Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. Although it is primarily cloud-based, SageMaker also works on embedded systems as well.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

CIO Business Intelligence

FEBRUARY 19, 2024

The NAACP cites similar figures , saying that research has found that although “Black people comprise 13% of the US population, they represent only 7% of the computing workforce.” They also believed they needed to take more responsibility for increasing the diversity of workers in their IT ranks.

IT 137

IT Consulting Reporting Software 137

CIO Business Intelligence

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

AWS Big Data

APRIL 16, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. These instances add compute and RAM linearly to directly improve capacity and performance of all Apache Airflow components.

Metadata 100

Metadata Metrics Testing Management 100

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. It’s difficult not to get excited about this future.

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

Sisense

MAY 28, 2020

The cloud isn’t the future; it’s right now. In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

bridgei2i

APRIL 16, 2021

They talk about the buzzword that used to be AI and elaborate on the science behind Deep Neural Networks. Tune in to the podcast to know the differences between General AI and Applied AI, the science behind the black box that is AI, and whether AI is a function of datasets or a programmer’s intelligence. Listen Now! Transcript.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

CIO Business Intelligence

FEBRUARY 7, 2023

Black women in technology are burnt out and impatient with an IT industry slow to change. is made up of Black women. is made up of Black women. If you’re promoted to a G6 or G7 band [ editor’s note : the grading system used to ascertain job seniority and responsibilities in the UK’s civil service ], it’s to make up the numbers.

Technology 145

Technology Advertising Software Management 145

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. Introduction. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. Welcome back to our monthly burst of themes and conferences. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

JANUARY 19, 2018

We (Mike Olson, Amr Awadallah, Christophe Bisciglia, and Jeff Hammerbacher) started Cloudera because we believe that data makes things that are impossible today, possible tomorrow. There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Jedox

JANUARY 16, 2019

I believe in the not-too-distant future, best-in-class FP&A functions will be incorporating Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), data mining, and simulation analysis to produce predictive analytics and give our business partners across the enterprise actual foresights. 2: The Cloud.

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 110

Data Warehouse Visualization Cost-Benefit Optimization 110

CIO Business Intelligence

JULY 5, 2022

First came those driven by cloud, mobile, and advanced security. But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently. That businesses are failing to capture the full value of their data.

IoT 98

IoT Forecasting Internet of Things Machine Learning 98

CIO Business Intelligence

JUNE 30, 2022

First came those driven by cloud, mobile, and advanced security. But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently. That businesses are failing to capture the full value of their data.

IoT 98

IoT Forecasting Internet of Things Machine Learning 98

Cloudera

JULY 26, 2021

Introduction. With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Prerequisites. docker.io).

Machine Learning 81

Machine Learning Metadata Testing Data Science 81

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. Videos will be coming out later.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Domino Data Lab

MAY 8, 2019

Introduction. Admittedly, throughout large swaths of computer science, reductionism serves quite well. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. Welcome back to our monthly burst of themes and conferences. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. How do you take a mission-critical on-premises workload and rapidly burst it to the cloud? Can you instantly auto-scale resources as demand requires and just as easily pause your work so you don’t run up your cloud bill? Cloudera Data Platform.

Enterprise 87

Enterprise Machine Learning Recreation/Entertainment IoT 87

Cloudera

AUGUST 9, 2022

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

Data Lake 77

Data Lake Data Warehouse Data-driven IoT 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. Introduction. Welcome back to our monthly series about data science! After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Introduction. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Introduction. Data Science meets Climate Science.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 22, 2019

Introduction. Introduction. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry. Chapter Introduction: Natural Language Processing.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake 63

Data Lake Metadata Cost-Benefit Data Warehouse 63

Jet Global

MAY 28, 2019

In the business landscape of 2019, data is the only currency that matters. The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85