AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. versions).

Data Lake 95

Data Lake Unstructured Data Management Modeling 95

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 78

Big Data Data Analytics Analytics Internet of Things 78

DataKitchen

NOVEMBER 29, 2021

If data analytics is like a factory, the DataOps Engineer owns the assembly line used to build a data and analytic product. Most organizations run the data factory using manual labor. The Hub-Spoke architecture is part of a data enablement trend in IT. Rise of the DataOps Engineer.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Applied Analytics. How Machine Learning is Used.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

DECEMBER 20, 2023

virtual machines, databases, applications, microservices and nodes). Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Business acceleration : Harness the latest cloud technologies, such as generative AI and machine learning, to gain a competitive edge.

Strategy 105

Strategy Cost-Benefit Digital Transformation Optimization 105

AWS Big Data

FEBRUARY 22, 2023

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. Ruparupa has hired new personnel to join the data analytic team to explore new possibilities and new use cases.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

SEPTEMBER 29, 2023

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Amogh has received his master’s in Computer Science specializing in Machine Learning. xml and technique2.xml. Sheela Sonone is a Senior Resident Architect at AWS.

Metadata 70

Metadata Visualization Data-driven Optimization 70

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Kyle said: We empower data analysts to create more business value than any other BI platform.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smart Data Collective

MARCH 22, 2023

And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.

Big Data 92

Big Data Advertising Data-driven Data Science 92

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52