Smart Data Collective

JANUARY 26, 2021

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

Smart Data Collective

NOVEMBER 18, 2020

The market for big data is surging. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.

Big Data 130

Big Data Statistics Recreation/Entertainment Finance 130

Smart Data Collective

APRIL 22, 2020

Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. Here are a few ways this is possible: 1.

Big Data 111

Big Data Machine Learning Risk Interactive 111

Smart Data Collective

JUNE 29, 2021

Many companies have been heavily impacted by big data. One of the industries most affected by data technology has been the insurance sector. In order to appreciate the role of big data in insurance, it is necessary to look at its historical context. Insurance in the age of Big Data.

Insurance 128

Insurance Modeling IT Big Data 128

Smart Data Collective

MARCH 24, 2020

Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. However, companies need to use big data wisely.

Big Data 115

Big Data B2B Data mining Sales 115

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 103

Modeling Risk Unstructured Data Enterprise 103

IBM Big Data Hub

SEPTEMBER 12, 2023

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 87

Testing Modeling Cost-Benefit Consulting 87

Smart Data Collective

AUGUST 4, 2022

However, there are some downsides to shifting towards a data-driven healthcare delivery model. One of the biggest issues is that the system can break down when healthcare organizations have trouble accessing data. Their data delivery models become disrupted, which hinders the entire organization.

Data-driven 116

Data-driven Modeling Cost-Benefit Insurance 116

Smart Data Collective

JUNE 25, 2019

If you haven’t been paying attention over the last several years, big data is the reigning web 2.0 business model. I recently came across a very valuable infographic on Dataconomy on the role of big data in e-commerce. Big data is making it more scalable in many ways. of their data.

Big Data 78

Big Data Marketing Advertising Strategy 78

Smart Data Collective

MARCH 3, 2023

Then, you make adjustments based on what’s working within your business model— and what isn’t. It’s important to get an objective look at where there are shortcomings in your business model. That’s where modern data tools come in. Using Data to Find Shortcomings & Opportunities No business model is perfect.

Modeling 83

Modeling Cost-Benefit Software Strategy 83

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Smart Data Collective

SEPTEMBER 14, 2022

A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. However, utilizing big data is more difficult than it might seem. Companies must be aware of the different ways that data can be collected, aggregated and applied.

Data-driven 126

Data-driven Big Data Cost-Benefit Measurement 126

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

IBM Big Data Hub

MARCH 20, 2024

In the business sphere, both large enterprises and small startups depend on public cloud computing models to provide the flexibility, cost-effectiveness and scalability needed to fuel business growth. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 92

Internet of Things Cost-Benefit Data Processing IoT 92

Smart Data Collective

NOVEMBER 2, 2022

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021.

Marketing 137

Marketing Big Data Data-driven Sales 137

Smart Data Collective

APRIL 23, 2022

In recent years, organized sports have been steadily changed by big data. More sports companies are likely to invest in big data in the future. Many people are unaware of the importance of big data or even what it is. This data may overwhelm businesses every day in structured or unstructured forms.

Analytics Technologies 106

Analytics Technologies Broadcasting Data Analytics Technology 106

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” RAG is the essential link between two things: (a) the general large language models (LLMs) available in the market, and (b) a specific organization’s local knowledge base.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Jet Global

MAY 20, 2022

Use these steps to find insights and patterns, so you can be the one that shares an actionable data point that leads to the upcoming big-ticket item in your strategic plan. Step #1: Data collection. Whether you are part of a small company or leading an enterprise, you will want to collect data from multiple sources.

Big Data 52

Big Data Sales Reporting Marketing 52

Smart Data Collective

MAY 29, 2023

With these changes comes the challenge of understanding how to gather, manage, and make sense of the data collected in various markets. With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information.

Data Collection 76

Data Collection Big Data Statistics Software 76

Smart Data Collective

OCTOBER 30, 2021

Last year, one expert reported that Netflix used big data to grow to become a $100 billion company. This shouldn’t surprise anybody, because big data has been instrumental in their business model since the day the company was launched. But what data does it actually process? Is it only watch history?

Big Data 114

Big Data Data Collection Testing Modeling 114

Smart Data Collective

MAY 8, 2022

Many fleet management companies were reluctant to embrace the power of big data a decade ago. Their skepticism has waned significantly, as they have finally started to discover the countless benefits that big data has to offer for their industry. The fleet management industry is no exception. Keep reading to find out.

Optimization 103

Optimization Data Analytics Management Analytics 103

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Smart Data Collective

JUNE 10, 2019

You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. Big Data Helps Meet UN Climate Targets.

Technology 105

Technology Data Analytics IoT Big Data 105

Smart Data Collective

JUNE 28, 2021

Data centers can meet that goal while equipping brands to discover new, compelling ways to keep pace with customer demands,” Mathews wrote. Big data is more than a trend in the technology sector, which is the driving force behind the growing demand for new data centers. Price optimization and possible promotions.

Management 87

Management Big Data Data Processing Advertising 87

CIO Business Intelligence

MARCH 21, 2022

A data scientist’s chief responsibility is data analysis, which begins with data collection and ends with business decisions based on analytic results. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. Data scientist skills.

Unstructured Data 133

Unstructured Data Data Analytics Analytics Structured Data 133

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

IBM Big Data Hub

MAY 21, 2024

At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using big data to recruit players had the potential to change the core business.

Reporting 69

Reporting Statistics Technology Consulting 69

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., Dynamic sense-making, insights discovery, next-best-action response, and value creation is essential when data is being acquired at an enormous rate.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 138

Data Science Statistics Machine Learning Visualization 138

IBM Big Data Hub

NOVEMBER 14, 2023

Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. But few organizations have made the strategic shift to managing “data as a product.”

Strategy 107

Strategy Cost-Benefit Data-driven Measurement 107

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Smart Data Collective

AUGUST 31, 2020

At Smart Data Collective, we have talked extensively about the benefits of big data in digital marketing. We have focused a lot on using data analytics for SEO. However, there are a lot of other benefits of using big data in marketing. Big data developments have heightened these benefits.

Data-driven 85

Data-driven Marketing Big Data Broadcasting 85