Utilizing Generative AI Disruption

Which strategy has the greatest impact on the data quality in generative AI models?

Adopting a clear data acquisition, cleaning, and updating strategy

What are two examples of how generative AI can boost innovation in the material science industry?

Predicting the properties of a combination of materials Enabling faster innovation of new materials by modeling complex properties

Identify one reason why organizations need data governance policies, regulatory compliance, and ethical guidelines when developing and implementing AI applications.

Protecting user privacy and confidentiality

Identify two ways in which generative AI's ability to process large datasets and generate new outputs is revolutionizing business.

Reducing human error Automating complex tasks

Identify two ways in which generative AI is revolutionizing pharmaceutical research in the healthcare industry.

Shortening the research and development timeframe Engineering new molecules for potential new drugs

Identify two examples of how generative AI features can support the agriculture industry.

Supporting the engineering of disease-resistant crops Processing large historical yield datasets to aid farmers in decision-making

Which element of generative AI maintains the original dataset's structure and diversity, making it suitable for tasks like image generation where outputs resemble variations of the input data?

Variational autoencoders (VAEs)

Which approach would best demonstrate a strategy for adopting generative AI in an organization with respect to data handling?

Establishing a strategy for data acquisition, cleaning, and management

Which statement about generative adversarial networks (GANs), large language models (LLMs), and variational autoencoders (VAEs) is correct?

GANs consist of two neural networks, a generator and a discriminator

Say an AI algorithm is capable of automating its analysis of consumer metrics to create custom-made marketing strategies. Identify two ways in which this generative AI is revolutionizing business.

Generating innovative, tailor-made content Improving customers' experience

Generative AI technology is capable of processing vast amounts of data to produce new outputs, such as to simulate prototypes during R&D. Identify two ways that generative AI revolutionizes business.

Increasing organizations' productivity Enhancing customer experience

Which aspect of generative AI leverages natural language processing to understand context in vast text samples?

Large language models (LLMs)