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Key Considerations to unlock the power of GenAI

 By Himanshumali

Artificial intelligence is undergoing an unprecedented evolution, and generative AI (GenAI) stands at the forefront of this revolution. GenAI boasts a wide range of capabilities, extending from text generation to the creation of music and art. What sets GenAI apart is its remarkable ability to deeply comprehend context, resulting in outputs that closely resemble those produced by humans. It’s more than just interacting with intelligent chatbots; GenAI has the potential to reshape industries, offering enhanced user experiences and unlocking novel possibilities.

 

Over time, we will observe the rise of applications harnessing the capabilities of GenAI behind the scenes, providing functionalities that were previously unprecedented. Unlike widely known chatbots such as ChatGPT, users may not explicitly recognize the involvement of GenAI in the background. However, these emerging applications are blending information retrieval and text generation to furnish genuinely personalized and contextually relevant user experiences in real-time.

 

Today, India is poised to become one of the world’s largest markets for AI, creating an opportunity for AI applications to drive growth and productivity. Investments in consumer technology, advanced supply chains, and intelligent automation platforms can propel an AI-first approach, allowing India to leapfrog legacy infrastructure. Companies throughout India, particularly startups and small to medium-sized enterprises (SMEs), are increasingly adopting an AI-centric strategy in their digital initiatives. They are exploring ways to enhance customer experience, boost efficiency, and enhance agility in delivering digital capabilities by incorporating new foundational models and other elements of the evolving AI framework.

 

With heightened investments in 2024, the GenAI market in the country is poised for significant growth in the coming years. According to a report by NASSCOM, 71 per cent of enterprises spent over 20 per cent of their tech spend on digital last year. Moreover, nearly 90 per cent of firms plan to boost investments in key digital technology areas this year, including AI/machine learning (AI/ML), big data analytics, cloud computing, cybersecurity, and intelligent automation etc.

 

There is optimism for GenAI, but the key to differentiation is blending your data with Generative AI, powered by foundation models and LLMs. Organizations must carefully select a database that aligns with modern technology and empowers operational efficiency and competitiveness. For those seeking to maximize the potential of GenAI-powered applications, four essential considerations should be contemplated when selecting a suitable database.:

 

  • Queryability: The database should support sophisticated queries and secondary indexes to enable real-time, context-aware user experiences. This ensures quick data retrieval in milliseconds, irrespective of query complexity or database size.

 

  • Flexible Data Model: GenAI applications often require diverse data types and formats, known as multimodal Databases should feature a flexible data model allowing easy inclusion of new data without necessitating schema changes, code adjustments, or version updates. Relational databases, designed for structured data, may face challenges with multi-modal data due to their strict schema rules.

 

  • Integrated Vector Search: GenAI applications may need to conduct semantic or similarity queries on varied data types like free-form text, audio, or images. Vector embeddings in a database facilitate semantic queries by capturing contextual information and meaning, suitable for tasks such as text classification and sentiment analysis. Databases should offer integrated vector search indexing to simplify synchronization and ensure a unified query language for developers.

 

  • Scalability: As GenAI applications expand in user base and data volume, databases must dynamically scale out to handle growing data volumes and request rates. Native support for scale-out sharding ensures that database limitations do not impede business growth.

 

As GenAI continues to evolve, organizations must prioritize ethical considerations and responsible AI practices. It’s crucial to establish transparency and accountability frameworks to address potential biases and ensure fair and ethical outcomes. Additionally, investing in robust security measures is imperative to protect sensitive data and mitigate cybersecurity risks associated with AI applications.

 

Furthermore, collaboration and knowledge-sharing within India’s GenAI ecosystem are essential for fostering innovation and driving collective growth. By leveraging partnerships and participating in industry forums, organizations can stay abreast of emerging trends, exchange best practices, and collectively address common challenges.

 

presents a transformative opportunity for industries in India, promising accurate, context-aware, and dynamic user experiences. With the right database solution, organizations can unlock agility, productivity, and growth, gaining a competitive edge in India’s rapidly evolving landscape of generative AI. In conclusion, by embracing the principles of ethical AI, investing in security measures, and fostering collaboration, GenAI holds immense promise for transforming industries and revolutionizing user experiences in India and beyond, driving innovation, competitiveness, and sustainable growth.

 

(The author is Himanshumali, principal solutions architect India, MongoDB, and the views expressed in this article are his own)