AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 93

Data Processing Experimentation Visualization Metrics 93

Cloudera

JUNE 26, 2023

For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. CM facilitates issue diagnosis with health test functions, metrics, charts, and visuals.

Testing 79

Testing Data Processing Visualization Data Science 79

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. If you have never been involved in a tweet chat, I recommend it.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. As part of the same process, it also generates and tests a whole host of new models and presents the top ones as recommended challengers.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Alation

JANUARY 20, 2022

AI and machine learning can automatically create and enforce such rules, or people can use the data extracted from data profiling to create the rules manually. Step 7: Data Quality Metrics. With data quality rules completed and firing, you can collect data quality metrics. Step 8: Determine Authoritative Sources.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

DataRobot Blog

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

MAY 12, 2023

Hannah’s IT division collaborates with and serves the needs of its “sister” business units where it makes sense, such as hosting financial applications for some business units. We were able to get better metrics and reporting. “They’re free to go to whatever cloud they need to meet the needs of their customers,” he says.

Strategy 94

Strategy IT Digital Transformation Finance 94

DataRobot

JUNE 10, 2021

To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. If machine learning could contribute, this would allow for the faster invention of new compounds tailored for particular aromatic signatures. The best model for this dataset is a Keras-based neural network.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

IBM Big Data Hub

FEBRUARY 7, 2024

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024. The smart factories that make up Industry 4.0

Reporting 90

Reporting Internet of Things Cost-Benefit Data-driven 90

CIO Business Intelligence

JUNE 12, 2023

VAs make use of automation and a host of AI technologies like machine learning (ML), natural language processing (NLP), sentiment analysis, language translation, speech-to-text, intent recognition, and robotic process automation (RPA). Let’s look a bit closer at the metrics surrounding VA technology. What is a VA?

Interactive 97

Interactive Cost-Benefit Reporting Enterprise 97

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. For a list of supported metrics, refer to Monitoring pipeline metrics.

Data Lake 114

Data Lake Analytics Dashboards Metrics 114

IBM Big Data Hub

DECEMBER 20, 2023

It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development. What metrics need to be improved? Algorithms: Algorithms are the rules or instructions that enable machines to learn, analyze data and make decisions.

Strategy 72

Strategy Business Objectives Cost-Benefit Consulting 72

IBM Big Data Hub

AUGUST 16, 2023

The organization should also decide which cloud service type to utilize from three different options: IaaS (Infrastructure-as-a-Service) provides on-demand access to cloud-hosted physical and virtual servers, storage and networking—the backend IT infrastructure for running applications and workloads in the cloud.

Cost-Benefit 64

Cost-Benefit Data Processing Optimization Software 64

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. We embedded best practices and various deep learning models to support image data. Our first step was to include images into the supervised machine learning pipeline.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

Analytics 68

Analytics Testing Metrics Management 68

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

Visualization 93

Visualization Cost-Benefit Modeling Machine Learning 93

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them. In the past I’ve shared a cluster of metrics that small, medium and large businesses can use as a springboard…. If you want to play along. Don’t read what I’ve chosen.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Alation

DECEMBER 9, 2021

As well as encryption and protection, cloud hosting offers multiple backups of key data to reduce the risk of data loss or costly downtime in the event of a disaster. Choose the Right Cloud Hosting Platform. In choosing which metrics to analyze, focus on those that will have the greatest impact on your bottom line or user experience.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

DataRobot

JANUARY 15, 2020

Kaggle is a popular online forum that hosts machine learning competitions with real-world data, often provided by commercial or non-profit enterprises to crowd-source AI solutions to their problems. For every competition, the host provides a training and test set of data.

Data Processing 16

Data Processing Testing Metrics Machine Learning 16

CIO Business Intelligence

JUNE 9, 2022

We have something called PowerUp, an internal, multi-day tech conference hosted by and for our global technology organization featuring in-person learning sessions for the firm’s technologists. They get to understand the conversation we’re having, everything from our objectives and key results and metrics to our hiring to our demos.

Technology 99

Technology Software Data Processing Metrics 99

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity.

Data Processing 112

Data Processing Dashboards Machine Learning Management 112

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data.

Testing 102

Testing Experimentation Management Metadata 102

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. There’s A Wealth Of Choice. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

AUGUST 9, 2023

S&P Global Market Intelligence has found that digitally driven organizations outperform digitally delayed ones across a host of key metrics, including customer satisfaction, average time to respond to customer inquiries, customer lifetime value, customer acquisition, and marketing ROI.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

O'Reilly on Data

JANUARY 17, 2023

” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning. All of this leads us to automated machine learning, or autoML. Is autoML the bait for long-term model hosting?

Machine Learning 326

Machine Learning Predictive Modeling Software Modeling 326

Cloudera

SEPTEMBER 20, 2022

Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet. Moreover, collecting large data sets from the internet raises a host of ethical issues centered around privacy, consent, acknowledgement, and remuneration.

Deep Learning 91

Deep Learning Cost-Benefit Risk Data-driven 91

IBM Big Data Hub

SEPTEMBER 28, 2023

New Relic also uses different agents for different technologies and requires multiple agents per host. There’s no guessing which agent(s) need to be installed on which hosts. IBM Instana not only captures every performance metric in real-time, it automates tracing every single user request and profiles every process.

Metrics 95

Metrics Data Processing Machine Learning Dashboards 95

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 138

Insurance Machine Learning Digital Transformation Cost-Benefit 138

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows. Six top Kubernetes use cases Here’s a rundown of six top Kubernetes use cases that reveal how Kubernetes is transforming IT infrastructure.

Machine Learning 109

Machine Learning Data-driven Software Testing 109

The Unofficial Google Data Science Blog

JULY 17, 2018

Often such decisions are the responsibility of a separate machine learning (ML) system. Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

datapine

DECEMBER 11, 2019

Within business scenarios, artificial intelligence (as well as machine learning, in many cases) provides an advanced degree of responsiveness and interaction between businesses, customers, and technology, driving AI-based SaaS trends 2020 onto a new level. How will AI improve SaaS in 2020? 2) Vertical SaaS. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

DataKitchen

NOVEMBER 29, 2021

Quality test suites will enforce “equity,” like any other performance metric. An array of interdependent domains may sound great in theory, but we can say from experience, a decentralized organizational/architectural structure raises a host of issues that must be addressed.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

bridgei2i

MAY 19, 2021

In this episode of the AI to Impact podcast, host Venkat Subramanian engages in a stimulating discussion with Sid Banerjee on his early corporate experience of driving growth and innovation at Global In-house Centers (GICs). Episode 7: How GICs are powering AI enabled transformation. Listening time: 24 minutes. So both are a problem.

Enterprise 75

Enterprise Digital Transformation Marketing Cost-Benefit 75