying Microsoft’s Enterprise IM offering, Greenwich, for later this year. AOL and Yahoo are working on their own enterprise products.
Jeff Crown, former head of Lycos’ venture arm, and currently managing parter of Aqueduct Partners, said the IM space is similar to the Internet in 1995.
“It’s still wide open, it’s still the wild wild West,” said Crown, now managing partner at Aqueduct Partners, a Wellesley, Mass., consulting firm serving small and medium businesses.
So far, the flow of capital hasn’t come anywhere near the amount pumped into the Internet space in its early days. This is due partially because some funds have eschewed technology investments after being burned by the Internet bubble as well as a more anemic economy in general.
Crown thinks investors would also like to see some harder numbers about the market potential and ROI of enterprise IM.
To be sure, there are other impediments to the ubiquitous adoption of IM in the enterprise, including a business model that will allow users of the Big 3 to communicate with each other. Gurle, a former executive with a French telecom, said the fear is customer churn, a problem experience by European wireless carriers where interoperability reigns.
A consistent name space, enhanced security protections and standards for authenticating users, are other problems that have been repeatedly voiced at the show.
An encouraging sign, Gurle believes, is that large customers, like pharmaceutical companies to financial services firms, are starting to ask some hard questions about the practical integration of IM.
If these growing pains are overcome, then IM’s potential is enormous. The Big 3 know it will go faster and smoother if they don’t have to go it alone.
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
FEATURE | By Samuel Greengard,
November 05, 2020
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
FEATURE | By Cynthia Harvey,
October 07, 2020
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
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.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
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.