CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. While Felix AI already enables businesses to process data at scale and act on insights faster, the potential for further automation and optimization is vast.

Analytics 128

Analytics Metrics Optimization Interactive 128

Smart Data Collective

NOVEMBER 7, 2023

If you’re eager to monetize the web hosting services you offer to third party site owners, or you have a selection of self-hosted sites which you are eager to wring more cash out of, then machine learning could be the answer. This is where machine learning from top developers comes into play.

Data Processing 124

Data Processing Machine Learning Measurement Optimization 124

KDnuggets

SEPTEMBER 20, 2022

When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results.

Metrics 160

Metrics Measurement Optimization Modeling 160

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. data platform, metrics, ML/AI research, and applied ML).

Management 364

Management Experimentation B2B Machine Learning 364

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 304

Testing Machine Learning Consulting Data Science 304

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Modeling 256

Modeling Machine Learning Testing Metrics 256

Smart Data Collective

APRIL 1, 2020

Tracking the right metrics is an important part of running a successful business. When your company is offering software as a service, the need for tracking certain metrics becomes dire, and in this post, we are talking about those metrics. Here you will read about four metrics that are super crucial for your SaaS business.

Big Data 122

Big Data Metrics Machine Learning Optimization 122

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

Visualization 145

Visualization Optimization Analytics Testing 145

Cloudera

NOVEMBER 17, 2021

We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 124

Machine Learning Visualization Data Science Dashboards 124

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products.

IoT 109

IoT Machine Learning Metadata Data-driven 109

AWS Big Data

DECEMBER 5, 2024

This type of structure is foundational at REA for building microservices and timely data processing for real-time and batch use cases like time-sensitive outbound messaging, personalization, and machine learning (ML). These metrics help us determine the attributes of the cluster usage effectively.

Metrics 97

Metrics Dashboards Testing Optimization 97

CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London) Regions.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

O'Reilly on Data

NOVEMBER 19, 2024

While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. decomposes a complex task into a graph of subtasks, then uses LLMs to answer the subtasks while optimizing for costs across the graph.

Unstructured Data 326

Unstructured Data Structured Data Statistics Modeling 326

O'Reilly on Data

MARCH 25, 2025

People have been building data products and machine learning products for the past couple of decades. Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? Slow response/high cost : Optimize model usage or retrieval efficiency.

Testing 184

Testing Data-driven Software Measurement 184

Rocket-Powered Data Science

DECEMBER 15, 2018

This wisdom applies not only to life but to machine learning also. Specifically, the availability and application of labeled data (things past) for the labeling of previously unseen data (things future) is fundamental to supervised machine learning. A related problem also arises in unsupervised machine learning.

Machine Learning 171

Machine Learning Optimization Metrics Deep Learning 171

AWS Big Data

NOVEMBER 21, 2024

Amazon EMR is a cloud big data platform for petabyte-scale data processing, interactive analysis, streaming, and machine learning (ML) using open source frameworks such as Apache Spark , Presto and Trino , and Apache Flink. The following screenshot shows an example of these metrics.

Metrics 83

Metrics Machine Learning Strategy Big Data 83

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. For example, AWS Glue 4.0

Optimization 120

Optimization Metrics Interactive Data Integration 120

AWS Big Data

AUGUST 21, 2024

To address this requirement, Redshift Serverless launched the artificial intelligence (AI)-driven scaling and optimization feature, which scales the compute not only based on the queuing, but also factoring data volume and query complexity. The slider offers the following options: Optimized for cost – Prioritizes cost savings.

Optimization 108

Optimization Data Lake Data Warehouse Cost-Benefit 108

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. So let’s introduce Cloudera Machine Learning (CML) and discuss how it addresses the aforementioned silo issues.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Cloudera

NOVEMBER 13, 2024

Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Furthermore, Fine Tuning Studio comes with deep MLFlow experiments integration , so every metric related to a fine tuning job can be viewed in Cloudera AI’s Experiments view. Monitor the Training Job.

Data Processing 87

Data Processing Cost-Benefit Machine Learning Testing 87

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Model servers are responsible for running models using highly optimized frameworks, which we will cover in detail in a later post. Why did we build it?

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 11, 2019

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. Automation: Machine Learning, a subset of AI, is utilized in SaaS to automate responsiveness in customer service reports and applications, such as AI-powered chat operations with live chatbots.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

DataKitchen

APRIL 26, 2021

Workiva also prioritized improving the data lifecycle of machine learning models, which otherwise can be very time consuming for the team to monitor and deploy. Multiple Metrics for Success. Workiva uses a broad range of metrics to measure success. Smith learned that the definition of DataOps is different for everyone.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. This view actually delivers four out of the five efficiency metrics that we discussed in the previous blog post.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

AWS Big Data

NOVEMBER 11, 2024

This can help you optimize long-term cost for high-throughput use cases. Reach out to AWS Support if this metric stays at a non-zero level for a sustained period. Investigate data stream metrics. Investigate data stream metrics. In general, we recommend using one Kinesis data stream for your log aggregation workload.

Metadata 120

Metadata Metrics Analytics Data Processing 120

datapine

JANUARY 21, 2020

The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed. Artificial intelligence and machine-learning algorithms used in those kinds of tools can foresee future values, identify patterns and trends, and automate data alerts. Cost optimization.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

CIO Business Intelligence

MAY 24, 2022

CloudOps is an operations practice for managing the delivery, optimization, and performance of IT services and workloads running in a cloud environment. At a governance layer, we can implement better budgeting and financial tracking and optimization. What is CloudOps? Effective CloudOps [helps] to mitigate this.

Optimization 111

Optimization Cost-Benefit Enterprise Machine Learning 111

IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

AWS Big Data

JULY 29, 2024

This enables more informed decision-making and innovative insights through various analytics and machine learning applications. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. It is essential for optimizing read and write performance.

Metadata 125

Metadata Snapshot Data Lake Metrics 125

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Most use master data to make daily processes more efficient and to optimize the use of existing resources.

Big Data 84

Big Data Measurement Visualization Machine Learning 84