Jen Stirrup

APRIL 16, 2024

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential.

Data Processing 59

Data Processing Data-driven Optimization Forecasting 59

Smart Data Collective

SEPTEMBER 30, 2022

The average cloud hosting company is lower than many other cloud startups. Some experts have shown that you can start a cloud hosting business for as little as $1 a month per customer. Finally, data collection companies can help check where to beam your searchlight for good investors.

Finance 113

Finance Data Processing Enterprise Strategy 113

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 134

Business Intelligence Dashboards Visualization Big Data 134

Smart Data Collective

SEPTEMBER 6, 2020

A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? billion on big data by 2025. But how should ecommerce platforms use big data effectively?

B2B 109

B2B Data Analytics Analytics Cost-Benefit 109

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

Strategy 103

Strategy Cost-Benefit Data-driven Measurement 103

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 77

Data Strategy Strategy Data Warehouse Prescriptive Analytics 77

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. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

CIO Business Intelligence

MARCH 27, 2024

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. Going Digital to accelerate Innovation and R&D Today’s customer demands digitally integrated and intelligent products.

Manufacturing 52

Manufacturing Digital Transformation IoT Testing 52

Smart Data Collective

AUGUST 4, 2022

If you want to transform the employee performance appraisal process and make it more actionable and insightful, you can reach out for data collected via monitoring software for employees. They can also be time-consuming, requiring managers and employees to fill out numerous forms and handle tons of paperwork.

Data-driven 131

Data-driven Metrics Software Data Collection 131

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. 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 Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 110

Metadata Modeling Data Processing Unstructured Data 110

IBM Big Data Hub

MARCH 29, 2024

Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic. Clear visibility into this type of data offers insights into patterns, trends and predictions for business planning. Prometheus uses PromQL to aggregate data and metrics.

Metrics 75

Metrics Visualization Measurement Optimization 75

IBM Big Data Hub

SEPTEMBER 7, 2023

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. In addition, IBM will host StarCoder, a large language model for code, including over 80+ programming languages, Git commits, GitHub issues and Jupyter notebooks.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

Measurement 74

Measurement Risk Data Collection Data Processing 74

IBM Big Data Hub

MAY 15, 2024

These approaches minimize data movement, latencies, and egress fees by leveraging integration patterns alongside a remote runtime engine, enhancing pipeline performance and optimization, while simultaneously offering users flexibility in designing their pipelines for their use case.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

IBM Big Data Hub

JANUARY 22, 2024

A company can be both a controller and a processor, like a company that both collects phone numbers and uses them to send marketing messages. Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business.

Measurement 79

Measurement Risk Data Processing Data Collection 79

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Conclusion and future work.

Metadata 85

Metadata Data Lake Optimization Strategy 85

IBM Big Data Hub

MAY 28, 2024

That plan might involve switching over to a redundant set of servers and storage systems until your primary data center is functional again. A third-party provider hosts and manages the infrastructure used for disaster recovery. Disaster recovery as a service (DRaaS) is a managed approach to disaster recovery.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Having more data is generally better; however, there are subtle nuances. That seems much more robust.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Data Science 101

NOVEMBER 8, 2023

Drawing straws in my head, I’m going to have to go with my recent promotion from an analytics/development role (big data marketing segmentation would maybe be the best way to describe it) to a product management role… But it wasn’t the promotion that was significant.

Data Science 59

Data Science Visualization Management Data Processing 59

datapine

NOVEMBER 19, 2019

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Such innovations offer the ability to transfer data over a network, creating valuable experiences for both the consumer and the business itself.

Technology 279

Technology Internet of Things IT IoT 279

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 108

Analytics IoT Metadata Internet of Things 108

AWS Big Data

FEBRUARY 26, 2024

It empowers businesses to explore and gain insights from large volumes of data quickly. Amazon OpenSearch Ingestion is a fully managed, serverless data collection solution that efficiently routes data to your OpenSearch Service domains and Amazon OpenSearch Serverless collections.

Dashboards 71

Dashboards Testing Metrics Optimization 71

IBM Big Data Hub

MAY 26, 2023

AWS is responsible for the operation, management and control of the components from the host operating system and virtualization layer down to the physical security of the facilities in which the AWS services operate.

Consulting 73

Consulting Cost-Benefit Optimization Machine Learning 73

IBM Big Data Hub

JANUARY 10, 2023

This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data. By not requiring a client to move their data into the data warehouse, NPS can provide an advantage over other vendors such as Snowflake.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Occam's Razor

JANUARY 12, 2015

Each bucket has a host of specific segments for you. As the 10/90 rule for Magnificent Web Analytics Success states: If you have $100 to invest in making smart decisions with data, invest $10 in the tool and consulting required for implementation and invest $90 in Analysts/Big Brains. Data pukes! Big data pukes!!! : ).

Analytics 151

Analytics Slice and Dice KPI Metrics 151

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Data Processing 92

Data Processing Data Warehouse Enterprise Visualization 92

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

APRIL 12, 2023

The analytics layer comes on top of the data layer. It is initially an empty but pluggable layer, with management capabilities, that can host analytics functions as data consumers and providers of actionable insights. And the volume of the data increases by the same factor. Finally, the top layer is the automation layer.

Data Processing 80

Data Processing KPI Optimization Analytics 80

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. Check the requirements listed in any digital analytics job and you'll notice a long laundry list looking for analytics experience. Years of having used tool x.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52