O'Reilly on Data

MARCH 19, 2020

Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). As organizations adopt analytic technologies, they’re discovering more about themselves and their worlds.

Deep Learning 277

Deep Learning Machine Learning Data-driven Modeling 277

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. .

Informatics 98

Informatics Modeling Testing Technology 98

Smart Data Collective

NOVEMBER 14, 2019

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

Cloudera

SEPTEMBER 24, 2021

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Analytics 99

Analytics IoT Cost-Benefit Big Data 99

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 67

Predictive Analytics Forecasting Analytics Big Data 67

CIO Business Intelligence

JANUARY 4, 2023

Here are the shifts we noted: Delivery Models : Moving from an almost strictly on-premises systems approach (with some remote access services), HPC is embracing remote delivery models. Of course, data center challenges are also driving demand for these alternatives. Just starting out with analytics? IT Leadership.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

Smarten

NOVEMBER 3, 2022

Finance and Accounting Pros Improve Value with Integrated Tally ERP Analytics. Technology research firm Gartner states that, ‘40% of application development teams will be using automated data science and machine learning services to build models that add AI capabilities to their applications.’. ‘By

Analytics 52

Analytics Key Performance Indicator Finance Sales 52

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

Smart Data Collective

JANUARY 14, 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. Similar technology can be useful for improving overall workflows. Recognize potential problems.

Data-driven 68

Data-driven Big Data Machine Learning Technology 68

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. Best for : the new intern who has no idea what data science even means. The author, Anil Maheshwari, Ph.D.,

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Grooper

AUGUST 19, 2019

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

MARCH 9, 2022

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data Lake 117

Data Lake Unstructured Data Data Warehouse Data Quality 117

Smarten

DECEMBER 3, 2023

Solution Capabilities The best Augmented Analytics solutions provide a) sophisticated features, b) an easy-to-use user interface and navigation that is suitable for all team members, c) scalable technology and a high-performance environment that is easy to manage and upgrade. A reputable vendor will provide transparent pricing.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

Cloudera

OCTOBER 26, 2023

Data-driven insights help businesses get the jump on their competition, enabling them to predict trends in customer sentiment, build superior forecasting models, and expose market opportunities for competitive advantage. Are you more or less data-driven than they are?

Data-driven 80

Data-driven Predictive Analytics Forecasting Enterprise 80

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52