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Making AI Work in Legal Tech: Balancing Cost and Performance

Invid Group

The willingness to explore new tools like large language models (LLM), machine learning (ML) models, and natural language processing (NLP) is opening unthinkable possibilities to improve processes, reduce operational costs, or simply innovate [2].

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning - AI

We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. The solution uses Amazon SageMaker JumpStart as the core service for model deployment, fine-tuning, and reinforcement learning. For this post, we performed supervised fine-tuning on the Mistral-7B model.

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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363
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Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111
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Better, faster decisions: Why businesses thrive on real-time data

CIO

Real-time data provides the most current intelligence to manage the fleet and delivery, for example. Strategically, with meaningful real-time data, systemic issues are easier to identify, portfolio decisions faster to make, and performance easier to evaluate. Business Intelligence

Data 303
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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

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Navigating the Data Lake: Insights from Building and Utilizing Data Lakes

InnovationM

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Spark supports various data operations, including batch and real-time processing, machine learning, and graph analytics.

Data 52