Complimentary two-hour AI/ML workshop
We’ll help you get started with AI/ML or review and recommend strategies to improve an existing AI or ML-powered solution.
With access to the right expertise, we can help you achieve your desired business outcomes.
Generative AI has put AI at the forefront of everyone’s minds, it’s made getting started with AI easier, and from our commercial experience, we’re having more conversations about AI than ever before. Yet, it can still be difficult to know where to start and how to get started with AI and ML.
Our specialist AI/ML Practice can help you leverage the latest advancements in AI and ML, both internally and externally, to improve operational efficiency or build new customer experiences through personalisation and AI/ML-powered solutions.
DiUS was the first partner to obtain the AWS Machine Learning Competency in Australia and New Zealand and the AWS Applied AI Competency in Asia Pacific and Japan. We’re also the first partner to obtain both the AWS Machine Learning Competency and AWS IoT Competency in Australia and New Zealand.
Complete the form below and we'll be in touch to book in your complimentary two-hour AI/ML workshop.
Offer details
Benefits
- Practical recommendations to improve AI/ML performance, quality and reliability.
- Expertise across the AI/ML product lifecycle and solutions from MLaaS and AutoML to custom state-of-the-art models.
- Holistic approach that considers data-centric and model improvements.
Client stories
We’ve helped our clients at every stage of the ML journey, from building PoCs to productionising pipelines and improving model accuracy.
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).
