Top 10 #Data & #AI Trends for 2024 🔮 read in the comments ⬇️

2023 was the year of GenAI. And 2024 is shaping up to be...another year of GenAI.
Here's what we see:

1. LLMs will transform the stack
Large Language Models (LLMs) continue to revolutionize technology and data usage.

2. Data teams will look like software teams
Data teams will increasingly function like software teams with structured product development approaches.

3. Software teams will become data practitioners
Integration of AI in software development necessitates a stronger focus on data.

4. RAG will be all the RAGe
Reliable and curated context data becomes crucial for AI augmentation.

5. Teams will operationalize enterprise-ready AI products
Emphasis on making AI products enterprise-ready.

6. Data observability will support AI and vector databases
Importance of data observability solutions for AI reliability.

7. Big data will get small
Shift towards in-process and in-memory databases for efficient data handling.

8. Right-sizing will take priority
Strategies for managing escalating cloud infrastructure costs.

9. Apache Iceberg will rise
Adoption of Apache Iceberg for efficient large-scale data processing.

10. And [someone] will return to office
Trend towards enforcing office return policies.

source: MonteCarlo data

[nataindata]

2023 was the year of GenAI. And 2024 is shaping up to be...another year of GenAI.
Here's what we see:

1. LLMs will transform the stack
Large Language Models (LLMs) continue to revolutionize technology and data usage.

2. Data teams will look like software teams
Data teams will increasingly function like software teams with structured product development approaches.

3. Software teams will become data practitioners
Integration of AI in software development necessitates a stronger focus on data.

4. RAG will be all the RAGe
Reliable and curated context data becomes crucial for AI augmentation.

5. Teams will operationalize enterprise-ready AI products
Emphasis on making AI products enterprise-ready.

6. Data observability will support AI and vector databases
Importance of data observability solutions for AI reliability.

7. Big data will get small
Shift towards in-process and in-memory databases for efficient data handling.

8. Right-sizing will take priority
Strategies for managing escalating cloud infrastructure costs.

9. Apache Iceberg will rise
Adoption of Apache Iceberg for efficient large-scale data processing.

10. And [someone] will return to office
Trend towards enforcing office return policies.

source: MonteCarlo data