INFORM unveils five steps for AI success: Australia a leader

INFORM announces Australia as a global Artificial Intelligence (AI) adoption and implementation leader and unveils five steps for AI success. 

With over five decades of expertise in AI, INFORM provides services to Australian brands, including Qantas, Hanson, and ING.

Dr Paul Flachskampf, Chief Executive Officer at INFORM Australia, states: "Australia has emerged as a global leader in AI adoption due to its commitment to innovation and willingness to embrace transformative technologies."

"The country has made significant strides in leveraging AI across various industries, including transportation, manufacturing, and finance, revolutionising processes and driving operational efficiency," says Dr Flachskampf.

However, Dr Flachskampf emphasises that organisations must take a strategic approach to AI adoption or risk being left behind.

Dr Flachskampf continues: "Organisations must define clear objectives and develop a robust infrastructure that can support the demands of AI systems. Additionally, fostering cross-functional collaboration and prioritising ethical considerations are essential for successful AI automation." 

"Over the past 50 years, INFORM has evolved alongside the development of AI technologies." 

"Our unique approach to integrating Operations Research, Business Intelligence, and AI has allowed us to deliver innovative solutions that drive and empower businesses to excel in a rapidly evolving landscape." 

"Our Hybrid AI approach combines the power of human expertise with machine intelligence, enabling organisations to achieve superior results," says Dr Flachskampf. 

For organisations yet to implement AI automation solutions, Dr Flachskampf has outlined five steps to lay the foundations for AI automation success:

1. Define clear objectives: Determine specific tasks or processes organisations want to automate and identify the goals it hopes to achieve. Dr Flachskampf says whether improving efficiency, reducing costs, or enhancing customer experience, having well-defined objectives will guide AI automation strategy.
2. Gather quality data: Gather data from various sources, ensuring it's accurate, reliable, and representative of the problem organisations aim to solve. Invest in data cleansing and enrichment processes to eliminate inconsistencies or biases that could impact AI performance.
3. Implement robust infrastructure: Evaluate IT infrastructure and determine upgrades or enhancements to handle AI systems. This may include cloud computing resources, powerful hardware, and efficient data storage solutions. 
4. Foster cross-functional collaboration: Encourage collaboration between data scientists, engineers, domain experts, and business stakeholders. By fostering an environment where expertise from multiple disciplines is combined, organisations can ensure that AI automation projects align with business objectives and effectively address operational challenges. Dr Flachskampf says cross-functional collaboration helps identify potential automation opportunities and ensures a well-rounded implementation.
5. Prioritise ethics: Establish clear guidelines and principles to ensure organisations' automation processes are transparent, fair, and accountable. Pay close attention to data privacy, security, and bias mitigation. Regularly assess AI systems and address issues.

INFORM specialises in Digital Decision Making enabled by Artificial Intelligence (AI) to optimise business operations regarding efficiency, reliability, and agility. 

With 900 business analysts, data scientists, and software engineers, INFORM supports over 1,000 client companies globally with turn-key solutions and long-term support.

Leveraging the combination of computer algorithms with human expertise, INFORM's Hybrid AI technology integrates Operations Research and Artificial Intelligence, including Fuzzy Logic and Machine Learning.