Smart Data Collective

JULY 9, 2023

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. Some of the most important is conversion rates.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 60

Data Science Machine Learning Cost-Benefit Deep Learning 60

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 128

Advertising Machine Learning Software Measurement 128

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 119

Advertising Machine Learning Software Measurement 119

Smart Data Collective

MARCH 5, 2021

Digital marketing is getting more competitive with each passing day, but small businesses can still rely on a time-tested channel: email marketing. As a small business, it is natural to make accounts on social media and publish a couple of posts, but such efforts hardly get any results. Leveraging Personalization and Segmentation.

Marketing 144

Marketing Data Analytics Analytics ROI 144

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We need to get to the root of the problem. Model Drift. Find out more.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

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.

Cost-Benefit 95

Cost-Benefit Visualization Modeling Machine Learning 95

Domino Data Lab

AUGUST 6, 2021

When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Deploy: includes validating, publishing and delivering working models into a business environment. Data science is an incredibly complex field.

Data Science 75

Data Science Testing Modeling Publishing 75

Cloudera

JUNE 28, 2022

This blog will be published in two parts. For each transaction, NiFi makes a call to a production model in Cloudera Machine Learning (CML) to score the fraud potential of the transaction. In this blog we showed how Cloudera DataFlow makes it easy to create, test, and deploy data pipelines in the cloud.

Dashboards 83

Dashboards Machine Learning Statistics KPI 83

Cloudera

JANUARY 15, 2021

McKnight Consulting Group recently published their own third party benchmark study comparing the price-performance of Cloudera Data Warehouse to 4 other prominent cloud data warehouse vendors. In addition to this aggregate metric, it’s interesting to look at results for individual queries from the benchmark. higher cost.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

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Snapshot Testing Deep Learning Visualization 57

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Alation

JULY 28, 2021

Imagine that a company creates a process 1) using well-governed data on people’s behavior that has been 2) prepared with a well-defined and consistent set of computations to 3) generate summary metrics to feed into a model. The same is true with machine learning and artificial intelligence.

Data Science 52

Data Science Data Governance Modeling Software 52

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. Model developers will test for AI bias as part of their pre-deployment testing. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Insight

JANUARY 14, 2020

We pass 3 parameters: loss, optimizer , and metrics. Choosing your evaluation metric Lastly, metrics just refers to your choice of evaluation metric. You can use this metric to track progress during training or choose between different models. The documentation for Keras’ metric functions can be found here.

Metrics 58

Metrics Optimization Modeling Testing 58

AWS Big Data

JANUARY 16, 2024

The need for Amazon MWAA disaster recovery Amazon MWAA, a fully managed service for Apache Airflow , brings immense value to organizations by automating workflow orchestration for extract, transform, and load (ETL), DevOps, and machine learning (ML) workloads. If the metric is deemed healthy, no action is taken.

Strategy 102

Strategy Metadata Metrics Dashboards 102

datapine

SEPTEMBER 6, 2022

A content dashboard is an analytical tool that contains critical performance metrics to assess the success of all content-related initiatives. This most insightful of Google Analytics dashboards provide the perfect mix between overview metrics and more detailed insights. Let’s look at some of these metrics in more detail below.

Dashboards 179

Dashboards Reporting ROI Metrics 179

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. For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish.

Optimization 97

Optimization Metrics Interactive Data Integration 97

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M) Their tests are performed using C4.5-generated from sklearn.neighbors import NearestNeighbors from random import randrange. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

IBM Big Data Hub

APRIL 8, 2024

  Db2 Warehouse , our cloud-native data warehouse for real-time operational analytics, business intelligence (BI), reporting and machine learning (ML), is also available as a fully managed service on AWS to support customer’s data warehousing needs.    Scalability 5. Database management, monitoring and tools 14.

Snapshot 78

Snapshot Data Warehouse Data Processing Management 78

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is now able to automatically create and maintain materialized views and then transparently rewrite queries to use the materialized views using the machine-learned automated materialized view autonomics feature in Amazon Redshift. The test includes the 99 TPC-DS SELECT queries.

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

AWS Big Data

OCTOBER 2, 2023

The embedded schema ID in the message payload can contain version information, ensuring publishers and consumers are always using the same schema version to manage data. Messages can be published with one schema per stream, or with multiple schemas inside a single stream, allowing consumers to dynamically interpret messages as they arrive.

Cost-Benefit 88

Cost-Benefit Metadata Structured Data Management 88

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ). This concludes the demo.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

AUGUST 10, 2021

At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. There are various types of machine learning approaches, including: Supervised learning: used when you know what the model needs to learn, typically in prediction, regression or classification.

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

FEBRUARY 22, 2024

Reliable “The Department’s AI capabilities will have explicit, well-defined uses, and the safety, security, and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life cycles.” This is misguided.

Metadata 104

Metadata Measurement Risk Modeling 104

AWS Big Data

JUNE 30, 2023

Its machine learning (ML) engine provides automated insights to improve campaign performance and ROI. The Pay-per-click (PPC) & Search Engine Marketing (SEM) dashboard lets you deep dive into key metrics by campaigns, assets, ad formats, landing pages, and device types to better gauge performance.

Marketing 52

Marketing Dashboards Advertising ROI 52

DataRobot Blog

FEBRUARY 15, 2023

The DataRobot AI catalog fosters collaboration by providing users a system of record for datasets, the ability to publish and share datasets with colleagues, tag datasets, and manage the lineage of the dataset throughout the entire project. After setting up your project, you can get started.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

IBM Big Data Hub

JULY 28, 2022

To take full advantage metadata enrichments, you’ll want to publish data assets, enriched with metadata‚ to a catalog where users can quickly find and access the right information. The workflow and user experience for discovering, enriching and publishing a large number of data assets from a source to a catalog has been entirely revisited.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

Cloudera

MAY 13, 2021

The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. After a job ends, WM gets information about job execution from the Telemetry Publisher, a role in the Cloudera Manager Management Service. Performance metrics appear in charts and graphs. . How WM helps the Move to CDP.

Management 71

Management Data Warehouse Interactive Reporting 71

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

DataRobot

NOVEMBER 9, 2021

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. For our baseline model, we use the pre-calculated time series features from the UCI HAR dataset so that DataRobot is able to build the model with the following performance metrics.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

Insight

MARCH 25, 2020

Live demo of the Pair web app Most recommender systems in use today leverage classical machine learning models. This design feature vector then queries the feature index libraries using L2 norm as the similarity search metrics ( cosine similarity is also available).

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. We had big surprises at several turns and have subsequently published a series of reports. In order, those are: “5 findings from O’Reilly’s machine learning adoption survey companies should know”. “

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

FEBRUARY 20, 2024

The World Economic Forum has published a short report that lists the 10 jobs most likely to see a decline, and the 10 most likely to see gains. Customer service personnel can be retrained to test and verify that AI systems are working correctly. We’ve known for a long time that machine learning systems can’t be perfect.

Insurance 182

Insurance Modeling Technology Reporting 182