O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Cloudera

MAY 2, 2019

Last month, I moderated The Women in Big Data panel hosted by DataWorks Summit and sponsored by Women in Big Data. The conversation began by speakers telling their background stories and how they became involved in technology and big data. Call to action. I promise you won’t regret it.

Big Data 93

Big Data Data Science Digital Transformation Data-driven 93

CIO Business Intelligence

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform. “Gen

IT 122

IT Insurance Consulting Risk 122

Business Over Broadway

MARCH 2, 2021

Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The practice of data science requires a variety of different tools and technologies to extract value from data.

Data Science 93

Data Science Deep Learning Machine Learning Data-driven 93

CIO Business Intelligence

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform. “Gen

IT 105

IT Insurance Consulting Risk 105

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). awsAccessKey=s3-spark-user/HOST@REALM.COM. awsSecret=08b6328818129677247d51.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

Cloudera

APRIL 6, 2022

Moreover, interpreting AI results from the data is not overly difficult. Beyond boot camps and computer science degrees, Brooks said that YouTube, massively open online courses (MOOCs), and other institutions have data science programs freely available online to assist with learning about the tools and techniques available.

Big Data 103

Big Data Machine Learning Insurance Data Processing 103

Smart Data Collective

APRIL 8, 2020

Big data and data warehousing. In the modern era, big data and data science are significantly disrupting the way enterprises conduct business as well as their decision-making processes. Another factor that characterized the emergence of big data, was speed.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

Smart Data Collective

JANUARY 21, 2020

When it comes to bridging the existing gap between data science and its usage , targeting better marketing results, nothing beats the utilitarian nature of AI. Instead, it involves a host of key elements with each having a role to play in regard to better marketing. Machine Learning.

Marketing 129

Marketing Machine Learning Data Processing Insurance 129

Sisense

JUNE 25, 2020

Recently described as “not a coffee business, but a data tech company ,” the firm now has a dedicated team of data scientists, led by Jon Francis, Starbucks’ senior vice president of enterprise analytics, data science, research data, and analytics. Going big by going mobile. Improving traceability.

Big Data 98

Big Data Data-driven IoT Marketing 98

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

Insight

MARCH 29, 2019

Over the last three years, I’ve worked with more than 500 Insight Fellows , coaching them as they transition to thriving industry careers in data science, data engineering, and artificial intelligence. However, even as she enthusiastically interviewed for the role of VP and Head of Data Science at Dotdash?—?a

Data Science 73

Data Science Management ROI Data Processing 73

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

AWS Big Data

MAY 4, 2023

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

Smart Data Collective

MARCH 3, 2022

Companies use big data to optimize their marketing strategies, maintain better relationships with their customers, manage their financial strategies and improve human resources capabilities. Unfortunately, data isn’t always easy to manage. Data science is a very specialized skill that not all IT professionals can handle.

Strategy 133

Strategy Management Cost-Benefit Data Processing 133

Smart Data Collective

MARCH 12, 2020

Professors at this school have said that big data is becoming more integral to the fire protection field. Big Data Finds New Applications in Fire Safety. Data analytics is a pretty hot topic right now. In fact, the phrase itself is one of the leading catchphrases of big business. Are you still skeptical?

Data Analytics 109

Data Analytics Analytics Big Data Key Performance Indicator 109

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Data-driven Visualization Data Processing 41

AWS Big Data

JULY 11, 2023

The demo in this post uses an AWS Lambda -based client in a VPC to ingest data into a collection via a VPC endpoint and a browser in a public network accessing the same collection. Solution overview To illustrate how you can ingest data into an OpenSearch Serverless collection from within a VPC, we use a Lambda function.

Dashboards 84

Dashboards Data Processing Insurance Big Data 84

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. 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.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. This unlocks scalable analytics while maintaining data governance, compliance, and access control.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

Cloudera

OCTOBER 25, 2023

That’s why Cloudera and AMD have partnered to host the Climate and Sustainability Hackathon. The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

Cloudera

NOVEMBER 26, 2020

This year’s Data Impact Awards were like none other that we’ve ever hosted. To solve this problem once and for all, and provide its customers with a rapid and seamless service, the Data Enrichment team turned to big data. Automating processes to better serve customers .

B2B 105

B2B Machine Learning Big Data Data-driven 105

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. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Data Processing 55

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. A background in (or a firm grasp of) data warehousing and mining. There’s A Wealth Of Choice.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JANUARY 20, 2023

Dashboards are hosted software applications that automatically pull together available data into charts and graphs that give a sense of the immediate state of the company. Increased competitive advantage: A sound BI strategy can help businesses monitor their changing market and anticipate customer needs.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Smart Data Collective

MAY 31, 2022

Towards Data Science published an article on some of the biggest developments in machine learning over the past century. We can therefore see that data annotation is capable of reducing the costs associated with past techniques that would have required manual intervention. A Host of Interesting Applications.

Machine Learning 128

Machine Learning Cost-Benefit Data Processing Metrics 128

AWS Big Data

JULY 14, 2023

The workflow contains the following steps: Data is saved by the producer in their own Amazon Simple Storage Service (Amazon S3) buckets. Data source locations hosted by the producer are created within the producer’s AWS Glue Data Catalog. Data source locations are registered with Lake Formation.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. When dealing with big data sets choosing secure storage locations is key.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. dask-scheduler --host 0.0.0.0 --dashboard-address 127.0.0.1:8090" Prerequisites.

Machine Learning 90

Machine Learning Dashboards Data Processing Data Science 90

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. Let’s start by looking at the definition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows.

Machine Learning 107

Machine Learning Data-driven Software Testing 107