O'Reilly on Data

MARCH 31, 2020

The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. For enterprise products , requirements often come from a small number of vocal customers with large accounts. Managing Machine Learning Projects” (AWS).

Management 363

Management Machine Learning Experimentation Metrics 363

IBM Big Data Hub

FEBRUARY 23, 2024

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Cloudera

NOVEMBER 19, 2020

It enables public sector agencies to tap the power of big data and machine learning by managing volume, velocity, and variety of data, bringing unified governance, data integration, and open-source data management capabilities across all cloud and hybrid-cloud environments.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. He currently works at Cloudera, managing their Data-in-Motion product line.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

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. Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

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. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads. The global commercial drone market is projected to grow from USD 8.15

Data Collection 76

Data Collection Visualization Data-driven Unstructured Data 76

bridgei2i

MARCH 9, 2021

Machine Learning: Since intelligence without learning isn’t intelligence, this subset of AI focuses on parsing data and modifying itself without human effort. ML techniques provide better data-based outputs over time. Deep Learning: DL falls under ML, but its capabilities aren’t comparable.

Technology 52

Technology Deep Learning Data-driven Machine Learning 52

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 78

Marketing Technology Advertising Machine Learning 78

CIO Business Intelligence

SEPTEMBER 22, 2022

The number of companies that have a digital transformation strategy was up 42% from two years ago,” says Ryan Ding, President of Huawei Enterprise BG, “Enterprise direct investment in digital transformation is set to grow at 16.5% per year over 2022 to 2024. Deepening digital transformation through scenario-based approach.

Technology 52

Technology Digital Transformation Broadcasting Uncertainty 52

IBM Big Data Hub

APRIL 22, 2024

The US City of Atlanta , for example, uses IBM data collection, machine learning and AI to monitor public transit tunnel ventilation systems and predict potential failures that could put passengers at risk. This will help advance progress by optimizing resources used.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

DataRobot Blog

JULY 27, 2022

Here we will demonstrate an end-to-end unattended workflow that: trains a new model on the Fashion MNIST Dataset uploads it to an Algorithmia Data Collection creates a new algorithm on Algorithmia creates DataRobot deployment Links everything together via the MLOps Agent. The Demo: Autoscaling with MLOps.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Domino Data Lab

JUNE 23, 2019

SkipFlag was a knowledge base that built itself from your enterprise communication, email, Slack, Wiki information and content. It used deep learning to build an automated question answering system and a knowledge base based on that information. Enterprise product management traditionally is very top down.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

JULY 25, 2024

These technologically modern municipalities use a variety of systems, devices, and sensors to enhance services and operations, manage assets, and increase efficiency — fueled by the power of data.

IT 131

IT Data-driven Digital Transformation Data Collection 131

Domino Data Lab

JULY 22, 2019

If you were to go out 10 years ago and talk about the importance of machine learning in industry – and I was out there doing that – you’ll get a lot of pushback. But for most enterprise, using machine learning…not really. You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82