Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

IBM Journey to AI blog

DECEMBER 19, 2023

For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives. Many enterprises struggle to derive real value from their cloud journeys and may continue to overspend. Enterprises are continuously looking for ways that empower product teams to move from concept to deploy faster than ever.

Data Classification 73

Data Classification 73

IBM Journey to AI blog

DECEMBER 19, 2023

As enterprises embrace cloud native and everything as code, the journey from code to production has become a critical aspect of delivering value to customers. Stage 3: Self-service and cross-functional integration Enterprises have many organizations that want to see that cloud applications follow their guidance and best practices.

AWS 83

AWS Data Classification Data Preparation 83

Snorkel AI

JUNE 12, 2023

With Snorkel Flow, we’ve transformed labeling training sets from an ad hoc manual process into a programmatic one, accelerating time to value by 10-100x+ and leading to better model accuracies for our enterprise customers, including five of the top 10 US banks, government agencies, and more. classification, tagging, extraction).

AI 145

AI AI Algorithm Azure 145

Snorkel AI

JUNE 12, 2023

With Snorkel Flow, we’ve transformed labeling training sets from an ad hoc manual process into a programmatic one, accelerating time to value by 10-100x+ and leading to better model accuracies for our enterprise customers, including five of the top 10 US banks, government agencies, and more. classification, tagging, extraction).

AI 141

AI AI Algorithm Azure 141

Snorkel AI

JANUARY 9, 2024

R4, a continuation of our commitment to creating a robust AI data development platform that empowers enterprises to accelerate custom AI data breakthroughs by 100x. Databricks MLflow deployment integration Snorkel Flow is purposefully engineered to seamlessly integrate into an enterprise’s existing MLOps workflow.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

JANUARY 9, 2024

R4, a continuation of our commitment to creating a robust AI data development platform that empowers enterprises to accelerate custom AI data breakthroughs by 100x. Databricks MLflow deployment integration Snorkel Flow is purposefully engineered to seamlessly integrate into an enterprise’s existing MLOps workflow.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Iguazio

FEBRUARY 20, 2024

While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector. There is a long list of potential use cases across enterprise functions and business groups in banking and securities.

AI 52

AI AI Data Pipeline Data Quality 52

IBM Journey to AI blog

JUNE 20, 2023

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. One of the most important strategic decisions a business leader can make is how these assets are cared for over the course of their lifespans.

Internet of Things 79

Internet of Things Analytics Analytics Machine Learning 79

Snorkel AI

MARCH 27, 2024

You’ll learn how Fortune 500 enterprises have built production-ready, highly custom AI solutions using Google Gemini and PaLM 2 models, Vertex AI, and Snorkel Flow. You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MARCH 27, 2024

You’ll learn how Fortune 500 enterprises have built production-ready, highly custom AI solutions using Google Gemini and PaLM 2 models, Vertex AI, and Snorkel Flow. You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. A fusion of content with AI However, these steps are not universal.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. A fusion of content with AI However, these steps are not universal.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Smart Data Collective

JANUARY 21, 2021

Every viable enterprise has myriads of crucial data that must be protected at all costs, not just by virus protection software but also in a more complex way. Unfortunately, having your enterprise’s data corrupted may lead to the loss of your clients’ data, and subsequently, to your company losing its credibility.

Big Data 125

Big Data Big Data 125

AssemblyAI

FEBRUARY 28, 2024

AI video editing replaces clunky video editing software to help turn anyone into a content creator—from new YouTubers to classroom teachers to global enterprise marketers. In addition to adding captions, video editing platforms can provide AI-powered tools that allow users to: Auto-tag video content with relevant tags.

AI 59

AI AI Analytics Analytics 59

Snorkel AI

JULY 14, 2023

Our focus in this release was to optimize data-centric iteration, advance foundation model workflows, and enhance enterprise readiness, all while incorporating significant customer feedback. With Snorkel Flow, GenFlow, and Foundry, enterprises can support critical data development for all the ways enterprises want to leverage FMs and LLMs.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

JULY 14, 2023

Our focus in this release was to optimize data-centric iteration, advance foundation model workflows, and enhance enterprise readiness, all while incorporating significant customer feedback. With Snorkel Flow, GenFlow, and Foundry, enterprises can support critical data development for all the ways enterprises want to leverage FMs and LLMs.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

AWS Machine Learning Blog

JUNE 8, 2023

You can replace ECR_IMAGE_ID with any of the image tags available in the Amazon ECR Public Gallery , or choose the latest-gpu tag if you are using a machine that supports GPU. In her 4 years at AWS, she has helped set up AI/ML platforms for enterprise customers. AWS_ECR_REPOSITORY_REGION}.amazonaws.com

AWS 76

AWS ML ML Data Scientist 76

Snorkel AI

APRIL 24, 2024

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. The table format confused GPT-4, but the text in the table clearly identified the attached figures as interest rate swaps.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

Snorkel AI

APRIL 24, 2024

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. The table format confused GPT-4, but the text in the table clearly identified the attached figures as interest rate swaps.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

Snorkel AI

MARCH 14, 2023

The combination of Google Cloud services with Snorkel AI’s data-centric AI platform accelerates training data curation for ML development 10-100x [1] and empowers enterprises to solve some of their most critical challenges by accessing all of their knowledge and data to build AI systems.

