Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. 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.

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist! Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

OCTOBER 25, 2023

Among the top considerations: Self-Service BI Collaborative Features Mobile BI Data Visualization Citizen Data Scientist Support Augmented Analytics If you are looking for the right BI tools or augmented analytics and data discovery solution, be sure to consider the mobility of the solution, and its ease-of-use and ease-of-access.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Consider some of the examples of use cases from our clients in the industry: Visual insights. appeared first on IBM Blog.

Unstructured Data 74

Unstructured Data Consulting Visualization IoT 74

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.’ Access to Flexible, Intuitive Predictive Modeling. Analyze the Model with Visualization and Interpretation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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. The ML app helps your system to learn the expected behavior of the users in your network.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

Smarten

JUNE 10, 2022

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. Assisted Predictive Modeling. Smart Data Visualization. Auto Insights.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Capture, Consolidate, Visualize. Budget available resources and investments.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Sisense

APRIL 10, 2020

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. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

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

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

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 74

Machine Learning Modeling Deep Learning Predictive Modeling 74

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Capture, Consolidate, Visualize. Budget available resources and investments.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

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 Visualization Layer. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

IBM Big Data Hub

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum.  The applications of AI in commerce are vast and varied.

B2B 65

B2B Interactive Optimization Forecasting 65

Smarten

FEBRUARY 17, 2022

By removing the complexity and the need for IT or data scientist support, the organization can ensure that the users will have tools they can leverage on a daily basis, and will WANT to use these tools to accomplish their goals.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JUNE 17, 2022

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Jedox

JULY 23, 2019

If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Smarten

APRIL 19, 2024

Today’s AI models have not reached their true potential and, as these models and products evolve, businesses will undoubtedly embrace the tools to enable productivity, optimize business results and resources and design and implement targeted approaches to personalize outreach to customers, patients, students, and others.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

DECEMBER 3, 2023

So, what does all this mean to your business? Why is augmented analytics an important factor in your success?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. Data exploration is a very important step before jumping onto the machine learning wagon. The purpose of Data Exploration. Data in Context.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. For the purposes of this blog, we will be creating a new notebook from scratch on the DataRobot platform. 42% of data scientists are solo practitioners or on teams of five or fewer people.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. On the other side of things, BA is more technical.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Producing insights from raw data is a time-consuming process.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

DataRobot Blog

DECEMBER 1, 2022

You may learn that customers who were grouped together using a traditional approach to market segmenting look very different after a machine learning assisted analysis. For example, you could set up a data pipeline that delivers DataRobot predictions to HubSpot to automatically initiate offers within the business rules you set.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Alation

APRIL 14, 2022

Visual Profiling. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. AI/ML models pose a problem with versioning results and testing using unique testing and algorithms. Subscribe to Alation's Blog. Parametrization. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Sisense

SEPTEMBER 25, 2020

No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Interpreting better results: Statistical techniques allow users to make predictions for unseen data, more easily improving the accuracy of output and results.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Cloudera

NOVEMBER 2, 2020

for active archive or joining live data with historical data), or machine learning. alert when threshold exceeded over a rolling window of statistics on the data, score the event data against a predictive model to decide which action to take next). Tool for visualizing, dashboarding, and report building.

Data Warehouse 99

Data Warehouse Optimization Dashboards Interactive 99

Darkhorse

JULY 6, 2017

Let’s further pretend you’re starting out with the aim of doing a big predictive modeling thing using machine learning. Proceed visually. Did you forget this whole endeavor was about building a predictive machine learning model? SUBSCRIBE TO OUR BLOG. So what is data wrangling?

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. And it’s easy to check the accuracy of our model with the actual data.

Visualization 93

Visualization Machine Learning Predictive Analytics Data-driven 93

Smarten

MARCH 5, 2024

Augmented Analytics tools that are designed for business users should provide a foundation of machine learning and natural language processing (NLP) so search analytics is as easy as asking a question in a Google-type interface, with features like Smart Data Visualization, Assisted Predictive Modeling and Self-Serve Data Preparation.

Predictive Modeling 62

Predictive Modeling Consulting Machine Learning Visualization 62

Smarten

MARCH 13, 2024

Self-Serve Data Preparation Assisted Predictive Modeling Smart Data Visualization Machine Learning and Natural Language Processing (NLP) Clickless Search Analytics EXPECTATIONS AND RESULTS Once you have chosen the right augmented analytics solution, you must establish appropriate expectations.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52