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Low-Code AI Tools: 5 Key Benefits

Artificial intelligence (AI) has led to a seismic shift in the business landscape, largely due to the surge in popularity of large language models like ChatGPT. From predictive models that foster better decision-making to generative AI code tools that enable teams to build applications faster, AI offers incredible benefits to organizations. Businesses need to embrace this technology or risk falling behind their competitors.

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.

3 Steps to Assure Cloud Migration Success: A Detailed Assessment

Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on the cloud as the fundamental underlying platform. Every organization has a cloud strategy and vision with annual goals, yet the business risky cloud migrations have aged in backlogs or implemented with straying budgets & timelines. ‘Assurance’ is the most critical factor in business readiness, scoping, budgeting, and concluding the cloud migration.

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.

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.

Dataflow Programming with Apache Flink and Apache Kafka

Recently, I got my hands dirty working with Apache Flink®. The experience was a little overwhelming. I have spent years working with streaming technologies but Flink was new to me and the resources online were rarely what I needed. Thankfully, I had access to some of the best Flink experts in the business to provide me with first-class advice, but not everyone has access to an expert when they need one.

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.

Koyeb Metrics: Built-in Observability to Monitor Your Apps Performances

At Koyeb, we're working to build the most seamless way to deploy apps to production without worrying about infrastructure. But there's still plenty to keep you busy at the application layer with performance tuning and troubleshooting. That's why we're introducing Metrics — an easy way to monitor and troubleshoot application performance. Deploying on Koyeb makes thinking about infrastructure or orchestration unnecessary.

Not All Natural Language Query (NLQ) Models Are Created Equal: Part 3 - Power BI Q&A

In part one of this series, we discussed the evolution of Yellowfin’s Guided NLQ solution and focused on aspects of Guided NLQ that stand apart from the competition. In part two, we then compared Guided NLQ to Sisense's equivalent NLQ solution, Sisense Simply Ask. In part three, we will look deeper at another competitor’s NLQ offering, Microsoft Power BI and its Q&A feature.