DataRobot

JANUARY 15, 2020

A few days ago, Kaggle --and its data science community--was rocked by a cheating scandal. 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.

Data Processing 16

Data Processing Testing Machine Learning Metrics 16

Cloudera

APRIL 21, 2021

We did add some additional capacity to make parts of the testing and validation process easier, but many clusters can upgrade with no additional hardware. Part of the reason we run a single multi-tenant cluster is to make it possible to join data from different departments and get a full picture of our business. Life on CDP.

Testing 121

Testing Data Processing Interactive Data Warehouse 121

Insight

MAY 8, 2019

From Local Web Development to the Internet Local Flask development is so frictionless it conceals the hurdles required to host your application anywhere other than localhost. When you inevitably want your app hosted on the internet, your options, for the most part, fall into two buckets: Managed services (e.g.

Data Processing 72

Data Processing Testing Data Science Visualization 72

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smart Data Collective

MARCH 3, 2022

They might also be able to help manage your data, but that is going to depend on their training and proficiency with data management. Data science is a very specialized skill that not all IT professionals can handle. Outsourced IT is where all or part of your IT department is outsourced to an IT managed services company.

Strategy 133

Strategy Management Cost-Benefit Data Processing 133

AWS Big Data

MAY 4, 2023

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

CIO Business Intelligence

JANUARY 31, 2024

At video and music streaming service Plex, head of data science Scott Weston cuts the size of his training data by focusing on a specific need. “We The size of the data sets is limited by business concerns. The Icelandic data center uses 100% renewably generated geothermal and hydroelectric power.

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135

DataKitchen

FEBRUARY 21, 2023

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. are more efficient in prioritizing data delivery demands.”

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

DataRobot

NOVEMBER 12, 2021

Although teams are starting to adopt third-party tools for deployment, 46 percent of survey respondents are not using a market-tested tool for deploying AI. That’s a risky business, as constructing AI models from scratch requires countless hours of time and effort, and the results may incorporate biased data and inappropriate algorithms.

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Data Processing 76

Data Processing Testing Visualization Data Science 76

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. dask-scheduler --host 0.0.0.0 --dashboard-address 127.0.0.1:8090" Do some data sciencey stuff!

Machine Learning 90

Machine Learning Dashboards Data Processing Data Science 90

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Lately a cousin of DMP has evolved, called the customer data platform (CDP). Some DMPs specialize in producing reports with elaborate infographics.

Management 144

Management Advertising Data Lake Sales 144

CIO Business Intelligence

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. Mitigate risks by communicating an LLM governance model The generative AI landscape has more than 100 tools covering test, image, video, code, speech, and other categories.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

CIO Business Intelligence

NOVEMBER 14, 2023

At a previous company with a cost-effective corporate data center and infrastructure environment, Upchurch found that simply moving enterprise applications to the cloud would have decimated the budget. Instead, his team employed DevOps practices to rearchitect applications to take advantage of native cloud capabilities.

Strategy 145

Strategy Cost-Benefit IT Key Performance Indicator 145

DataRobot

JUNE 29, 2021

Above image shows a DataRobot MLOps retraining policy set to trigger when data drift occurs. 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. Continuous AI not only retrains your current production models for you. Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Data Science 101

AUGUST 31, 2023

We have a “pluggable” backend DB architecture, so we will be able to support other DBs as we launch support for self-hosted and VPC deployments. Cut the ones that don’t stand the test of time. Rust is amazing when deterministic performance is important. Take your time. Focus on the ones that survive the “cuts.”

Testing 116

Testing Marketing Data Processing Software 116

CIO Business Intelligence

JUNE 6, 2024

Internal development GPT4DFCI was designed to be used for non-clinical purposes, says Lenane, and was first tested with users last year, with full release at the end of 2023 and beginning of 2024. The obligation to protect patient privacy and data under HIPAA precluded the institute from using public gen AI services like ChatGPT, he says.

