AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers use Redshift ML to run an average of over 10 billion predictions a day within their data warehouses.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

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 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Smart Data Collective

APRIL 5, 2021

Data science is transforming the way web development and designs are created for more consumer satisfaction. With machine learning and artificial intelligence, web developmental updates can be done automatically, considering the data patterns and user flow. Advantages of Using Big Data for Web Design.

Big Data 137

Big Data Data-driven IT Sales 137

Cloudera

NOVEMBER 16, 2020

Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

Insurance 101

Insurance ROI Marketing Machine Learning 101

CIO Business Intelligence

DECEMBER 10, 2024

In addition, they can actively detect and safeguard the data, enabling rapid recovery in the event of an attack. Data governance: Data classification involves categorizing data based on its sensitivity, value, and regulatory requirements across multiple clouds.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

CIO Business Intelligence

DECEMBER 20, 2024

In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data. Modern data architectures use APIs to make it easy to expose and share data. AI and machine learning models. Real-time data enablement. Be decoupled and extensible.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

AUGUST 19, 2024

The company’s mission is to provide farmers with real-time insights derived from plant data, enabling them to optimize water usage, improve crop yields, and adapt to changing climatic conditions. Real-time data enables farmers to respond quickly to changing weather conditions, minimizing the impact of extreme events.

IoT 126

IoT Data-driven Data Enablement Optimization 126

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

AWS Big Data

JULY 29, 2024

Data lakes provide a unified repository for organizations to store and use large volumes of data. This enables more informed decision-making and innovative insights through various analytics and machine learning applications.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

IBM Big Data Hub

FEBRUARY 5, 2024

Using a hybrid AI or machine learning (ML) model, you can train it on enterprise and published data, including newly acquired assets and sites. Generate work instructions Field service technicians, maintenance planners and field performance supervisors comprise your front-line team.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

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 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

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 is Carrying Massive Changes for Healthcare Organizations.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

Smart Data Collective

FEBRUARY 25, 2021

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. Do you want your brand’s name to come to their mind first whenever they require a product or service that you’re offering?

Software 69

Software Machine Learning Data-driven Marketing 69

IBM Big Data Hub

DECEMBER 20, 2023

Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction. Developer productivity : Enable DevOps and other teams to collaborate with greater agility and velocity.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

Cloudera

JANUARY 13, 2021

To drive the vision of becoming a data-enabled organisation, UOB developed the EDAG (Enterprise Data Architecture and Governance) platform. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

IBM Big Data Hub

JANUARY 29, 2024

For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach. Able to analyze large data sets, predict trends and make informed decisions, AI’s role will be to transform mere automation into intelligent operation.

Data-driven 64

Data-driven Optimization Machine Learning Consulting 64

Cloudera

OCTOBER 19, 2023

This exponential growth in connected devices will force telcos to up their game, first by provisioning the capacity they need to scale and maintain next-gen 5G data networks, and later by improving the effectiveness of their data management and governance practices.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

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 121

Data Lake Unstructured Data Management Snapshot 121

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

Sisense

OCTOBER 6, 2020

It provides the raw material for information that is more varied and harder to organize than structured, qualitative data. Natural language processing (NLP), involving machine learning , is how your BI and analytics platform can understand the meaning of unstructured data such as emails, comments, feedback, and instant messages.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

Rocket-Powered Data Science

SEPTEMBER 18, 2018

The way that a data scientist resolves that degeneracy (another data science word) is to introduce more parameters (higher variety data) in order to “look at” those overlapping clusters from different angles and perspectives, thus resolving the different diagnosis clusters.

Big Data 103

Big Data Data Science Data Collection Measurement 103

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Sisense

DECEMBER 11, 2019

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. 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

Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 118

Data Analytics Analytics Data Warehouse Data Lake 118

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 71

Manufacturing Technology Internet of Things Cost-Benefit 71

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. 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.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

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 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

BI-Survey

FEBRUARY 14, 2022

Automate forecasts and projections with predictive methods (statistical methods or machine learning). Automated forecasts require comprehensive data of high quality to create meaningful projections. Only with decent automation can you calculate and update forecasts quickly enough and with little effort.

Forecasting 52

Forecasting Uncertainty Measurement Cost-Benefit 52

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. Adopt an approach of access segregation.

Data Governance 52

Data Governance Strategy Data Quality Data Collection 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 71

Metadata Visualization Data-driven Optimization 71