Using Generative AI in Business

Generative AI is adding value to individuals both in their personal life and in their job, as well as to businesses in business processes and other use cases. There’s a bit of confusion though that has persisted in the generative AI “lore” that gets discussed regularly. It is easy to think of generative AI in business in the same light as the currently available public tools like OpenAI’s ChatGPT, Google Gemini, Perplexity, and Anthropic’s Claude. While those tools are definitely being used in a business setting, they are not the only way generative AI is showing up for enterprise use. The following chart shows the broader variety of ways businesses can use generative AI:

Personal Generative AI

Public generative AI tools like ChatGPT, Gemini, and Claude support a variety of possibilities for personal use. Here’s how you can leverage them for free and with pro subscriptions:

Free Features for Everyday Fun:

  • Content Brainstorming: Struggling for a blog post idea, a creative writing prompt, or even a catchy birthday message? Give the tool a starting point or theme, and watch them churn out fresh ideas to spark your creativity.

  • Crafting Drafts: Need a jumpstart on a report, email, or even a poem? Provide these tools with some background information and let them generate drafts to save you time and effort. Remember, they won't write masterpieces on their own, but they can be a great springboard for your thoughts.

  • Learning New Things: Curious about a particular topic? These genAI tools can act as virtual tutors, summarizing complex concepts or generating different perspectives on a subject.

  • Entertainment On-Demand: Bored on a long commute? Get them to tell you a story, compose a funny limerick, or even write a script for a role-playing game. 

Pro Power-Ups for Advanced Users:

  • Fine-Tuning Outputs: Pro versions often allow for more control over the AI's generation process. You can specify the tone, style, and length of the output, making it more tailored to your needs.

  • Code Generation and Review: Some pro features can generate code snippets or review your existing code, helping you write more efficient programs. (Always double-check generated code before using it!)

  • Data Analysis and Visualization: Advanced tools might assist with data analysis by generating reports or creating charts to help you understand complex datasets.

  • Commercial Use: Free plans often restrict commercial use of the generated content. Pro subscriptions might allow you to leverage the AI for creative projects you intend to sell.

Important Considerations:

  • Accuracy and Fact-Checking: Always fact-check the information generated by these tools, as they can sometimes produce inaccuracies.

  • Privacy and Security: Be mindful of the information you input, especially with free plans. Pro versions might offer enhanced security features.

  • Originality and Attribution: The generated content often reflects the data the AI was trained on. Be transparent about using AI-generated content, especially in academic settings.

By understanding these capabilities and limitations, you can leverage publicly available generative AI tools to enhance your creativity, productivity, and overall digital experience. Remember, these tools are best used as companions to amplify your own ingenuity, not as replacements for your critical thinking and judgment.

Personal Generative AI @work

Many people utilize generative AI tools for personal productivity even in a work environment, although you need to be mindful of company policies and data security. Here are some use cases:

Time Management and Organization:

  • Automating Emails: Craft templates for common responses with AI's help. Personalize them slightly for each recipient to avoid sounding robotic.

  • Meeting Agendas and Minutes: Use AI to generate summaries of past meetings or create basic agendas for upcoming ones, freeing you up to focus on content.

  • Task Prioritization: Feeling overwhelmed? Brainstorm potential tasks with the AI, then let it help you prioritize them based on urgency and importance.

Research and Learning:

  • Curating Information: Need to stay updated on industry trends? Give the AI a starting point like a news article or report, and have it summarize key points or suggest relevant resources.

  • Preparing for Presentations: Stuck for presentation ideas? Let the AI generate potential topics, talking points, or even creative visuals based on your presentation theme.

  • Learning New Skills: Want to brush up on a particular software or process? The AI can help you find relevant tutorials or training materials online.

Communication and Creativity:

  • Email Drafting and Editing: Draft emails faster with AI's help, but always proofread for tone and clarity before sending.

  • Brainstorming Meeting Ideas: Feeling uninspired for an upcoming brainstorming session? Spark ideas with the AI by providing a starting point related to your project goals.

