Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. a Hive Table).

Deep Learning 115

Deep Learning Machine Learning Modeling Reporting 115

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

DECEMBER 6, 2018

The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. Wong and his collaborators are building solutions for enterprises, including tools for generating efficient neural networks and for the performance analysis of networks deployed to edge devices.

Deep Learning 215

Deep Learning Machine Learning Data Science Enterprise 215

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). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. 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. .

Testing 300

Testing Machine Learning Consulting Data Science 300

Smart Data Collective

NOVEMBER 9, 2022

There are a number of great applications of machine learning. The main purpose of machine learning is to partially or completely replace manual testing. Machine learning makes it possible to fully automate the work of testers in carrying out complex analytical processes. Top ML Companies.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Modeling 258

Modeling Machine Learning Testing Metrics 258

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI The problem is even more magnified in the case of structured enterprise data. In this post, we shed some light on various efforts toward generating data for machine learning (ML) models. Data programming.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

IBM Big Data Hub

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

Deep Learning 101

Deep Learning Cost-Benefit Manufacturing Optimization 101

CIO Business Intelligence

AUGUST 21, 2024

But it doesn’t have to be that way because enterprise content management systems have made great strides in that same timeframe, including with new artificial intelligence technology that makes it far easier for employees to find and make the best use of all the content the organization owns, no matter if it’s text, audio, or video.

Management 134

Management Enterprise Unstructured Data Deep Learning 134

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. What differentiates Fractal Analytics?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Rocket-Powered Data Science

JULY 6, 2023

The impacts are expected to be large, deep, and wide across the enterprise, to have both short-term and long-term effects, to have significant potential to be a force both for good and for bad, and to be a continuing concern for all conscientious workers. protecting enterprise leaders from getting out too far over their skis).

Enterprise 184

Enterprise Technology IT Deep Learning 184

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 97

Machine Learning Sales Data Science Deep Learning 97

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts).

Statistics 152

Statistics Deep Learning Machine Learning Enterprise 152

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. However, this data was still left mostly unexploited for its maximum potential and enterprise-wide business value. Summary AI devours data. AI Then and AI Now!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

DataRobot

APRIL 3, 2020

DataRobot is known for its enterprise AI platform which democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This has begun to change. It also provides powerful automated insights to provide transparency under the hood.

Deep Learning 71

Deep Learning Machine Learning Testing Data Science 71

Cloudera

AUGUST 20, 2020

But out of disruption, we’ve seen incredible innovation born into the enterprise. The imperative to deliver meaningful change and value through innovation is why the Data for Enterprise AI category at the Data Impact Awards has never been more of the moment than it is today. But UOB didn’t stop there.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

CIO Business Intelligence

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. Insights discovery (powered by analytics, data science, and machine learning) drives next-best decisions, next-best actions, and business process automation. It is an essential asset. And it is now a fundamental feature of any successful organization.

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. CDP enables enterprise customers to leverage Apache Spark 3.0

Enterprise 93

Enterprise Machine Learning Deep Learning Data Science 93

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. Why did we build it?

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. Before selecting a tool, you should first know your end goal – machine learning or deep learning.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. with over 15 years of experience in enterprise data strategy, governance and digital transformation.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Smart Data Collective

JUNE 10, 2022

Machine Learning Engineer. As a machine learning engineer, you would create data funnels and deliver software solutions. As well as designing and building machine learning systems, you could be responsible for running tests and monitoring the functionality and performance of systems. Enterprise Architect.

Data Science 144

Data Science Machine Learning Statistics Business Intelligence 144

Jen Stirrup

MAY 5, 2020

As you reach the end state itself, it’s very cost-effective for enterprises to move forward with open source analytics. Azure allows you to protect your enterprise data assets, using Azure Active Directory and setting up your virtual network. Azure Machine Learning.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 47

Deep Learning Data Science Machine Learning Modeling 47

CIO Business Intelligence

JANUARY 24, 2024

It’s the culmination of a decade of work on deep learning AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. You probably know that ChatGPT wasn’t built overnight.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

CIO Business Intelligence

APRIL 25, 2022

Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. So how can enterprises overcome these challenges?

Machine Learning 134

Machine Learning Enterprise Deep Learning Cost-Benefit 134

Analytics Vidhya

JULY 11, 2024

Introduction Retrieval Augmented Generation systems, better known as RAG systems, have quickly become popular for building Generative AI assistants on custom enterprise data. They avoid the hassles of expensive fine-tuning of Large Language Models (LLMs).

Modeling 312

Modeling Enterprise Analytics Deep Learning 312

Cloudera

APRIL 27, 2023

Its innovative architecture enables seamless integration with ML and deep learning libraries like TensorFlow and PyTorch. Now we can spin up a Ray cluster in Cloudera Machine Learning. The post Running Ray in Cloudera Machine Learning to Power Compute-Hungry LLMs appeared first on Cloudera Blog.

Machine Learning 77

Machine Learning Dashboards Deep Learning Testing 77