By Håkan Eriksson, Chief Technology Officer,
Telstra
Telstra
Telstra’s Chief Technology Officer is
looking ahead to 2018, nailing down the top technology trends that will impact
global businesses during the year. From the changing realm of cyber security,
to the possibilities of real-time data, businesses of all sizes will feel the
effects of these technologies.
looking ahead to 2018, nailing down the top technology trends that will impact
global businesses during the year. From the changing realm of cyber security,
to the possibilities of real-time data, businesses of all sizes will feel the
effects of these technologies.
1.
Behavioural Analytics-based Systems and Blockchain for
Cyber Security
Behavioural Analytics-based Systems and Blockchain for
Cyber Security
Frost & Sullivan recently found that
95.7 percent of organisations in the Asia-Pacific region are susceptible to advanced
cyber-attacks. The rise of cyber-threats that have not been registered or
experienced anywhere else is creating a need for tools that can plough through
voluminous data and highlight network traffic anomalies. Analysts will then
investigate the highlighted data traffic, confirming with a high degree of
certainty those that could lead to a “bad” event.
95.7 percent of organisations in the Asia-Pacific region are susceptible to advanced
cyber-attacks. The rise of cyber-threats that have not been registered or
experienced anywhere else is creating a need for tools that can plough through
voluminous data and highlight network traffic anomalies. Analysts will then
investigate the highlighted data traffic, confirming with a high degree of
certainty those that could lead to a “bad” event.
On that note, behavioural
analytics-based systems are pulling security into the realm of Big Data-based
solutions. In 2018, demand for appliance-based security services should
continue to decline as software-based, hosted cyber security solutions emerge.
Security management will then follow a deep learning approach throughout the
application stack to improve both quality and speed of detection and response.
analytics-based systems are pulling security into the realm of Big Data-based
solutions. In 2018, demand for appliance-based security services should
continue to decline as software-based, hosted cyber security solutions emerge.
Security management will then follow a deep learning approach throughout the
application stack to improve both quality and speed of detection and response.
With users connecting to internet-based
applications via laptops, smartphones, tablets and IoT devices, we can no
longer ring-fence corporate systems from potential attacks. Security through
obscurity is no protection, with malware constantly disguised as legitimate
business emails and DDoS attacks often affecting large numbers of small and
medium-sized businesses that share the same web host platform.
applications via laptops, smartphones, tablets and IoT devices, we can no
longer ring-fence corporate systems from potential attacks. Security through
obscurity is no protection, with malware constantly disguised as legitimate
business emails and DDoS attacks often affecting large numbers of small and
medium-sized businesses that share the same web host platform.
Interconnected supply chains and
industry ecosystems will continue to drive blockchain maturity for trust and
verification. The decentralised nature of blockchain makes it inherently less
vulnerable to attack. To alter any individual entry, hackers would need to
compromise 51 percent of that entry’s copies, providing tremendous security.
These features – the multiple verifications, the lack of a single server to
attack – make blockchain ideal for use in enterprise security tools.
industry ecosystems will continue to drive blockchain maturity for trust and
verification. The decentralised nature of blockchain makes it inherently less
vulnerable to attack. To alter any individual entry, hackers would need to
compromise 51 percent of that entry’s copies, providing tremendous security.
These features – the multiple verifications, the lack of a single server to
attack – make blockchain ideal for use in enterprise security tools.
2.
Enterprises Will Double Down on Real-time Analytics
and Digital Twins
Enterprises Will Double Down on Real-time Analytics
and Digital Twins
Most enterprises have embarked on a
digitisation journey to remove manual processes, connect sensors to key pieces
of equipment, collect real-time data about their systems, and automate as much
as possible. They are also
looking to visualise and make physical world decisions based on information across
their entire digital footprints.
digitisation journey to remove manual processes, connect sensors to key pieces
of equipment, collect real-time data about their systems, and automate as much
as possible. They are also
looking to visualise and make physical world decisions based on information across
their entire digital footprints.
Real-time analytics and digital twins
that run in the cloud will provide individuals with the optimal interface for
dealing with digitised parts of their companies. A visual representation of a
company’s connected ecosystem (via a dashboard or VR) throughout the enterprise
will require real-time analytics capabilities beyond network and application
performance and across the supply chain. This consolidation of first-hand and
third-party data environments will create integrated views that allow, for
instance, a warehouse ERP system upgrade window to be moved or changed due to
emergency services information in a geography not directly connected to the
enterprise.
that run in the cloud will provide individuals with the optimal interface for
dealing with digitised parts of their companies. A visual representation of a
company’s connected ecosystem (via a dashboard or VR) throughout the enterprise
will require real-time analytics capabilities beyond network and application
performance and across the supply chain. This consolidation of first-hand and
third-party data environments will create integrated views that allow, for
instance, a warehouse ERP system upgrade window to be moved or changed due to
emergency services information in a geography not directly connected to the
enterprise.
Taking this further, through digital
twins, an energy company, for example, can use its digital environment to
inform the configuration of each wind turbine prior to construction. By
analysing the data from each turbine that is fed into its virtual equivalent,
this allows the generation of efficiency gains. Digital twins eliminate
guesswork when determining the best course of action to create or service
critical physical assets.
twins, an energy company, for example, can use its digital environment to
inform the configuration of each wind turbine prior to construction. By
analysing the data from each turbine that is fed into its virtual equivalent,
this allows the generation of efficiency gains. Digital twins eliminate
guesswork when determining the best course of action to create or service
critical physical assets.
In this approach, real-time data is
displayed as a virtual instance of a real machine or process – it’s “digital
twin” – and the human operator monitors or manipulates this instance in a
familiar way. This lowers the training effort, allows the operator to be
located remotely, and provides a rapid path to value.
displayed as a virtual instance of a real machine or process – it’s “digital
twin” – and the human operator monitors or manipulates this instance in a
familiar way. This lowers the training effort, allows the operator to be
located remotely, and provides a rapid path to value.
IoT is one of the drivers for the
emergence of multi-source data integration and “digital twins”. By end-2017,
the Asia-Pacific region is set to have more than five million new industrial
IoT connections[1], driven by
Industry 4.0 initiatives in countries like China, Japan, Korea and Singapore.
These technologies are transforming manufacturing processes to reduce
costs, monitor assets, optimise maintenance, reduce downtime and enable the
creation of connected products.
emergence of multi-source data integration and “digital twins”. By end-2017,
the Asia-Pacific region is set to have more than five million new industrial
IoT connections[1], driven by
Industry 4.0 initiatives in countries like China, Japan, Korea and Singapore.
These technologies are transforming manufacturing processes to reduce
costs, monitor assets, optimise maintenance, reduce downtime and enable the
creation of connected products.
Beyond industrial use, real-time
analytics and digital twins will drive innovation and performance across the
broader enterprise. According to IDC, companies that invest in these
technologies in 2018 will see a 30 percent improvement in response and
lifecycle times of critical processes.
analytics and digital twins will drive innovation and performance across the
broader enterprise. According to IDC, companies that invest in these
technologies in 2018 will see a 30 percent improvement in response and
lifecycle times of critical processes.
[1] Industrial Internet Connectivity Tracker market report,
ABI Research, 2017
ABI Research, 2017
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