Скачать или смотреть TechNaija.FM Ep. 10 | Data Reliability Meets AI: Building Scalable, Intelligent Infrastructure

Keywords

data reliability, AI, data engineering, machine learning, data migration, startups, data models, technology, infrastructure, data systems


Summary

In this episode of TechNaijaFM, Babatunde Esanju and Godwin Okwara discuss the intersection of data reliability and AI. Godwin shares his journey in data engineering, emphasizing the importance of reliable data systems in building scalable infrastructures. They explore challenges in data migration, the role of machine learning, and provide insights for startups on ensuring data reliability. Godwin also offers advice for aspiring data engineers, highlighting essential skills and the significance of SQL in the field. The conversation concludes with reflections on the future of data in the age of AI.


Takeaways

Data reliability is crucial for any organization.
Understanding the core systems behind data is essential.
Machine learning systems rely heavily on data quality.
Startups should design scalable data models from the beginning.
SQL knowledge is fundamental for data engineers.
Data governance is vital in financial systems.
Design systems for easy data retrieval and availability.
AI cannot function without reliable data inputs.
Continuous monitoring and improvement of data systems are necessary.
Data will remain relevant as AI technologies evolve.


Titles

Building a Scalable Data Infrastructure
The Journey of a Data Engineer


Sound bites

"SQL is non-negotiable for data engineers."
"AI cannot generate its own data."
"Data will continue to be relevant in AI."


Chapters

00:00 Introduction to Data Reliability and AI
02:31 Godwin's Journey in Data Engineering
07:59 Understanding Data Reliability
10:27 Challenges in Data Migration
16:37 Machine Learning and Data Reliability
22:11 Building Scalable Systems for Startups
28:11 Data Storage and Management Strategies
29:36 Scaling Solutions for Global Markets
31:47 Pathway to Becoming a Data Engineer
37:50 Key Skills for Data Engineering
45:40 Ensuring Data Reliability and System Design
49:41 The Future of Data in AI