Smart Data Collective

JULY 9, 2023

Not only can such patterns create a greater awareness of user interactions, but they can also provide invaluable data on where improvements can be made. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

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. Choose -GlueInteractiveSession-DPU-Hour (DPU-Hour) for interactive sessions. Learn more in Analyzing your costs with AWS Cost Explorer.

Optimization 94

Optimization Metrics Interactive Data Integration 94

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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 95

Data Warehouse Cost-Benefit Dashboards Optimization 95

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

Smarten

OCTOBER 31, 2022

What-If Analysis to test pricing, budget and cost information. GeoMap support with interactive maps. Publishing and delivery agent. Auto Insights and toolsets that leverage machine learning. Graphical Analysis and Cross-Tab Analytics for Intuitive reporting. Out-of-the-Box Mobile BI tools for access from anywhere.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

IBM Big Data Hub

JULY 5, 2022

Back in the 1960s and 70s, vast amounts of data were stored in the world’s new mainframe computers—many of them IBM System/360 machines—and had become a problem. Finally, 13 years after Codd published his paper, IBM Db2 on z/OS was born, and 10 years after that the first IBM Db2 database for LUW was released. . They were expensive.

Data Lake 98

Data Lake Data Warehouse Publishing Structured Data 98

Insight

APRIL 9, 2019

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. In doing so, I’ll demonstrate the application of ML techniques to the manufacturing industry and the role of the Machine Learning Product Manager.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

IBM Big Data Hub

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. Another published study found that AI recognized skin cancer better than experienced doctors.

Deep Learning 61

Deep Learning Cost-Benefit Insurance Machine Learning 61

AWS Big Data

JULY 26, 2023

The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop? The software development lifecycle on AWS defines the following six phases: Plan, Design, Implement, Test, Deploy, and Maintain. Test In the testing phase, you check the implementation for bugs.

Data Integration 70

Data Integration Snapshot Testing Visualization 70

AWS Big Data

MARCH 2, 2023

To enable interactive querying and analyzing their data in place using familiar SQL syntax, many teams are turning to Amazon Athena. Athena is an interactive query service that is used by modern applications to query large volumes of data on an S3 data lake using standard SQL. Install NPM. wscat -c wss://{YOUR-API-ID}.execute-api.

Data Lake 73

Data Lake Testing Interactive Unstructured Data 73

AWS Big Data

MAY 4, 2023

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI.

Data Processing 93

Data Processing Metadata Informatics Interactive 93

DataRobot

JULY 6, 2021

The Behavioural Insights Team ran an experiment, testing four variations to the language used in reminder letters on a trial group. Recently published research shows that AIs can match the performance of top human sales staff, achieving four times more sales than your inexperienced sales staff.

Marketing 105

Marketing Sales Data-driven Statistics 105

Domino Data Lab

MARCH 29, 2021

The addition of the MLlib library, consisting of common learning algorithms and utilities, opened up Spark for a wide range of machine learning tasks and paved the way for running complex machine learning workflows on top of Apache Spark clusters. JupyterLab) or in batch mode through a Domino job or spark-submit.

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

Insight

MARCH 20, 2020

How can we use AI to transform this tedious technical exercise into a simple and natural interaction between the computer and designer? Model Architecture With the prior knowledge database defined, it now has to be encoded in a way that can be intuitively interacted with and sampled.

Interactive 143

Interactive Modeling Machine Learning Testing 143

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

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

DataRobot

APRIL 19, 2021

Most modern artificial intelligence systems are powered by machine learning algorithms , which learn by example. Data scientists train the algorithms using datasets that contain curated learning examples. There is some recently published research about the ability of data scientists to discover errors.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Smart Data Collective

JANUARY 18, 2021

A lot of design tools like Canva use machine learning to create higher quality YouTube thumbnails that are shown to drive more clicks. Encourage People to Interact with Your Videos. Always remind people to interact by including clickable annotations in the video itself as well as in the video description.

Data Analytics 104

Data Analytics Analytics Data mining Big Data 104

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

Insight

MAY 16, 2019

Computer vision has also been used in solving some of humanity’s grand challenges, like Stanford University’s Sustainability and Artificial Intelligence Lab project that combines satellite imagery and machine learning to predict poverty. Transfer Learning?—?YOLO. Precision?—?Recall

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

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. This provides consistent security and metadata architecture as CDW interacts with other services within CDP. higher cost. Benchmark Description.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

The Data Visualisation Catalogue

FEBRUARY 16, 2023

This was done through testing this AI tool on a number of tasks and on its information retrieval ability. If AI tools develop the ability to generate image files of a chart or create an interactive dashboard from an uploaded dataset, then there will be a threat to many web and desktop based DataViz drawing applications.

Dashboards 122

Dashboards Consulting Machine Learning Technology 122

Domino Data Lab

JULY 15, 2021

IDEs (also sometimes referred to as notebooks) is a coding tool that makes it easier to develop and test code. Shiny is an R package that enables building interactive web applications that can execute R code on the backend. Launchpad: Allows you to publish your deployed models in different formats.

Data Science 145

Data Science Visualization Modeling Enterprise 145

Insight

AUGUST 14, 2019

Photo by Kaleidico on Unsplash You’ve studied your share of computer science algorithms/statistics/machine learning/system design for the on-site interview at your favorite tech company. this is just an example for you to get an idea of how much interaction is appropriate. Why do smart candidates fail interviews? Do you agree?

Testing 54

Testing Statistics Machine Learning Data Science 54

AWS Big Data

FEBRUARY 6, 2023

Operationalizing machine learning (ML) is another growing use case, where data has to be transformed and normalized before it can be loaded into an ML model. However, be aware that services that your tasks are interacting with will use a separate log group and won’t log the run_id as part of their output.

Management 82

Management Interactive Metadata Publishing 82

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 90

Data Lake Data Processing Metadata Snapshot 90

Jen Stirrup

OCTOBER 3, 2019

Evidence in research as well as publicized news stories have found that machine learning systems can inadvertently discriminate against minorities, historically disadvantaged populations and other groups. They also published Six principles for the responsible development of AI in a 2018 book, The Future Computed (2018).

Technology 40

Technology Machine Learning Interactive Risk 40

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Insight

MAY 7, 2019

This API also takes an S3 bucket name as input and then performs inference on all inputs in the test file. The user interacts with the platform using the APIs which start the training or batch inference in the background using Celery. The platform was tested on an Amazon p2.xlarge

Modeling 75

Modeling Testing Machine Learning Interactive 75

AWS Big Data

MARCH 30, 2023

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads.

Data-driven 70

Data-driven Metadata Testing Management 70

Domino Data Lab

JULY 28, 2021

For companies creating models to scale, an enterprise Machine Learning Operation (MLOps) platform not only needs to support enterprise-grade development and production, it needs to follow the same standard process that data scientists use. Have a question? Get in touch with us.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

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

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Administrators can publish QuickSight applications on the Keycloak Admin console.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

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. On my test set, this approach resulted in~75–95% accuracy and ~.65

Modeling 59

Modeling Metadata Publishing Sales 59