Generative AI

Take the lead with gen AI

Turn the hype into your competitive advantage

Struggling to deliver results with generative AI? You’re not alone.

 

Our on-demand webinar brings together a panel of industry experts to share how they’ve navigated the challenges of:

  • Identifying the right use cases: Prioritise projects with clear value propositions.

  • Building buy-in: Secure funding and internal support from stakeholders.

  • Going beyond prompts: Understand the importance of design, product, and engineering.

  • Determining ship readiness: How to manage user experience, cost and hallucinations.

  • Ensuring responsible implementation: Balance speed with safety and ethical considerations.

This event is designed for senior leaders tasked with implementing generative AI in their organisations so you can learn how to:

  • Move past the pilot stage: Deliver concrete business value with real-world applications.

  • Navigate risk and responsibility: Implement robust checks and guardrails for safe and secure operation.

Meet our panellists:

We want you to walk away with actionable insights and strategies to unlock the true potential of generative AI for your organisation.

On-Demand Webinar: Make the gen AI benefits outweigh the risks

About DiUS

DiUS is a technology consultancy that specialises in using emerging technology to solve difficult problems, get new ideas to market or disrupt traditional business models. With a cross-functional team of 150+ people across Australia and New Zealand, DiUS provides game-changing approaches to cloud enablement and product development— coupled with expertise in Internet of Things (IoT), big data, artificial intelligence and machine learning (ML)/ artificial intelligence (AI).

Our playbook for generative AI success

DiUS specialises in end-to-end generative AI solutions from ideation to deployment. This is thanks to our familiarity of the AI/ML lifecycle together with years of experience building PoCs and taking them to production.

  • Any generative AI journey starts with identifying the right data and making sure it’s structured correctly. From there, we can confidently select the right Large Language Model (LLM) based on your unique scenario.
  • We embrace experimentation to explore the potential and pitfalls of generative AI. While these experiments don’t always translate to production-ready solutions, they help pave the pathway to desirability, feasibility and viability.
  • At every step, we meticulously weigh the risks and rewards before proceeding. Through stronger governance, less error tolerance and fewer hallucinations, we can start tackling more complex tasks.
  • An MLOps approach to generative AI ensures that we can take your idea though the AI/ML lifecycle, from ideation and engineering to deployment and productionisation. This functionable, reliable and repeatable process allows us to build successful gen AI solutions.

Examples of how we've helped clients with gen AI

Image correction
Datarock is a machine learning-powered platform that helps geologistics with decision making throughout the exploration and mining process. DiUS used generative AI models to remove textures in images that could be confused with cracks, therefore improving model performance.
Retrieval Augmented Generation (RAG)
Powersensor wanted to minimise support calls from customers with questions about its energy monitoring solution. DiUS used the FLAN-T5 model on Amazon Sagemaker Jumpstart to build a Q&A conversational interface with RAG.
Attribute extraction
DiUS compared LLMs from OpenAI, GCP and AWS to extract brands and descriptions from product catalogues to help our client better categorise its inventory. We also trained models in Amazon Sagemaker to recognise relevant text in product names and descriptions, such as the type of product, units of measure etc.
Conversational interface
DiUS has been working with a retail discovery platform to reimagine how their customers can find the right products on their website through generative AI. Using a conversational interface, customers can ask for recommendations on products according to brand, price etc. and an LLM will provide the answer.
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Ready to get started on your gen AI journey?

Book in a complimentary discovery session to discuss how to get generative AI off the ground in your business

Get in touch with us to turn your gen AI ideas into reality

Want to know more about how DiUS can help you?

Get in touch

Offices

Melbourne
Level 3, 31 Queen St Melbourne, Victoria, 3000

Phone: 03 9008 5400

Sydney
The Commons

32 York St Sydney,

New South Wales, 2000

DiUS wishes to acknowledge the Traditional Custodians of the lands on which we work and gather at both our Melbourne and Sydney offices. We pay respect to Elders past, present and emerging and celebrate the diversity of Aboriginal peoples and their ongoing cultures and connections to the lands and waters of Australia.

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