Cloudera

JUNE 27, 2023

Reducing cost with modern data architecture A recent report from McKinsey says that “Telcos’ success hinges on leveraging data and deploying advanced analytics, AI, and automation at scale to drive new growth and change the broader economics of the business.” Simplify, and where possible, automate governance.

Data Architecture 64

Data Architecture Predictive Modeling Data Governance Data-driven 64

Juice Analytics

MARCH 11, 2021

Take the Academic Insights data product we designed and built for US News and World Report as an example of finding this intersection. (1) I spoke to a credit card executive recently who mentioned how his bank spent huge sums of money on benchmarking reports. Predictive models to take descriptive data and attempt to tell the future.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

IBM Big Data Hub

MAY 1, 2023

The early versions of AI were capable of predictive modelling (e.g., The four categories of predictive modelling, robotics, speech and image recognition are collectively known as algorithm-based AI or Discriminative AI. It offers customers and the insurer’s system to interact in a human-like manner.

Insurance 76

Insurance Predictive Modeling Cost-Benefit Statistics 76

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 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

CIO Business Intelligence

APRIL 22, 2022

Knime: Knime is an open source data analytics, reporting, and integration platform. Apache Spark: This unified analytics engine is designed for processing large-scale data, with support for data cleansing, transformation, model building, and evaluation. It’s also handy for data scientists, working with smaller datasets.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

DataRobot

APRIL 27, 2021

With these technologies, business users can easily build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. DataRobot delivers powerful AI and automated machine learning to accelerate the model development, deployment , and monitoring of models at scale.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. They are used in everything from robotics to tools that reason and interact with humans. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model.

Risk 71

Risk Modeling Management Metadata 71

datapine

AUGUST 14, 2019

Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting. They might implement a MySQL report builder to relieve the IT department from carrying out SQL queries and, therefore, save enormous amounts of resources and create a cost-effective business environment.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

FineReport

APRIL 21, 2024

With its drag-and-drop interface for creating interactive dashboards and reports, Looker empowers businesses to make informed decisions based on real-time insights. Tableau’s AI tool, Einstein, can analyze data faster, plucking out useful insights while creating high-quality predictive models.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

O'Reilly on Data

MARCH 23, 2021

Content creators and content consumers are connected, share information, and develop mental models of the world, along with shared or distinct realities, based on the information they consume. Online spaces are novel forms of community: people who haven’t met and may never meet in real life interacting in cyberspace.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

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 Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. The bootcamps are designed and taught by industry practitioners and cover Python, algorithms, linear regression, machine learning, NLP, databases, interactive data visualization, and more.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

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

Cloudera

JULY 18, 2018

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. Actionable healthcare analytics that allows organizations to conduct real-time “what if scenarios” against predictive models.

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

Jet Global

APRIL 27, 2020

That’s because consumers can now interact with brands in more and more ways. Finance departments can access transparent, real-time reporting of financial results at regional and store levels. They can easily realize the makeup of Unit Cost Price calculations to improve profit margins or to adjust pricing models.

Finance 52

Finance Forecasting Sales Reporting 52

IBM Big Data Hub

AUGUST 14, 2023

To offer a more unified analyst experience, the QRadar suite integrates core security technologies for seamless workflows and shared insights, using threat intelligence reports for pattern recognition and threat visibility. Let’s take a closer look at QRadar EDR and QRadar SIEM to show how AI, ML and automation are used.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

Domino Data Lab

OCTOBER 7, 2020

The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%. This means models can always be found that predict group characteristic with high accuracy. There should be no model to accurately predict even and odd rows with random data.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Insight

AUGUST 5, 2020

While most of these signals are implicitly communicated during human-to-human interaction, we do not have a method for quantifying feeling and mood through individual behavioral signals expressed on the digital platform. Prediction models An Exploratory Data Analysis showed improved performance was dependent on gender and emotion.

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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

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. Let’s see it with an example. Imagine you own an online shoe store.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 246

Machine Learning Testing Modeling Cost-Benefit 246

CIO Business Intelligence

AUGUST 15, 2023

The scalable avatar can have hundreds of thousands of conversations individually and simultaneously, and is highly customizable and interactive in real-time, thereby providing an immersive experience for each user. For example, it can learn and use students’ names and provide personalized information.

IT 98

IT Manufacturing IoT Cost-Benefit 98

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. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

FineReport

MAY 13, 2020

The most distinct is its reporting capabilities. Because FineReport can be seamlessly integrated with any data source, it is convenient to import data from Excel in batches to empower historical data or generate MIS reports from various business systems. Dynamic reports. Query reports. Report Management .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. Experian sifts through hundreds of millions of records daily to serve both consumers and businesses with vital credit score, report, and credit comparisons.

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

FineReport

APRIL 24, 2024

Interactivity: Incorporating interactive features allows users to explore the data more deeply, gaining comprehensive insights from the visualizations. Moreover, interactive features in data visualization tools allow users to delve deeper into the data, exploring specific data points or segments with ease.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Cloudera

NOVEMBER 2, 2020

Ad hoc exploration and scheduled reports. It is very hard to maintain interactive performance, over large amounts of data that is arriving very fast, some of which might need updates, with a large number of queries of varying patterns. Fast ingest of streaming data, interactive queries, very high scale. General Purpose RTDW.

Data Warehouse 99

Data Warehouse Optimization Dashboards Interactive 99

AWS Big Data

JANUARY 25, 2023

Data analysis activities – The SikSin Food Service team experienced difficulties in regards to report generation due to scattered data across multiple systems. An Amazon Personalize job predicts for each line of input data (restaurants and restaurant articles) and produces ML-generated recommendations in the designated S3 output folder.

Visualization 78

Visualization Interactive Modeling Machine Learning 78

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You get a confusing little thing, but the visualization is interactive. The Treemap, Sunburst and Packedcircle demonstrate three possible paths you can take to go from a table to something much more understandable and much more interactive.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Broken models are definitely disruptive to analytics applications and business operations. ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157