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.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

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. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

MARCH 18, 2019

Data Science and Predictive Analytics Made Simple! Imagine a world where data science and predictive analytics tools are created for business users! Contact Us if you want an Advanced Analytics Solution that will support business users and enhance business results.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Cloudera

JULY 18, 2018

Despite advances made in EHRs of late, they, unfortunately, do not provide advanced analytics or intelligent search for that matter. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

Smarten

OCTOBER 25, 2023

Mobile Analytics Features Are Key to Productivity and Decision-Making! Analytics Insight reports that there are some important factors to consider when you look for a Business Intelligence or Augmented Analytics solution. Access to analytics from the office, an airport, a hotel, or a home office is critical!

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

AUGUST 21, 2019

Discover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. Using the Smarten approach, users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others. Original Post: Smarten Augmented Analytics: Sophistication and Simplicity.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

JUNE 25, 2019

The concept of Augmented Analytics is one that is crucial to business success. Augmented analytics allows business users to access and analyze data from numerous sources in a simple, intuitive interface that provides an underpinning of sophisticated tools, analytical techniques and algorithms.

Analytics 51

Analytics Predictive Modeling Visualization Machine Learning 51

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

MAY 17, 2022

Tableau wants to make it easier for enterprise users to tell stories using their data with a set of new capabilities being added to Tableau Cloud, the new name for its software-as-a-service (SaaS) analytics platform. Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

Smart Data Collective

AUGUST 7, 2019

The best thing that you can do is find some data analytics tools to solve your most pressing challenges. There are many benefits to data analytics. Data analytics plays a significant role in these aspects of business operations. Another data analysis tool that many businesses use today is CRM analytics.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

BizAcuity

JULY 13, 2021

Garnering over more than 6 decades of gaming intelligence experience of our founding team and using advanced technologies like AI & machine learning have a custom-built gaming accelerator platform that provides both visualization and data analytics. Data Analytics Layer. Data Visualization Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Why is augmented analytics an important factor in your success? So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

JUNE 20, 2022

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. Analytics is really important,” says Leonard, who declined the specify the analytics used but noted that it is Microsoft-friendly.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

Birst BI

MAY 29, 2018

Today, the BI assembly line is highly dependent on several job roles with different skill sets working together to deliver a report or analytic dashboard to a business user to facilitate better decision making. The mainstream arrival of AI using machine learning automation promises to boost all kinds of software capabilities, particularly BI.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

IBM Big Data Hub

AUGUST 14, 2023

The newly launched IBM Security QRadar Suite offers AI, machine learning (ML) and automation capabilities across its integrated threat detection and response portfolio , which includes EDR , log management and observability, SIEM and SOAR.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

Smarten

FEBRUARY 7, 2019

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction. There is a need for Advanced Analytics but there is no funding to hire the required resources.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Sisense

APRIL 10, 2020

R: Analytics powerhouse. It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. Some standard Python libraries are Pandas, Numpy, Scikit-Learn, SciPy, and Matplotlib.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

DataRobot

JANUARY 13, 2022

It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience. This frees up data scientists to focus on more complex analytical tasks. And any predictive model can become an AI app in minutes—no coding required.

ROI 52

ROI Machine Learning Experimentation Data Science 52

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

FEBRUARY 17, 2022

‘If a business is truly committed to the concept of Citizen Data Scientists, and wishes to achieve the benefits of this type of initiative, it must review its current environment, make the right augmented analytics solution selection and plan for and execute the changes required.’.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Data Science 101

JUNE 10, 2019

They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. Data analysts sift through data and provide helpful reports and visualizations. In addition to having the skills, you’ll need to then learn how to use the modern data science tools.

Data Science 96

Data Science Statistics Predictive Modeling Machine Learning 96

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73