Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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

CIO Business Intelligence

MAY 9, 2024

To that end, CAIOs must break down silos and interact with a multitude of leaders in both lines of business and supporting functions, Daly says. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 137

Risk Management Risk Cost-Benefit Technology 137

Smarten

APRIL 25, 2024

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

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. Figure: Launch screen of the Flight Prediction AMP.

Visualization 89

Visualization Machine Learning Predictive Analytics Data-driven 89

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. The reward is clear — properly analyzed datasets result in better models, faster.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Smarten

JULY 26, 2022

The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs). “Users can analyze and interact with data with full visibility of dashboards, reports and other BI objects.”

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

CIO Business Intelligence

APRIL 22, 2022

For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models. Tableau: Now owned by Salesforce, Tableau is a data visualization tool. BigML: BigML is machine learning platform focused on simplifying the building and sharing of datasets and models.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system.

B2B 67

B2B Interactive Optimization Forecasting 67

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. Key Features of SaaS BI Tools When it comes to SaaS BI tools , one of the key features that sets them apart is their ability to provide real-time data access and visualization.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

OCTOBER 31, 2022

GeoMap support with interactive maps. Social BI tools for data sharing. Graphical Analysis and Cross-Tab Analytics for Intuitive reporting. What-If Analysis to test pricing, budget and cost information. Out-of-the-Box Mobile BI tools for access from anywhere. Personalized alerts. Real time and cached data management.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Assisted Predictive Modeling. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 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

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. The end-user is another factor to consider.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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. connecting data sources and predicting future outcomes. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

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. However, the growing influence of ML isn’t without complications.

Machine Learning 77

Machine Learning Modeling Deep Learning Predictive Modeling 77

AWS Big Data

JANUARY 25, 2023

SikSin deployed an ML model to produce personalized content recommendations by using the following AWS services: AWS Database Migration Service (AWS DMS) helps migrate databases to AWS quickly and securely with minimal downtime. These datasets are used to train ML models in bulk mode. This workflow is triggered based on a schedule.

Visualization 79

Visualization Interactive Modeling Machine Learning 79

FineReport

MAY 29, 2020

It is a part of BI features that allow you to extract and dynamically display data in the form of different types of visualizations such as charts and tables, so users can transform data into useful information and discover insights. . BI Reports can vary in their interactivity. The ‘data’ part is the statistics and data display. .

Reporting 94

Reporting OLAP Visualization Software 94

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. For example, it can learn and use students’ names and provide personalized information.

IT 96

IT Manufacturing IoT Cost-Benefit 96

CIO Business Intelligence

MAY 10, 2022

Gartner defines a CDP as “a marketing technology that unifies a company’s customer data from marketing and other channels to enable customer modeling and to optimize the timing and targeting of messages and offers.”. Salesforce Interaction Studio. It prioritizes speed over advanced segmentation and scalability. Segment CDP.

Advertising 111

Advertising Interactive Marketing Data Integration 111

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. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

The Data Visualisation Catalogue

APRIL 4, 2019

I’ve implemented DataView in my own work and find it an excellent way to organize investment information, do data discovery and create predictive models. Application #2: Creating and visualizing multi-variable relationships, which is particularly useful in creating predictive models.

Dashboards 73

Dashboards Predictive Modeling Visualization Modeling 73

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 Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

DECEMBER 3, 2023

It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management and deployment.’ ‘You As Springboard notes, ‘Augmented Analytics is an example of human machine interaction in the data science field.’ What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. It provides data scientists and BI executives with data mining, machine learning, and data visualization capabilities to build effective data pipelines. . From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Jet Global

MAY 9, 2024

For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately. Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

datapine

DECEMBER 4, 2019

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. This training program is about classic data visualization principles? advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40