A Smart City is a community or municipality where traditional infrastructure, networks, and services are made more efficient through the pragmatic use of applied digital and telecommunication technologies, for the benefit of its inhabitants and businesses.

In Smart Cities, effective application of a portfolio of digital technologies can translate into:

  • Improved public services for citizens;
  • Better use of resources; and
  • Reduced environmental impact.

The Smart City concept goes well beyond the deployment of applied technology for more efficient resource use and reduced emissions. It means:

  • Smarter urban transport;
  • Improved utilities and waste disposal;
  • More efficient lighting, heating, and air conditioning;
  • A more interactive and responsive city administration;
  • Improved public engagement;
  • Enhanced travel and tourism facilities;
  • Safer public spaces; and
  • Improved services for the aged and in-need population.

Galbraith & Co. is partnered with leading global providers of Smart City infrastructure, products, and services to deliver these benefits to our cities and communities. We are committed to improving both urban and rural communities through the application of appropriate innovative technologies and business models,

Learning Management is the capacity to design pedagogic strategies that achieve learning outcomes for students of all types and kinds.

The core of learning management is the Learning Management Design Process (LMDP). The LMDP is a curriculum planning process comprising eight learning design based questions. This process, developed by Professor David Lynch of CQU in the late 1990’s, has been used primarily as a tool to train teachers. These questions when answered in sequence focus the teacher on what is important when planning to teach students.

The LMDP organises its eight questions through three sequential phases: Outcomes; Strategy; and Evidence. Each phase represents the bodies of information that its associated questions seeks to pursue. The LMDP represents a re-think of the various curriculum development models that have predominated the planning of teaching and curriculum for decades.

Since its inception, learning management has evolved and matured as a structured digital approach teaching and learning.

Numerous proprietary and open source software platforms, known as Learning Management Systems (LMS), have evolved to deliver courseware to students of all types. Ever increasingly, LMS services utilise web browsers to deliver education and training content ranging from managing training and training records to distributing courses to employees/students over the internet.

Typically, LMS provide an employer/instructor with a way to create and deliver specialized content, monitor employee/student participation, and assess their overall performance and completion of the required courses. A learning management system may also provide employees/students with the ability to use interactive features such as threaded discussions, video conferencing, and discussion forums to reach their full potential.

Online learning environments are a new but rapidly growing primarily due to cost and convenience. Such environments offer a secure place where a large number of people receive appropriate training and possibly accreditation. Often it is difficult for teachers and trainers to get an entire group of people together in the same place at the same time. Companies and institutes are finding it hard to keep track of paper work proving training completion, forms, and evaluations. With LMS, many of these problems are readily addressed.

LMS allows organisations to quickly train and track their employees Knowledge, capabilities and often-mandatory professional accreditation.

Galbraith & Co. utilises LMS for both internal and external purposes. We have excellent insight in to the LMS platforms most appropriate to any given learning requirement. We have an expert teaching management team who can advise, develop, populate and operate these platforms to meet any particular requirement.

The Internet of Things (IoT) refers to uniquely identifiable objects and their virtual representations in an Internet-like structure. The term IoT was proposed by Kevin Ashton in 1999 though the concept has been discussed since the early 90’s.

The concept of automated tagging of objects using Radio-Frequency Identification (RFID) was seen as a prerequisite during the evolutionary stages of IoT. More recently a multitude of other technologies have evolved such as near field communication, barcodes, QR codes and digital watermarking. These emerging technologies allow a lower cost and more flexible solution.

A key aim of IoT is to be able to transform daily life in several ways. For example, such technology could enable content creators and owners to better manage their digital rights, so a customer purchasing a digital movie could choose to pay a higher fee and be able to watch the movie for a whole year, pay a moderate fee and have the right to watch the movie for a week, or pay a lower fee to watch the movie just once.

Today however, the term Internet of Things has evolved to denote advanced connectivity of devices, systems and services that goes beyond the traditional machine-to-machine (M2M) communication and covers a variety of protocols, domains and applications.

