Smart Data Collective

AUGUST 8, 2019

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Datanami has talked about the ways that hackers use big data to coordinate attacks. Phishing-as-a-Service on the rise, due to big data.

Big Data 211

Big Data Banking Cybersecurity Predictive Analytics 211

Smart Data Collective

AUGUST 21, 2019

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement. governance.

Big Data 192

Big Data Banking Healthcare Predictive Analytics 192

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. Characteristics of Big Data.

Big Data 199

Big Data Banking Artificial Intelligence Cloud Computing 199

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Securing financing is a huge example.

Finance 248

Finance Data Analytics Data Analytics Big Data 248

Smart Data Collective

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 Fraud risks.

Data Analytics 287

Data Analytics Data Analytics Finance Banking 287

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. They can use data on online user engagement to optimize their business models. How many plug-ins will I need?

E-Commerce 285

E-Commerce Banking Big Data Finance 285

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Exploratory Data Analysis (EDA). Predictive Analytics. Predictive modeling for flagging suspicious activity.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. AI-Powered Big Data Technology. Predictive Business Analytics. General-Audience AI Tools.

Business Intelligence 252

Business Intelligence Business Intelligence Predictive Analytics Data Discovery 252

Smart Data Collective

JULY 31, 2022

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 330

Predictive Analytics Banking Supply Chain Finance 330

Smart Data Collective

AUGUST 15, 2019

Data makes it possible to target your ideal demographic seamlessly. For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. According to data published by the Work Institute , employers will pay an estimated $680 billion in turnover costs by 2020. And big data is key.

Big Data 207

Big Data Artificial Intelligence Predictive Analytics Banking 207

Smart Data Collective

MAY 11, 2023

The recent slew of bank failures have created a lot of concerns about the state of the global economy. The good news is that big data technology is helping banks meet their bottom line. Big data can help companies in the financial sector in many ways. Pension area advances have not been as noticeable.

Banking 243

Banking Data Mining Big Data Customer Experience 243

Smart Data Collective

JULY 19, 2019

When Alan Turing invented the first intelligent machine , few could have predicted that the advanced technology would become as widespread and ubiquitous as it is today. Since then, companies have adopted AI for pretty much everything , from self-driving cars to medical technology to banking.

Artificial Intelligence 210

Artificial Intelligence User Experience Big Data Predictive Analytics 210

Marutitech

DECEMBER 17, 2021

You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Cprime

JANUARY 30, 2024

Here’s an expansion on how AI is contributing to this significant shift: Cancer Research and Treatment Big Data and AI in Detecting Cancer : AI analyzes genomic and molecular data to detect risk factors like the BRCA mutation, linked to increased risks of breast and ovarian cancers.

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Smart Data Collective

JANUARY 10, 2023

She pointed out that big data can increase revenue by up to $300 billion a year. Individual financial professionals can utilize big data in various ways. What Are Some of the Ways that Financial Professionals Can Utilize Big Data? Data plays a key role in how high financial professionals advise businesses.

Finance 243

Finance Data Analytics Data Analytics Big Data 243

Actian

JULY 26, 2019

But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. At a global bank that recently migrated from Netezza to the Actian analytics platform was able to save $7.9M Want all the details? Check out the full case study here.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Data Pine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. 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.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

Smart Data Collective

DECEMBER 12, 2020

Big data is making a significant impact on the financial world. The market for big data in the banking industry alone is projected to reach over $14.8 How Big Data is Taking the Financial Industry by Storm. quintillion bytes of data daily. Real-Time Analytics. million by 2023.

Big Data 339

Big Data Cybersecurity Finance Predictive Analytics 339

Data Pine

JULY 1, 2020

Typically, ad hoc data analysis involves discovering, presenting, and actioning information for a smaller, more niche audience and is slightly more visual than a standard static report. Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore. The Benefits Of Ad Hoc Reporting And Analysis.

Retail 104

Retail Healthcare Visualization Business Intelligence 104