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AI &AUTOMATION BAROMETER REPORT
What are your biggest concerns when it comes to implementing AI?
Pace of change
• Staying ahead of the curve
• That development becomes obsolete very quickly.
• The way it will develop in the future
• Things move so fast
Decision dilemma
• AI is in its infancy, and knowing in which direction to implement it currently is the most
complicated part.
• Finding a realistic way to implement helpful AI solutions for a company our size (smaller sized LSP)
• Is it a sustainable development? Will it pay off? How will the output quality change over time with
more and more generated or synthetic data? How to avoid the talent crunch?
• The hype is far greater than the benefits. Sometimes there are more practical efforts in regard to
work practice that yield more results and position the workflows in better places for future machine
learning approaches.
Rescources &finances
• Costs (x9)
• Effort required
• It’s not always cheaper, easier or better. Savings in some cases aren’t worth increased risk.
• Lack of internal technical resources to devote to globalization/localization.
• Money to pay for the changes, and time-to-market. It is obviously the right direction but the majority
of small LSPs, like us, may not afford the investment, or will come to late, and will be gone from the
market soon.
CHALLENGES
• Knowledge and change of mindset
• Lack of internal know-how
• Mental change in the team to understand and use AI
• New technology so we have a learning curve to figure out how best to utilize this new technology in a
safe and responsible manner.
• Resistance to change
• Staff awareness and training
AI &AUTOMATION BAROMETER REPORT
What are your biggest concerns when it comes to implementing AI?
Pace of change
• Staying ahead of the curve
• That development becomes obsolete very quickly.
• The way it will develop in the future
• Things move so fast
Decision dilemma
• AI is in its infancy, and knowing in which direction to implement it currently is the most
complicated part.
• Finding a realistic way to implement helpful AI solutions for a company our size (smaller sized LSP)
• Is it a sustainable development? Will it pay off? How will the output quality change over time with
more and more generated or synthetic data? How to avoid the talent crunch?
• The hype is far greater than the benefits. Sometimes there are more practical efforts in regard to
work practice that yield more results and position the workflows in better places for future machine
learning approaches.
Rescources &finances
• Costs (x9)
• Effort required
• It’s not always cheaper, easier or better. Savings in some cases aren’t worth increased risk.
• Lack of internal technical resources to devote to globalization/localization.
• Money to pay for the changes, and time-to-market. It is obviously the right direction but the majority
of small LSPs, like us, may not afford the investment, or will come to late, and will be gone from the
market soon.
CHALLENGES
• Knowledge and change of mindset
• Lack of internal know-how
• Mental change in the team to understand and use AI
• New technology so we have a learning curve to figure out how best to utilize this new technology in a
safe and responsible manner.
• Resistance to change
• Staff awareness and training
