Smart Data Collective

MAY 30, 2022

Analytics technology has shaped many aspects of modern business. According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers.

Customer Analytics 130

Customer Analytics Management Analytics Data Processing 130

Smart Data Collective

JULY 27, 2022

Are you planning on running a startup that relies heavily on data analytics technology ? You can improve marketing strategies with big data , improve employee productivity, meet compliance targets and track trends more easily. This is a smart decision. They also cut expenses by an average of 10%.

Data-driven 138

Data-driven Manufacturing Big Data Testing 138

CIO Business Intelligence

MAY 16, 2022

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

CIO Business Intelligence

JUNE 2, 2022

Among those ranked in the 59 th edition of the TOP500 announced at the 2022 International Supercomputing Conference (ISC) in Hamburg, Germany, are standouts conducting powerful research in energy generation, cyber and physical threats, and astrophysics. Just starting out with analytics? Find out more about Intel advanced analytics.

Informatics 98

Informatics Modeling Deep Learning Testing 98

Smart Data Collective

JUNE 30, 2023

Managing personal finances is becoming more complex with various investment options, debt strategies, and budgeting tools. Eric Blue’s experience in the world of finance has given him a unique perspective on the challenges people face and the strategies they can employ to overcome these obstacles.

Insurance 113

Insurance Finance Cost-Benefit Strategy 113

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Gartner, Top 10 Data and Analytics Technology Trends That Will Change Your Business , Rita Sallam , Donald Feinberg , Mark Beyer , W.

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

CIO Business Intelligence

JANUARY 20, 2023

To adapt to this new “new normal,” organizations will need to reinforce their workforces with technologies that can keep pace. In 2022, the percentage of remote workdays in the US soared above the pre-pandemic levels of 5 percent to reach 30 percent. [1] Just starting out with analytics?

Technology 59

Technology Cost-Benefit Deep Learning Data-driven 59

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

CIO Business Intelligence

JUNE 1, 2022

On the topic of advances in storage, Dell Technologies recently announced updates to its storage portfolio , including the fastest-ramping architecture in the company’s 38-year history. All storage solution updates will become globally available in the third quarter of 2022. Just starting out with analytics? IT Leadership

Deep Learning 105

Deep Learning Snapshot Optimization Machine Learning 105

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. In the latest edition, released in 2022, the author added a summary chapter that encapsulates the content of the book in 50 points. 2) Designing Data-Intensive Applications by Martin Kleppman.

Big Data 263

Big Data Data Analytics Analytics Data mining 263