This Week in AI

AI Webinar - Codeless AI Apps for Business in 365

In this free webinar we showcase Microsoft’s new secret AI weapon, the AI Builder for Powerapps and Flow. Enable everyone to work with AI! Give everyone in your organisation—regardless of their technical experience—the ability to add AI capabilities to the apps they create and use. An AI Builder to automatically identify and track tea products using object detection, your very own business card reader to take a picture on your phone and convert this to a contact, an invoice scraper, and a model to detect when your customers will buy!

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Zero to AI Apps with the AI Builder in Office 365

Explore AI techniques that will continuously improve your business all within your Office 365 Powerapps environment. We build a business card reader to take a picture on your phone and convert this to a contact. We also build an invoice scraper, a tea product image classifier, and a model to detect when your customers will buy! You will also use Power BI to visualise your Powerapps models.

AUD $1,100 Includes 1 day training, price per person
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Intro to Machine Learning and Deep Learning for Beginners

If you want to learn about Machine Learning and Deep Learning then you are going to need to know some Python. This one day course is an AI cook-off for professionals or students that don’t have an extensive mathematics background. We give you essential skills in Machine Learning and Deep Learning in R and Python as well as methodology for training machines to do mundane tasks.

AUD $1,100 Includes 1 day training, price per person
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Building Conversational Message Bots

Get a one day fast track to empower you with skills to train, build and manage chatbots. With this one day course, you can easily create chatbots that truly understand custom queries and answer them within seconds not the next day or the next week. Get the skills you need to build conversational message bots with Microsoft, Amazon and Google, as well the latest bot technologies.

  • Learn about Microsoft Conversational Artificial Intelligence.
  • Use Intents recognition models to understand your messages
  • Build your first Agents with leading Bot Builders from Microsoft, Google, Amazon and more!

AUD $1,100 Includes 1 day training, price per person
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Computer Vision for Beginners

Computer Vision lets you count, locate, and identify selected objects within any image. You can use these AI models to extract information from pictures you take with the camera, or load into an app. Get your team up to speed on one of the most interesting technologies in Artificial Intelligence right now. Computer Vision will give you the edge, and where off the shelf vision models don’t cut, you will learn how to program your own custom vision classifiers.

AUD $1,100 Includes 1 day training, price per person
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Replay of AI Webinar (Facial Recognition Opportunities for Business info)

In this recent webinar we looked at some of the biggest face recognition models available on the marketplace today. We compared Amazon, Microsoft, IBM, Google and more, and put them to the test using open source image libraries. In a room of 24 people, how many faces do these major AI/Cloud vendors detect ? 24 ? 18? 12? 1? None ?? What difference does it makes for your business?

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AI FOR Health

Health care

Bringing conversational AI to healthcare

The Microsoft Healthcare Bot service empowers healthcare organizations to build and deploy an AI-powered, compliant, conversational healthcare experience at scale. The service combines built-in medical intelligence with natural language capabilities, extensibility tools and compliance constructs, allowing healthcare organizations such as Providers, Payers, Pharma, HMOs, Telehealth to give people access to trusted and relevant healthcare services and information.

Health care

Azure Security and Compliance Blueprint – HIPAA/HITRUST Health Data and AI released

Healthcare organisations around the world are leveraging the power of artificial intelligence and the cloud. Optimise your patients’ health outcomes using an intelligent, trusted and secure health cloud platforms. Develop connected solutions that engage patients and empower care teams, while saving costs by improving clinical and operational efficiency. The Azure Security and Compliance blueprint provides a secure end-to-end foundation for health organisations to ingest, store, analyse and interact with sensitive and regulated data. It features a secure technical implementation guide and automation to help deploy a HIPAA- and HITRUST-ready environment, and it includes step-by-step documentation, a cybersecurity threat model, component architecture, a customer responsibility matrix, an external review, and deployment scripts to automate deployment.


AI has become an important part of the banking industry where competition, cost, risk and security fuel the pressure cooker. One of the easiest way to make a difference with AI is with natural language understanding (NLP), to fine tune customer service times and improve the service quality to satisfy the customers. Machine learning is another AI tool that can learn the customer/client behaviours and introduce better personalised products, services and interactions. An additional application for machine learning in bank industry is Fraud detection. Regarding the high importance of customer security in banking and in the payments industry, processing biometric data like fingerprint, voice biometrics and face recognition are considered by a growing number of banks to be disruptive technologies to replace passwords. Based on a report by google intelligence, using AI biometric data processing is going to be used for more than 1.9 billion users by 2021.


Machine Learning

Replacing older statistical-modeling approaches with machine learning techniques experienced on average 10 percent increases in sales of new products, 20 percent savings in capital expenditures, and a 20 percent decline in churn.


Facial Recognition

Banks are already working with Microsoft Cognitive Services to remove the need for cards at ATMs with Face identification.


Voice Biometrics and Natural Language

Provide personalised customer service by authorising callers based on their voiceprint. Build automated communications with natural language processing that are two-way – not just blasts at your customers.

AI FOR Retail


Reducing Workforce Costs by 10%

Training a machine to make workforce optimisations is like a dream come true. What if we told you we could save you 10% of your payroll with intelligent workforce predictions ? Data is the new oil, and we always find important insights, even at the early exploration stage. We starting small, through exploration of existing data, where we produce the initial workforce optimisation model. We monitor the results, fine tune with the most up to date research, and use machine learning to re-train, and apply new thinking to infuse AI into your business applications.

AI Shoe

Shopping Style Matching with AI (AWS)

Amazon, true to its culture of continuous innovation, has been experimenting with creating new customer experiences. Products like Echo Look use machine learning (ML) to allow a customer to ask “Alexa, how do I look?” Then Alexa gives you real-time feedback on your outfit, and you receive smart, specific, and fun styling advice. AWS powered chatbots can provide personalised shopping experience using image galleries that help you shop with similar styles.

AI FOR Government


1. Engage and connect with citizens

Provide highly secure, inclusive, and deep citizen engagement.​

2. Modernise the government workplace

Empower more secure inter-departmental and cross-agency collaboration.

customer service

3. Enhance government services

Apply data analytics to provide actionable, predictive, and efficient citizen-focused services.

AI FOR Agriculture


AI Pest Management that keep breeding data

  • Archives provide habitat and food for a range of pest species
  • Pest infestation damages and destroys archived materials
  • Pest control must be strategic, taking account of:
  • User safety and regulatory compliance
  • Efficacy of control
  • Cost in labour and materials
  • System management has a heavy data component. Manual data methods work against system effectiveness.
  • Photos taken over time provide a breeding ground for machine learning models to classify pest species at the point of capture
Data Driven

Data Driven AI Farming begins with a map


  • Everything in agriculture can be mapped – farms, blocks, trees, water, hazards etc
  • Farmers have always known this and will show you a mudmap as soon as you visit. Most farmers have aerial photos. Many now have digital maps made with Geospatial Information Systems (GIS)
  • Every asset on a farm can be mapped in a GIS system
  • Data structures can be attached to the assets
  • Forms can be built to collect exactly the data you want
  • The cloud and smart devices let you take this into the field and operate in real time
  • Advanced analytics/reporting engines can organise this data how you need it.
  • As you take photos on the farm or indoors, artificial Intelligence models continue to learn and become really good at classifying


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