AI 52

AI AI Data Scientist ML 52

Snorkel AI

MARCH 14, 2023

The combination of Google Cloud services with Snorkel AI’s data-centric AI platform accelerates training data curation for ML development 10-100x [1] and empowers enterprises to solve some of their most critical challenges by accessing all of their knowledge and data to build AI systems.

AI 52

AI AI Data Scientist ML 52

Smart Data Collective

AUGUST 18, 2021

Trullion even enables managers to authorize tagging functions and supports several authorization rounds. The platform even provides seamless integration with any enterprise resource planning (ERP) software. Lease Accelerator is an enterprise lease accounting solution ensuring your compliance to various standards.

Big Data 122

Big Data Big Data Machine Learning Machine Learning 122

ODSC - Open Data Science

APRIL 30, 2024

For many organizations, especially startups and small businesses, the cost of enterprise-grade AI tools can be a barrier that makes it seem that AI-powered tools are out of reach.

AI 52

AI AI Data Science Data Visualization 52

AWS Machine Learning Blog

OCTOBER 30, 2023

When building such generative AI applications using FMs or base models, customers want to generate a response without going over the public internet or based on their proprietary data that may reside in their enterprise databases. For Name tag , enter bedrock-vpce. Choose Create endpoint. With an M.Sc.

AWS 127

AWS ML ML AI 127

Data Science Dojo

MAY 18, 2023

Building Enterprise-Grade Q&A Chatbots with Azure OpenAI: In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning some of its models.

Data Science 195

Data Science AI AI SQL 195

Mlearning.ai

FEBRUARY 24, 2024

From keyword research to meta tag generation, Writesonic helps you optimize your content for maximum visibility and impact, ensuring that your articles rank higher on search engine results pages (SERPs) and attract more organic traffic. Source: elegantthemes.com SEO Optimization In today’s digital landscape, SEO is king.

AI 52

AI AI Natural Language Processing Algorithm 52

Snorkel AI

FEBRUARY 13, 2024

In cases where the high-confidence subset of data appears sufficiently robust, data scientists could cast aside all records tagged as likely-incorrect and train their model with the remainder. That means that GPT-4 and its kin are off-limits for this approach in the enterprise.

Data Scientist 52

Data Scientist Data Science AI AI 52

Snorkel AI

FEBRUARY 13, 2024

In cases where the high-confidence subset of data appears sufficiently robust, data scientists could cast aside all records tagged as likely-incorrect and train their model with the remainder. That means that GPT-4 and its kin are off-limits for this approach in the enterprise.

Data Scientist 52

Data Scientist Data Science AI AI 52

AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process. Johannes Langer is a Senior Solutions Architect at AWS, working with enterprise customers in Germany.

AWS 95

AWS Internet of Things ML ML 95

Smart Data Collective

JULY 27, 2021

ABAP has a storied history, but also comes with a heavy price tag,” stated industry analyst Brian Fitzgerald. “As Inactive users can still manage active users, receive system emails, remaining team members, and serve as the running user for dashboards and other important enterprise systems. Conclusion.

Big Data 132

Big Data Big Data Business Intelligence Business Intelligence 132

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. And while some might see finance as the most conservative department in an enterprise, we believe that they can become innovators, driving how their business consumes and uses data.

Data Governance 52

Data Governance Analytics Analytics Data Analyst 52

AWS Machine Learning Blog

OCTOBER 11, 2023

An enterprise search solution should be able to provide you with a fully managed experience and simplify the process of indexing your content from a variety of data sources in the enterprise. Configure optional encryption settings and tags. One such unstructured data repository are internal and external websites. Choose Next.

AWS 96

AWS ML ML Machine Learning 96

Smart Data Collective

SEPTEMBER 8, 2020

The rise of big data adoption by enterprises has seen analytics be applied to various areas of business. Individual packages can now be equipped with tags and trackers that can log various condition data including temperature, humidity, light exposure, physical shock, and location.

Analytics 82

Analytics Analytics Big Data Big Data 82

phData

MAY 2, 2024

How phData Approaches FinOps As data services consultants, we have culminated our experience across 250+ enterprise clients to distill comprehensive data platform best practices. Tagging enables showback and chargeback and allows for custom performance analysis. Where can I learn more about FinOps?

Cloud Data 52

Cloud Data Data Governance 52

AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. OpenSearch Service for storing the embeddings of the enterprise knowledge corpus and doing similarity search with user questions.

AWS 77

AWS Clustering Python ML 77