  • Problem-Solving Tools: Stuck on a problem? Let the AI offer alternative perspectives or solutions based on the information you provide.

Remember:

  • Focus on Efficiency: Use AI to complete small, repetitive tasks to free up your time for more strategic work.

  • Maintain Ownership: Don't rely solely on AI-generated content. Edit, refine, and personalize everything for your specific needs.

By strategically using these tools, you can boost your personal productivity at work without disrupting your workflow or raising red flags.

Enterprise Generative AI Platform

AI and generative AI platforms are having a big impact on how companies operate across various industries. Their mix of no-code, low-code and pro-code development tools, as well as tools to connect to a variety of LMs, build proprietary LMs, test custom apps and models, provide methods to ground the LMs, and manage governance and compliance through various frameworks. AI and generative AI (GAI) are revolutionizing how companies build and utilize applications, with options for various technical skillsets. Here's how businesses can leverage no-code, low-code, and pro-code platforms infused with these powerful functionalities:

No-Code Platforms: Democratizing AI for Business Users

  • Simple Workflow Automation: Automate repetitive tasks like data entry, approval processes, and customer support inquiries using pre-built templates and drag-and-drop interfaces. No coding knowledge required!

  • Personalized Customer Interactions: Create basic chatbots powered by AI to answer frequently asked questions and route customers to the appropriate resources.

  • Data Visualization and Insights: Generate reports and dashboards with AI-powered data visualization tools, allowing non-technical users to glean insights from complex datasets.

Low-Code Platforms: Empowering Citizen Developers

  • Building Custom Applications: Citizen developers (business users with some technical knowledge) can leverage low-code platforms with pre-built components and AI features to build custom applications for specific departmental needs.

  • Integrating AI Services: These platforms often allow easy integration with pre-trained AI services for tasks like sentiment analysis, image recognition, or fraud detection.

  • Building Smarter Chatbots: Develop more sophisticated chatbots with low-code tools that can handle complex customer inquiries and integrate with other enterprise systems.

Pro-Code Platforms: Unleashing the Full Power of GenAI

  • Custom Generative Models: Data scientists and engineers can build and train custom GenAI models for specific tasks, such as generating product descriptions tailored to different customer segments or writing personalized marketing copy.

  • Advanced Data Integration: Pro-code platforms offer greater flexibility to integrate GAI functionalities with existing enterprise data pipelines and infrastructure.

  • Complex Automation and Decision Making: Develop AI-powered workflows for tasks requiring in-depth data analysis and decision-making, such as risk assessment or predictive maintenance.

Choosing the Right Platform:

  • Technical Expertise: Consider the skillsets of your workforce. No-code platforms are ideal for citizen developers, while pro-code options require programming expertise.

  • Project Complexity: For simpler tasks, no-code or low-code solutions might suffice. Complex AI projects requiring custom models benefit from pro-code platforms.

  • Scalability and Customization Needs: Pro-code platforms offer greater scalability and customization compared to no-code or low-code options.

Additional Considerations:

  • Security and Data Governance: Ensure the chosen platform offers robust security features and adheres to data privacy regulations.

  • Vendor Support: Reliable vendor support is crucial for troubleshooting and maximizing the platform's capabilities.

  • Integration with Existing Systems: Choose a platform that integrates seamlessly with your existing enterprise architecture.

By strategically utilizing AI and GenAI functionalities within no-code, low-code, and pro-code platforms, companies can empower employees across all technical levels, streamline workflows, personalize customer experiences, and unlock new avenues for innovation. Remember, the choice of platform depends on your specific needs and skillsets within the organization.

Embedded Enterprise Generative AI 

Generative AI (GenAI) embedded within enterprise applications unlocks a new level of innovation and efficiency. Here's how companies can leverage GenAI studios and embedded GenAI functionalities:

Supercharged Enterprise Applications:

  • Content Creation: CRM systems can utilize GenAI to generate personalized sales pitches and proposals based on customer data. Imagine a system that drafts customized emails or social media content tailored to each lead's needs and interests.

