Posts

Gold Coast Excellence - Queensland

Gold Coast Excellence Awards 2020

Gold Coast Excellence Awards 2020 - IT and Digital

The Gold Coast Business Excellence Awards launched in 1996 and in 2020 are celebrating our 25th year! During this time the Awards have grown to be recognised as the region’s most comprehensive and prestigious business awards scheme, offering specific and meaningful benefits to the wider Gold Coast business community.

TechConnect is super proud to support the Gold Coast community, growing locally, nationally and internationally.  With a presence in Brisbane, Melbourne, Perth and South Africa we have grown from our humble base in the Gold Coast, Queensland.

This was the first year that TechConnect has entered this award and are thrilled to have won the category of IT & Digital Business. We look forward to the annual awards and competing with some of the amazing businesses on the Gold Coast.

Gold Coast Excellence Awards 2020 Queensland

 

Pictured below is Mike Cunningham – CEO of TechConnect (left) and Fabrizio Carmignani – Professor of Economics Griffth University (right).

Gold Coast Excellence Awards

TechConnect IT Solutions_Data

Digital Transformation with Data

TechConnect IT Solutions_Data

Harnessing Data to drive effective digital transformation

The COVID-19 pandemic has made clear that businesses need to be prepared for flexible, remote working practices.

As lockdowns forced offices to close and people headed home to limit the potential spread of the virus, many organisations found they weren’t prepared to provision the necessary work from home (WFH) technology and processes for their staff to continue with business as usual.

As a result, businesses have been required to undertake (or accelerate) a significant digital transformation journey to get up to speed. As these transformation journeys roll out, the need to harness data effectively becomes more critical than ever for a successful, long term change. Here’s what you need to consider.

A strategic approach

Before beginning a digital transformation, it’s critical to have a strategy in place to explain how you will manage, store, secure and use your data. Yet, this is a step that’s often forgotten in the rush to transform and digitise processes.

A data strategy should be driven by the needs of your business. Your strategy will also define how to make decisions about the use of data, more capably manage data flow, and secure information effectively.

Any successful plan will identify realistic goals along with a road map for rolling it out. This ensures that you’re properly prepared for every step of the journey.

Beginning the journey

A digital transformation unshackles an organisation from the past. It empowers you to move into the future, free of outdated technology and slower manual processes.

For example, take mobile and cloud technology. While we were once restricted to an office environment for productive working, it’s now possible for geographically diverse teams to collaborate as efficiently as they would in a traditional office setting. Files, apps, and other resources can all be accessed remotely, and meetings held virtually, giving workplaces and workforces the ability to be truly flexible.

However, the reality of a digital transformation is that with staff spread across locations, there are a range of new infrastructure management issues to consider. Chief among these is data security.

Keeping data safe is vital as users access business networks and devices remotely, often without the protection provided by robust on-site architecture. It’s important to decide how you’ll service and secure company devices, and how to make sure users and the data they handle and generate will be protected, and implementing those systems early.

Harnessing the power of data

With a clear data strategy in place and your digital journey underway, you can start to take advantage of the power of your data and use it to drive improved decision-making internally and externally.

Artificial intelligence (AI) and machine learning (ML) can be used to sort your unstructured data, learning as they go to uncover valuable insights. Once the data has been cleansed, you can enrich it by adding third-party data or public datasets to uncover more hidden insight.

The adoption of AI and ML also frees your people for bigger picture tasks. Instead of manually sorting through stacks of data, they can concentrate on delivering valuable and creative work powered by the insights you’ve identified – ultimately working towards the goals outlined in your data strategy.

Gathering data helps to deliver external benefits to your business too. It can improve customer service by identifying current pain points or uncover new customer segments for targeting – the possibilities are endless!

The lesson in the journey

Businesses shouldn’t underestimate the change that needs to be undertaken in digital transformation journeys. They require significant planning and thought before beginning. However, while the challenge is large, data can make the journey less difficult and more successful.

Accessible, accurate and relevant data enables businesses to make better informed decisions and deliver actionable insights. And by establishing a data strategy up front, you can better understand, apply and secure your data to meet the needs of your organisation.

If you’re asking yourself questions such as “Are we doing things the right way?” or “Can we do this better?” why not get in touch and let’s explore how TechConnect can deliver results for your business as you undertake a digital transformation.

CRN Fast50 Award

CRN Fast50 for 2019 Award

CRN Fast50 - Number 15TechConnect was listed in the CRN Fast50 for 2019, settling into the 15th position in our debut year. A day after receiving the Deloitte’s Technology Fast 50 awards we were again presented a great result. Read about the Deloitte’s Technology Fast 50 here if you missed it.

