Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. The data is also distributed. That includes very hot data sources such a real-time processing.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

CIO Business Intelligence

SEPTEMBER 11, 2024

As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5 million affiliates providing services for Colsubsidio were each responsible for managing their own data. Still, there were obstacles. That governance would allow technology to deliver its best value.

Recreation/Entertainment 131

Recreation/Entertainment Statistics Data Science Machine Learning 131

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. Five hypothesized key factors that contribute to housing prices were used to enrich the listing data using spatial joins: select demographic variables from the U.S. Real world problems are multidimensional and multifaceted.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

Smart Data Collective

NOVEMBER 11, 2020

Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans. We recently talked about some of the changes that data has created in the game of golf. You can keep reading to learn more about the history of these changes.

Big Data 112

Big Data Scorecard Statistics Recreation/Entertainment 112

Smart Data Collective

MAY 19, 2021

Amazon, for instance, provides an entire suite of services that allow developers to integrate connectivity into hardware, design scalable home automation solutions , and apply advanced machine learning algorithms while conducting sensor data analysis.

IoT 134

IoT Recreation/Entertainment Data-driven Software 134

Smart Data Collective

JANUARY 27, 2022

Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. It is important to be aware of the changes brought on by developments in big data. Data analytics is attributed to many changes in the 3-D printing space.

Big Data 135

Big Data Advertising Internet of Things Marketing 135

CIO Business Intelligence

APRIL 3, 2023

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Recreation/Entertainment 96

Recreation/Entertainment Broadcasting Deep Learning Digital Transformation 96

CIO Business Intelligence

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. Raw data collected through IoT devices and networks serves as the foundation for urban intelligence.

IoT 122

IoT Internet of Things Predictive Modeling Data-driven 122

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

NOVEMBER 8, 2023

In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness. With real-time streaming data, organizations can reimagine what’s possible. Reserve your seat now!

Data-driven 105

Data-driven Machine Learning Data Lake Cost-Benefit 105

Domino Data Lab

JULY 28, 2021

After cleaning, the data is now ready for processing. At this stage, data scientists begin writing code for computation and model-building.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

AWS Big Data

JUNE 20, 2023

Feature engineering is a process of identifying and transforming raw data (images, text files, videos, and so on), backfilling missing data, and adding one or more meaningful data elements to provide context so a machine learning (ML) model can learn from it. Mikhail specializes in data analytics services.

Data Lake 103

Data Lake Data Science Recreation/Entertainment Data-driven 103

AWS Big Data

OCTOBER 10, 2024

Amazon Redshift has established itself as a highly scalable, fully managed cloud data warehouse trusted by tens of thousands of customers for its superior price-performance and advanced data analytics capabilities. In the past, however, sharing data lake tables across Redshift warehouses presented challenges.

Data Lake 121

Data Lake Data Warehouse Recreation/Entertainment Data-driven 121

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

JUNE 28, 2021

Role of Data Centers in E-commerce. E-commerce companies use data stored on their data centers in highly effective ways, such as improving their machine learning capabilities to assist customers. This wouldn’t be possible without huge advances in data center infrastructures.

Management 96

Management Big Data Advertising Data Processing 96

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. He has more then 20 years of experiences in different databases and data warehousing technologies.

Data Warehouse 99

Data Warehouse Cost-Benefit KPI Risk 99

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider.

Recreation/Entertainment 98

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 98

Smart Data Collective

SEPTEMBER 26, 2019

Software Development Remains a Driving Force of Big Data. We are living in a data-oriented world where everyone seems obsessed with Big Data. Whether it’s in the banking sector, health, communication, marketing, or entertainment, Big Data has permeated every aspect of our daily lives. Improving Efficiency.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

AWS Big Data

MAY 17, 2023

However, when internal users want to perform data analytics or machine learning, the company doesn’t have control over the demand for those queries, and the load on Amazon Redshift data warehouses can be variable, with some queries more CPU-intensive than others.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

Jet Global

NOVEMBER 5, 2020

When you start to explore the complexities of Azure Data Lakes, you will quickly run into topics like data pipelines, conditional triggers, and machine learning algorithms. Azure Data Lakes are complicated. Complexity inevitably drives higher costs. It has happened before.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases. Rajesh Rao is a Sr.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

CIO Business Intelligence

JULY 6, 2023

His responsibilities span the entire IT spectrum, encompassing the IT infrastructure and network, Security, SAP, Business applications, Data Analytics, and digital footprint. One of the major changes is the shift from signature-based protection to behavior-based Machine Learning dependent solutions.

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

IBM Big Data Hub

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

DataRobot

SEPTEMBER 2, 2021

From MLB to NBA, NHL, premier league, entertainment venues, and broadcast, they all get tremendous value injecting AI into their current processes. During my tenure, they continue to “top the leaderboard” within the AI/machine learning/data science industry. So, what about my new team, DataRobot?

Broadcasting 52

Broadcasting Recreation/Entertainment ROI Statistics 52

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . What they have learned is that often their legacy Machine Learning models (e.g.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. A new view has to be created (or recreated) for reading changes from new snapshots.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

IBM Big Data Hub

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66

AWS Big Data

MAY 16, 2023

Solution overview The AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data, analytics, artificial intelligence (AI), machine learning (ML), serverless, and container modernization initiatives.

Data Lake 101

Data Lake Cost-Benefit Optimization Testing 101

CIO Business Intelligence

FEBRUARY 21, 2024

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says.

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Data-driven Modeling 135

Cloudera

FEBRUARY 24, 2021

Here’s my take on some of the trends specific to the impact that data, analytics and AI/ML will have as we look at the year ahead. . Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning.

Risk Management 61

Risk Management Risk Machine Learning Recreation/Entertainment 61