AI is rapidly moving
from the imagination of science fiction to the need for real-world industry.
But most enterprises are still struggling to take advantage of its full
potential. We have identified the key obstacles to successful AI adoption at
the Deloitte AI Institute and tackle those challenges head-on.
“The State of AI
in the Enterprise, 3rd Edition,” technology implementation and financial
investment in AI continue to grow dramatically, according to our latest global
survey of AI trends. Survey participants say they are gaining a competitive
advantage from AI, both in their own companies and across their sectors, and
expect to see rising AI-powered change in the future.
Challenges of AI in the Workplace
Increased AI use, of
course, is a double-edged weapon. On the one hand, this means that AI will be
able to support more organizations. On the other hand, though, it levels the
playing field and decreases the early movement’s benefit. Overall, this
suggests that any company will need to strengthen its AI capabilities. Still,
it will be much more difficult for those hoping to gain a competitive advantage
through AI to function.
AI Use Cases in Various Business
The lack of
business-specific use cases and solutions is one of the main obstacles to AI
adoption. AI still provides only general capabilities that can be very useful
for any form of organization. However, their real-world potential is restricted
before those general skills can be implemented in unique ways to a specific
form of company.
More and more
enterprises have experimented with AI in recent years, advancing their
data-related skills, gaining new technology and talent, and incorporating AI
into their business processes. Yet, enterprises would need to continually push
the limits of what they can do with AI in an age of ubiquitous AI, with
advanced AI technologies readily accessible to everyone.
Implementing Trustworthy AI
A study found that
considering the increasing importance of AI in industry, most participants
still feel somewhat equipped to handle AI risks. Too few companies are adopting
concrete practices to address those risks.
As AI extends into
almost every modern living area, there is an exponential rise in its related
risks. Unfortunately, “major” or “serious” concerns about
potential risks for their AI initiatives are identified by more than half of
respondents, and only four in 10 rate their organization as “completely
prepared” to resolve them.
Moreover, 56 percent
say that their organization is delaying the adoption of AI technologies because
of the emerging threats, and the same proportion thinks that negative public
expectations would slow or stop the adoption of certain AI technologies.
The innovation of AI via Collaboration
AI research and
developments are progressing so rapidly that it is challenging to be entirely
up to speed on anything for any company or to push systematic AI progress on
its own. At the AI Institute, from entrepreneurs, investment firms, and
universities to industry experts, consulting firms, research institutes, mature
AI product companies.
We put together the best thinking and perspectives from every layer of the AI ecosystem. Then we combine these ideas with the in-depth market, technology, and applied AI experience of ONPASSIVE to launch discussions and speed up innovation.
Our current priorities include:
business-specific use cases can help the company achieve competitive
differentiation in an environment where AI is prevalent.
issues related to AI ethics and trustworthiness.
- Widening AI innovation boundaries.
- Getting ahead of the COVID-19 pandemic’s rise
in AI interest and adoption.
organizations through cutting-edge innovation and technology to improve AI. We
question the status quo and advance AI and human-machine communication in
communication with the brightest AI minds, including business thought leaders,
start-ups, research & development teams, entrepreneurs, investors, and