Cost-Benefit 131

Cost-Benefit Software Testing Interactive 131

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. 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.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

bridgei2i

JANUARY 25, 2022

The Basic Guide to Data Science at the Workplace. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. Subscribe Now.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

Domino Data Lab

JULY 10, 2019

This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino. Beginning their analytical strategy with a data type abstraction allowed the Uber engineering team to better integrate deep learning best practices for model training, validation, testing and deployment.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. Here, day-of-week is a time-based confounder.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

CIO Business Intelligence

JUNE 2, 2022

Specifically, they are interested in electric utility response to cyber and physical threats, and they are working to develop an algorithm that can be used as a tested, trusted safeguard. Known as the most powerful supercomputer in academia, Frontera is hosted by the Texas Advanced Computing Center (TACC) at the University of Texas, Austin.

Informatics 98

Informatics Modeling Deep Learning Testing 98

Domino Data Lab

JANUARY 14, 2019

The notebook is hosted on Domino’s trial site. Next, we load the Boston Housing data, the same dataset we used in Part 1. Let’s build the models that we’ll use to test SHAP and LIME. To keep it simple, I choose to explain the first record in the test set for each model using SHAP and LIME. # X,y = shap.datasets.boston()?X_train,X_test,y_train,y_test

Testing 89

Testing Deep Learning Modeling Data Science 89

Smart Data Collective

OCTOBER 2, 2020

Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. An IP address helps with host/network interface identification and location addressing.

Data mining 105

Data mining Cost-Benefit Big Data Data Processing 105

AWS Big Data

DECEMBER 19, 2024

Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. This separation means changes can be tested thoroughly before being deployed to live operations. Tommaso is the Head of Data & Cloud Platforms at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

OCTOBER 18, 2023

Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK. Select Redshift data agent , then choose OK. to indicate local host. Choose Test Task.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

Cloudera

MARCH 26, 2024

Model Registry and Endpoints: Effortlessly manage your models through their lifecycle, including hosting and web app integration. Containerized Compute Sessions: Run your development and testing tasks with ease. said Dr. David Hardoon, Group Chief Data & AI Officer, Union Bank of the Philippines.

Cost-Benefit 84

Cost-Benefit Machine Learning Enterprise Data Processing 84

CIO Business Intelligence

MARCH 19, 2025

Even in the absence of a formal C-level sustainability mandate, proactive data leadership can lay the foundation for future ESG integration, helping businesses stay ahead of regulatory and market expectations. Investing in data science and AI for sustainability Advanced analytics and AI can unlock new opportunities for sustainability.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

NOVEMBER 8, 2023

Choose Add New Policy and add a new policy with the following parameters: For Policy Name , enter Data Science Policy. Choose Add New Policy and add a policy for the datascience group as follows: For Policy Name , enter Data Science S3 Policy. In this section, we test the data access levels for each role.

Testing 111

Testing Modeling Management Machine Learning 111

CIO Business Intelligence

SEPTEMBER 22, 2023

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. DMP vs. CDP Lately a cousin of DMP has evolved, called the customer data platform (CDP). Of course, marketing also works.

Management 105

Management Advertising Data Lake Sales 105

Cloudera

APRIL 6, 2022

sat-1 (“phi-sat-1”) satellite launched in 2020 to test this in-space filtering on images with too much cloud in them to be otherwise usable. Moreover, interpreting AI results from the data is not overly difficult. For example, the European Space Agency’s ?-sat-1 Streaming analytics beyond Earth.

Big Data 103

Big Data Machine Learning Insurance Data Processing 103

IBM Big Data Hub

MAY 8, 2023

This is to ensure the AI model captures data inputs and usage patterns, required validations and testing cycles, and expected outputs. You should host the model on internal servers. Efficient and accurate AI requires fastidious data science.

Insurance 68

Insurance Risk Testing Data Quality 68