Generative AI: What Is It and How Can It Be Used?

Before we dive further into the more practical side of Generative AI in B2B settings, it is important to establish the foundation of these articles: Generative AI technologies. In this article, we'll explore together what Generative AI is and its general uses.

Generative AI is a newer subset of artificial intelligence (AI) that leverages machine learning models to create new data similar to the data it has been trained on. Essentially, it "learns" from existing examples and then applies that learning to generate new content or predictions.

For instance, Large Language Models (LLMs) can be trained on extensive volumes of text data and generate coherent sentences that make sense in a given context. This is just one example of the potential of Generative AI.

The Hierarchy of Artificial Intelligence

To appreciate Generative AI fully, it’s helpful to understand its place within the broader AI hierarchy:

1. Artificial Intelligence: Any program that can sense, reason, act, and adapt.
2. Machine Learning (ML): Algorithms whose performance improves as they are exposed to more data over time.
3. Deep Learning (DL): A subset of machine learning that uses multilayered neural networks to mimic the human brain.
4. Generative AI: AI algorithms trained on large datasets to produce new, previously unseen data that looks like the training data.

Applications of Generative AI

Generative AI is versatile and can be used across various domains to enhance personal productivity, enable new technologies, boost team productivity, and serve as a powerful enterprise tool.

Personal Productivity

• Writing Assistance: Enhance emails or work documents such as Standard Operating Procedures (SOPs).
• Data Analysis: Analyze data efficiently to derive meaningful insights.
• Visualization Creation: Generate visualizations to better understand data.

Technology Enabler for New Applications

• Data Processing: Sift through large amounts of unstructured data to answer questions.
• Task Assistance: Use GPTs for specific tasks such as contract writing or creating Statements of Work (SOWs).

Team Productivity

• Brainstorming: Use AI as a sounding board and feedback buddy during brainstorming sessions.
• Writing Assistance: Utilize AI as a writing assistant for content creation.
• Content Supply Chain: Build, iterate, and create a quicker content supply chain for use in marketing.
• Persona Creation: Create personas based on previous Voice of Customer (VOC) data to answer questions for product roadmap development.

Enterprise Tools

• HR Onboarding Assistant: Streamline the onboarding process for new hires.
• Program Management: Use AI to build project summaries and manage programs.
• Contract Reviews: Review contracts and legal documents more efficiently.

Conclusion

Generative AI is transforming the way we interact with data and technology. Its ability to generate new, relevant data based on learned patterns opens up numerous possibilities for innovation and efficiency across various sectors.

In the next article, we'll see how the inherent capabilities of Generative AI play to the strengths of its users, empowering those in Enterprise Marketing teams.