IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smart Data Collective

AUGUST 18, 2021

When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.

Data Science 136

Data Science Management Big Data Metrics 136

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 91

Data Science Statistics Data-driven Machine Learning 91

Smart Data Collective

JUNE 18, 2021

We have previously talked about the role of predictive analytics in helping solve crimes. However, big data has also led to some concerns with racial profiling and other biases. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 68

Predictive Analytics Forecasting Analytics Big Data 68

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

Smart Data Collective

NOVEMBER 18, 2020

Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. You should learn what a big data career looks like , which involves knowing the differences between different data processes. What is Data Science? Where to Use Data Science?

Data mining 143

Data mining Data Science Informatics Statistics 143

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 60

Machine Learning Data Science Statistics Deep Learning 60

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

NOVEMBER 14, 2019

The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. Is predictive analytics the key to sustainable growth in the gaming industry?

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

Smart Data Collective

JANUARY 17, 2020

Big Data has a lot of great uses in the work of consumer marketing. In fact, Big Data has many uses in helping patient lives in the world of healthcare. The market for big data in healthcare is growing 22% a year. From predicting risk factors to helping cure disease, Big Data in healthcare is multi-faceted.

Big Data 105

Big Data Insurance Risk Testing 105

IBM Big Data Hub

APRIL 25, 2019

Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. If you’re interested in learning how to get going, our publication, A business guide to modern predictive analytics, is great place to start.

Predictive Analytics 81

Predictive Analytics Analytics Data Science Risk 81

TDAN

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

Predictive Analytics 59

Predictive Analytics Analytics IT Business Intelligence 59

Smart Data Collective

APRIL 22, 2020

Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. Predicting Patient Treatment Outcomes.

Big Data 110

Big Data Machine Learning Risk Interactive 110

O'Reilly on Data

MAY 1, 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

Advertising 188

Advertising Machine Learning Predictive Analytics Data-driven 188

TDAN

AUGUST 18, 2020

Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Already, data scientists are making big leaps forward. Innovations can now win the future.

Experimentation 59

Experimentation Data Science Big Data Internet of Things 59

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

NOVEMBER 7, 2019

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention.

Predictive Analytics 47

Predictive Analytics Analytics Cost-Benefit Risk 47

Smart Data Collective

DECEMBER 21, 2022

Big data technology has become critical for modern life. A growing number of data scientists are being employed in various industries to help solve many challenges. The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. Ethical Hacker. Computer Support Specialist.

IT 111

IT Big Data Data Science Data-driven 111

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. Data Science Techniques.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

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 73

Data Science Predictive Modeling Predictive Analytics Modeling 73

Smart Data Collective

APRIL 2, 2023

Organizations are looking for consultants who are capable of coming up with custom in-house data science applications. Professionals who have already completed at least some training in the field, such as a data science course in Hyderabad or an apprenticeship in Silicon Valley, are poised to make a big splash in this field.

Broadcasting 96

Broadcasting Marketing Technology Predictive Analytics 96

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. Analytics Becomes Major Asset to Companies Across All Sectors.

Data Analytics 136

Data Analytics Analytics Big Data Key Performance Indicator 136

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

IBM Big Data Hub

JULY 25, 2018

Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges.

Data Science 54

Data Science Visualization Predictive Analytics Machine Learning 54

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the technologies and engineering components: e.g., sensors, monitoring, cloud-to-edge, microservices, serverless, insights-as-a-service APIs, IFTTT (IF-This-Then-That) architectures.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 5) Big Data Exploration. Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Industry 4.0 Examples: (1) Games. (2)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. Become a user tester for apps and websites.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

Smart Data Collective

JUNE 26, 2019

The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics. Towards Data Science has already stated that Big Data is already influencing a handful of industries and while the insurance industry isn’t on the list, it stands to benefit a lot from utilizing Big Data to spot trends.

Insurance 94

Insurance Data Analytics Analytics IoT 94

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

MARCH 31, 2022

BI developer skills encompass crafting and executing data-driven queries upon request as well as the ongoing technical development of a company’s BI platforms or solutions. Here is a more specific rundown of BI developer skills: Demonstrable experience in the areas of BI development or data science. Yes, they exist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JANUARY 14, 2021

Big data technology is becoming extremely important for project management in 2021. A growing number of companies are finding new ways to use data-driven tools to streamline various aspects of their projects, including editing workflows. We talked before about editing data science workflows. Here are some benefits.

Data-driven 70

Data-driven Big Data Machine Learning Technology 70