The CRN Fast50 award, now in its 11th year, recognises the fastest-growing companies in the Australian IT channel, based on year-on-year revenue growth. “The 2019 CRN Fast50 put up astounding numbers: they grew at least 15 times faster than Australia’s economy.” – Simon Sharwood, Editorial Director – CRN. CRN Fast50 Award

This was the first year that TechConnect has entered this award and are thrilled to be listed 15th, with a growth rate of 67%. Simon Sharwood also stated, “It’s a huge achievement to have made it into the CRN Fast50. Your company’s growth not only outpaced most others in our industry, it also vastly exceeds Australia’s current overall growth rate!”.

This is a great achievement for us, we would like to thank our customers and team, without them this would not have been possible. Team TechConnect would also like to extend a congratulations to all the other winners. TechConnect looks forward to expanding our growth and moving up the list in coming years.CRN Fast50 - Clinton Thomson

Deloittes Technology Fast50

Deloitte – Technology Fast 50 Australia 2019

Deloittes Fast50 AwardWe are extremely excited and honoured to have been listed as one of Deloitte’s Technology Fast 50 Australian companies. Ranking 43rd on the list with a growth rate of 161%, in our debut year. This is a huge achievement not only for the company but also for our team and the hard work they have put in to provide solutions for our customers.

“Now in its 18th year in Australia, the Deloitte Technology Fast 50 program ranks fast growing technology companies, public or private, based on percentage revenue growth over three years.” – DeloitteDeloittes Technology Fast50

“More than ever, this year showcases world-leading Australian business innovation and it is a tremendous achievement for any company to be named among the Deloitte Technology Fast 50,” Deloitte Private Partner and Technology Fast 50 Leader, Josh Tanchel.

With our significant growth over the years, our hard-working team and most importantly our valued customers, we were able to achieve this amazing outcome. TechConnect is getting ready for exponential growth, through expanding into new markets and deep data specialisations.

The awards night was held on Wednesday, 20th of November in Sydney at the Museum of Contemporary Art. Clinton, our Director, was there to accept the award on behalf of TechConnect. “It was a great night; Well done to all the other recipients and thank you to Deloitte’s for putting it all together.” Clinton Thomson, TechConnect IT Solutions.Deloitte Fast50 - Clinton Thomson

What's the difference between Artificial Intelligence (AI) & Machine Learning (ML)?

What’s the difference between Artificial Intelligence (AI) & Machine Learning (ML)?

What’s the difference between Artificial Intelligence (AI) & Machine Learning (ML)?

The field of Artificial Intelligence encompasses all efforts at imbuing computational devices with capabilities that have traditionally been viewed as requiring human-level intelligence. 

This includes:

  • Chess, go and generalised game playing 
  • Planning and goal-directed behaviour in dynamic and complex environments 
  • Theorem proving, proof assistants and symbolic reasoning 
  • Computer vision  
  • Natural language understanding and translation 
  • Deductive, inductive and abductive reasoning 
  • Learning from experience and existing data 
  • Understanding and emulating emotion 
  • Fuzzy and probabilistic (Bayesean) reasoning 
  • Communication, teamwork, negotiation and argumentation between self-interested agents 
  • Early advances in signal processing (text to speech) 
  • Music understanding and creation 

Like intelligence itself it defies definition.

As a field, it predates Machine Learning and Machine Learning was seen as an early sub-field. Many things that are obvious or no longer considered AI have their roots in the field. Many database models (hierarchical, network and relational) have their roots in AI research. Optimisation and scheduling were early problems tackled under the umbrella of AI. Minsky’s Frame model reads like an early description of Object Oriented programming. LISP, Prolog and many other programming languages and programming language properties emerged as tools for or as a result of AI research.

Neural networks (a sub-field of machine learning) emerged in the 80s in the form of perceptrons and were heavily studied until it was demonstrated that a perceptron was unable to calculate XOR. However, with the invent of error back propagation over networks of perceptrons (a way to systematically train the weights between neurons) it was shown that neural networks have equivalent computational power to universal turing machines (if it can be computed on a turing machine a correctly configured neural network can also implement that same function).

With the invent of Deep Learning in the 2010s the popularity of machine learning has soared as great successes have been achieved using the approach. Due to limits on computational power, traditional neural networks were trained on meticulously human engineered features of the datasets, not the raw datasets themselves. With the progress in cloud, gpus and distributed learning it became possible to create much larger and deeper neural networks. This progressed to the point that large raw datasets could be used directly to train with and get predictions from. In so doing the neural networks extract their own features from the data as part of this process. Many of the recent advances have been achieved due to this (in addition to better neuron activation functions, faster training algorithms, new network architectures).  The successes have also inspired people to use Deep Learning as a means of solving some of the other problems in general AI (as discussed above) and this may explain why a convergence or confusion between AI and Machine Learning is perceived by many.

Portfolio Items