Generative AI, Data quality, MLOps, and more!

The transformative role of Generative AI in Data Engineering

Generative AI is revolutionizing the field of data engineering, offering remarkable opportunities to streamline processes, enhance data quality, and fuel innovation. From Large Language Models (LLMs) that are reshaping communication dynamics to OpenAI's Code Interpreter plugin which is bridging language and code for tasks like data extraction and analysis, it is a game-changer. Ready to harness the transformative power of Generative AI? Explore our blog to learn more!

Use NLP to analyze social media

Data Quality: A strategic imperative for modern enterprises?

As data volumes continue to grow exponentially, ensuring data quality has become a complex challenge for businesses across industries. Accurate, complete, and consistent data leads to increased agility, faster innovation, and reduced costs. In fact, organizations that prioritize data quality see a 25% increase in revenue. Read our PoV to learn about Sigmoid’s full-fledged data quality accelerator which derives diagnostic reports based on 6 dimensions to gain insights into the overall health of the data and flag any anomalies.

Seamlessly manage data quality across the end-to-end analytics lifecycle

90% improvement in ML Model run time using MLOps

Are you struggling to scale your pricing and promotion model across geographies? Watch this case study to learn how Sigmoid helped a leading multinational CPG manufacturer of health, hygiene, and nutrition products scale their ML-based pricing and promotion model. We used MLOps to bring scalability and enabled migration of the model across geographies that created a unified approach. It also reduced the model run time drastically while improving the prediction’s MAPE (Mean Absolute Percentage Error) by 20%.

Real-time marketing measurement and optimization for CPGs

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