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. This allows for the pipelining of incredibly complex inference models.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

SEPTEMBER 9, 2022

“Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. AI Test Drive functions as an effective AI-as-a-Service solution, and it is already demonstrating strong results.

Testing 144

Testing Data Processing Machine Learning Business Intelligence 144

Smart Data Collective

JUNE 15, 2021

They are using machine learning to solve a number of complex problems. However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model.

Modeling 91

Modeling Advertising Cost-Benefit Machine Learning 91

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. So end to end, our strategic priority has stood the test of time. AI and machine learning are mature today.

IT 133

IT Modeling Digital Transformation Data Governance 133

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. It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale.

Testing 75

Testing Data Processing Visualization Data Science 75

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. Continuous AI not only retrains your current production models for you. Why do I think this? Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Unless the model is understood and followed, it could lead to data, applications, and cloud workloads being exposed to security vulnerabilities.

Management 98

Management Data Processing Risk Digital Transformation 98

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. If you are interested in exploring the multi-modal model, please reach out to your AWS specialist. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 92

Data Processing Experimentation Visualization Metrics 92

CIO Business Intelligence

JUNE 16, 2022

Cloud-first applications support a manageable OpEx cost model, metered like a utility, as opposed to requiring significant upfront capital investments in infrastructure and software licenses. That’s illustrated by the ability of cloud-first businesses to pivot to a remote work-from-home model with unprecedented speed and scale.”.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

CIO Business Intelligence

OCTOBER 18, 2023

The context tests us and it’s necessary to reinvent ourselves every day.” So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities.

Digital Transformation 128

Digital Transformation Insurance Interactive Sales 128

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. Observe what the model has to offer even if not the intended output.

Risk 97

Risk Optimization Management Insurance 97

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JUNE 29, 2022

Nvidia made its name designing chips that can dramatically accelerate certain kinds of calculations — those involved in rendering 3D models, for instance — but has recently moved into software development. In other cases, a photorealistic simulation may be the end goal, not the means: a sandbox in which to test something virtually.

Manufacturing 98

Manufacturing IoT Recreation/Entertainment Software 98

Decision Management Solutions

AUGUST 20, 2021

Charlotte Dekeyrel will be presenting “How Decision Modeling Reduces Complexity in Regulated Industries.” Ryan Trollip will be co-hosting a session with Jan Purchase called “Expand the Pie with DMN Conformance Clarity.” This year, three of us from Decision Management Solutions will be at DecisionCAMP. We hope you can join us!

Management 52

Management Data Processing Machine Learning Optimization 52

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

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. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 95

Cost-Benefit Visualization Modeling Machine Learning 95

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 73

Data Integration Snapshot Testing Visualization 73

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. As you think of new names, check their availability on web hosting sites. Some of the most popular web hosting sites with databases on registered domain names include: Google Domains GoDaddy Bluehost GreenGeeks HostGator.

Analytics 115

Analytics Cost-Benefit Testing Dashboards 115

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

Cloudera

APRIL 6, 2022

“So far, our data is matching our models and expectations,” Feinberg added. 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. This e-learning allows lots of folks to assist with the AI.

Big Data 98

Big Data Machine Learning Insurance Data Processing 98

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. 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.

Data Processing 97

Data Processing Metadata Informatics Interactive 97

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 a variety of AI model development and delivery platforms , as well as packaged AI-based applications. Easy to use.

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

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

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

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

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 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Test the feature To test this feature, run the producer DAG. Test the feature Upload the four sample text files from the local data folder to an S3 bucket data folder. Run the dynamic_task_mapping DAG.

Testing 103

Testing Experimentation Management Metadata 103

IBM Big Data Hub

MAY 26, 2023

Leading life science companies are leveraging cloud for innovation around operational, revenue and business models. AWS Shared Responsibility Model When it comes to security, AWS follows a Shared Responsibility Model between the customer and AWS. Given the rise of AI, ChatGPT and Web3.0,

Consulting 78

Consulting Cost-Benefit Optimization Machine Learning 78

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. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 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. The model definition via a YAML file. The same encoding and decoding models developed for one task can be reused for different tasks. In my work, it is common for each run to represent a tweak of the model.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

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 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

DataKitchen

APRIL 13, 2021

Testing and Data Observability. 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. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MARCH 2, 2023

Configure the WebSocket framework using the following page , which deploys the API infrastructure using AWS Serverless Application Model (AWS SAM). A Step Functions state machine with associated permissions to run the polling Lambda function and send API notifications using Amazon SNS. Install NPM. wscat -c wss://{YOUR-API-ID}.execute-api.{YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 77

Data Lake Testing Interactive Unstructured Data 77

CIO Business Intelligence

JUNE 13, 2022

That initiative includes technology upgrades such as API integration layers for greater, more agile access to data and a culture change encouraging more innovation by “testing hypotheses” using data. But they also say the emphasis on that task fluctuates based on a host of factors such as the health of the overall economy.

IT 144

IT Digital Transformation Strategy Internet of Things 144

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Taken together, those points warranted a much deeper review of the field.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84