Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Data Mining 346

Data Mining Banking Data Modelling Artificial Intelligence 346

BizAcuity

APRIL 28, 2019

Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. One such technology is Artificial Intelligence. And for that, they are looking up to new-age technologies.

Predictive Analytics 246

Predictive Analytics Artificial Intelligence Big Data Data Mining 246

Cprime

FEBRUARY 16, 2021

The massive outbreak in the generation of data has propelled advancements in the fields of machine learning and artificial intelligence. Although data mining has been around for a longer period of time, there’s been a lot of confusion between fields that deals with understanding data.

Data Mining 94

Data Mining Artificial Intelligence 94

Smart Data Collective

SEPTEMBER 9, 2020

From intelligent machines and automated cars to genetic modification and 3D printing, there’s a significant technological power shift everywhere at a rapid pace. Data mining helps decrease the health care costs and shortfalls, increase accessibility and quality of healthcare and keep making medicine more specific and effective.

Healthcare 282

Healthcare Artificial Intelligence Banking Data Mining 282

Smart Data Collective

JUNE 18, 2023

Artificial intelligence technology has also substantially altered consumer purchasing behavior. Allal-Chérif and his colleagues are confident that artificial intelligence will continue to redefine consumerism for years to come. This is just one of the many benefits of using proxies, in addition to data mining.

Artificial Intelligence 217

Artificial Intelligence Cybersecurity Supply Chain Data Mining 217

Smart Data Collective

FEBRUARY 4, 2021

After all, without sufficient capital, one will need to leverage big data and artificial intelligence to outshine competitors. Similarly, you can utilize these insights to make informed business decisions. They can use data mining algorithms to find potential deductions and screen your tax records to see if you qualify.

Data Analytics 354

Data Analytics Data Analytics Big Data Banking 354

Smart Data Collective

JUNE 24, 2023

Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Artificial Intelligence 205

Artificial Intelligence Cybersecurity Digital Data Mining 205

Smart Data Collective

DECEMBER 4, 2019

In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. Depending on the relevant industry, we see predictive analysis being used to develop Artificial Intelligence (AI) in the IT realm.

Predictive Analytics 136

Predictive Analytics Data Mining Artificial Intelligence Digital 136

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Smart Data Collective

MAY 8, 2022

For instance, supply chain and fulfillment operations rely on data, so they rely on AI to provide real-time insights into customer feedback. By doing this, businesses can form their finance & marketing strategies with the new information they have gathered. Collecting consumer information.

Big Data 290

Big Data Data Analytics Data Analytics Supply Chain 290

Smart Data Collective

OCTOBER 28, 2019

Like other terms such as big data or artificial intelligence, APM is capturing the attention of business leaders and innovators, not just for its mysterious “newness”, but also for its ability to preserve company performance and limit disaster. Application log data and error information.

Monitoring 163

Monitoring Big Data Artificial Intelligence Data Mining 163

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Data Pine

MAY 14, 2019

For savvy data scientists, the potential that comes with unlocking this seemingly infinite ocean of information is enormous. Data science, also known as data-driven science, covers an incredibly broad spectrum. Without further ado, here are our top data science books. click for book source**.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

GAVS Technology

DECEMBER 2, 2020

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques. Data Mining for Patient Segmentation. About the Author – Srini is the Technology Advisor for GAVS.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Smart Data Collective

SEPTEMBER 21, 2022

Communication is what helps to convey factual and complex information in a clear and concise manner. As far as Data Analysis is concerned, potential employees should have an extensive knowledge of quantitative research, quantitative reporting, compiling statistics, statistical analysis, data mining, and big data.

Skillset 227

Skillset Project Management Data Mining Finance 227

Data Pine

OCTOBER 25, 2022

That said, we’ve selected 16 of the world’s best business intelligence books – invaluable resources that have not only earned a great deal of critical acclaim but are what we consider to be wonderfully presented, incredibly informational, and decidedly digestible. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Dataversity

APRIL 6, 2021

With the huge amount of online data available today, it comes as no surprise that “big data” is still a buzzword. As the name suggests, business owners around the world now have a high volume and variety of information at their fingertips. But big data is more […].

