Case Studies

How can AI Consulting Group help your business? Some examples are below!

Customer Experience and Engagement

With Google Review Data Integration, understand what your customers are saying about you and your competitors – the good, the bad, and the ugly. Some examples are below (see Interactive Power BI Examples). AI Consulting Group will enable your marketing and customer engagement teams to analyse your customer experience across all your sites and all your competitor’s sites in a single dashboard.

How CFOs and Executives are Responding to the Coronavirus (COVID) Crisis

PWC conducted two surveys (Globally and the US) about the sentiment and priorities about the COVID-19 outbreak from finance leaders. The top shared finding between both reports indicated that 64% of CFOs will be implementing cost containment measures. The reports can be found here (US & Mexico) and here (Global).

Generic Opportunity Catalogue Example

The Opportunity Catalogue process identified 17 key opportunities. Given the relatively low level of Data and A1 maturity currently at Generic Company, there are a numberof opportunities that have landed in the ‘Opportunity Sweet Spot’.

Monitor & Correctly Pay Salaries, Entitlements, Superannuation, Overtime & Allowances

Analyse and make strategic decisions with confidence by reconciling your payroll data against modern awards, enterprise agreements and legislation. Incorrectly paying employees can result in significant penalties and damaging adverse media attention. The intricate and complex nature of agreements and modern awards demands secure, scalable solutions, able to handle growing transaction volumes and regular, proactive monitoring and testing.

Smart Parking and Optimisation

Modern technology innovation has brought smart parking to councils, motorists and parking operators. The resultant rich information is being optimised by using a combination of Video and Image data, IoT data, Artificial Intelligence and Machine Learning to improve convenience, congestion and urban mobility whilst lowering costs of parking and enforcement, and generally delivering practical information and intelligence to Smart City operators.

Predicting Maintenance & Downtime Events (Mining & Resources)

Mining and Resources Operators are able to replace manual checklists, closed-loop technologies and human senses with telemetry in the environment to collect millions of data points about temperature, sounds, humidity, vibrations, pressure, fluid levels, speed, location, weights, air quality, barcodes, weather and more to actively forecast potential downtime events as well as pinpoint optimal service intervals.

Machine Learning and Predictive Analytics for the Modern CFO

Reduce forecasting and budgeting time/effort by up to 80% whilst improving accuracy and consistency. Summary CFOs are using Machine Learning and Predictive Analytics to slash forecasting and budgeting time/effort by up to 80%, whilst improving accuracy and consistency and even facilitating out-of-cycle re-forecasting. This is being achieved by using historical data for autonomous predictive modelling, […]

Predict and Prevent OH&S Related Incidents

Occupational Health & Safety Summary Organisations are predicting when safety related incidents are likely to occur. This significantly improves the safety of employees and customers, especially in roles that involve physical labour, trades, travel, vehicle operators and all non-desk work. Advanced predictive analytics can determine the likelihood of workplace incidents after significant overtime or surrounding […]

COVID-19 Data by AI Consulting Group

COVID-19 (Coronavirus) Data Analytics Active Case Analytics Click image below to view analytics

Predict Churn with AI

Artificial Intelligence (AI), Machine Learning (ML), and Customer interaction analytics provide accurate perspective to reduce churn.

Artificial Intelligence for Theme Parks and Attractions

Artificial Intelligence enhance customer experience and operational efficiency in Theme Parks and Attractions.

Improve Efficiency & Safety in Mining using Drones and Robots

Improve mining safety and efficiency using drones and robots. Explore possible use cases for various stages of the mining operation.

Transaction Analytics in Mining

Financial monitoring in a mining operation is as complex as the stages of operating one as it involves substantial capital expenditure with revenue dependent on several dynamic factors such as production level, the value of ores and assets, cost of mining and milling, and transportation requirements. Mining companies have multiple transactions ranging from grading ore, […]

Dynamic Risk-Based Pricing for Loan, Mortgage, and Insurance

Financial institutions are moving out from the old pricing schemes to dynamic risk-based pricing for various products including loans, mortgages, and insurances. Instead of utilizing legacy rules-based matrices, companies have turned to machine learning and predictive modeling to establish risk-based loan pricing and loan terms based on credit profile and creditworthiness or the associated ability of the borrower to pay back the loan.

Strategic Data and AI Think Tank

Identify ROI-based Data and AI opportunities and practical next steps toward successful implementation through this strategic think tank.

