Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 67

Digital Transformation Machine Learning Consulting IoT 67

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 88

Data Architecture Risk Management Risk Management 88

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . It keeps me going. .

Cost-Benefit 105

Cost-Benefit IoT Strategy ROI 105

datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Challenges of Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

FEBRUARY 6, 2023

To learn more about accelerating your Hadoop migrations to Amazon EMR and the HMDK CTO tool, refer to the Hadoop Migration Delivery Kit TCO GitHub repo , or reach out to AWS-HMDK@amazon.com. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

AWS Big Data

FEBRUARY 6, 2023

He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. George Zhao is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

JANUARY 30, 2023

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 86

IoT Data Architecture Data Lake Machine Learning 86

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 101

Data Architecture Data Integration IoT Strategy 101

Cloudera

NOVEMBER 25, 2021

Access to the same analytics and machine learning services in private cloud and AWS , enabling the movement of workloads and applications without refactoring. Connect: connecting multiple data sources to deliver a more complete understanding of a business and its customer and partner relationships. The Power of Two.

Machine Learning 93

Machine Learning IoT Risk ROI 93

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Its existing data architecture, however, wasn’t up for the gig.

Enterprise 78

Enterprise Cost-Benefit Data Warehouse Data Architecture 78

Alation

APRIL 14, 2022

Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

SEPTEMBER 6, 2023

The rising trend in today’s tech landscape is the use of streaming data and event-oriented structures. They are being applied in numerous ways, including monitoring website traffic, tracking industrial Internet of Things (IoT) devices, analyzing video game player behavior, and managing data for cutting-edge analytics systems.

Testing 98

Testing Metadata Cost-Benefit Management 98

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

JULY 20, 2021

Thousands of our customers across all industries are harnessing the power of their data in order to drive insights and innovation. Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. .

Manufacturing 109

Manufacturing Forecasting IoT Insurance 109

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. If you’ve democratized data within your company, we want to hear from you.

Machine Learning 58

Machine Learning Data Architecture IoT Metadata 58

FineReport

MARCH 31, 2024

Key Features: Integrated data architecture simplifies data preparation and analysis processes. In-chip data engine ensures swift processing, even with large datasets. Sisense streamlines data analysis through embedded IoT and machine learning, enabling rapid data-to-dashboard transformations.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52