The major risks involved in Artificial Intelligence
Nobody could contend that life hasn't been more helpful since
the initial breakthrough of Artificial Intelligence in 2012. The world is
moving faster and faster, driven by innovation and technology.
recognition to face recognition enabling you to unlock the new iPhone with your
face to cars self-navigating the streets in Silicon Valley, AI is surrounding
us. And if a seating chart is telling for a tech company's priorities, Google’s
AI researchers were recently moved to sit near the boss in its Silicon Valley
However, with the hype and noise around AI, it’s easy for companies to
take missteps along the way when trying to take advantage of the technology. As
it’s always a good idea to exercise caution when deploying an AI-driven
service, here are a few common pitfalls to watch out for:
1. Being Shielded by the Hype
Adopters need to look beyond the hype to accurately judge AI's
benefits, as it’s far too easy for organizations to underestimate the time,
knowledge, and data required to effectively implement AI systems.
2. Lacking IT Team to Manage AI Effectively
A major pitfall is lacking an IT team that has the expertise to
effectively manage the AI system and interpret insights to their maximum value.
3. Trying to Keep Up With Google
Organizations also can’t fall into the trap of comparing
themselves to Google. Developing and utilizing neural networks the correct way
requires a ton of expertise and computing resources, something that Google
4. Using AI to Answer All of an Organization’s Problems
It’s key to incorporate AI into facets of your organization, but
utilize other key data centre technologies alongside it.