10 Generative AI Cases

2. Generative AI USE CASES • Product Development and Management • ‍Generative AI is now crucial in coding apps, crafting product documentation, and enhancing user experience throughout the product lifecycle • Developers and product managers leverage generative AI tools to streamline various tasks. For example, developers may use these tools to brainstorm innovative code and designs. Meanwhile, product managers rely on generative AI to aggregate and summarize user feedback from diverse sources, aiding in product improvement. • Many enterprises have developed customer service and chatbot solutions based on OpenAI foundation models, showcasing the versatility and potential of generative AI in product development and management. • Some AI tools that are available for use are AI21 Labs, Stability AI, Viable Generative Analysis, and GPT-4.

3. Generative AI USE CASES • Writing Blog and Social Media Content • Generative AI tools offer the flexibility to modify existing content or generate entirely new pieces based on user prompts and contextual cues. Users can specify the desired tone of voice and input past brand content to ensure consistency and relevance. • However, it's essential to approach generated content with caution. While AI-generated content can mimic human writing, it may also contain inaccuracies or unsupported claims. Human oversight is crucial, especially for journalistic or fact-driven content. Writers, editors, and quality assurance analysts should meticulously fact-check AI outputs before publication to maintain credibility and accuracy. • Some available AI tools are HubSpot Content Assistant, Phrasee, Notion AI, and Jasper.

4. Generative AI USE CASES • Inbound and Outbound Marketing Communication • ‍Other than managing blog and social media content, marketing teams must also elevate their inbound and outbound marketing efforts. Traditionally, employees manually craft personalized emails and chats tailored to current and potential customers. However, generative AI solutions are revolutionizing this process by automating the creation and delivery of emails. • Generative AI goes beyond just sending emails; it can also access and qualify contacts for further engagement within the enterprise's customer relationship management (CRM) platform. • Examples of AI solutions enhancing enterprise project management capabilities include Salesforce Einstein GPT, HubSpot AI, and Twain.

5. Generative AI USE CASES • Customer Service Operations • For many companies, adopting AI in customer service is driven by evolving consumer expectations. According to McKinsey, approximately 67% of millennials now anticipate real-time customer service, while 75% of customers expect a consistent service experience across multiple channels. • Unilever, a company at the forefront of leveraging AI technology, utilizes the GPT API to develop AI tools to reduce food waste and automate product listings. Additionally, Unilever employs the API to create a platform that filters incoming emails to customer service, distinguishing between spam and legitimate inquiries. • Chatbots such as Forethought SupportGPT, UltimateGPT, Gridspace, and IBM Watsonx Assistant are being implemented in enterprises to improve customer experience.

6. Generative AI USE CASES • Medical Diagnostics and Pharmaceutical Drug Discovery • ‍Generative AI is gradually gaining traction in medicine and pharmaceuticals, promising transformative advancements. • In medical diagnostics, image generation and editing tools are increasingly utilized to enhance medical imaging, allowing professionals to scrutinize specific areas of the human body with greater clarity and realism. • Some tools even offer basic diagnostic capabilities, although medical professionals should verify the results for accuracy and quality assurance. • Generative AI technology is revolutionizing drug discovery and design processes on the pharmaceutical front, making them more efficient and effective.

7. Generative AI USE CASES • Business Performance Reporting and Data Analytics • ‍Generative AI is increasingly becoming a valuable tool for business intelligence and performance reporting due to its ability to quickly sift through vast amounts of text and data to extract key insights. • This technology is particularly effective for analyzing unstructured and qualitative data, which require extensive processing to derive meaningful insights. • Generative AI data analytics tools can either exist as standalone products or be integrated within established data analytics platforms such as Power BI. • By using generative AI, these platforms enhance traditional data analytics workflows by providing suggestions for improved visuals, clearer reports, and refined data interpretation.

8. Generative AI USE CASES • Smart Manufacturing and Predictive Maintenance • ‍Generative AI is revolutionizing the manufacturing industry, empowering enterprises to innovate and meet their production goals more efficiently. • In predictive maintenance, generative AI models play a crucial role in streamlining workflows by generating actionable to-do lists and timelines. These models identify areas for improvement and simplify the data collection process from various parts of the production line. • Also, generative AI facilitates inverse design, which analyzes deficiencies in manufacturing processes. Tools like Tulip Frontline Copilot, Clarifai, and C3 Generative AI Product Suite are adept at identifying missing materials and generating suitable replacements to fulfill production requirements.

9. Generative AI USE CASES • Fraud Detection and Risk Management • Generative AI is a valuable tool for enhancing fraud detection, underwriting, and risk management processes in the finance and insurance sectors. • In insurance, generative AI offers significant benefits for both insurers and customers. Underwriters and claims adjusters leverage generative AI tools to analyze past policies and claims, optimizing coverage and claim outcomes. • However, this solution has a downside. Bad actors may exploit generative AI tools to more effectively commit fraud and other crimes. Companies must invest in fraud and threat detection solutions to counter this risk.

10. Generative AI USE CASES • ‍Entertainment Media Generation • ‍Generative AI is poised to transform the entertainment media industry by delivering high-quality and realistic AI-generated images. Its applications span moviemaking, video games, virtual storytelling, VR experiences, and even podcast generation. • AI tools offer a convenient alternative to traditional content creation methods in the entertainment industry. Producers can leverage generative AI to streamline the production process rather than setting up cameras, editing footage, or recording audio. Experts predict generative AI will revolutionize film content creation, script writing, and video production soon. • Leading AI tools such as Stability AI’s Stable Diffusion, Plask, Charisma, and Latitude Unchained are already making waves in the industry.

11. Generative AI USE CASES • Graphic Design and Video Marketing • Generative AI video marketing tools are at the forefront of creating multilingual content using artificial intelligence. Although video avatars may require further refinement to replace human speakers convincingly, this advancement is particularly promising for global enterprises needing to convey messages in languages they may not speak. • Generative AI also significantly reduces the barriers to accessing costly technologies and products. For example, it can edit headshots and create compelling background imagery without needing professional photography services. Several emerging generative AI tools generate social media graphics or images based on user input, enhancing accessibility and creativity.