Consumerization of IT in the enterprise has been defined as the specific impact that consumer-originated technologies can have on enterprises. It reflects how enterprises will be affected by, and take advantage of the technologies and models that originate and develop in the consumer space rather than in the enterprise IT sector. At least one study has shown that over the next 12-18 months, organizations expect to see consumerization of IT in the enterprise creating a positive impact in user satisfaction, user productivity, process efficiency and collaboration, and business agility. IBM claims that a “bring your own device” (BYOD) policy can result in increased productivity and innovation, in increased employee satisfaction, and sometimes in cost savings. From the point of view of vendors of niche cheminformatics software, “monetization” is a real problem: since the market for mobile apps is essentially a consumer one, buyers expect apps to be free or very cheap. Probably many hundreds of “chemistry apps” have been developed, but few are truly useful. I will give some illustrative examples. Technical approaches are either based on HTML5, or on platform-specific development; the debate on the pros and cons of each has an element of religious wars about it. Cloud computing cannot be ignored. Regardless of whether desktop, web or mobile wins, or an entirely new platform becomes the standard, it is clear that change is afoot in the way that chemists access the software that they need.
10. Security (mobile and cloud)
• Is a mobile platform more insecure than
a “traditional” one?
• You cannot relax just because the
scientist is using a PC connected to a
network on site
• Scientists do online searches in hotel
rooms
• Google collects data about your usage
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11. Security
• iPhone is somewhat secure off the shelf
• Big companies have Bring Your Own Device (BYOD)
policies
• Strict authentication, timing out etc.
• Companies can install their own security software on
the device
• Off-the-shelf solutions: AirWatch Enterprise Mobility
Management platform, MobileIron Mobile Enterprise
Security
• In some cases no data on the device; data are in the
cloud
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12. Business Models
Problem for the vendor:
• Consumer market
• Buyers expect apps to be free or very cheap
Solutions:
• Use app for marketing or publicity
• Extend reach for older technologies
• Capture interest with free app; sell premium
services
• Monetization on the server side
• Sell support, seats, database access etc.
• Customized version in private app store
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13. Technologies
• Web (HTML5)
• Platform-specific, native
• A two pronged approach
– Responsive Web design
– Plus native mobile app
• e.g., ChemSpider Mobile
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14. Web-based Approaches
Pros
• One code base, all
platforms (mobile and
others)
• Same interface on all
devices (optimized for
each device)
Cons
• Some claim HTML5 is
limiting, slow
• Not as easy to access
cameras, voice, GPS etc.
• Poorer user experience
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15. Platform-Specific Apps
Pros
• Make best use of
platform-specific features
• Easier access to
cameras, voice, GPS etc.
• Better user experience
Cons
• Multiple code bases
• Overhead of supporting
multiple platforms
• Interfaces differ according
to platform
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22. BIOVIA Pipeline Pilot Mobile
• “Mobilize” existing Pipeline Pilot protocols,
often with no changes necessary
• Use touch-enabled chemistry sketcher for
molecule input
• Create new protocols with rich input such as
voice, GPS coordinates and camera
• Create mobile-optimized (HTML5) charts and
reports
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29. mHealth Apps
• More than 165,000 mHealth apps
available
• Connectivity to sensors and wearables
drives use
• Nearly half of all downloads generated
by just 36 apps
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IMS Health. Patient Adoption of mHealth. 2015
30. Reading
• Warr, W. A. App-etite for change. J. Comput.-Aided
Mol. Des. 2015, 29, 297-303.
• Scardilli, B. The IoT space: new ways to connect
people and things. Information Today, 2015, 32 (7),
1, 26-27.
• Houlton, S. Science at your fingertips. Chem. World
2014, 11 (3), 52-55.
• Clark, A. M. Cheminformatics: mobile workflows and
data sources. In: McEwen, L. R., Buntrock, R. E.,
Eds.; Future of the History of Chemical Information.
Volume ACS Symp. Ser. 1164; American Chemical
Society: Washington, DC, 2014; pp 237-253.
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31. Reading
• Ekins, S.; Clark, A. M.; Swamidass, S. J.; Litterman
N.; Williams, A. J. Bigger data, collaborative tools and
the future of predictive drug discovery. J. Comput.-
Aided Mol. Des. 2014, 28 (10), 997-1008.
• Ekins, S.; Clark, A. M.; Williams, A. J. Incorporating
green chemistry concepts into mobile chemistry
applications and their potential uses. ACS
Sustainable Chem. Eng. 2013, 1 (1), 8-13.
• Clark, A. M.; Ekins, S.; Williams, A. J. Redefining
cheminformatics with intuitive collaborative mobile
apps. Mol. Inf. 2012, 31 (8), 569-584.
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32. Websites
• Cheminformatics 2.0 blog about chemical information
software for next generation computing environments
(Alex Clark): http://cheminf20.org/
• SciMobileApps Wiki (2014):
http://www.scimobileapps.com/index.php?title=Main_
Page
• Mobile Chemistry. The Changing World of Chemical
Information (David Evans, ICIC 2012):
http://www.haxel.com/icic/2012/programme/monday-
15-oct-2012#mobile-chemistry-2013-the-changing-
world-of-chemical-information
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34. Conclusions
“…one key flaw with a mobile strategy: unless there is a
real and significant market BUYING interest or REAL
opportunity to market backend technology or content,
providing free mobile apps will often become a
significant cost burden to the providers, especially if the
apps require backend servers. Since our scientific
computing market is so “niche” (small), spending time
and resource to develop and maintain mobile apps
without having realistic monetization opportunities is
simply not cost-justified. Unfortunately, people have
come to expect free apps and free access…”
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Steve Muskal, Eidogen-Sertanty
35. Conclusions
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“People are not prepared to pay for
scientific apps. They will pay $10 for a
holiday book, or $100 for a textbook,
but they will not do the same for apps.
But millions of people are prepared to
pay $2 in order to crush sweeties, or
throw birds at pigs”
David Evans, Reed Elsevier Properties
36. Acknowledgments
• Alex Clark, Molecular Materials Informatics
• Valentina Eigner-Pitto, InfoChem
• David Evans, Reed Elsevier Properties
• Steve Muskal, Eidogen-Sertanty
• Burkhard Schaefer, BSSN Software
• Guy Singh, Linguamatics
• Kevin Theisen, iChemLabs
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