What skills does a company need to take advantage of AI
AI has emerged as a result of advances in machine learning, natural language processing, and other technologies, with the potential to disrupt a wide range of enterprises and fields. Many people in the tech industry and beyond are excited about the release of OpenAI and the company's chatGPT AI language model and Dall-E image generator. So, what steps do you need to do to get started?
To capitalise on AI, a company must have a diverse set of skills and knowledge in areas such as data management, AI algorithms, software development, business strategy, and ethics.
An example of “ChatGPT by OpenAI in action.
It took about 4 seconds for the AI to come up with this sonnet comparing Steve Jobs and Leonardo da Vinci.
AI skills and considerations
In order to take advantage of AI, a company needs a range of skills and expertise, including the following:
Data management and analytics: AI relies on data to train and improve its algorithms, so a company needs to have the ability to collect, store, and analyze large amounts of data. This requires expertise in data management, data governance, and data analytics.
Machine learning and AI algorithms: AI algorithms are the core technology that powers AI, so a company needs to have expertise in developing and implementing these algorithms. This requires knowledge of machine learning, deep learning, and other AI technologies.
Software development and engineering: AI systems are typically implemented using software, so a company needs to have expertise in software development and engineering to build and maintain these systems. This requires knowledge of programming languages, software architecture, and software development best practices.
Business strategy and innovation: AI has the potential to bring about significant changes to business operations and models, so a company needs to have expertise in business strategy and innovation to identify and capitalize on these opportunities. This requires knowledge of business trends, market dynamics, and innovation management.
Ethics and governance: AI has the potential to raise ethical and governance issues, so a company needs to have expertise in these areas to ensure that its AI systems are used responsibly and in accordance with ethical and legal standards. This requires knowledge of AI ethics, privacy, and regulation.
DALL-E by OpenAI generating a concept artwork of an African interpretation of Aboriginal culture
Planning for your AI strategy
Identifying the business objectives and priorities, developing a clear and actionable vision, acquiring the necessary capabilities, establishing governance and compliance, building a team and centre of excellence, up - skilling the workforce, and engaging with stakeholders are all part of the process of defining and implementing a company's data, analytics, and AI strategy. Please contact us to discuss potential uses in your industry.
