Flipboard

FEBRUARY 3, 2023

Over the last few years, with the rapid growth of data, pipeline, AI/ML, and analytics, DataOps has become a noteworthy piece of day-to-day business New-age technologies are almost entirely running the world today. Among these technologies, big data has gained significant traction. This concept is …

Big Data Analytics 180

Big Data Analytics Big Data Analytics Big Data Big Data 180

Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

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 Analytics 122

Big Data Analytics Big Data Analytics Big Data Big Data 122

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. billion by 2026. This is not all about numbers alone.

Big Data Analytics 140

Big Data Analytics Big Data Analytics Big Data Big Data 140

Flipboard

NOVEMBER 27, 2024

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated.

ETL 137

ETL Data Warehouse Analytics Analytics 137

Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is one example of a new technology that has changed the game. What is cloud analytics? How does cloud analytics work?

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data Analytics 101

Big Data Analytics Big Data Analytics Big Data Big Data 101

Flipboard

FEBRUARY 6, 2023

If data is the new gold, then today’s “gold” comes in the form of priceless insights into trends and customer behaviors for growth-seeking organizations. But possessing an abundance of data — though fortunate — remains problematic, at least for now. Most organizations have a tremendous amount of …

Big Data Analytics 155

Big Data Analytics Big Data Analytics Big Data Big Data 155

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. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

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Dataconomy

MAY 16, 2025

Advanced analytics has transformed the way organizations approach decision-making, unlocking deeper insights from their data. By integrating predictive modeling, machine learning, and data mining techniques, businesses can now uncover trends and patterns that were previously hidden. What is advanced analytics?

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Smart Data Collective

JULY 16, 2021

After reading through this post, you’ll have a better idea of how security analytics can benefit your business. Why Do You Need Security Analytics? Security analytics is a method that companies can use to keep themselves one step ahead of vulnerabilities. Several elements have contributed to the growth of security analytics.

Analytics 134

Analytics Analytics Big Data Big Data 134

Data Science Dojo

FEBRUARY 18, 2023

In the 1990s, machine learning and neural networks emerged as popular techniques, leading to breakthroughs in areas such as speech recognition, natural language processing, and image recognition. In the 1970s and 1980s, AI research shifted to knowledge-based systems and expert systems.

Natural Language Processing 243

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 243

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. It’s faster and more accurate.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. The market for data analytics in the insurance sector is projected to be worth nearly $22.5

Machine Learning 122

Machine Learning Machine Learning Big Data Big Data 122

Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Dataconomy

MARCH 11, 2025

Understanding this process is crucial for anyone delving into text analysis, machine learning, or artificial intelligence. Machine learning-based lemmatization: This approach employs models trained on large text datasets to identify patterns between words and their lemmas, accommodating varying word forms.

Natural Language Processing 91

Natural Language Processing Artificial Intelligence Artificial Intelligence Big Data Analytics 91

Flipboard

NOVEMBER 16, 2023

WASHINGTON — Classes on and insights into the fields of artificial intelligence, big-data analytics and wireless communications technologies are now …

Artificial Intelligence 170

Artificial Intelligence Artificial Intelligence Big Data Big Data 170

Flipboard

JUNE 18, 2023

Snowflake (NYSE:SNOW) originally built their cloud-based warehouse on AWS in 2014, then started to build their platform and applications to operate …

Machine Learning 123

Machine Learning Machine Learning Analytics Analytics 123

Flipboard

DECEMBER 3, 2023

Palantir Technologies (NASDAQ: PLTR) is an American software company that specializes in big data analytics and artificial intelligent (AI).

Big Data Analytics 152

Big Data Analytics Big Data Analytics Big Data Big Data 152

Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 115

Predictive Analytics Analytics Analytics Machine Learning 115

Smart Data Collective

SEPTEMBER 13, 2023

Welcome to 2023, the age where screens are more than mere displays; they’re interactive communication portals, awash with data and always hungry for more. When linked with Big Data and analytics, it turns into a powerful tool that businesses can wield for customer engagement, real-time advertising, and more.

Big Data 126

Big Data Big Data Analytics Analytics 126

Pickl AI

OCTOBER 29, 2024

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. This blog explores five compelling case studies that illustrate the practical applications of Data Science in real-world scenarios.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Dataversity

FEBRUARY 10, 2022

The post Using Big Data Analytics to Combat White-Collar Crime appeared first on DATAVERSITY. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […].

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Flipboard

DECEMBER 1, 2023

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

Predictive Analytics 160

Predictive Analytics Analytics Analytics Tableau 160

Data Science Dojo

JANUARY 12, 2023

What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services. Which one is right for your business?

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Flipboard

OCTOBER 25, 2023

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. Daniel Bruno is a Principal Resident Architect at AWS.

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Smart Data Collective

MARCH 18, 2020

The business services sector is expected to spend over $77 billion on big data in the near future. Salesforce recently created a new product called Einstein Analytics. This is a great tool for marketers to get the most value from their existing data. Salesforce Einstein is the Latest Breakthrough in Big Data Marketing.

Big Data 125

Big Data Big Data Analytics Analytics 125

Smart Data Collective

MARCH 30, 2022

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are.

Analytics 128

Analytics Analytics Big Data Big Data 128

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. For Select a data source , choose Athena.

Machine Learning 125

Machine Learning Machine Learning Data Governance ML 125

Flipboard

MARCH 24, 2023

Big-data analytics firm Databricks Inc. has emerged as an unlikely player in the generative artificial intelligence space, open-sourcing a new AI …

Big Data Analytics 123

Big Data Analytics Big Data Analytics Big Data Big Data 123

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. The scope of computer science extends to various subdomains and applications, such as machine learning, software engineering, and systems engineering. Finance : Enhances risk management and fraud detection.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. The scope of computer science extends to various subdomains and applications, such as machine learning, software engineering, and systems engineering. Finance : Enhances risk management and fraud detection.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Flipboard

AUGUST 29, 2023

Companies increasingly see the value in mining their data for deeper insights. of major worldwide organizations are focusing investments into big data and AI. But challenges stand in the way of executing big data analytics. According to a NewVantage survey, 97.6% One recent poll found that 65% …

Big Data Analytics 123

Big Data Analytics Big Data Analytics Big Data Big Data 123

Smart Data Collective

APRIL 8, 2020

Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales. There are several companies in the technological sphere making significant strides in advancing data warehousing technologies.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Centralised access enhances teamwork and accelerates analytics projects.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Data Science Dojo

JULY 6, 2023

Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It offers scalable storage and compute resources, enabling data engineers to process large datasets efficiently. It can handle both batch and real-time data processing tasks efficiently.

Data Engineering 195

Data Engineering Data Engineering Data Engineering Data Engineer 195