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 68

Predictive Modeling Data-driven Data Science Forecasting 68

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 104

Finance Forecasting IoT Predictive Modeling 104

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 129

Risk Management Risk Cost-Benefit Technology 129

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 64

Data Architecture Predictive Modeling Data Governance Data-driven 64

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 115

Machine Learning Data Architecture Uncertainty Data-driven 115

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 83

Predictive Analytics Sales Enterprise Predictive Modeling 83

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

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. When Does Your Business Plan to Adopt AI-Driven Strategies? percent. .

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

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. Forecasting with incomplete data.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

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. We use the models to create individual twins of assets which contain all the historical information accessible for current and future operation.

Unstructured Data 81

Unstructured Data Consulting Visualization IoT 81

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 142

Big Data Finance Risk Management Risk 142

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

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

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

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

IBM Big Data Hub

OCTOBER 5, 2022

The need to collaborate, share data and agree on definitions across organizational boundaries and systems. I also encourage you to join the IBM Business Analytics live stream event on October 25 th , to hear more case studies on how businesses have used Planning Analytics to accelerate data-driven business decision making.

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

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

O'Reilly on Data

MARCH 23, 2021

It is, however, driven by the incentives (both visible and hidden) of significant power structures, such as Big Tech companies. Lines of light ranged in the nonspace of the mind, clusters, and constellations of data. Unthinkable complexity. Like city lights, receding.” ” — Neuromancer, William Gibson (1984).

Internet Publishing and Broadcasting 317

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 317

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

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 56

Advertising Data-driven Optimization Strategy 56

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 75

Marketing Management Optimization Cost-Benefit 75

DataRobot

OCTOBER 19, 2021

At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

FEBRUARY 21, 2024

The integration of augmented analytics gave the Client a competitive advantage, and enabled the business to better leverage its data and to operate more efficiently, thereby increasing revenue and allowing the client to monitor their data and sales trends. Download the Case study

Analytics 62

Analytics Dashboards Data-driven Reporting 62

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

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 127

Advertising Machine Learning Software Measurement 127

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

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

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

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 119

Advertising Machine Learning Software Measurement 119

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

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

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 78

Data-driven Data Architecture Predictive Modeling Digital Transformation 78

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 98

Data Lake Digital Transformation Machine Learning Data Architecture 98