Generative AI Platforms in the Enterprise: Key Benefits, Use Cases and Trends

Generative AI is now a fixture of countless industries, from professional services to healthcare. According to the latest McKinsey Global Survey, GenAI usage has nearly doubled in just 10 months. 

Organizations of all sizes are automating manual, time-consuming tasks, generating new ideas and analyzing large volumes of data for greater efficiency, cost savings and innovation. Enterprises in particular are seeing a large adoption of GenAI across business functions. The technology has the ability to streamline operations, personalize customer experiences and rapidly prototype new concepts.

What Is a Generative AI Platform?

GenAI platforms are sophisticated software systems for generating content (like text, images or code) based on input data. They make use of AI technology, machine learning (ML) and natural language processing (NLP). ML is a type of AI allowing systems to learn from past experience and improve over time without being specifically programmed to do so. NLP is a type of ML for computers to understand human language. 

GenAI solutions are versatile, useful for a range of functions within enterprises from marketing to product development. A marketer may use GenAI platforms to personalize product recommendations for a segment of buyers. A product designer can generate countless design ideas for a rapid prototyping product using the same technology, accelerating research and development and improving time to market.

Key Benefits and Uses Cases of Generative AI Platforms for Enterprises

GenAI platforms drive value for enterprises through these top benefits and common use cases:

• Marketing and Branding Content Creation: Enterprises can tap into GenAI to automate, personalize and scale content creation based on specific input such as format, tone, voice, brand messaging, calls-to-action and more. Doing so allows enterprises to produce more content at scale without requiring extensive manual effort. 
• Enhanced Decision Support: GenAI solutions can analyze massive volumes of complex data to provide actionable insights. Enterprises can use this information to support data-driven decision-making across functions like product development, sales forecasting and productive development. 
• Innovation and Creativity: Enterprises can ignite innovation through GenAI platforms. Design teams can generate concepts for ad campaigns, and these concepts can be refined further to determine the final product.
• Cost and Time Efficiency: Teams can focus on more high-value initiatives by leaning on GenAI to handle repetitive tasks. One example of this can be found in AI personal assistants. These virtual assistants can take in customer service requests such as processing returns or checking order status. Customer service agents are then free to handle more complex requests.

The Evolution of Generative AI Platforms in Enterprise Settings

As GenAI solutions advance, several trends provide a look into the future of AI adoption in enterprise platforms, such as:

• Advances in AI Models: As the development of LLMs has advanced, GenAI platforms can now deliver more accurate, contextually-relevant content. Specifically, LLMs are designed with billions or even trillions of parameters, which allows them to process and parse massive volumes of data. They are also trained on domain-specific data and multilingual content. 
• Integration with Existing Systems: Modern GenAI platforms are more integrative than those of the past, allowing them to work within established enterprise software ecosystems. Specific advancements in this area include these platforms being built with APIs and compatibility with cloud services as well as modular architectures. 
• Customizable Solutions: Enterprises can tailor AI models on their own data to meet their specific goals. For example, organizations can include proprietary data, unique workflows and industry-specific language into the model, leading to outputs that are more contextually relevant to their enterprise. 
• Scalability and Flexibility: GenAI platforms can grow along enterprises. For example, cloud-based GenAI platforms offer a flexible, on-demand model that is suitable for smaller organizations. As organizations grow, they can scale up cloud resources to suit their objectives. Likewise, larger enterprises benefit from the scalability of GenAI platforms to handle massive workloads and volumes of data. 

What to Consider Before Adopting GenAI Platforms

GenAI platforms offer countless benefits for enterprises, but there are challenges and considerations to keep in mind. A common concern is data privacy and security. GenAI platforms often work with sensitive data. Your private company data might be used to train LLMs and can be shared with other users outside your organization, exposing your company’s IP. It’s critical to ensure any AI solution you use protects proprietary information and complies with any applicable regulations. 

There is also model bias to consider. AI-generated content can reflect bias and violate ethics. Organizations should carefully monitor outputs and incorporate diversity of data into inputs. Overcoming this challenge requires a plan for ethical oversight to ensure responsible AI content is generated. 

As organizations work more closely with GenAI platforms, enterprises will need to prepare their workforce. Protecting proprietary data and mitigating bias requires proper usage. Employees should have on-going training regarding ethical and efficient GenAI usage.

Future of Enterprise Gen AI Platforms: Innovation and Security

The integration of GenAI platforms into business functions is accompanied by a need for enterprise-grade security. Currently, enterprises have to choose between innovation and security. SUSE AI changes that with the launch of a trusted, extensible enterprise-grade AI platform. Your enterprise can build your own AI applications on top of the SUSE AI platform while ensuring your private data remains secure. 

Support efficiency and growth across business functions while ensuring accuracy and security with SUSE AI. Learn more about SUSE AI and explore our unique AI approach.