Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 114

Predictive Analytics Forecasting Analytics Machine Learning 114

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Along with converting to electric vehicles and delivering self-driving cars, automotive companies master their software development expertise.

Software 141

Software Machine Learning B2B Manufacturing 141

datapine

MAY 14, 2019

2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Smart Data Collective

SEPTEMBER 12, 2023

AI technology is rapidly changing the software industry. We have talked a lot about the ways that AI technology is improving the quality of software. Helpdesk software is among them. Real-time Customer Insights Modern software solutions often provide real-time customer insights.

Software 122

Software Interactive Predictive Analytics Machine Learning 122

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

Smart Data Collective

SEPTEMBER 6, 2023

AI technology has led to a number of improvements, such as the development of new fraud detection software. As a countermeasure, fraud detection software has become an indispensable ally in the battle against online deceit. Many financial institutions are already using these types of predictive analytics models to fight fraud.

Software 129

Software Measurement Digital Transformation Predictive Analytics 129

Smart Data Collective

SEPTEMBER 24, 2019

A new generation of robots depend on machine learning technology. Machine learning has made them more responsive and boosted their capabilities in countless ways. However, many college robotics programs don’t provide a sufficient primer that covers the fundamentals of machine learning.

Machine Learning 94

Machine Learning Cost-Benefit Predictive Analytics Software 94

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 94

Machine Learning Cost-Benefit Strategy Insurance 94

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

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. connecting data sources and predicting future outcomes.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

NOVEMBER 4, 2024

Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” A client once shared how predictive analytics allowed them to spot a rising trend in customer preferences early on.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

Smart Data Collective

SEPTEMBER 26, 2019

New software is making big data more viable than ever. As new software development initiatives become more mainstream, big data will become more viable than ever. Software Development Remains a Driving Force of Big Data. Moreover, developers themselves are using predictive analytics in their software development processes.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

CIO Business Intelligence

MAY 21, 2024

Grow will reimagine how AI-powered ERP software can and should serve the supply chain industries and their workers, delivering more than 200 adaptive industry use cases, it said at its Insights 2024 user conference in Nashville, Tennessee. Epicor is putting its R&D efforts into AI and data management.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

Smart Data Collective

MAY 13, 2022

Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient. Many software developers use AI to create programs and apps for problem solving and decision-making. AI and machine learning. Takes advantage of predictive analytics.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

Smart Data Collective

MARCH 25, 2021

Essential elements for predictive maintenance in the industry. A predictive maintenance project cannot be carried out without three essential elements for its implementation. It relies on the right predictive analytics tools that can prove to be very useful. Understand what should be monitored.

Machine Learning 129

Machine Learning Predictive Analytics Cost-Benefit ROI 129

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Even though the AI hype cycle appears to be fading, it’s still clear that the unglamorous field of artificial intelligence applied to enterprise software will be the most consequential technology change in business computing since the 1990s. The next important step is creating an enterprise planning and reporting database of record.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

datapine

MARCH 25, 2022

Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. These traditional tools are often more than sufficient for addressing the bread-and-butter analytics needs of most businesses. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JANUARY 15, 2024

If software vendors have their way, the answer is likely to involve more artificial intelligence. It uses Google Cloud’s Vertex AI machine learning platform to power a natural language chat interface that enables retail staff to explore inventory information.

Sales 105

Sales Software Forecasting Statistics 105

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. b) Analytics Features. If you are looking to enter the BI software world but don’t know which features you should look for before investing in one, this post will cover the top business intelligence features and benefits to help you make an informed decision.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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!

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

JANUARY 29, 2020

One of the biggest strides that the technology sector has made for corporations involves the creation of the digital workplace with AI, machine learning and other big data tools. They use a number of predictive analytics tools to help ensure time is used more efficiently. Cloud Computing Technologies.

Big Data 127

Big Data Machine Learning Software Enterprise 127

Smarten

JANUARY 8, 2025

It is capable of solving complex problems and taking action and can perform interactive tasks, operating outside the typical machine learning (ML) environment of a classic AI trained model to achieve true process automation. Lets suppose your business specializes in auto parts.

IT 52

IT Digital Transformation Interactive Data Science 52

datapine

MARCH 31, 2022

Try our modern software 14-days for free & experience the power of BI! One way you could start is by getting accepted for an internship working at a company with a dedicated analysis department that can teach you about DSS software. Your Chance: Want to start your business intelligence journey today? a) If You’re A Student.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

DECEMBER 23, 2019

Times have changed, though, and now open source code is an integral part of how most businesses and just about anyone in the software world does their work. From predictive analytics to vulnerability databases, businesses already have access to everything they need. Predicting Problems.

Software 76

Software Management Predictive Analytics Risk 76

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

Smart Data Collective

JANUARY 13, 2021

The Internet is one of the most significant facets of our lives to be touched by data analytics, machine learning and other forms of new data technology. Although the influence big data has had on software and other facets of the Internet are evident, they are still difficult to conceptualize for many people.

Big Data 121

Big Data Machine Learning Data-driven Manufacturing 121

DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model. See DataRobot AI Cloud in Action.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Smart Data Collective

SEPTEMBER 27, 2021

A trading terminal or ‘an electronic trading platform’ is computer software that allows traders to place orders and is a gateway to the markets. This wouldn’t have been possible without new machine learning advances predicated on data technology. Advanced Technology Trading Terminals.

Big Data 132

Big Data Technology Forecasting Machine Learning 132

Smart Data Collective

APRIL 20, 2023

AIs can do this by taking advantage of machine learning algorithms. And with proper BOM management software , maximizing the money you’ll spend on your factory’s materials can be much easier. Predictive Analytics Thanks to machine learning, an AI can perform predictive analytics.

Cost-Benefit 114

Cost-Benefit Predictive Analytics Optimization Machine Learning 114