Very often people want to know the tool or chatbot used to generate a photograph or a painting. The underlying objective is that once the tool is known, they too could produce a similar work. Nevertheless, this is like asking a good chef, the cooking range he or she uses, or a photographer their preferred camera.
What we need to understand that describing a painting or a photograph to a Generative AI tool like DALL-E effectively requires a thoughtful combination of detail and creativity. The goal is to communicate your vision as clearly as possible to guide the AI in generating an image that aligns with your expectations. The description or the prompt could end up being a lengthy essay that includes everything from the golden rules of composition, to lighting, mood, setting, environment, colour schemes, etc. In other words, without human intervention, especially an expert or a subject matter expert from the domain, the AI model will simply be unable to create anything worthwhile.
And, when crafting your prompt, balance specificity with creativity. Too much detail can constrain the AI’s creative process, while too little might result in an image that doesn’t meet your expectations. It’s about finding the right mix of guidance and flexibility to inspire a result that closely aligns with your vision. We find that across industry sectors, human element continues to play a vital role in extracting the optimum outcome from Generative AI.
The Human Element Key to Harnessing GenAI in Insurance
The insurance industry stands to benefit greatly from generative AI (gen AI) technologies, according to Barbara Karuth-Zelle, COO and board member of German insurance giant Allianz. In a recent interview, published in McKinsey insight,Karuth-Zelle outlined three key strategies for insurance companies to leverage gen AI:
Karuth-Zelle emphasised that successful digital and AI transformations depend more on mindset, people and organisation than just the technology itself. A foundation of sharing, curiosity, creativity, agility, diversity and simplified products and processes allows innovation to be quickly scaled.
Some key data points reinforce Karuth-Zelle’s points:
As a leader driving Allianz’s tech transformation over the past decade, Karuth-Zelle has seen firsthand the importance of resilience, creativity, clear scope, diverse teams and speedy delivery. While the technology is powerful, she believes the human element is still the key ingredient for success. With the right strategies and leadership, insurance companies can harness AI to sustainably transform their operations for the future.
The convergence of Human Talent & AI
While artificial intelligence (AI) is transforming various industries by enhancing productivity and efficiency, the human element remains crucial in many sectors. Here are some instances from other industries where the combination of AI and human expertise is important:
Example: IBM Watson Health uses AI to analyse vast amounts of medical data, helping doctors make more informed decisions. However, the final treatment decisions are made by healthcare professionals who consider the patient’s unique needs and preferences.
Example: Duolingo, a language learning app, uses AI to adapt lessons to each user’s learning style and pace. However, the app also connects learners with human tutors for conversation practice and feedback.
Example: Zendesk, a customer service platform, uses AI to automate ticket routing and provide agents with relevant information. However, human agents handle the actual customer conversations and use their emotional intelligence to resolve issues.
Example: Adobe Sensei, an AI platform, helps designers automate tasks like image resising and colour matching. However, the creative direction and final design decisions are made by human designers who bring their unique perspectives and experiences to the project.
Example: HireVue, an AI-powered hiring platform, analyses candidate video interviews and provides insights to employers. However, the final hiring decisions are made by human HR professionals who consider the candidate’s fit with the company culture and team dynamics.
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In each of these industries, the combination of AI and human expertise leads to the best outcomes. AI enhances efficiency and provides valuable insights, while human judgment, creativity, and empathy ensure that the final products or services are tailored to the unique needs of each situation.
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