Cloudera

OCTOBER 1, 2022

Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. Sam Charrington, founder and host of the TWIML AI Podcast.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

O'Reilly on Data

MARCH 31, 2020

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. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Managing Machine Learning Projects” (AWS).

Management 363

Management Machine Learning Experimentation Metrics 363

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 is driving the need for endorsed, enterprise-class infrastructure.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

Data Science 101

DECEMBER 11, 2019

Every year they host an excellent and influential conference focusing on many areas of data science. Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods. 1989 to be exact.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

bridgei2i

MAY 14, 2019

BRIDGEi2i is pleased to host Alex Smola – VP & Distinguished Scientist at AWS for an informative and hands-on learning session on Computer Vision GluconCV & D2L.ai AWS is a cloud computing service that enables enterprises to build sophisticated applications with improved flexibility, scalability and reliability.

Contextual Data 63

Contextual Data Deep Learning Data Processing Consulting 63

IBM Big Data Hub

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. IBM watsonx.data offers connectivity flexibility and hosting of data product lakehouses built on Red Hat OpenShift for an open hybrid cloud deployment.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. How it will be used in enterprises , we will yet to see. Quantum Computing.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

APRIL 13, 2023

Companies such as Salesforce , Amazon , The Coca-Cola Company , and Snapcha t are making bold moves to integrate generative AI into a host of capabilities. Deep learning models, for example, can have thousands or even millions of parameters. For that, generative AI needs explainability. You can even ask ChatGPT about this.)

Modeling 90

Modeling Deep Learning Data-driven Data Processing 90

bridgei2i

APRIL 16, 2021

There are techniques like online learning, but they too are subject to programmer ingenuity and intuition. So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. But does nobody really understand how deep learning actually works? Divyansh: Absolutely.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Interactive 98

Domino Data Lab

JULY 2, 2019

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “ Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

DataRobot Blog

MARCH 7, 2023

This generates reliable business insights and sustains AI-driven value across the enterprise. AI Platform Single-Tenant SaaS are fully managed by DataRobot and replace disparate machine learning tools, simplifying management. The capability to rapidly build an AI-powered organization with industry-specific solutions and expertise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

BizAcuity

JUNE 16, 2022

Part 3: Transforming the Way Enterprises Function. It is hosted by public cloud providers such as AWS or Azure and are the most popular of the lot. This is especially popular for SMEs and smaller enterprises who work with limited amounts of data. This is a three-part story. Now, to cloud solutions. Public Cloud Infrastructure.

Data-driven 52

Data-driven IoT Data Processing Deep Learning 52

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.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Domino Data Lab

APRIL 3, 2019

My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. for DG adoption in the enterprise.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

IBM Big Data Hub

JULY 6, 2023

An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights. Python is the most common programming language used in machine learning. Machine learning and deep learning are both subsets of AI.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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

Cloudera

SEPTEMBER 12, 2018

Enterprise Machine Learning: . AbbVie’s platform uses analytics and machine learning, including natural language processing, deep learning, and unsupervised learning, to proactively identify issues and opportunities. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

DataRobot Blog

MAY 26, 2022

However, with the widespread adoption of modern ML techniques, including gradient-boosted decision trees (GBDTs) and deep learning algorithms , many traditional validation techniques become difficult or impossible to apply.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

JANUARY 25, 2021

Zero growth isn’t inappropriate for an established enterprise language, particularly one owned by a company that has mired the language in controversy. That increase is no doubt influenced by the popularity of Jeremy Howard’s Practical Deep Learning for Coders course and the PyTorch-based fastai library (no data for 2019).

Machine Learning 364

Machine Learning Software Testing Technology 364

CIO Business Intelligence

DECEMBER 2, 2024

Sify believes strongly not only in providing enterprises with best-in-class enterprise multi-tenant cloud, private, public, and hybrid cloud offerings but also everything needed to realize the optimal, most secure cloud journey – one that enables them to realize their larger transformation goals.

Digital Transformation 105

Digital Transformation Technology Insurance Manufacturing 105