ARTIFICIAL INTELLIGENCE:
WHAT TO EXPECT
The following information about
the future trends in AI is derived
from expert in-house research
and analyses.14 Without doubt, AI
will continue to be implemented
in virtually every vertical enterprise
industry to help automate
and heighten efficiencies via its
current capabilities coupled with
evolving IoT and smart technologies.
Cybersecurity and the quest for
viable solutions will continue to be
a primary concern. Consider the
following research and forecasts
that shed light to AI trends
and concentrated deployments:
• Enterprise Asset
Management
• Telecommunications
and Cable Management
• Work Order Management
46 I ICT TODAY
• IoT related data investment
in Europe alone will reach
$50.2 billion by 2021.
• No major industry vertical will
be without real-time, edge
computing driven data strategy
by 2023 with up to 64 percent
of all segments (twelve industry
categories) implementing at least
one IoT related real-time data
service offering by 2025.
• The healthcare vertical continues
as one of the more lucrative
enterprises where Real-Time
Patient Monitoring System
• Space Allocation and
Chargeback
• Hoteling and
Reservations
• Move Management
• Lease and Property
Administration
• Capital Budgeting and
Planning
• Project Portfolio
Management
• Environmental
Monitoring and
Management
• AI supported integrated workplace
management system (IWMS) will
be a $3.7 and $2.3 billion dollar
global opportunity for new
construction and building
retrofits respectively by 2023.
An IWMS solution is leveraged
to support a more integrated
building control system
(e.g., lighting, HVAC), as well
as optimizing the workplace
as shown in Figure 6.
• Preventive Maintenance
• Condition Assessment
• Material Safety Data
Sheets Management
• Fleet Management
Property
Management
Software
Maintenance
Management
Software
Technology
Management
Software
Facility and
Space
Management
Software
and Operational Intelligence
represent $198.8 and $51.9 million
dollar global revenue
opportunities respectively by 2022.
FIGURE 6: AI assisted IWMS determines optimal allocation of building resources based on
environmental factors, workflow, availability and location of personnel and organizational assets,
making it useful in intelligent corporate or university campuses where multiple buildings are
often multi-purpose and shared among departments.15
• While there are great
expectations for present
AI solutions, which are
largely purpose-built
to solve one problem
typically utilizing one
device, there are even
greater expectations for
general purpose AI, often
referred to as Artificial
General Intelligence
or AGI that over
an application
programming interface
(API) can solve multiple
problems and utilize
multiple devices on a
cross-industry basis. AGI
represents an $8.2 billion
opportunity for the global
healthcare industry alone
by 2023.