Top 10 DeepSeek Use Cases to Explore

Posted on: February 19th 2025

Since its launch a few days back, DeepSeek has become one of the widely discussed AI platforms. It has seen over five million downloads on the Apple App Store and Google Play and has already captured 23% of the daily active users of its competitor, OpenAI’s ChatGPT.

Developed with a USD 5 million budget and backed by a Chinese hedge fund, DeepSeek utilizes open-source technology to offer an affordable alternative to entrenched  AI solutions from Europe and the U.S. It aims to simplify workflows, accelerate go-to-market strategies, and improve various operational processes.

Here are ten use cases of DeepSeek, including the challenges it might face:

1. Personalized Marketing

Potential: DeepSeek allows companies to customize marketing campaigns for customers by analyzing their digital footprints, such as browsing patterns, purchase history, and social media interactions. This personalization can help companies to have more effective marketing with higher engagement rates.

Challenges: The extensive data collection required for this level of personalization always raises privacy concerns. Any company collecting data must comply with regulations like GDPR and CCPA, and there’s always the risk of consumer resistance if data practices are seen as unethical or invasive. Moreover, the effectiveness of personalized marketing depends heavily on the accuracy and quality of the algorithms and data.

2. Healthcare

Potential: DeepSeek can assist medical professionals by processing a patient’s symptoms, medical history, and genetic data before a doctor sees the patient. This might streamline the diagnostic process, potentially saving time and improving patient outcomes.

Challenges: The integration of AI in healthcare raises ethical issues, particularly around data privacy and the risk of replacing human judgment with algorithmic decisions that may not always factor in the complexities of human health. There are also concerns about over-reliance on AI, which might overlook medical care’s personal and individual aspects.

3. Smart Homes

Potential: DeepSeek can transform homes into adaptive environments that predict user requirements by observing daily patterns. From setting the right room temperature to helping you prepare your morning coffee and everything in between, it aims to enhance daily life.

Challenges: While beneficial, AI technologies like DeepSeek require significant initial data input for personalization. Security concerns also exist; any data breach could compromise personal data or home security systems. Furthermore, not everyone might appreciate or need such automation, potentially leading to a disconnect between technology and personal preference.

4. Financial Advisory

Potential: Investing in financial markets is fraught with risks, but DeepSeek improves and helps with financial decision-making by offering insights into market trends, fraud detection, and investment advice.

Challenges: Countless variables influence financial markets, and AI can predict trends based on historical data but cannot foresee upcoming events or shifts in global economics. Over-reliance on AI for financial decisions without human oversight could lead to significant risks, including economic loss.

5. Customer Support

Potential: DeepSeek introduces AI chatbots for customer service to resolve queries with the speed of human interaction minus the wait times.

Challenges: While AI can enhance customer experience, there’s a limit to what it can and cannot do. Complex issues might still require human intervention, and when the human aspect is reduced, it might be challenging to retain client happiness.

6. Personalized Education

Potential: To make learning more efficient, DeepSeek personalizes educational experiences by determining strengths and weaknesses, suggesting study schedules, and offering immediate feedback.

Challenges: AI may not always adequately address all learning styles, potentially missing the human teaching element, like motivation or emotional support. It’s also essential to ensure that AI recommendations are not simply data-driven but practical.

7. Supply Chain Optimization

Potential: DeepSeek can make supply chain management more predictable by managing inventories, forecasting demand, and streamlining logistics.

Challenges: Supply chains can be thrown off guard by strikes, natural disasters, or quick changes in what people buy, making AI predictions less reliable. Also, fitting DeepSeek into the systems companies already use can be tough without causing disruptions.

8. Creative Industries

Potential: DeepSeek provides creative suggestions or automates parts of creative processes such as content writing, potentially enhancing productivity.

Challenges: There’s a delicate balance between using AI to augment creativity and potentially suppressing it. Overdependence on AI for creative purposes might lead to content that looks the same and undermine the unique human creative process.

9. Environmental Sustainability

Potential: DeepSeek can contribute to climate change mitigation efforts by monitoring environmental changes and suggesting ways to optimize energy use or adopt more environmentally friendly business practices.