Intervene and Prevent Potential Incidents

Create a technology-based safety culture with Machine Vision, Roster Optimisation, Edge-IoT to intervene and prevent potential incidents.

Personalised Marketing Using Machine Learning

Using existing store data, utilise Machine Learning to create data-driven customer personas to cluster customers and understand their purchasing behaviors. With ML’s predictive model coupled with personalised marketing analytics, push personalised multi-channel offers and communications where the customer is most active.

Predict OH&S Incidents with Machine Vision

Predict OH&S incidents through machine vision, image pattern recognition, and sensors by identifing deviation from required safety standards.

Monitor and Alert for PPE Compliance

Computer Vision combined with Machine Learning can automate the process of monitoring PPE compliance. Existing CCTV’s can be integrated with Artificial Intelligence that use the concept of Bounding Boxes to autonomously identify personnel who are not using or improperly using PPEs.

Azure Data Foundations

When moving to a modern data platform, namely Azure, the topic of governance must be addressed early to ensure successful cloud adoption within the enterprise. Azure Data Foundations is the due diligence and accompanying policies to give the client, its management and board the confidence that the right considerations have been thought through, and the appropriate research completed for success.

Machine Learning for Investment Analytics and Trading

Trading strategies based on AI and ML, both in short-term, and longer-term investing, are gaining popularity; being used to develop trading strategies, develop liquidity searching algorithms, risk management, defining and assessing credit ratings, predicting defaults, hedging overlays, portfolio clustering, portfolio recommendations and more.

Strategic Data and AI Think Thank (Opportunity Catalogue)

The Opportunity Catalogue experience exposes our clients to the ‘Art of the Possible’ and then converges actionable Priority Lists, Roadmaps, Business Cases and Technology Strategies to accelerate innovation progress.

Supervised, Unsupervised & Reinforcement Learning

Organisations are exploring and generating real returns on their investments from Machine Learning, namely, Supervised Learning, Unsupervised Learning and Reinforcement Learning. This unlocks and identifies new opportunities and helps avoid previously unknown risks.

Student Sentiment, Text Analytics & Chatbots

Student Chatbots and Analytics are using Artificial Intelligence (AI) to simulate interactive human conversation by using key pre-calculated phrases based on auditory or text-based signals. When combined with data from your student database, student learning cycle and campus location, chatbots can analyse current conversations with seasonal data points, to create personalised student interactions.

Predicting Maintenance & Downtime Events (Mining)

Sentiment, Text Analytics & Chatbots

Chatbots are using Artificial Intelligence (AI) to simulate interactive human conversation by using key pre-calculated phrases based on auditory or text-based signals. Collecting and analysing chatbot interaction data is imperative in improving interactions and resolve more issues without the need for human intervention.

Predicting Maintenance & Downtime Events

Manufacturers are able to replace manual checklists, closed-loop technologies and human senses with telemetry in the manufacturing environment to collect millions of data points to actively forecast potential downtime events as well as pinpoint the correct time to replace parts or perform services.

Employee Cost Analytics – Monitor & Correctly Pay Salaries, Entitlements, Superannuation, Overtime & Allowances

Analyse and make strategic decisions with confidence by reconciling your payroll data against modern awards, enterprise agreements and legislation. Correctly pay employees and avoid penalties and adverse media attention.

Customer Experience and Engagement Analytics for Public Review Data

Machine Learning, Natural Language Processing and Advanced Analytics will help you understand the public perception of your venues/locations, comment themes and trends. Anyone with a physical presence can benefit from an unbiased view of their venues/locations.

Segmentation, Customer Value, Churn & Purchase Behaviour

Organisations are using customer-centric marketing to create personalised messages, products, content, and more to ensure the consumer is getting exactly what they want and need.

Transaction Analytics

Modern transaction analytics augments the CEO/CFOs operations with super-human memory, processing power and insights to generate timely, consistent, deliberate and reliable analytics for a greater chance at success. Monitoring can be run off-site (for separation of duties) or deployed internally to trusted teams.

Data Platform Modernisation

Modern business strategy demands secure, scalable solutions to handle growing data estates and the need for unprecedented levels of processing power to enable advanced applications such as IoT, Predictive Analytics, Data Science, Machine Learning and Artificial Intelligence.

Video, Image & IoT Based Optimisation

Mining Circuits and Resource Extraction Circuits are being optimised by using a combination of Video and Image data, IoT data, Artificial Intelligence and Machine Learning. The data collected from video and images are being combined with IoT telemetry to optimise throughput.

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