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Semantic Computing will make the Internet of Things (IoT) more valuable
The Internet of Things (IOT) has been described as enabling the billions of
interconnected devices that are gathering, and distributing vastamounts of
information. The value of all these devices that areembedded in everything
frombuildings, cars, retail shelves, and wearable health monitors is in the data
that these devices generate. In the future, with refined analytics tools there
will be a significant improvementin organisational efficiency from the analysis
of this data. Currently less than 10% of the data collected is being used
effectively.
The traditional approach to computing using structured data cannot process
the kind of information needed to fulfil the expected benefits promised from
IoTtechnology. Semantic computing, with its data interoperability platform
and its exploitation of contextual meaning has no such limitations. Modern
organisations will be able to review information from IoTdevices’ disparate
sources, and make moreinformed decisions.
A cognitive computing platformwith semantic computing at its core,
enhanced by other Artificial Intelligence techniques such as Natural language
Processing (NLP) and Machine Learning will assist. A Semantic Computing
solution has the ability to access and process data from a variety of sources –
structured data (fromITsystems and devices) and unstructured data (voice,
video, text). The semantic computing process addscontextto the data, which
provides quicker analysis and significant process advantages by the reducing
the amountof data needed in the analytical process and allows better analysis
of all data being selected.
There are five key areas whereSemantic Computing can augment the IoT
benefits
1) Generating Customer Engagement:
Semantic computing utilising information generated from IoTdevices will allow
an organisation a deeper engagement and more specific understanding of the
relationship with their customers and delivery greater value, and increase
loyalty, because the organisation can focus on products and provision of
services to their customers knowing that they are important to the customers.
2) Semantic Can Transform:
Semantic Computing data interoperability platforms can access both
structured data fromITsystems and unstructured data (video, spreadsheets,
text). This provides organisations with a more completed picture of their
environment, ecosystemand competitors. This increased awareness of
information from data sources, workflows, and multimedia provides
operational effectiveness, and better forecasting.
3) EnhancedPredictive Capability:
The most powerfulbenefit Semantic Computing-enabled IoTwill deliver is
management insights to understand and handle the unpredictable complex
future. Semantic computing and supporting tools will allow organisations
to uncover patterns and opportunities that would be impossibleto find using
traditional methods and computing solutions.
4) ClosedLoopfor Innovation:
The use of the data collected from IoTdevices will enable the introduction of
new products and services that provideintelligent feedback for providors
about their users and their environment. This will allow for continuous
improvement and development of additional capabilities not previously
imagined.
5) Extending Specialist Expertise:
Semantic computing was initially designed to be the perfect research assistant
and supportan organisations’ specialistbusiness needs. The solution utilises
data stored as RDF Triples and is optimised to access specialist Ontologies, and
the ability to utilise an ecosystem of complementary Ontologies. Semantic
computing is designed to supportcomplementing techniques to provide
business with added insights and even utilise the tools to teach employees
complex procedures and become experts.
The benefit of the Internet of Things (IoT) is to connect humans more closely
with their environment. But we need to providethe information and data from
everyday activities, using data interoperability to use all the data. We need to
exploit the contextual views of this data captured to understand the data and
turn it to information and finally knowledge, utilising Semantic computing.
Semantic Computing provides the vehicle to realise the real value of the
Internetof Things, and help us justify the costof implementing this new
technology.

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Semantic Computing will make the Internet of Things 2

  • 1. Semantic Computing will make the Internet of Things (IoT) more valuable The Internet of Things (IOT) has been described as enabling the billions of interconnected devices that are gathering, and distributing vastamounts of information. The value of all these devices that areembedded in everything frombuildings, cars, retail shelves, and wearable health monitors is in the data that these devices generate. In the future, with refined analytics tools there will be a significant improvementin organisational efficiency from the analysis of this data. Currently less than 10% of the data collected is being used effectively. The traditional approach to computing using structured data cannot process the kind of information needed to fulfil the expected benefits promised from IoTtechnology. Semantic computing, with its data interoperability platform and its exploitation of contextual meaning has no such limitations. Modern organisations will be able to review information from IoTdevices’ disparate sources, and make moreinformed decisions. A cognitive computing platformwith semantic computing at its core, enhanced by other Artificial Intelligence techniques such as Natural language Processing (NLP) and Machine Learning will assist. A Semantic Computing solution has the ability to access and process data from a variety of sources – structured data (fromITsystems and devices) and unstructured data (voice, video, text). The semantic computing process addscontextto the data, which provides quicker analysis and significant process advantages by the reducing the amountof data needed in the analytical process and allows better analysis of all data being selected. There are five key areas whereSemantic Computing can augment the IoT benefits 1) Generating Customer Engagement: Semantic computing utilising information generated from IoTdevices will allow an organisation a deeper engagement and more specific understanding of the relationship with their customers and delivery greater value, and increase loyalty, because the organisation can focus on products and provision of services to their customers knowing that they are important to the customers. 2) Semantic Can Transform:
  • 2. Semantic Computing data interoperability platforms can access both structured data fromITsystems and unstructured data (video, spreadsheets, text). This provides organisations with a more completed picture of their environment, ecosystemand competitors. This increased awareness of information from data sources, workflows, and multimedia provides operational effectiveness, and better forecasting. 3) EnhancedPredictive Capability: The most powerfulbenefit Semantic Computing-enabled IoTwill deliver is management insights to understand and handle the unpredictable complex future. Semantic computing and supporting tools will allow organisations to uncover patterns and opportunities that would be impossibleto find using traditional methods and computing solutions. 4) ClosedLoopfor Innovation: The use of the data collected from IoTdevices will enable the introduction of new products and services that provideintelligent feedback for providors about their users and their environment. This will allow for continuous improvement and development of additional capabilities not previously imagined. 5) Extending Specialist Expertise: Semantic computing was initially designed to be the perfect research assistant and supportan organisations’ specialistbusiness needs. The solution utilises data stored as RDF Triples and is optimised to access specialist Ontologies, and the ability to utilise an ecosystem of complementary Ontologies. Semantic computing is designed to supportcomplementing techniques to provide business with added insights and even utilise the tools to teach employees complex procedures and become experts. The benefit of the Internet of Things (IoT) is to connect humans more closely with their environment. But we need to providethe information and data from everyday activities, using data interoperability to use all the data. We need to exploit the contextual views of this data captured to understand the data and turn it to information and finally knowledge, utilising Semantic computing. Semantic Computing provides the vehicle to realise the real value of the Internetof Things, and help us justify the costof implementing this new technology.