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Market Trend 4—Enterprise Horizontal
Middleware, services, processes, search, and collaboration go semantic.
As shown in the diagram below, just about everywhere
one can look in an enterprise, someone
somewhere is applying semantic technologies to
some problem. Drivers of enterprise business value
are all strong— new capability, life cycle ROI,
performance, and strategic edge.
Semantic Wave 2008 examines enterprise markets
for semantic technologies including twelve
categories of commercial-off-the-shelf software
(COTS) packages that are estimated to represent
a combined software product and service revenue
of more than $160 billion in 2010. The report
projects the transition of these market segments
from conventional to semantic COTS technologies.
Amongst the first tier of large ICT technology
providers, areas that are being targeted first are
related to the internal stack, or plumbing for suites
of applications because these changes make few
demands on customer while establishing a semantic
application framework that developer can
use as a foundation. Service oriented architecture
becomes semantic SOA. Changes that impact
application concept of operations, and user interface
come next.
Also, enterprise software has a long tail. There are
an estimated 56 million firms worldwide, including
1.5 million with more than 100 employees, and
around 80,000 businesses with more than 1,000
employees. The transition to semantic software
technologies will facilitate mass customization of
commercial-off-the-shelf solutions enabling software
vendors to address more levels of the market
with sustainable solutions.
Below:
What Semantic Technologies Are Being
Employed in Enterprise?
Executive
Summary
22
Defense, Intelligence, sense-making, data &
content integration, question answering,
reasoning, inference, anti-terrorism, security,
business intelligence; decison support
Business Management
Risk management, regulatory compliance,
fraud detection, money laundering,
real-time auditing; crisis and emergency
management: system, network outages; case
management; business continuity
Mergers & acquisitions, data & systems
integration, enterprise architecture,,
ontology-driven information systems,
semantic interoperability, semantic web
services, virtual data center,
PLM platform
Supply chain integration, design,
sourcing optimization, integration &
interoperation, CPFR
Supplier
Input management, capture,
classification, tagging, routing,
data & content consolidation,
data cleaning
Discovery, aggregation,
auto-classification, meta-search,
federated query, smart search,
intelligent domain research.
Design advisors, simulation-based
acquisition; virtual manufacturing
Input
R&D
Supplier
Relationship
Management
Human
Resources
Enterprise
Resource
Planning
Finance &
Accounting
Enterprise
Data, Content & Asset
Management
ITC Modernization
Product
Lifecycle
Management
Automation
Customer
Relationship
Management
Logistics
Production Operations
Output
Support
Customer service automation, customer
self-service, personalized information
on-demand, 360°-view of customer, field
service operations, integrated CRM
Customer
Output management, enterprise
publishing platform , auto-generation
of content & media, auto-language versioning,
cross-media, semantic portals
Dynamic planning, scheduling,, routing,
optimization. Adaptive systems;
Autonomic systems; Autonomous
products/services
Source: Project10X
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