  • Data-Driven Decision Making: Embed GenAI into business intelligence dashboards to generate "what-if" scenarios and analyze vast datasets. This allows for faster and more insightful decision-making based on multiple possibilities. The ability to interact with data in a more natural and conversational way is very powerful.

  • Automated Report Generation: Financial and other operational reporting software can leverage GenAI to automatically generate reports with clear narratives and visualizations, saving time for teams and improving communication with stakeholders.

Generative AI Studios for Enterprise Needs:

  • Customizable Content for Different Audiences: Marketing teams can use GenAI enabled marketing apps to create targeted marketing campaigns with variations in language, style, and visuals for specific demographics or customer segments.

  • Product Development Acceleration: Imagine a GenAI app that helps brainstorm new product features, generate mockups, and even write initial user manuals. This streamlines the product development cycle and fosters creative exploration.

  • Personalized Training and Onboarding: HR departments can leverage GenAI in traininig apps to create personalized training modules and onboarding experiences for new hires. This can cater to individual learning styles and knowledge gaps.

Benefits and Considerations:

  • Increased Productivity: Automating routine tasks and generating content variations frees up employees to focus on higher-level thinking and strategic work.

  • Improved Customer Experience: Personalized content and interactions lead to higher customer satisfaction and brand loyalty.

  • Enhanced Innovation: GenAI in enterprise apps sparks creative exploration and accelerates product development cycles.

Remember:

  • Data Quality Matters: The accuracy and effectiveness of GenAI outputs heavily depend on the quality and relevance of the data used to train the models. Ensure clean and up-to-date data sets for optimal results.

  • Human Expertise Remains Crucial: GenAI is a powerful tool, but it shouldn't replace human judgment. Use GenAI outputs as a starting point, with human intervention for final decisions and creative direction.

  • Security and Bias Mitigation: Be mindful of potential security risks and biases within GenAI models. Implement proper safeguards and monitor outputs for fairness and accuracy.

By strategically embedding GenAI and utilizing generative AI studios, companies can transform their enterprise applications, boost efficiency, and unlock new avenues for growth and innovation.

Generative AI is transforming the way individuals and businesses operate, offering a wide array of possibilities for personal use, productivity at work, and enterprise-level innovation. From public tools like ChatGPT and Claude that support everyday tasks and creative endeavors, to AI and generative AI platforms that empower employees across all technical levels to streamline workflows and build custom applications, the potential of generative AI is big. By embedding generative AI within enterprise applications, companies can supercharge their existing systems, enabling personalized content creation, data-driven decision making, and accelerated product development. As businesses navigate this new landscape, it is crucial to consider factors such as data quality, human expertise, security, and bias mitigation to ensure the optimal and responsible use of generative AI. By strategically leveraging these powerful tools, individuals and organizations can unlock new avenues for growth, efficiency, productivity and innovation in an ever-evolving digital landscape.

Michael Fauscette

Michael is an experienced high-tech leader, board chairman, software industry analyst and podcast host. He is a thought leader and published author on emerging trends in business software, artificial intelligence (AI), generative AI, digital first and customer experience strategies and technology. As a senior market researcher and leader Michael has deep experience in business software market research, starting new tech businesses and go-to-market models in large and small software companies.

Currently Michael is the Founder, CEO and Chief Analyst at Arion Research, a global cloud advisory firm; and an advisor to G2, Board Chairman at LocatorX and board member and fractional chief strategy officer for SpotLogic. Formerly the chief research officer at G2, he was responsible for helping software and services buyers use the crowdsourced insights, data, and community in the G2 marketplace. Prior to joining G2, Mr. Fauscette led IDC’s worldwide enterprise software application research group for almost ten years. He also held executive roles with seven software vendors including Autodesk, Inc. and PeopleSoft, Inc. and five technology startups.

Follow me @ www.twitter.com/mfauscette

www.linkedin.com/mfauscette

https://arionresearch.com
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