Smart Data Collective

FEBRUARY 14, 2023

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

Predictive Analytics 132

Predictive Analytics Management Analytics Uncertainty 132

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

Smart Data Collective

AUGUST 24, 2022

Many Albanian bitcoin traders are relying more heavily on predictive analytics technology to make profitable trading decisions. Many traders in other countries are already benefiting from using predictive analytics , so Albanian investors should use it too. Predicting Asset Values Based on Geopolitical Events.

Predictive Analytics 132

Predictive Analytics Analytics Marketing Analytics Technologies 132

Smart Data Collective

AUGUST 30, 2020

Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. The features of predictive analytics are becoming more important as online security risks worsen.

Predictive Analytics 134

Predictive Analytics Analytics Analytics Technologies Risk 134

Smart Data Collective

NOVEMBER 13, 2020

Big data and predictive analytics can be very useful for these nonprofits as well. They are using predictive analytics to determine new strategies for fundraising and improved reach. Nonprofits Discover Countless Benefits of Data Analytics. Here are a few ways that trend is already affecting the nonprofit space.

Predictive Analytics 137

Predictive Analytics Analytics Machine Learning Strategy 137

Analytics Vidhya

JUNE 17, 2023

Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield.

Machine Learning 392

Machine Learning Predictive Analytics Analytics IT 392

Smart Data Collective

OCTOBER 13, 2020

They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020. This wouldn’t have been the case without growing advances in big data and predictive analytics capabilities.

Predictive Analytics 121

Predictive Analytics Analytics Forecasting Marketing 121

Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Investors taking advantage of predictive analytics could have more success choosing winning IPOs. This is one of the unique opportunities with IPOs.

Predictive Analytics 115

Predictive Analytics Forecasting Analytics Machine Learning 115

CIO Business Intelligence

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. Each of those were associated with blockers, real and perceived. “It

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

datapine

NOVEMBER 27, 2019

It requires understanding the relationship between data in the form of data preparation, visual analysis and guided advanced analytics. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. It will also be a year of collaborative BI and artificial intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 2, 2022

Real-time and predictive analytics is another hot technology for banks, with nearly 89% of survey respondents confirming that they are either in the planning, implementation or operational phases of using these technologies, the Forrester report shows. 5G aids customer service. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

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

JUNE 18, 2021

We have previously talked about the role of predictive analytics in helping solve crimes. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation. Predictive Analytics and Big Data Assists with Criminal Justice Reform.

Predictive Analytics 93

Predictive Analytics Forecasting Analytics Big Data 93

CIO Business Intelligence

NOVEMBER 4, 2024

This process involves connecting AI models with observable actions, leveraging data subsequently fed back into the system to complete the feedback loop,” Schumacher said. “The Most AI hype has focused on large language models (LLMs). And maybe most importantly, it can influence leadership.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. This article reflects some of what Ive learned.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

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

CIO Business Intelligence

NOVEMBER 18, 2024

Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building. It enables organizations to efficiently derive real-time insights for effective strategic decision-making. The faster data is processed, the quicker actionable insights can be generated.”

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

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

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’ That’s why your business needs predictive analytics.

Predictive Analytics 64

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 64

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. The post Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 appeared first on Cloudera Blog. Looking To The Future.

Machine Learning 95

Machine Learning Predictive Analytics Analytics Enterprise 95

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

For example, in demand planning, predictive analytics can be applied to use historical sales data, market trends and seasonal patterns to predict future demand with greater accuracy and reduced bias. The quality, quantity and ease of use of the data needed to train models is a determining factor.

Management 130

Management IT Sales Manufacturing 130

CIO Business Intelligence

JUNE 7, 2024

million bump in 2023, and the company predicts the analytics and machine learning platform’s contribution will increase to $8 million in 2024. As we iterated with Farseer, we’ve been able to make the model more accurate because the model is looking at the history and updates every day,” Reyes points out. “It

IT 128

IT Forecasting Machine Learning Modeling 128

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. One of the newest stars in the AI universe is Agentic AI. Lets suppose your business specializes in auto parts.

IT 52

IT Digital Transformation Interactive Data Science 52

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

CIO Business Intelligence

MARCH 30, 2022

The advent of digital technologies has had a major impact on the business, in both what services it delivers and how it delivers them, including IoT (internet of things) technologies and predictive maintenance capabilities. Have you changed your IT operating model to support the move from 13 business units to three sectors?

Modeling 98

Modeling IT IoT Internet of Things 98

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

NOVEMBER 24, 2019

One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. Big Data is the Key to Stronger Team Extension Models. Let’s dig deep and find out which model should we pick as a business owner.

Big Data 101

Big Data Modeling ROI Predictive Analytics 101

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Well, what if you do care about the difference between business intelligence and data analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. EUROGATE is a leading independent container terminal operator in Europe, known for its reliable and professional container handling services. This process is shown in the following figure.

IoT 100

IoT Machine Learning Metadata Data-driven 100

Smart Data Collective

DECEMBER 21, 2022

You can use big data to improve risk scoring models and use real-time analytics to stop threats. You can also use predictive analytics tools to identify threats before they occur, so you can create a more robust cybersecurity system. Big data technology has become critical for modern life. A Remote-friendly Career Path?

IT 128

IT Big Data Data Science Data-driven 128

CIO Business Intelligence

APRIL 22, 2024

But we took a step back and asked, ‘What if we put in the software we think is ideal, that integrates with other systems, and then automate from beginning to end, and have reporting in real-time and predictive analytics?’” Yet Peter J. If we were just starting a company, and we have all this tech, what would we do?’

IT 126

IT Data-driven Strategy Consulting 126

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 140

Machine Learning Forecasting Predictive Analytics Marketing 140

Rocket-Powered Data Science

MARCH 10, 2020

I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250