How Australian Businesses Can Grow with AI FAQ

Introduction

Australian businesses are increasingly recognizing the potential of generative AI (gen AI) to transform their operations. However, many organizations are unsure of where to begin and what questions to ask before diving into AI implementation. This article aims to provide guidance and address the key considerations for businesses looking to leverage AI technology.

The Employee View

According to a recent survey, 56% of workers believe that gen AI will transform their roles, while 65% believe it will allow them to focus on more strategic work. Workers also anticipate that gen AI will save them five hours per week.

The Executive Summary

Gen AI has the potential to add up to $4.4 trillion to the global economy annually. The majority of this value, 75%, is concentrated in four functions: customer operations, marketing and sales, software engineering, and R&D. Additionally, the adoption of gen AI and other automation technologies could contribute up to 3.3 percentage points annually to productivity growth. However, it is crucial for companies to provide support and training to employees throughout the implementation process.

Everything you need to know about AI

Our AI Hub at https://saasrevu.com offers a wealth of content to help businesses better understand AI. From glossaries and customer stories to use cases and how-to guides, businesses can find all the information they need to navigate the world of AI.

Your Next Move

To ensure a successful AI implementation, businesses should consider the following steps:

1. Ensure AI technology compliance: It is important to make sure that the AI technology being used meets company guidelines and industry regulations.

2. Develop a strategic plan: Businesses should develop a strategic plan that outlines specific use cases for AI implementation.

3. Ask the right questions: Before diving into AI, businesses should ask themselves important questions about their data, trust, organizational structure, and skills.

How Good Is Our Data?

Accurate and up-to-date data is crucial for the successful implementation of generative AI. Before training AI models, businesses should ensure data excellence by removing duplicates, outliers, and errors that may negatively impact decision-making. Furthermore, connecting data sources such as marketing, sales, service, and commerce into a single, real-time record will enable AI to make the best recommendations. Outdated or incorrect data can lead to inaccurate AI predictions.

How Do We Establish Trust?

Trust is a key factor in the widespread adoption of generative AI. Businesses must prioritize customer data protection and ethical AI use. When selecting an AI technology partner, it is important to ensure that they have built-in safeguards and privacy features. Large language models (LLMs) used in AI algorithms contain vast amounts of data and lack proper controls. Implementing data privacy safeguards, such as data masking and toxicity detection, boost the chances of AI success.

Do We Need to Reorganize Our Company Around AI?

Research suggests that companies need to align their culture, structure, and ways of working to support and scale AI initiatives. Establishing cross-functional AI task forces and AI governance committees can help guide development teams, set standards for explainability, and ensure employee adoption. For example, Schneider Electric has implemented a global hub-and-spoke AI operating model, with each business function having an AI product owner and change agent working closely with the tech competency center.

Do We Have the Right Skills?

The rapid evolution of AI technology means that most companies do not currently possess the necessary skills for AI implementation. Assessing current capabilities and identifying skill gaps is essential. Businesses should prioritize building AI skills and consider developing a hiring plan to acquire talent. Providing access to on-demand learning, incentivizing skills acquisition, and upskilling employees should be part of the overall strategy. Reskilling and learning about new AI capabilities should be a collective effort.

What Gen AI Terms Do I Need to Know to Carry on a Conversation?

Business leaders do not need to be technical experts to understand generative AI. However, they should have a holistic understanding of AI, including its benefits, risks, and how it aligns with the company’s culture and mission. Being able to engage with technical teams is crucial for successful AI implementation. Familiarizing yourself with essential AI terms will enable effective communication and collaboration. Each term should be defined based on its impact on customers and the team, emphasizing the power of AI.

In conclusion, gen AI presents significant opportunities for Australian businesses to drive growth and enhance productivity. However, careful consideration of data quality, trust, organizational alignment, and skills development is necessary for successful AI implementation. By asking the right questions and taking strategic steps, businesses can harness the full potential of AI to transform their operations and deliver value to their customers.