Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The way that I explained it to my data science students years ago was like this. I brought them deeper into the world by pointing out how much more effective and efficient the data professionals’ life would be if our data repositories had a similar semantic meta-layer. What is a semantic layer? There’s more.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

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 65

Predictive Modeling Data-driven Data Science Forecasting 65

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Rocket-Powered Data Science

OCTOBER 6, 2023

In the world of data there are other types of nuanced applications of business analytics that are also actionable – perhaps these are not too different from predictive and prescriptive, but their significance, value, and implementation can be explained and justified differently. This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 87

IoT IT Manufacturing Internet of Things 87

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 79

Predictive Analytics Sales Enterprise Predictive Modeling 79

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? This post will dive deeper into the nuances of each field.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

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. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 66

B2B Interactive Optimization Forecasting 66

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

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 82

Advertising Data-driven Optimization Strategy 82

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 75

Unstructured Data Consulting Visualization IoT 75

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 94

Data Lake Digital Transformation Machine Learning Data Architecture 94

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

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 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. Figure 1: The main components of a model as defined by banking industry regulators.

Risk 111

Risk Modeling IT Risk Management 111

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 70

Marketing Management Optimization Cost-Benefit 70

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. For one, Python remains the leading language for data science research.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

datapine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

AUGUST 14, 2023

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 million in data breach costs and accelerated data breach identification and containment by over 100 days, on average.

Cost-Benefit 56

Cost-Benefit Machine Learning Consulting Data mining 56

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 69

Data Lake Data Governance Data Warehouse Modeling 69

Smart Data Collective

MAY 23, 2021

Using data science and artificial intelligence can be useful for this type of growth. Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. Data science. Data science covers a broad range of techniques, including statistics, design and development.

Data Science 99

Data Science Cost-Benefit Statistics Predictive Modeling 99

IBM Big Data Hub

JULY 5, 2023

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. Data management and storage requirements vary widely from country to country and are constantly evolving.

Strategy 53

Strategy Management IoT Cost-Benefit 53

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52