According to Gartner, there will be nearly 26 billion devices on the IoT network by 2020. According to ABI Research, more than 30 billion devices will be wirelessly connected to the IoT network, sometimes also known as Internet of Everything (IoE). Regardless of which research you prefer, as with the Internet, it is clear that IoT will have a significant impact on all our everyday lives in the foreseeable future.

There is general consensus amongst technology experts that significant IoT-driven disruptive innovation will continue, even if they disagree on its degree and ultimate ramifications. Galbraith & Co. suggest that every organisation that interacts with either people or objects should monitor the evolution of IoT closely and determine its potential impact upon their business operations.

There are clear signs that IoT devices and applications are already emerging in a wide variety of locations, including:

  • Bodies: Many people will wear devices that let them connect to the Internet and will give them feedback on their activities, health and fitness. They will also monitor others (their children or employees, for instance) who are also wearing sensors, or moving in and out of places that have sensors.
  • Homes: People will be able to control nearly everything remotely, from how their residences are heated and cooled to how often their gardens are watered. Homes will also have sensors that warn about everything from prowlers to broken water pipes.
  • Communities: Embedded devices and smartphone apps will enable more efficient transportation and give readouts on pollution levels. Smart systems might deliver electricity and water more efficiently and warn about infrastructure problems.
  • Goods and Services: Factories and supply chains will have sensors and readers that more precisely track materials to speed up and smooth out the manufacture and distribution of goods.
  • Environment: There will be real-time readings from fields, forests, oceans, and cities about pollution levels, soil moisture, and resource extraction that allow for closer monitoring of problems.

Our research indicates that, in the foreseeable future, IOT networks will:

  • Deliver a ubiquitous global, immersive, invisible, ambient networked computing environment transparently linking the continued proliferation of smart sensors, cameras, software, databases, and
  • Disrupt many existing and emerging business models; and
  • Provide automated tagging and analytic mapping of physical, logical, and social domains.

Galbraith & Co. closely monitor the rapidly evolving trends, technologies, and applications. In conjunction with our technology partners, we provide on-going insight, strategy and programs to our clients that deliver optimal outcomes to counter threats or gain competitive advantage.

An Innovation Ecosystem is a network of often otherwise disparate organisations, both large and small, that are working towards a common innovation objective.

It is effectively an economic and technology collaboration that links like-minded organisations that include:

  • Business;
  • Government;
  • Investors;
  • Researchers;
  • Start-Ups; and
  • Universities.

All businesses and government agencies should be seeking to introduce and drive an innovation culture across their organisation. Running a truly innovative company means constantly improving your innovation culture and process. Running a successful innovation ecosystem, however, demands makes people outside the company measurably smarter, richer, and more innovative.

Leaders of truly innovative and disruptive organisations such as Jeff Bezos, Larry Page, and Satya Nadella similarly grasp the strategic, operational, and cultural distinction that innovation ecosystems bring to their business. They are leaders who are publicly committed to creating better ecosystems, not just better products.

While successful innovators reap profits from new products and services, successful innovation ecosystems cultivate profitability by encouraging others to create valuable new and complementary offerings. Their financial futures depend on how innovative they make their customers, clients, channels, and partners. Truly effective ecosystems manage to turn outsiders into de facto collaborators.

Enabling external innovation becomes as important as improving one’s own. In fact, successful innovation ecosystems create virtuous cycles of external creativity, which drives internal adaptation. In turn, internal innovation enables and inspires external investment.

Galbraith & Co. are specialists in scouting, identifying, connecting, building, and managing often complex international innovation ecosystems across disciplines that include:

  • Cleantech;
  • Energy;
  • Life Sciences;
  • Materials; and
  • Information & Communication Technology.

Cloud Computing & Storage technologies, of which there are many variants, provide virtual computing and storage services on demand. The more sophisticated Platform-as-a-Service (PaaS) offerings also provide hybrid cloud services (mix-and-match to an applications particulat requirements) and development and application catalogues.

