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? What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability along with AI & Machine Learning […].

Analytics 397

Analytics Machine Learning Data Science Publishing 397

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

Data Science 331

Data Science Data mining Machine Learning Publishing 331

Smart Data Collective

APRIL 21, 2022

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. Data analytics can help with the UX process. Leverage Machine Learning Technology.

Data Analytics 117

Data Analytics Analytics Big Data Machine Learning 117

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Moreover, data-driven technologies like AI have proven transformative in various domains, including finance.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Smart Data Collective

JUNE 7, 2021

Just as the internet revolutionized consumer commerce, data analytics has dramatically transformed the world of online education. The pivot to success lies in the use of data to form insights into institutions and their students. In this article, we analyze how the ed-tech majors are using data to power their missions.

Data Analytics 96

Data Analytics Analytics Big Data Metrics 96

Decision Management Solutions

JUNE 21, 2021

“Enterprises waste time and money on unactionable analytics. This quote from Forrester succinctly states why machine learning (ML) projects often never progress beyond the pilot stage—a common form of “purgatory” and a topic I presented recently at this year’s Machine Learning Week. Why many ML projects disappoint.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

Smart Data Collective

JULY 16, 2019

Machine learning is being used more extensively in email marketing. A couple months ago, Nathan Sykes of Curatti wrote an article on the benefits of machine learning and other big data tools for email marketing. But how many solutions can machine learning really offer?

Machine Learning 76

Machine Learning Marketing Big Data Metrics 76

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Decision Management Solutions

JUNE 30, 2021

“Enterprises waste time and money on unactionable analytics. This quote from Forrester succinctly states why machine learning (ML) projects often never progress beyond the pilot stage—a common form of “purgatory” and a topic I presented recently at this year’s Machine Learning Week. Why many ML projects disappoint.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Analytics Vidhya

JUNE 1, 2023

Introduction Cricket embraces data analytics for strategic advantage. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge.

Predictive Modeling 287

Predictive Modeling Modeling Statistics Optimization 287

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Data Virtualization

JANUARY 19, 2023

Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Smart Data Collective

JANUARY 26, 2022

Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 73

Data Analytics Analytics Predictive Analytics Insurance 73

DataKitchen

OCTOBER 28, 2021

This article was originally published in Forbes. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.” We have the tools to create data analytics workflows that address AI bias.

Testing 130

Testing IT Manufacturing Metrics 130

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 212

Big Data Technology Machine Learning Deep Learning 212

Analytics Vidhya

FEBRUARY 13, 2024

Introduction In the fast-paced world of technology, data science continues to be a driving force for innovation. As businesses increasingly rely on data-driven insights, the role of robust data science platforms becomes paramount. In this article, we explore the top 10 data science platforms of 2024.

Data Science 296

Data Science Data-driven Technology Analytics 296

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

JULY 13, 2020

More recently, with the addition of machine learning to identify patterns in data, analytics is proving scarily accurate at predicting future outcomes. To read this article in full, please click here

Analytics 145

Analytics Business Intelligence Machine Learning Measurement 145

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

Data Science 101

DECEMBER 20, 2019

Amazon Kinesis Data Analytics now supports Apache Flink 1.8 Kinesis Data Analytics is for analyzing streaming data. A conversation on Machine Learning with Amazon A very quick video on how to start a machine learning project. Daphne is a legend in data science. What is SandDance?

Data Science 81

Data Science Machine Learning Visualization Data Analytics 81

Rocket-Powered Data Science

AUGUST 22, 2021

CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources. Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics. Note: This article was sponsored. Five9CXSummit #CXNation.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

Business Over Broadway

MARCH 8, 2021

Using data from LinkedIn, the World Economic Forum’s 2020 Global Gender Gap Report shows women make up only 26% of professionals in Data and AI. I analyzed data from the 2020 Kaggle Machine Learning and Data Science survey in which they surveyed over 20,000 data professionals. Click image to enlarge.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The article goes on to share insights from experts at Gartner, PwC, John Deere, and Cloudera that shine a light on the critical role that data plays in scaling AI. . Data science needs analytics.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Engineering and EDA (Exploratory Data analytics) are the techniques. The post 20 Questions to Test Your Skills on Feature Engineering and EDA appeared first on Analytics Vidhya.

Testing 162

Testing Data Science Publishing Data Analytics 162

Smart Data Collective

SEPTEMBER 19, 2022

Big Data is the collection and processing of huge volumes of different data types, which financial institutions use to gain insights into their business processes and make key company decisions. The Role Of Big Data In Fintech. They will also use historical and real-time data to identify possible customer challenges.

Big Data 130

Big Data ROI Measurement Risk 130

Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

FEBRUARY 16, 2021

You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Warehouse to perform ETL operations. Cloudera Machine learning to train and serve machine learning and AI models.

Machine Learning 83

Machine Learning Data Lake Enterprise Data Warehouse 83

CIO Business Intelligence

AUGUST 2, 2022

Reyes accomplishments and success in the IT industry was acknowledged last year in an award-winning CIO.com article profiling Hispanic technology executives who have broken through barriers to rise to the top of the IT industry, paving a path for others to follow.

Data Quality 97

Data Quality Digital Transformation Machine Learning Predictive Analytics 97

Smart Data Collective

JANUARY 21, 2021

Many people don’t realize the countless benefits that big data has provided for the solar energy sector. A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. “This is where big data comes in. .

Big Data 131

Big Data Cost-Benefit Data-driven Machine Learning 131

Smarten

OCTOBER 25, 2023

Mobile BI enables work-from-home initiatives, and makes your business users more productive with collaborative features, data sharing, and support for Citizen Data Scientists as they learn data analytics, and begin to innovate and create reports, presentations and analytical approaches and share that information with other users. ‘If

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67