Revolutionizing Work Productivity with Generative AI — Part 1
Prompt engineering and adapting generative AI for businesses
The evolution of AI and automation
AI and automation have come a long way since the early days of computer programming.
Today’s powerful algorithms and increased computing power have led to significant advancements in machine learning, natural language processing, and computer vision. These advancements have led to the development of generative AI, which can generate new, unique content that was previously impossible.
Generative AI already impacts several public domain areas, such as art, music, and literature. In art, generative AI can create new styles and break free from traditional forms. In music, generative AI can create new melodies and never heard harmonies. In literature, generative AI can generate new stories or even continue existing ones.
Generative AI in Enterprises
Enterprises are also taking advantage of the benefits of generative AI to become more efficient and productive.
By using generative AI, teams can focus on more complex or high-value tasks while the AI takes care of the repetitive or time-consuming tasks. For example, companies can use generative AI to create personalized marketing content for their customers, which can help increase engagement and drive sales.
In addition to marketing, generative AI can also improve software development. Developers can save time and focus on more complex tasks by automatically generating code for specific tasks. This can help speed up the development process and improve the overall quality of the software.
Overall, generative AI is a powerful tool that can help enterprises become more efficient and productive while producing high-quality content and software. We expect to see even more use cases and benefits as technology evolves.
The blog is organized around a timeline that shows what companies can do to achieve this at scale while working with enterprise data and workflows.
The blog uses a GPT3.5-based copilot app called “Ask Chatty McChatface” to provide examples of how to build enterprise-ready use cases.
There are several use cases for enterprises to use a general-purpose generative AI assistant to help employees be more productive, creative, and efficient in all aspects of their jobs.
Teams can use a combination of AI and automation to scale seamlessly while putting guardrails around privacy, governance, and ethics.
From sales and marketing teams to product and dev-ops, every team can tap into the future of generative AI combined with automation in their everyday workflow (Outlook, Teams, Word, Slack, Messenger, Dev-environment, etc.).
The prototype built includes enhancements for any enterprise to adopt this publicly available dataset-based technology to their customer’s private data. These include:
- Persona — The Co-pilot is based on GPT3.5 and is primed to provide factual responses as an assistant expert in SAP.
- Facts — The assistant is also recommended to provide references for the responses it generates.
- Prompts — Prompts are engineered and available for teams to start using immediately.
- Private Content — An enterprise knowledge base uses embedding to provide the same conversational and interaction experience on private datasets.
The co-pilot MVP is a single request-response app with a pre-built prompt dictionary categorized into four areas.
- Consultants and Partners — These prompts are for implementation partner companies or individuals and partners developing apps for a company. The prompts provide general Q&A information as well as specific implementation guide help. For example -
Perform competitor analysis in regions
These prompts offer numerous benefits, such as enhanced decision-making through data-driven insights and early issue identification, competitive advantage via market trend awareness and unique services, knowledge-sharing that promotes collaboration and aligns priorities, and increased customer satisfaction through rapid responses and streamlined decisions.
Industry and Emerging Trends -
Become an industry thought leader.
These prompts help people gather industry knowledge and stay current on emerging trends, a time-consuming process that involves reading hundreds of documents, listening to hours of podcasts, and watching dozens of videos.
Industry domain knowledge is often gathered on the job and can not be easily obtained. These prompts will help equip people with the necessary expertise quickly while summarizing, simplifying, and contextualizing the responses.
Prompts related to Industry & Emerging Trends can lead to:
- Improved understanding of client’s needs and industry trends, resulting in better business alignment and targeted services.
- Better decision-making through informed insights and data-driven decisions, leading to improved outcomes and risk reduction.
- Market positioning as an industry thought leader, enhancing credibility and reputation.
- Increased competitiveness in the market by offering unique and comprehensive services, leading to tremendous success and higher customer satisfaction.
Content Generation (Sales and Marketing)-
These are the commonly used generative AI prompts modified for enterprise scenarios. There are several benefits of using a dictionary of prompts for sales, presales, and customer-facing teams, including:
- Helping them with country-specific customs and cultural nuances
- Providing captivating, motivating, and inspiring messages to communicate better
- Helping craft the perfect SEO-friendly social media post
- Generating talk track, limbic opening as well as demo scripts on the fly
- Converting existing demo content by translating it and adding region flavors to make it more personal for customers
Prompts for content generation in sales and marketing can provide a range of metrics and benefits, including:
- Increased engagement through engaging and informative content that captures the attention of clients and prospects and creates personal and relatable connections with the audience.
- Improved lead generation through informative and compelling content and clear and persuasive calls-to-action that convert prospects into customers.
- Increased brand positioning as a thought leader in the industry through high-quality and informative content and content that aligns with the needs and interests of the target audience.
- Improved customer relationships through informative, engaging, and personalized content that demonstrates that the brand understands its needs and priorities and establishes the brand as a valuable and trusted partner within the industry.
Data and Code Generation
It is meant for anyone creating synthetic data for demo and testing purposes.
With access to data and code generation capabilities, everyone can be a data scientist, citizen developer, and an engineering super-human.
The example below illustrates how synthetic data can be created to tell a compelling story and how the dataset can be enhanced to provide a localized version. One can also perform exploratory data analysis using simple prompts instead of coding it in Python, an analytics tool, or Excel.
Potential benefits of Data & Code Generation prompts include:
- Enhanced skills: Developing technical skills like coding and data analysis can lead to better performance and innovation.
- Time and cost savings: Automation and templates can improve efficiency, reduce development time, and cut costs.
- Informed decision-making: Data analysis tools and automated processes can improve data quality, reduce errors, and support data-driven decisions.
- Collaboration boost: Sharing templates, code samples, or data sets encourages collaboration, aligns priorities, and increases customer satisfaction.
In part 2, we will see how in the near term, enterprises can build knowledge bases based on custom embeddings to provide the benefits of generative AI while providing citations and ensuring the responses are factual.
