Corinium

SEPTEMBER 6, 2021

RE•WORK is the leading events provider for deep learning as well as applied AI. It has been delivering in-depth business insights, advice and tools to C-suite executives across the enterprise since it was founded in 2013. Corinium is a specialist market intelligence, advisory and events company.

B2B 435

B2B Deep Learning Digital Transformation Data Processing 435

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

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

O'Reilly on Data

MAY 21, 2019

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Deep Learning.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

CIO Business Intelligence

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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

Rocket-Powered Data Science

JULY 6, 2021

This is critical in our massively data-sharing world and enterprises. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

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. As the use of machine learning and analytics become more widespread, we’re beginning to see tools that enable data scientists and data engineers to scale and tackle many more problems and maintain more systems.

Deep Learning 210

Deep Learning Machine Learning Data Science Enterprise 210

CIO Business Intelligence

OCTOBER 10, 2023

So, what are its implications for the enterprise and cybersecurity? A technology inflection point Generative AI operates on neural networks powered by deep learning systems, just like the brain works. These systems are like the processes of human learning. It inspires awe and unease — and often both at the same time.

Enterprise 125

Enterprise Deep Learning Interactive Software 125

CIO Business Intelligence

JANUARY 23, 2023

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Up to that point, OpenAI had only allowed enterprises and academics access to the software through a limited API.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

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

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

JULY 27, 2021

They’re outward facing, something polished that could be presented to enterprise users. Recently, we’ve been bringing these front-ends to the Cloudera Machine Learning, with applied machine learning prototypes (AMPs). The post Enterprise Data Science Workflows with AMPs and Streamlit appeared first on Cloudera Blog.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

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

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But these powerful technologies also introduce new risks and challenges for enterprises. Efficient foundation models focused on enterprise value IBM’s new watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

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

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics. Observe, optimize, and scale enterprise data pipelines. .

Testing 304

Testing Machine Learning Consulting Data Science 304

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

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

O'Reilly on Data

JUNE 27, 2019

As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. In our recent survey AI Adoption in the Enterprise , quite a few respondents signalled that they were giving Spark NLP a try. A little over a year later, Talby and his collaborators announced the release of Spark NLP.

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Deep Learning Enterprise Modeling IT 192

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. With this deluge of data flooding every enterprise, what should businesses do?

Enterprise 93

Enterprise Machine Learning Deep Learning Data Science 93

bridgei2i

JANUARY 17, 2021

Case study: Autonomous Underwriting Decisioning Using Deep Learning. The solution helped the enterprise reduce manual effort, streamline existing processes & improve overall underwriting quality. Learn how the right AI strategy can take your business to its pinnacle. Business Context. How BRIDGEi2i Delivered Value?

Deep Learning 52

Deep Learning Insurance Enterprise Strategy 52

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” The best option for an enterprise organization depends on its specific needs, resources and technical capabilities.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

Rocket-Powered Data Science

JULY 6, 2023

LLMs are a subset of the deep learning field of natural language processing (NLP), which includes natural language understanding (NLU) and natural language generation (NLG). that we can all experiment with, the applications in the enterprise can be tremendously impactful and transformative for organizations and the future of work.

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Statistics Deep Learning Machine Learning Enterprise 152

O'Reilly on Data

JUNE 18, 2019

The problem is even more magnified in the case of structured enterprise data. Even with the rise of open source tools for large-scale ingestion, messaging, queuing, and stream processing, siloed data and data sets trapped behind the bars of various business units is the normal state of affairs in any large enterprise. Data programming.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Analytics Vidhya

OCTOBER 30, 2023

Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time.

Optimization 348

Optimization Software Enterprise Analytics 348

CIO Business Intelligence

AUGUST 4, 2022

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. MLOps to the rescue.

Deep Learning 143

Deep Learning Data Science Enterprise Modeling 143

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

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

CIO Business Intelligence

APRIL 17, 2024

But what we’re learning from public announcements like these might just scratch the surface of gen AI use cases for the enterprise. In 2018, DeepMind, now a subsidiary of Alphabet, developed AlphaFold, a deep learning system that learns from a database of existing proteins and predicts their 3D structures.

Enterprise 130

Enterprise Testing Digital Transformation Software 130

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. with over 15 years of experience in enterprise data strategy, governance and digital transformation. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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

Dataiku

MARCH 23, 2022

They are experts in the entire business intelligence chain and the transformation of financial performance processes in the enterprise. This blog is a guest post from our friends at Indizen-Scalian.

Deep Learning 72

Deep Learning Digital Transformation Business Intelligence Big Data 72

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

JUNE 19, 2019

Automation will also be an important component, as these tools will need to enable organizations to build, manage, and monitor many more machine learning models. Demand for tools for managing ML in the enterprise. Tools like MLflow are being used to track and manage machine learning experiments (mainly offline, using test data).

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Modeling Machine Learning Testing Metrics 256