Along with Software-as-a-Service (SaaS) and Infrastructure-as-a-Service (IaaS), PaaS is a service model of cloud computing. In this model, the consumer creates an application or service using tools and/or libraries from the provider. The consumer also controls software deployment and configuration settings. The provider provides the networks, servers, storage, and other services that are required to host the consumer's application.

PaaS facilitates the deployment of applications or services without the cost and complexity of buying and managing the underlying hardware and software and provisioning hosting capabilities. It is characterized as providing low initial cost, incremental cost as your service usage grows, self-service, best practices built-in, resource sharing, automated deployment, management services, lifecycle management, and re-use.

PaaS offerings may also include facilities for application design, application development, testing, and deployment as well as services such as team collaboration, web service integration, and marshalling, database integration, security, scalability, storage, persistence, state management, application versioning, application instrumentation, and developer community facilitation.

Besides the service engineering aspects, PaaS offerings include mechanisms for service management, such as monitoring, workflow management, discovery, reservation, etc.

Galbraith & Co. regards PaaS as highly disruptive of more traditional, inflexible and costly IT deployment models based on hardware/software purchase and licensing. We monitor on-going rapid developments in this market and have deployed a number of PaaS instances. Indeed, this site is developed, and is deployed and maintained utilising such technology. We advise our clients to consider utilisng these technologies to reduce IT cost and risk while improving productivity.

A connected community is a community of individuals with shared interests who digitally collaborate, potentially crossing geographical and political boundaries in order to pursue mutual goals or objectives. Connected communities resemble real life communities in the sense that they provide a digital alternative to more traditional transactions between individuals, business, and/or government.

Connected communities encourage interaction and transaction between participating membership whether it be to access expert advice, conduct a transaction, or simply to interact with other parties. For example, community members may interact over a shared passion through various means: message boards, chat rooms, social networking sites, or virtual worlds. The most popular of these communities include Facebook and Twitter but although appealing to mass markets these commercial services are often not well suited to a communities specific and often sensitive requirements,

The explosive diffusion of the Internet since the mid-1990's fostered the proliferation of connected communities in many form.. These communities synthesise Web 2.0 technologies and have been described as Community 2.0. online communities. They depend upon social interaction and exchange between users emphasising the unwritten social contract between all levels of community participation.

Whereas, social media platforms like Facebook (friends & family) and Twitter (news and opinion) cater for the mass market, more specialist virtual communities may coalesce around a particular economic or social community such as capacity building, civic participation, economic development, emergency services, health & well-being, and industry supply chain.

Galbraith & Co. is a leading exponent of social-enabled portals having designed, developed and deployed a number of leading examples.

The ever-growing repositories of digital data, sometimes known as Big Data, are potentially highly valued enterprise resource.

Business intelligence (BI) is a set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes.

BI can handle enormous amounts of unstructured data to help identify, develop and otherwise create new opportunities. BI, in simple words, makes interpreting voluminous data friendly. Making use of new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability.

The classic definition of BI comprises an increasing number of components and functions, including:

  • Multidimensional aggregation and allocation
  • De-normalization, tagging and standardization
  • Real-time reporting with analytical alert
  • Interface with unstructured data source
  • Group consolidation, budgeting and rolling forecast
  • Statistical inference and probabilistic simulation
  • Key performance indicators optimization
  • Version control and process management
  • Open item management

BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.

Though the term business intelligence is sometimes a synonym for competitive intelligence, BI uses technologies, processes, and applications to analyse mostly internal, structured data and business processes while competitive intelligence gathers, analyses and disseminates information with a topical focus on company competitors. If understood broadly, business intelligence can include the subset of competitive intelligence.

Galbraith & Co. has deep domain knowledge of all aspects of BI from simple reporting on complex data sets through to leading edge predictive consumer analytics & human behaviour modelling.

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