Challenges: Accurate and thorough data are essential to these solutions’ efficacy. Whether or not companies will follow AI’s advice also arises because sustainability, in most cases, necessitates significant financial investments and operational adjustments.

10. Entertainment

Potential: Based on user interests, DeepSeek acts as a content curator, suggesting movies, music, or articles, making content discovery more efficient and personalized.

Challenges: This personalization might lead to a situation where users are only exposed to content that aligns with their existing preferences, potentially reducing their exposure to other genres of music, movies, or even reading.

DeepSeek’s Unique Strengths

Explainable AI (XAI): Unlike many less interpretable models, Deepseek emphasizes transparency in its AI processes. Its algorithms provide visibility into decisions, which is important in services like healthcare and finance, where accountability is essential.

Modularity and Adaptability: As Deepseek’s AI system is flexible, customers can modify and alter the models to meet their own needs. This method facilitates the creation and deployment of AI solutions more quickly.

Efficiency and Scalability: The Deepseek AI model consumes less computing power, lowering costs and fastening processing. The architecture is designed to scale, effectively managing large datasets and intricate tasks.

Focus on Specific Niches: Deepseek focuses on specific domains where its modularity, explainability, and efficiency can provide significant benefits. These areas include scientific research, code generation, and data analysis.

Openness and Collaboration: Deepseek promotes an open and collaborative environment, engaging with the AI community and contributing to open-source initiatives. This fosters innovation and supports the broader trend towards making AI more accessible.

Real-World Example of DeepSeek’s Use by Major Corporations

Here is an example of how major American firms are integrating DeepSeek into their products and services:

Amazon: Amazon has integrated DeepSeek R1 into its Bedrock and SageMaker AI platforms, allowing AWS customers to leverage this AI model for building applications with enhanced efficiency and lower costs.

Perplexity: Perplexity has incorporated DeepSeek’s R1 model into its AI-powered search engine, offering users an uncensored version hosted on U.S. and European servers. This enhances search capabilities with advanced reasoning.

Microsoft: Microsoft has made DeepSeek R1 available on Azure AI Foundry and GitHub, expanding its catalog of AI models. This integration supports enterprise customers in deploying AI solutions securely and efficiently, and Microsoft plans to offer a distilled version for local use on Copilot+ PCs.

Dell: In collaboration with Hugging Face, Dell has allowed DeepSeek to be utilized on its platforms.

IBM Watson: IBM has integrated the distilled variants of DeepSeek R1 into its watsonx.ai platform for model inference. When deployed on watsonx.ai, these models use dedicated instances, ensuring data is not shared outside the platform. Moreover, IBM’s watsonx.governance tool kit integrates governance, risk, and compliance (GRC) management, supporting responsible, transparent, and explainable AI practices throughout the AI lifecycle.

Limitations of DeepSeek

Quantity and quality of data can directly affect the performance due to dependency on data.

The requirement for data collection can lead to a discrepancy in privacy rights and cause privacy concerns.

Integration into existing systems might be complex and resource-intensive due to adaptability challenges.

It faces competition from established AI platforms and possibly lacks advanced features.

Ethical consideration raises issues about job automation/job losses, AI bias, and misuse.

Its scalability and long-term effectiveness across industries are still being explored due to limited real-world testing.

Conclusion

Although DeepSeek has several potential applications that might improve productivity and decision-making across several industries, the AI platform has drawbacks such as privacy concerns, reliance on data quality, and ethical challenges. Businesses considering the platform need to assess these aspects and its capabilities. Integrating AI requires a plan that balances technology’s capabilities, human oversight, ethical issues, and practical adaptability. Only with such a nuanced approach can the value of technologies like DeepSeek be fully appreciated, ensuring that they serve as aids rather than introduce new challenges in our increasingly data-driven world.

About the Author

Sanjeev Jain

Sanjeev Kumar Jain/Sanjeev Jain is an experienced technology writer. He brings a wealth of experience and knowledge to his writing through his keen interest in data, AI, and analytics. Sanjeev is an avid reader with a particular interest in business, aviation, politics, and emerging technologies.