O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. Without big data in predictive analytics, these descriptive models can’t offer a competitive advantage or negotiate future outcomes.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

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 111

Data Analytics Analytics Big Data Advertising 111

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

JUNE 18, 2019

Schema matching and mapping, record linkage and deduplication, and various mastering activities are the types of tasks a data integration solution performs. Advances in ML offer a scalable and efficient way to replace legacy top-down, rule-based systems, which often result in massive costs and very low success in today’s big data settings.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

JULY 10, 2019

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future.

Big Data 95

Big Data Measurement Predictive Modeling Manufacturing 95

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

CIO Business Intelligence

APRIL 22, 2022

For more details on data science bootcamps, see “ 15 best data science bootcamps for boosting your career.”. Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smart Data Collective

SEPTEMBER 26, 2021

Working with massive structured and unstructured data sets can turn out to be complicated. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. So, let’s have a close look at some of the best strategies to work with large data sets.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Smart Data Collective

APRIL 21, 2022

This explains the growing number of solar companies turning to big data. Since there is enough historical data, the energy companies can apply analytical and predictive models to calculate power generation rates under certain weather conditions. Measuring the total power output of the farm is not the only issue.

IoT 126

IoT Internet of Things Forecasting Predictive Modeling 126

CIO Business Intelligence

JUNE 7, 2022

Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics vs. business analytics. Business analytics is another subset of data analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

SEPTEMBER 10, 2024

In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry. We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry.

IT 122

IT Risk Risk Management Predictive Modeling 122

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

APRIL 25, 2022

Data Science Dojo. Data Science Dojo is one of the shortest programs on this list, but in just five days, Data Science Dojo promises to train attendees on machine learning and predictive models as a service, and each student will complete a full IoT project and have the chance to enter a Kaggle competition.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Analytics Vidhya

APRIL 25, 2023

Introduction Since India gained independence, we have always emphasized the importance of elections to make decisions. Seventeen Lok Sabha Elections and over four hundred state legislative assembly elections have been held in India. Earlier, political campaigns used to be conducted through rallies, public speeches, and door-to-door canvassing.

Analytics 307

Analytics Predictive Modeling Big Data Modeling 307

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. All models are not made equal. At this stage, data scientists begin writing code for computation and model-building.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

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. 105, -17) or even “Python” (No.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

Smart Data Collective

SEPTEMBER 19, 2019

Big data is very useful in assisting these people. They use various predictive models to enhance the user experience. Thus, it comes as no surprise that the Text-to-Speech (TTS) technology is also rapidly becoming popular. There are other elements of speech synthetization technology that rely on machine learning.

Machine Learning 105

Machine Learning Technology Deep Learning Predictive Modeling 105

Smart Data Collective

SEPTEMBER 30, 2021

One such example of AI being used for prediction of high impact weather events is the Gradient Boosted Regression Trees (GBRT) algorithm, in which it was found that in 75% of cases, AI-based forecast was chosen over human intuition by professional forecasters. Wildlife Conservation. In particular, the AI system proposed by Mo et al.,

Machine Learning 134

Machine Learning Cost-Benefit Optimization Forecasting 134

CIO Business Intelligence

JUNE 22, 2022

The possibilities of data in motion are endless and will be explored in our upcoming webinar with Cloudera APAC Field CTO Daniel Hand , Are You Ready for the Future of Data in Motion? . Explore how your organisation’s data can convert into better business outcomes by signing up for our webinar here. .

IoT 98

IoT IT Manufacturing Internet of Things 98

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. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

IBM Big Data Hub

MAY 10, 2019

Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis.

Data Science 72

Data Science Predictive Modeling Predictive Analytics Modeling 72

CIO Business Intelligence

OCTOBER 13, 2023

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

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.

Risk 111

Risk Modeling IT Risk Management 111

BizAcuity

MARCH 18, 2019

Predictive analytics continues to gain popularity, and research proves that there is a gradual move toward credit scoring strategies developed using data mining and predictive analytics.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

DataRobot

AUGUST 15, 2019

To really know their customers, Pepper Spain relies on data science and predictive modeling, but without a big data science team, they turned to DataRobot’s automated machine learning solution:

Machine Learning 9

Machine Learning Finance Optimization Predictive Modeling 9

Smart Data Collective

MAY 23, 2021

Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. While this can be classed as data science, one difference is that data science tends to use a predictive model to make its analysis, while AI can be capable of analyzing based on learned knowledge and facts.

Data Science 118

Data Science Cost-Benefit Statistics Predictive Modeling 118

AWS Big Data

NOVEMBER 10, 2023

As a result of utilizing the Amazon Redshift integration for Apache Spark, developer productivity increased by a factor of 10, feature generation pipelines were streamlined, and data duplication reduced to zero. They emphasized the importance of utilizing decentralized and modular PySpark data pipelines for creating predictive model features.

Data Processing 111

Data Processing Data Lake Data Warehouse Optimization 111

Sisense

MARCH 27, 2019

This includes the ability to perform ad-hoc analysis on existing data or creating visualizations specific to new streams. Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. Who Uses Real-Time BI?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74