IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

Predictive Modeling 70

Predictive Modeling Data-driven Data Science Forecasting 70

CIO Business Intelligence

DECEMBER 11, 2023

It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. Going even further, some of the most progressive finance teams are incorporating sensor-based IoT data from plants, factories, and even trucking fleets to prioritize capital expenditures.

Finance 100

Finance Forecasting IoT Predictive Modeling 100

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. Addressing customer inquiries with an AI-driven chatbot ChatGPT distinguished itself as the first publicly accessible GenAI-powered virtual chatbot.

Predictive Analytics 85

Predictive Analytics Sales Enterprise Predictive Modeling 85

Smart Data Collective

JULY 24, 2023

AI’s primary value proposition lies in its ability to analyze large amounts of data quickly and accurately, providing actionable insights that humans might miss. This is especially important in VMS, where businesses must handle complex data from multiple vendors.

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Modernize data flows.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61

IBM Big Data Hub

MAY 6, 2024

Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. Diving deep into historical trial data with a protocol complexity rating also reveals golden insights, especially around patient-centric elements.

Advertising 57

Advertising Data-driven Optimization Strategy 57

DataRobot

NOVEMBER 24, 2021

Whatever its requirements, applying data-driven AI strategies can help. Putting sensors into all of its wind turbines enabled GE to stream operational data to the cloud. Improve Supply Chain Logistics by Making Better Predictions. Model production time dropped from two days to five minutes. percent. .

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

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. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 82

Unstructured Data Consulting Visualization IoT 82

Smarten

SEPTEMBER 28, 2022

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive Analytics Using External Data. Customer Targeting.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

Machine Learning 108

Machine Learning Data Architecture Uncertainty Data-driven 108

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

MARCH 12, 2020

Self-Serve Data Prep: You Can Have Data Agility AND Data Governance! When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP). IT staff and senior management may be concerned about losing control of data access and about data security.

Data Governance 67

Data Governance Predictive Modeling Data-driven Visualization 67

Sisense

FEBRUARY 25, 2021

Data accumulation doesn’t necessarily deliver value to your organization — the real worth is derived from what a business does with that information. One of the most important applications of data is using it to forecast the future. Data-driven forecasting decisions. Improving forecasting analytics with competing models.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

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. It is, however, driven by the incentives (both visible and hidden) of significant power structures, such as Big Tech companies.

Internet Publishing and Broadcasting 317

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 317

DataRobot

OCTOBER 19, 2021

DataRobot helped combat this problem head on by applying AI to evaluate and predict resource allocation and identify the most impacted communities from a national to county level. On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Juice Analytics

JULY 6, 2018

Putting data on a screen is easy. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard. Making it meaningful is so much harder.

Slice and Dice 83

Slice and Dice Predictive Modeling Visualization Data-driven 83

IBM Big Data Hub

MARCH 7, 2023

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. Years’ worth of aggregated data in the NICU could help lead us to a solution. million infant deaths annually.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Cloudera

AUGUST 4, 2021

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

Big Data 141

Big Data Finance Risk Management Risk 141

IBM Big Data Hub

MAY 16, 2023

These components come together to create end-to-end operations efficiency, experience optimization and data optimization. Customer experience Great customer experiences are built on data-driven insights. All this data can be fed back into the campaign’s execution to continually improve its effectiveness.

Marketing 76

Marketing Management Optimization Cost-Benefit 76

CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data Science 143

Data Science IT Machine Learning Data-driven 143

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers.

Data Lake 97

Data Lake Digital Transformation Machine Learning Data Architecture 97

Smarten

NOVEMBER 22, 2019

Why is Data Literacy Important? If you have attended technology conferences or read industry publications, you have probably heard the term ‘Data Literacy’. Data Literacy means that your team members have the ability to read, work with and understand, analyze, present and make decisions using data.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Sisense

MARCH 7, 2021

To get truly powerful insights, you need to pull in data from multiple sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth. Measuremen: Optimizing facilities use with data from numerous sources. Since those early days, Measuremen has broadened its data sources.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. For the mass of collected data that AI technology can process and use, the customer’s habits are known. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

DataRobot

MAY 25, 2021

At the beginning of the pandemic, DataRobot committed to fighting against COVID-19 from a data science perspective. As part of these efforts, we built accurate predictive models to determine the spread of the disease weeks and months in advance of a surge. ContagionNET was born out of the need to address these challenges.

Testing 52

Testing Predictive Modeling Data-driven Reporting 52

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! Consider the standard, restrictive concept of carefully gathering every piece of data, setting boundaries and giving requirements to IT or a data scientist and then waiting days or weeks to get a report. Consider the emergence of the brainstorming concept as an example.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smarten

NOVEMBER 8, 2022

Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

DataRobot Blog

AUGUST 10, 2022

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Decision Management Solutions

DECEMBER 8, 2020

Machine learning can improve operations, but only when its predictive models are deployed, integrated, and—most importantly—acted upon. CRISP-DM consists of six phases, and every one of those must be driven by a decision-centric approach. . After all, the end goal is to achieve better business outcomes.

Machine Learning 52

Machine Learning Data mining Predictive Modeling Data-driven 52

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. With data comes quality issues. Everything Changes.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52