Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

Big Data 98

Big Data Machine Learning Insurance Data Processing 98

Cloudera

SEPTEMBER 21, 2021

Using provider operators that are tested by a community of users reduces the overhead of writing and maintaining custom code in bash or python, and simplifies the DAG configuration as well. conn-host '<CDE_JOBS_API_ENDPOINT>'. conn-host '<CDE_JOBS_API_ENDPOINT>'. They were already part of Airflow 1.x

Data Processing 95

Data Processing Testing Management Machine Learning 95

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 96

Cost-Benefit Testing Risk Strategy 96

Smart Data Collective

FEBRUARY 20, 2022

With these tools, your SaaS can: Merge and improve the application code constantly Automate the development, testing, and release of software Integrate operations and developer workflows And much more. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Easy to use.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Pandemic “Pressure” Testing. However, through this real-time “pressure test”, they identified areas of weakness, dependencies, and opportunities. Challenges of implementing ML and AI at scale.

Risk 97

Risk Optimization Management Insurance 97

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 68

Cost-Benefit Data Processing Optimization Software 68

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Data Processing 77

Data Processing Management Big Data Reporting 77

Cloudera

AUGUST 11, 2022

But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields. . The post How Universal Data Distribution Accelerates Complex DoD Missions appeared first on Cloudera Blog.

Predictive Analytics 89

Predictive Analytics Data-driven Data Processing Data Architecture 89

Cloudera

JULY 24, 2023

As a result, the platform development team needs to test many different combinations to ultimately identify the right major / minor version of each project that properly integrates with the rest of the custom distribution. data engineering pipelines, machine learning models).

Analytics 65

Analytics Testing Metrics Management 65

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. These datasets are distributed across the world and hosted for public use. Data scientists have access to the Jupyter notebook hosted on SageMaker. The notebook is able to connect and run workloads on the Dask scheduler.

Data Processing 97

Data Processing Metadata Informatics Interactive 97

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Learn more about CDP and how Cloudera supports Financial Services Modernization.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

IBM Big Data Hub

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. This personalized approach might lead to more effective therapies with fewer side effects.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Laminar Security

DECEMBER 11, 2023

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. Test the DDR solution to ensure that it works properly and does not interfere with your normal data activity.

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

Domino Data Lab

JULY 10, 2019

This blog post considers Ludwig, offering a brief overview of the package and providing tips for practitioners such as when to use Ludwig’s command-line syntax and when to use its Python API. This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. This may be accomplished through a wide variety of tests, to develop a deeper introspection into how the model behaves.

Risk 52

Risk Modeling Metrics Business Objectives 52

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog.

Optimization 52

Optimization Machine Learning Insurance Risk 52

DataRobot Blog

JUNE 16, 2022

Airflow is a perfect tool to orchestrate stages of the DataRobot machine learning (ML) pipeline, because it provides an easy but powerful solution to integrate DataRobot capabilities into bigger pipelines, combine it with other services, as well as to clean your data, and store or publish the results. Then, click the Save button.

Machine Learning 59

Machine Learning Modeling Testing Publishing 59

IBM Big Data Hub

MAY 26, 2023

AWS is responsible for the operation, management and control of the components from the host operating system and virtualization layer down to the physical security of the facilities in which the AWS services operate. Given the rise of AI, ChatGPT and Web3.0,

Consulting 78

Consulting Cost-Benefit Optimization Machine Learning 78

AWS Big Data

MARCH 30, 2023

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. Let’s use the following command to get the ARN of the Step Functions state machine we created earlier: kubectl get StateMachine -o jsonpath={.items.status.ackResourceMetadata.arn}

Data-driven 73

Data-driven Metadata Testing Management 73

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

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. <end code block> Launching workers in Cloudera Machine Learning. Prerequisites.

Machine Learning 89

Machine Learning Dashboards Data Processing Data Science 89

Sisense

MARCH 18, 2020

Where machines learn like humans and from humans, unconscious bias is as much a threat as with humans.” User acceptance testing and other best practices can help developers avoid implementing security precautions that are too confusing, are situationally inappropriate, or otherwise inhibit legitimate use. Lothar Determann.

Software 52

Software Machine Learning Internet of Things Risk 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. Select the connection again and on the Actions menu, choose Test connection. Testing the connection can take approximately 1 minute.

Sales 52

Sales Data Warehouse Visualization Testing 52

Insight

SEPTEMBER 20, 2019

In this blog, I’ll describe how this project uses segmentation to detect lesions in an image, and classification to detect whether those lesions are benign or malignant. The model was a modified U-Net and trained on GPU hosted by Amazon Web Services (AWS) EC2 instances. The box plot below shows a summary of the testing results.

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. It’s generated by a host of sources in different ways. First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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 44

Machine Learning Big Data Data Science Data Warehouse 44

CDW Research Hub

JULY 31, 2019

Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Occam's Razor

JUNE 4, 2018

Yes, that additional $6 mil is not as hard to accomplished for an imaginative focused team – in fact you can get that from implementing half of the recommendations in this blog post. Social cues (/proof) can help create a sense of urgency for a whole host of companies. Such is the case with A/B testing. 800 plusses on Google+.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Cloudera

MAY 3, 2024

With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications. This allows for seamless transitions, whether you’re running examples locally or deploying processes automatically in Cloudera Machine Learning. Best of all, every AMP is fully open source.

Data Processing 68

Data Processing Machine Learning Enterprise Risk 68

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

MAY 3, 2024

With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications. This allows for seamless transitions, whether you’re running examples locally or deploying processes automatically in Cloudera Machine Learning. Best of all, every AMP is fully open source.

Data Processing 52

Data Processing Machine Learning Enterprise Risk 52

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. Overall, Kubernetes provides the flexibility, portability and scalability needed to train, test, schedule and deploy ML and generative AI models.

Machine Learning 115

Machine Learning Data-driven Software Testing 115

Cloudera

FEBRUARY 28, 2024

This blog post walks you through how you can use prefixless replication with Streams Replication Manager (SRM) to aggregate Kafka topics from multiple sources. If not, you can check out this related blog post. This can be done using the kafka-producer-perf-test CLI tool. Using SSH, log in to one of your source cluster hosts.

Management 68

Management Testing Data Processing Big Data 68

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 75

Snapshot Data Warehouse Data Processing Management 75

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. What Are Large Language Models? pip install transformers==4.25.1

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

AWS Big Data

NOVEMBER 8, 2023

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. In this section, we test the data access levels for each role.

Testing 89

Testing Modeling Management Machine Learning 89

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