AI-powered data engineering has the potential to completely transform business analytics, as demonstrated by Hari's career. For those who can fully utilize this technology, the future is bright.

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...

Data engineering teams already use Airflow for AI-related tasks like tracking the path to production, validating data lineage and ensuring trust in results. Now, the focus is on extending that ...

AI-driven automation is revolutionizing data engineering, enabling businesses to optimize, scale and enhance data ecosystems. Agentic mesh architecture can improve resilience and adaptability.

The company is a leading data engineering company helping innovative Artificial Intelligence companies by providing high-quality data. This data is crucial as it is used to “train” AI models.

What set it off is malicious prompt engineering, or when an AI, like Bing Chat, that uses text-based instructions — prompts — to accomplish tasks is tricked by malicious, adversarial prompts ...

The amount of text data fed into AI language models has been growing about 2.5 times per year, while computing has grown about 4 times per year, according to the Epoch study.

Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.

When an AI agent needs to answer questions or take actions, it can work with pre-processed, structured data rather than having to process raw documents from scratch.