What I do?

Advantages

• Access to billions of users
• Access to data
• Access to computing power
• No grant proposals (usually)
• Many real world problems to work on

Users

• Literally millions of users
• Chance to create real impact

Data

• Access to real world data
• Check YFMMC100M

Infrastructure

• Development grids
• Countless VMs on demmand
• Option of real world deployments

No grants writing

• Nor teaching

Problems to work

• Users requests
• Engineer's requests
• Unused datasets

Good Haiku

Industry research

We have the big data

and the users too

Challenges

• Access to users
• Restrictions on data
• Quaterly results, and revenue driven
• Engineering oriented
• Internal facing
• Bigger consequences
• Intellectual Property

Access to users

• Users behind a sales firewall
• Company wants to avoid spam

Restrictions on data

• Users' privacy is a serious issue
• Company wants to avoid spamimg users

Quaterly results, and revenue driven

• Results measured by quarters
• Is your research impacting product?
• How is your research generating revenue?
• You have to be two quarters ahead of development

Engineering oriented

• A PhD is "an engineer with an ego"
• You are required to write code like an engineer
• You spend most of your time consulting

Internal facing

• Infovis is usually restricted to internal use
• PMs think that infovis is to complicated for users

Bigger consequences

• "Change it back!!"
• One mistake can jeopardize the company's reputation

Intellectual Property

• Companies want to patent everything
• If it is critical for the company you cannot publish

Bad Haiku

Industry research

PhDs with big egos

money rules it all