The future of banking is hyper personalised
Next generation digital banking experiences are hyper personalised. This is brought about by player engines, like Moroku’s Odyssey, that create a picture […]
Systems, Habits and Challenges for Digital Engagement
The 75 Hard Challenge was created in 2019 by entrepreneur Andy Frisella, CEO of 1st Phorm. 75 Hard is not a fitness […]
Digital Children Banking Update
Digital children banking continues to grow as fintechs and neobanks globally recognise the potential of engaging young users early. The market is driven […]
Moroku Money integrated with Mambu digital core
Moroku Money & Mambu: A Game-Changing Integration for Challenger and Community Banks As the financial landscape evolves, banks are adapting to meet […]
Agentic AI impact
Agentic AI is the number one trend shaping banking in 2025 Agentic AI, such as Google Agentspace, refers to artificial intelligence systems […]
Digital Banking Trends
As the digital banking landscape continues to evolve, staying informed about the latest trends is crucial for maintaining a competitive edge. Over […]
Earth Day 2025 – Levelling Up Engagement
Earth Day: Levelling Up Energy Engagement Earth Month is a fabulous opportunity to re think energy app engagement. This annual awareness […]
Business Payments
In early 2024, Moroku and Lessn launched a new business payments platform for small to medium sized businesses in Australia to save […]
The criticality of Data Maturity in a world of AI
Data maturity refers to an organisation’s ability to effectively manage, analyse, and utilise its data to drive business outcomes. It reflects the […]
Loan Data Regression Update
The loan market in Australia, like many markets, is heavily concentrated around a handful of large lenders (CBA,ANZ,NAB,WBC) and brokerages (Aussie Home […]
Ethical AI
How Banks Are Deploying Responsible AI: Insights from Lloyds and Moroku As artificial intelligence (AI) continues to revolutionise the financial sector, banks […]
Regression Models in Loan Origination
Competitiveness in lending is predicated on decisioning speed - Saying Yes or No as fast as possible. Whilst there is a lot of work going on to automate workflows the ROI of these investments is dependent on the intelligence of the underlying risk engines. This means having a granular understanding on the relationship between the inputs and the outputs. The finer grained this is, the less data is required, making the application and decisioning processes faster.
Banking Industry Dynamism
Abstract The Council of Financial Regulators has released an “Issues Paper” in response to the federal treasury’s instruction into the competitiveness of […]
Emotional Intelligence and Connection within the Customer Experience
We all love game In the ’80s and ’90s, calling someone a “Gamer” insinuated that they had boundary issues and poor personal […]