Artificial Intelligence
AI Strategy
Forge a groundbreaking strategy that seamlessly integrates artificial intelligence and machine learning into the very fabric of your organisation. This strategic blueprint is designed to refine and reshape current processes, unlocking transformative pathways for innovation and securing your organisation a formidable competitive edge.
Prepare to innovate
Lay down visionary yet tangible objectives, aimed at catalysing a profound transformation across your business.
Establish a clear roadmap
Develop a strategy that outlines the integration of AI technologies, tailored to propel your business towards its strategic objectives.
Build a data-driven culture
Foster a culture that holds data in the highest regard – a pivotal asset for informed decision-making and relentless innovation.
Prioritise ethical AI use
Create a strong ethical foundation, ensuring your AI endeavours uphold principles of fairness, transparency, and accountability.
Measure and adapt
Deploy dynamic metrics to gauge the success and impact of your AI initiatives, guaranteeing they remain in lockstep with your evolving business objectives.
Having a well-defined AI strategy secures a competitive edge by integrating AI and ML into your organisation’s core, fosters a data-driven culture, ensures ethical AI use, and establishes a measurable, adaptable roadmap for transformative innovation and enhanced decision-making.
Machine Learning Operations
Gartner estimates that 53% of PoC’s fail to make it to production1, while research has shown that 85% of ML driven initiatives are failing to achieve meaningful business value2. This is because ML code is just one small piece of the puzzle. To build a production grade platform you need to consider:
Getting these key components built and implemented effectively and efficiently will transform how your organisation operationalises ML initiatives, increasing your probability of achieving meaningful business value, while significantly reducing the manual time your data science teams are investing into development and maintenance.
Generative AI
Generative AI doesn’t just create content or summarise information. It has the power to fundamentally transform how businesses approach data synthesis and risk assessment among other things. Our innovative solutions are designed to propel your operations into a new era of efficiency, safety, and innovation.
Synthetic data generation: Unlock the potential of Generative AI to create rich, diverse synthetic datasets that augments machine learning models without compromising privacy – getting your data scientists and machine learning engineers building faster than ever before.
Redefine risk management: Elevate your risk assessment capabilities with Generative AI that can predict and model complex risk scenarios. By simulating different outcomes based on historical and hypothetical data, businesses can foresee potential challenges, providing time to strategise proactive mitigations.
Drive innovation: Leverage the unique power of Generative AI to go beyond conventional boundaries, exploring new products, services, and processes that were previously unattainable.
Secure your competitive advantage: Capture the imagination of your audience and propel your business forward with offerings that redefine the expectations of what’s possible.
Generative AI can transform how your business works with data and manages risk, making operations more efficient and sparking innovation.
Responsible AI
Responsible AI isn’t just about creating ethical algorithms; it’s about shaping a future where technology enhances human welfare, promotes fairness, and safeguards our values. Our approach is grounded in the OECD AI Principles, ensuring that our AI solutions not only drive progress but also respect and uphold the highest ethical standards.
Responsible AI ensures technology serves everyone fairly, promoting well-being, transparency, security, and accountability, all while driving sustainable growth and upholding ethical standards.
Model Development
Effective model development exceeds traditional analytics, weaving together state-of-the-art algorithms and deep industry insights to solve complex business challenges and unlock predictive prowess that positions you at the forefront of your industry.
Be innovative: Leveraging cutting-edge models as building blocks of your next breakthrough.
Solution focused modelling: Build models that address the unique challenges and objectives of your business.
Advanced engineering: Get access to engineers that understand the complexities of data preprocessing, feature engineering, and hyperparameter tuning.
Iterative excellence: Embraces continuous feedback and analysis to refine and elevate model performance relentlessly.
Tackle complex challenges and enhance your predictive capabilities, keeping you ahead of the competition with innovative, tailored solutions.
