THE FUTURE OF AI: Machine Learning and Knowledge Graphs
This is a great read for forward-thinking organisations that are keenly aware of the power their data represents and who understand that its proper use empowers intelligent decision making.
Setting the New Standard in Secure Software Development: The SolarWinds Next-Generation Build System
Organisations that support the public and private sectors must be far more proactive than before, keeping a vigil on bad actors, both internal and external, foreign and domestic.
Smart City Technology Management
Smart cities are the future, beyond a doubt. Nonetheless, the road ahead is neither easy nor clear. Beyond the many available technologies and models, there are many pitfalls and obstacles. Read on to know more about Smart City Technology Management.
EXCLUSIVE: It’s cloud and data access for Australian Institute of Health and Welfare in 2019
OpenGov Asia had a chance to chat with Geoff Neideck, Group Head, Data Strategies and IT, Australian Institute of Health and Welfare. He shares with us some projects his team has embarked on and where they’re headed in the new year.
Second Philippine microsatellite launched to space
Diwata-2 will orbit at a higher altitude of approximately 620km. It was developed with the mentorship and support of Japan’s Hokkaido University and Tohoku University. Diwata-2 is a pivotal precursor to the next phase of Philippine space technology, called the STAMINA4Space Program.
Maintaining the Upkeep of IT Security and Confidentiality: A Bank’s Journey through Overcoming its IT Challenges
Amidst an
unstable external infrastructure and internal IT security and confidentiality,
Al-Arafah Islami Bank does everything it can to protect its customers and
ensure customer satisfaction through employing the help of Kaspersky solutions
to safeguard its networks.
The Worst Enemy: Cyber-threats
Kaspersky Lab’s ‘State of Industrial Cybersecurity 2018’ report shows a
crucial contradiction among the industrial community: companies have strong IT
networks but often fail to protect their Operational Technology (OT).
A bank’s journey to secure operations in a growing virtual desktop infrastructure and virtual server environment
The first commercial bank incorporated
using joint capital from both sides of the Straits, Fubon Bank serves the whole
country from its base in Shanghai. While technology to serve its IT
structure was in place, finding a solution to secure its growing VDI and
virtual server environment was not easy.
Global tyre company enhances cybersecurity to protect business-critical communications and data
This case study looks
into the efforts taken by Hankook Tire, one of the world’s largest tyre
companies, to serve its increasingly complex business cybersecurity requirements.
Hankook Tire selected Kaspersky Lab as it was capable of providing the products, services and infrastructure
necessary to protect business-critical communications and data through their cybersecurity
solutions.
How Australia’s largest pharmacy group protects customer medical record and data
This case study looks at how Australia’s largest pharmacy group protects customer medical record and data through secure and reliable IT solutions.
Enabling a digital lifestyle using data analytics and machine learning
To enhance customer experience for its 60 million customers, Globe Telecom looked into the use of machine learning to deliver real-time targeted marketing and optimised products and services, while maintaining compliance with the latest industry data regulations in the country.
Delivering personalised omni-channel customer experience through real-time analytics
The EDH delivered immediate value to
Western Union by supporting predictive analysis on structured and unstructured
data sets, at the time of transaction. Consequently, the company was able to
impact transactions in real-time and drive customer compliance in a way that
drove better conversions.
Developing a scalable data platform to support evolving IoT-based insurance propositions
The
resulting NGP enables Octo Telematics to store, process, and analyse data
generated by over 5.3 million drivers totaling 175 billion driven miles, and
that increases by over 11 billion additional data points daily. It also allows
for complete flexibility in the selection of sensors, analysis and output of
data for all insurance and automotive services.
Precision-targeted marketing through big data enabled machine learning
Traditional systems could no longer be used with the increased volumes of data coming in. Novantas also needed to process and analyse a greater variety of data, such as audio from call center recordings and unstructured text in payments transactions data.
From genomic data to precision medicine via machine learning
Inova had generated petabytes of genomic and patient data, and needed to provide a way to process that data into a single data infrastructure. It could take weeks and months to pull data together for researchers with its previous data warehouse.
Sharing real-time relevant data with utility consumers – Saving costs while helping the planet
A smart meter may generate 100 readings per day, per household. When that is multiplied by thousands of customer households for just one utility provider, the volumes of data are enormous. Data size is further compounded by related data streams including demographics data, smart appliances and sensors, weather data, consumer behavior information, and social media data
Enhancing customer journeys and improving fraud detection through machine learning
Machine learning applications enable to the
Bank to predict customer needs and determine in real time which offers to give
each customer. For example, staff can deliver real-time, localised, and
personalised interactions to each customer at the right time, with the right
content, and using the right channel.
Harnessing data for improved customer service and smart urban planning
The EDH was used to combine network topology (GIS) data with terabytes of DSL performance (time series) and electrical line test data to grade the quality of every line in the network. This helped indicate if slow speed was a network issue or a customer issue. Using this network analysis, the probability of a successful outcome of an engineer dispatch could be predicted, reducing wasted in-person engineer visits.
Saving lives with big data analytics that predict patient outcomes
Cerner’s Enterprise Data Hub allows data to be brought together from an almost unlimited number of sources, and that data can be used to build a far more complete picture of any patient, condition or trend.
How DBS transformed into a data-driven organisation
The enterprise data hub, built in partnership with Cloudera, enabled DBS to scale out more economically, experiment more, and think about the types of data in terms of billions of events rather than millions of events. It allowed DBS to answer questions before they’re asked to more
effectively engage customers and deliver better service.
The innovation ecosystem in Singapore – An urban logistics case study
Mr. Khoong Hock Yun talked about using innovation to solve real-world problems in Singapore, in areas such as urban logistics.
STB collaborating with AliPay on content, data analytics and marketing to enhance Chinese tourists’ experience in Singapore
Alipay and STB will also share data and analytics on trends in Chinese travel to Singapore with tourism industry stakeholders in Singapore.
