Digital transformation is occurring at an accelerated pace following the advent of Generative AI, or artificial intelligence capable of rapidly generating new data and content from global data repositories. Systems like ChatGPT, Google’s BERT, DeepDream, and Midjourney, for instance, are impressively capable and popular technologies. All are highly efficient, leading to the critical question of how businesses can leverage Generative AI. Today, we present insights from Gartner regarding this technology.

Gartner categorizes the applications of Generative AI in enhancing business and environmental sustainability into three pillars: 1) Mitigate Risks, 2) Optimize Costs, and 3) Drive Growth. It is believed that if Generative AI is used correctly and efficiently, it will propel your business forward in the imminent Marketing 6.0 era.

1. Mitigate Risks 

• Comply with Regulations: Generative AI assists in interpreting and translating legal language to be more comprehensible. It helps identify laws, standards, regulations, and reporting requirements related to sustainability. It can read complex legal language and explain it in simpler terms, develop operational plans to achieve legal compliance, and create media for training employees on specific laws within an organization.
• Avoid Stranded Assets: Generative AI helps identify trends, laws, and enforcement that increase the risk of asset forfeiture for businesses, aiding in the avoidance of non-compliant assets.
• Develop Organizational Sustainability Policies: Generative AI can assist employees in identifying the best practices for sustainability policies, aid in developing frameworks, draft statements, guidelines, and operational procedures.
• Develop Sustainability KPIs: Generative AI aids in identifying business indicators for assessing progress in sustainability.

2. Optimize Costs  

• Support Decision Making: Generative AI can analyze in-business sustainability data, identifying patterns, trends, and areas for improvement, enabling employees to see possibilities, risks, and preliminary data in each decision-making instance regarding how it will affect business sustainability. It also helps predict potential future efficiencies, allowing businesses to plan and select the most appropriate methods for achieving sustainable goals.
• Improve Corporate Sustainability Communications: Generative AI can generate content for communication, such as website news releases, article content, and social media posts for campaigns. It can also develop frequently asked questions (FAQs) that businesses often encounter.
• Engage Supply Chain Partners: Generative AI develops criteria for evaluating producers, establishes ethical policies, suggests relationship-building strategies, and develops training content.
• Train Employees: It trains employees to understand and use Generative AI appropriately, using it to develop employee training media and foster sustainable business practices by providing basic information about work methods, business philosophies, answering employee questions, and supporting learning by suggesting answers and various courses.
• Embed Generative AI In Products To Make Them More Sustainable: Incorporating Generative AI into customers’ decision-making processes for purchasing products and services, such as generating automatic responses for inquiries about details or complaints.

3. Drive Growth 

• Discover Alternative Resources and Materials: Generative AI can provide preliminary recommendations about technological innovations that businesses can adapt to enhance efficiency.
• Support Sustainable Product Development: Generative AI assists in inventing new sustainable products and services, offering insights on feasibility, market research, patent information, trademarks or copyrights, competitive analysis, and pricing guidance.
• Leverage Generative Design For Buildings, Parts, and Products: Generative AI is used in designing buildings, components, and products, including providing recommendations on alternative design methods and analyzing strengths and weaknesses in designs.
• Accelerate Sustainability Innovation: Generative AI can innovate, assess opportunities, mitigate risks, and implement business practices.

Summary

It is evident that in the rapidly growing and highly competitive digital era, integrating Generative AI technology into an organization is of utmost importance. With the potential to create genuine value, it will help organizations grow sustainably and pave the way for agility in future organizational transformations.