Model Explainability
Model Explainability is designed to peel back the layers of complexity that cloak black box machine learning algorithms, providing clear, understandable insights into how models make their predictions and decisions.
Understand AI decisions: Transform the unknown into the understandable, making it possible for stakeholders at all levels to grasp how AI models reach their conclusions.
Empower with transparency: Empower your organisation to engage with AI not as a mysterious oracle, but as a transparent, reliable tool for strategic decision-making.
Informed decision-making: Make informed decisions, tailoring strategies and interventions with precision and foresight.
Accountability: Ensure that every AI-driven decision can be explained, justified, and aligned with organisational values and societal norms.
Regulatory compliance: Meet and exceed regulatory requirements, safeguarding your reputation and future-proofing your operations.
Model Explainability ensures your AI decisions are clear and trustworthy, helping you make informed choices, stay accountable, and meet regulations.
Decision Science
Transcend traditional decision-making, tapping into a profound understanding of rational behaviours and cognitive biases. Elevate your leadership into the science of choice, optimising outcomes through a lens of clarity and foresight.
Harness the power of your data: Leverage the vast ocean of data and analytics at your disposal to support strategic decision-making. Identify emerging trends and pinpoint opportunities to fine-tune and elevate performance.
Decode human complexity: Dive deep into the realm of behavioural psychology to gain a nuanced understanding of customer and employee behaviour patterns. Use these insights to craft strategies that resonate on a human level, driving engagement and loyalty.
Master the art of optimisation: Apply the precision of mathematical computations to streamline operations, maximise efficiency, and sculpt resources and processes into their most effective forms. Transform challenges into opportunities with the elegance of optimisation techniques.
Predict the pulse of tomorrow: Engineer advanced predictive models that serve as crystal balls, offering glimpses into future trends, behaviours, and outcomes. Equip your organisation with the foresight to anticipate change, making proactive decisions that keep you ahead of the curve.
Decision Science enhances decision-making with data, behavioural insights, and optimisation techniques, giving your organisation the foresight to anticipate trends and make strategic choices that drive performance and loyalty.
NEW Codex-exclusive white paper
Mastering MLOps: Fail Fast, Fix Faster, Flourish First
MLOps has emerged as the only solution to the challenges of bridging the gap between experimentation and production (or business value). But even with the best systems in place, challenges are inevitable.
Our MLOps white paper presents a framework of six guiding principles that are critical to ensuring a robust and enduring MLOps foundation.
Case Studies
Impactful Success Stories
APA Powers Up with Modern Data Platform, Guided by Codex
APA, a leading energy infrastructure player with a $25 billion portfolio, embarked on a mission to modernise its data estate. Leaving behind an on-premises SQL Server system, they turned to the cloud and Databricks for a scalable and future-proof platform. Partnering...
Bank Australia: Embarking on a Data-Driven Journey
As Australia's first customer-owned bank, Bank Australia prioritises ethical and sustainable practices. Recognising the power of data-driven decision-making to amplify their impact, they partnered with Codex for a purpose-driven data transformation. Codex's...
Aionic: Using Serverless & AI to Transform the Online Booking Space
The Problem Services businesses that rely solely on static pricing models and traditional above-the-line marketing tactics are unable to maximise the revenue from their fixed inventory. Unlike businesses selling products, services inventory is perishable over time.The...
Positively Impacting Industries
At Codex, we want to contribute to a healthier planet that fosters thriving communities for generations to come. We know that every choice we make as a business holds power, which is why we prioritise collaborating with value-aligned organisations in high-value industries.
We work with organisations that:
1 Focus on their community
2 Have sustainable development goals
3 Are dedicated to positive, long-lasting societal impacts
Talk to Us
We would love the opportunity to connect and understand more about the problems you are trying to solve.
Adrian Cambpell
AI & ML General Manager
Harish Kumar
Data General Manager
Get in touch to coordinate a meeting with one of our technical experts.
Australia: +61 7 3132 3002.