Generative Data Intelligence

Tag: data lakes

Databricks claims its open source LLM outsmarts GPT-3.5

Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the...

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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources | Amazon Web Services

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL...

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources | Amazon Web Services

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL...

Taking a Page From Data Scientists for Better Security

As organizations add more cybersecurity solutions to their toolboxes, they also increase the amount of data they must oversee. These tools produce massive amounts...

Executing Zero Trust in the Cloud Takes Strategy

Zero trust is a high-level strategy that assumes that individuals, devices, and services attempting to access company resources, both externally and internally, can't automatically...

Executing Zero Trust in the Cloud Takes Strategy

Zero trust is a high-level strategy that assumes that individuals, devices, and services attempting to access company resources, both externally and internally, can't automatically...

Generating value from enterprise data: Best practices for Text2SQL and generative AI | Amazon Web Services

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation,...

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas | Amazon Web Services

This is a guest post co-written with Babu Srinivasan from MongoDB. As industries evolve in today’s fast-paced business landscape, the inability to have real-time...

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions | Amazon Web Services

This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal Özmen, Hasan Burak Yel, Fatma Nur Dumlupınar Keşir, Mutlu Polatcan and Emre...

How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch | Amazon Web Services

This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned...

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search | Amazon Web Services

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such...

Bitemporality, Helping Lower Costs for Financial Services Use Cases

I was at an “all things data and analytics benchmarking” event last week. It was fabulous, most major banks were represented, also the hottest...

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative...

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