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Analytics

Fine-Tuning a Foundation Model for Multiple Tasks

In this video we discuss the reasons why fine-tuning is needed to create mroe contextual accurate LLMs, and the methods that you can do to accomplish this. We also give a demo of our newest Applied ML Prototype (AMP) which demonstrates how to implement LLM fine-tuning jobs that make use of the QLoRA and Accelerate implementations available in the PEFT open-source library from Huggingface and an example application that swaps the fine-tuned adapters in real time for inference targetting different tasks. Learn more at cloudera.com#ai #ml.

Building Airtight Data Security Architecture in Growing Businesses

In the second installment of Mavericks of Data, we have an engaging discussion with Mahesh Krishnan, CTO of Fujitsu Australia and innovator, thought leader, author, speaker, and passionate technologist who has over 30 years of experience in the IT sector. Mahesh talks about his role within Fujitsu, the recent developments and key considerations in data security, setting up data security within growing businesses and the challenges revolving around data sensitivity.

FinOps Camp Episode 3: Considerations for Mapping your FinOps Adventure

FinOps Camp Episode 3: Considerations for Mapping your FinOps Adventure Program elements, use cases, and principles to manage cloud data costs Join SanjMo Principal and Founder Sanjeev Mohan and Unravel VP of Solutions Engineering Chris Santiago as we share considerations for mapping your FinOps Adventure.Creating a solid FinOps strategy is crucial to navigating the rapidly-evolving world of cloud services.

MLOps Live #24: How to Build an Automated AI ChatBot

In this MLOps Live session, Gennaro, Head of Artificial Intelligence and Machine Learning at Sense, describe how he and his team built and perfected the Sense chatbot, what their ML pipeline looks like behind the scenes, and how they have overcome complex challenges such as building a complex natural language processing ( NLP) serving pipeline with custom model ensembles, tracking question-to-question context, and enabling candidate matching.

Revolutionize Your Data Experience With Cloudera on Private Cloud

In the age of the AI revolution, where chatbots, generative AI, and large language models (LLMs) are taking the business world by storm, enterprises are fast realizing the need for strong data control and privacy to protect their confidential and commercially sensitive data, while still providing access to this data for context-specific AI insights.

Marketing Success in the Age of AI Requires a Modern Marketing Data Stack

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.

Mode + ThoughtSpot recognized as Leaders in Snowflake's 2023 Modern Marketing Data Stack awards

We’re thrilled to announce that both ThoughtSpot and Mode (acquired by ThoughtSpot in July 2023) have been recognized as Leaders in Snowflake's recent Modern Marketing Data Stack report! Given the ever-evolving landscape of modern data analytics products, organizations are looking to ThoughtSpot and Mode when seeking innovative solutions—helping them harness the power of their marketing data.

Snowflake's Annual Modern Marketing Data Stack Report: Talend Being Named a "Leader in Integration and Modeling" is Just the Beginning

With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good information around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.