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 64

B2B Interactive Optimization Forecasting 64

Cloudera

JUNE 27, 2023

Appliance-based models are usually significantly more expensive than disaggregated solutions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives. Simplify, and where possible, automate governance.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

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

OCTOBER 5, 2023

CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 121

Experimentation Strategy Machine Learning Interactive 121

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

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Smart Data Collective

JULY 24, 2023

Potential developments may include more sophisticated predictive models, greater automation, and increasingly personalized vendor interactions based on data-driven insights. As technology advances, we can expect VMS to become even more intelligent and efficient.

Management 88

Management Cost-Benefit Data-driven Predictive Analytics 88

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

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

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

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

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. BigML: BigML is machine learning platform focused on simplifying the building and sharing of datasets and models. js: This JavaScript library is used to make interactive visualizations in web browsers.

Data Science 138

Data Science Statistics Machine Learning Visualization 138

AWS Big Data

NOVEMBER 10, 2023

The business opportunity There are 19 predictive models in scope for utilizing 93 features built with AWS Glue across Capitec’s Retail Credit divisions. They emphasized the importance of utilizing decentralized and modular PySpark data pipelines for creating predictive model features.

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

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

DataRobot

MARCH 2, 2021

Every day, millions of people interact with AI systems, often without knowing it. With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them. Monitoring deployed models is easy because we provide features to check on service health, data drift, and accuracy.

Predictive Modeling 98

Predictive Modeling Risk Consulting Dashboards 98

O'Reilly on Data

MARCH 23, 2021

Before the advent of broadcast media and mass culture, individuals’ mental models of the world were generated locally, along with their sense of reality and what they considered ground truth. 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 319

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 319

Smarten

JUNE 8, 2022

Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. The cost of acquiring and interacting with customers is one a business must fund and, every time the business loses a customer (customer churn), it must spend more money to replace that customer.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

CIO Business Intelligence

OCTOBER 4, 2022

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. Putting data in the hands of the people that need it.

Machine Learning 100

Machine Learning Data Architecture Uncertainty Data-driven 100

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. The Impala connection object has different methods to interact with the CDW Impala Virtual Warehouse. This makes data science one of the most exciting fields to be in. import cml.data_v1 as cmldata.

Machine Learning 81

Machine Learning Predictive Modeling Data Science Testing 81

Business Over Broadway

SEPTEMBER 27, 2018

Figure 1 includes a good illustration of different data sets and how they fall along these two size-related dimensions (For the interested reader, check out the figure in an interactive graphic ). Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

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

Juice Analytics

MARCH 11, 2021

Predictive models to take descriptive data and attempt to tell the future. She crafts the interface and interactions to make the data intuitive. Front-end Application Developer The Front-end Application Developer's role is all about building interface elements, interactions, and data visualizations. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

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 72

Dashboards Predictive Modeling Visualization Modeling 72

FineReport

MAY 29, 2020

BI Reports can vary in their interactivity. Static reports cannot be changed by the end-users, while interactive reports allow you to navigate the report through various hierarchies and visualization elements. Interactive reports support drilling down or drilling through multiple data levels at the click of a mouse.

Reporting 94

Reporting OLAP Visualization Business Intelligence 94

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Naturally, the change in consumer behavior prompted media companies to change their business models. Anticipating Demand through Predictive Modelling on OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

FineReport

APRIL 21, 2024

However, SaaS BI tools address this challenge by offering user-friendly interfaces that simplify the process of data preparation, modeling, and analysis. Furthermore, these tools support advanced functionality such as predictive analytics and intelligent data alerts.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This model for data analytics has proven highly successful in basic biomedical research and clinical trials. The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

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

datapine

AUGUST 14, 2019

In fact, MySQL Workbench is a visual tool that provides “data modeling, SQL development, and administration tools for server configuration, backup, and much more,” according to the product listing at the MySQL website. It offers many statistics and machine learning functionalities such as predictive models for future forecasting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

AUGUST 14, 2023

This AI-powered approach can remediate both known and unknown endpoint threats with easy-to-use intelligent automation that requires little-to-no human interaction. It can determine root cause analysis and the orchestrate next steps based on the knowledge the models have trained on and built based on the threats your organization has faced.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

Sisense

JANUARY 26, 2020

Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization. They use predictive models to forecast revenues based on spending. They even incorporate trend data to improve accuracy over time.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

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. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

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

Cloudera

JULY 18, 2018

As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care. Actionable healthcare analytics that allows organizations to conduct real-time “what if scenarios” against predictive models.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

DMBS2

DECEMBER 12, 2017

Predictive modeling is a huge deal in customer-relationship apps. Voice interaction is already revolutionary in certain niches (e.g. They have access to lots of data for model training. Machine learning and AI have little relevance to most traditional transactional apps. smartphones — Siri et al.).

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

CIO Business Intelligence

APRIL 25, 2022

It culminates with a capstone project that requires creating a machine learning model. 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 Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145