Big Data 130

Big Data Data Mining Predictive Analytics Data Quality 130

Marutitech

DECEMBER 17, 2021

With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. LSTM is used to store the information and data points that you can utilize for predictive analytics. Read how machine learning can boost predictive analytics.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc.,

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Sisense

MAY 11, 2021

Building the right data model will help you get the most out of your data and uncover game-changing actionable intelligence that you can embed into workflows, present to users, and use to evolve your business. The right data model + artificial intelligence = augmented analytics. Dig into AI. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Sisense

APRIL 26, 2020

Understanding data structure is a key to unlocking its value. A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed. Different types of information are more suited to being stored in a structured or unstructured format.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Data Pine

MARCH 25, 2022

Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver insights for making better future decisions. Imagine you own an online shoe store.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Marutitech

APRIL 7, 2022

Even though the organization leaders are familiar with the importance of analytics for their business, no more than 29% of these leaders depend on data analysis to make decisions. Predictive analytics is a new wave of data mining techniques and technologies which use historical data to predict future trends.

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

GAVS Technology

NOVEMBER 3, 2020

In other words, data-driven healthcare is augmenting human intelligence. 360 Degree View of Patient, as it is called, plays a major role in delivering the required information to the providers. It is a unified view of all the available information about a patient. Limitations of Current Methods.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Cprime

MARCH 7, 2024

This situation becomes a breeding ground for privacy issues, especially when sensitive or proprietary information is involved. This vulnerability could lead to the retention and leakage of sensitive information, which may be used inappropriately to retrain AI models. And these are just a few examples of a skyrocketing trend.

Data Mining 52

Data Mining Data Security Banking Monitoring 52

Marutitech

FEBRUARY 23, 2022

Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions. A campaign launched using email work well as a suggestion at check out or, your customer is turning to your website for information. Supply Chain Management.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Data Pine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In Do you find computer science and its applications within the business world more than interesting?

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Marutitech

JUNE 30, 2022

You can then visualize the data structure as a multidimensional map in which groups of entities form clusters of a different kind. Cluster algorithms in data mining are often shown as a heatmap, where items close together have similar values, and those far apart have very different values. 9 Most Common Types of Clustering.

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

Astera

JULY 13, 2023

By cleaning, organizing, and transforming your information, data wrangling ensures that your data is high-quality and reliable, setting you up for success in analysis and decision-making. These beautiful visualizations are the result of behind-the-scenes data wrangling.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

Astera

AUGUST 5, 2024

Business analytics is analyzing data to find insights that inform business decisions. Fundamentally, it involves applying data analytics tools and techniques to a business setting to simplify decision-making and improve business outcomes. Business analytics replaces this guesswork with a data-driven approach.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Forrester - Business Intelligence

OCTOBER 5, 2020

They say data is the new oil. They say data is the new currency. They say data is the key competitive differentiator. But reality is sobering: Only 7% of firms report advanced, insights-driven practices.

Data Mining 89

Data Mining Information Technology Information Technology Predictive Analytics 89

Smart Data Collective

APRIL 13, 2021

As streaming giants are utilizing big data , artificial intelligence, psychological concepts, data mining, machine learning, ad data sciences to improve user’s experience – a VPN can further enhance this experience. Your data is the craved currency for the advertisement agencies.

Big Data 266

Big Data Artificial Intelligence Data Mining Government 266

The BAWorld

NOVEMBER 22, 2021

For example, some users might prefer sales information at the state level, while some may want to drill down to individual store sales details. Also, see data visualization. Data Analytics. Conceptual Data Model (CDM) : Independent of any solution or technology, represents how the business perceives its information. .

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

GlowTouch

JULY 6, 2021

The more information that is shared among medical professionals from various fields, the more informed the profession becomes as a whole, and the more likely it is that patient outcomes will improve. But the tool depends on the data that can inform action and taking “what if?” ” scenarios seriously.

Healthcare 52

Healthcare Supply Chain Innovation Artificial Intelligence 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144