Dataconomy

FEBRUARY 19, 2025

Amazon AI is a comprehensive suite of artificial intelligence services provided by Amazon Web Services (AWS) that enables developers to build, train, and deploy machine learning and deep learning models. What is Amazon AI? What is Amazon AI?

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. To enhance the customer experience, Vidmob decided to partner with AWS GenAIIC to deliver these insights more quickly and automatically.

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AWS Machine Learning Blog

JANUARY 30, 2025

Discover and its transactional and batch applications are deployed and scaled on a Kubernetes on AWS cluster to optimize performance, user experience, and portability. The features are stored in Amazon S3 and encrypted with AWS Key Management Service (AWS KMS) for downstream use.

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AWS Machine Learning Blog

FEBRUARY 6, 2025

Measures Assistant is a microservice deployed in a Kubernetes on AWS environment and accessed through a REST API. Conclusion In this post, we covered how Aetion uses AWS services to streamline the users path from defining scientific intent to running a study and obtaining results.

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AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. Dialog Axiata runs some of their business-critical telecom workloads on AWS, including Charging Gateway, Payment Gateway, Campaign Management System, SuperApp, and various analytics tasks.

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AWS Machine Learning Blog

MAY 4, 2023

This post describes how to deploy recurring Forecast workloads (time series forecasting workloads) with no code using AWS CloudFormation , AWS Step Functions , and AWS Systems Manager. The console and AWS CLI methods are best suited for quick experimentation to check the feasibility of time series forecasting using your data.

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AWS Machine Learning Blog

DECEMBER 15, 2023

In this post, we discuss how to bring data stored in Amazon DocumentDB into SageMaker Canvas and use that data to build ML models for predictive analytics. For more information on how to configure an Amazon DocumentDB connection, see the Connect to a database stored in AWS. Pratik Das is a Product Manager at AWS.

Machine Learning 118

Machine Learning Machine Learning AWS ML 118

Tableau

NOVEMBER 24, 2019

To help customers unlock the power and flexibility of self-service analytics in the cloud, we’re continuously investing in our Modern Cloud Analytics initiative, which we announced at Tableau Conference in 2019. What is Modern Cloud Analytics? Core product integration and connectivity between Tableau and AWS.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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AWS Machine Learning Blog

AUGUST 15, 2024

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. Solutions Architect at AWS. He works closely with enterprise customers building data lakes and analytical applications on the AWS platform.

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Data Science Blog

NOVEMBER 15, 2023

on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Click to enlarge! Central data models in a cloud-based Data Mesh Architecture (e.g.

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Dataconomy

JANUARY 24, 2024

Their AI services encompass machine learning, predictive analytics, chatbots, and cognitive computing. Since its inception in 2009, KMS Technology has remained committed to delivering top-notch services in AI, data analytics, and software development.

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AWS Machine Learning Blog

OCTOBER 3, 2024

Paycor is an example of the many world-leading enterprise people analytics companies that trust and use the Visier platform to process large volumes of data to generate informative analytics and actionable predictive insights. About the authors Kinman Lam is a Solution Architect at AWS.

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Dataconomy

JULY 11, 2024

AI and machine learning integration AI in mobile apps Artificial Intelligence (AI) is transforming mobile apps by enabling personalization, predictive analytics, and enhanced user experiences. Cloud platforms like AWS, Google Cloud, and Microsoft Azure provide tools and services that simplify app development and deployment.

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AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. Your field engineers and operators can directly use the app to diagnose and plan maintenance for industrial assets.

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IBM Journey to AI blog

AUGUST 12, 2024

AIOps processes harness big data to facilitate predictive analytics , automate responses and insight generation and ultimately, optimize the performance of enterprise IT environments. Primary activities AIOps relies on big data-driven analytics , ML algorithms and other AI-driven techniques to continuously track and analyze ITOps data.

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Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Global companies spent over $328 billion on AI last year. The automotive industry is among those investing in AI the most.

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Dataconomy

FEBRUARY 6, 2024

Image credit ) Cloud pricing optimization AI tools help these companies analyze how they use the cloud, predict costs more accurately, spot unusual usage patterns, find ways to save money, and suggest more affordable resources to use. Besides, the company is to charge $US30 a month for its Generative AI features.

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Pickl AI

DECEMBER 26, 2024

Additionally, it integrates seamlessly with Amazon Web Services (AWS), offering flexibility and accessibility to global users. Advanced orchestration frameworks, such as AWS SageMaker or similar solutions, streamline model deployment and resource management, reducing overhead for developers.

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Pickl AI

NOVEMBER 18, 2024

Advanced tools like AWS QuickSight support large datasets and growing businesses. Zoho Analytics Zoho Analytics is a cloud-based BI solution that offers advanced features like AI-powered insights, predictive analytics, and an easy-to-use interface. What is Power BI?

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Pickl AI

OCTOBER 10, 2024

Limitations High Cost for Advanced Features: While the basic version is affordable, advanced features like Predictive Analytics are more expensive. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services. It integrates seamlessly with other AWS services like Amazon S3, Redshift, and Athena.

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Data Quality AWS Machine Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure. Saturn Cloud is picking up a lot of momentum lately too thanks to its scalability.

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ODSC - Open Data Science

JUNE 29, 2023

3 Best Benefits of AI-Powered Predictive Analytics for Marketing Here, we explore the top three benefits of AI-powered predictive analytics that works wonder for marketing. Take a deep dive into the theory underpinning and applications of generative AI at our first-ever Generative AI Summit on July 20th.

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IBM Journey to AI blog

JULY 17, 2023

.” Das Kamhout, VP and Senior Principal Engineer of the Cloud and Enterprise Solutions Group at Intel Watsonx.data supports our customers’ increasing needs around hybrid cloud deployments and is available on premises and across multiple cloud providers, including IBM Cloud and Amazon Web Services (AWS).

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Smart Data Collective

MARCH 21, 2022

Most recently, JP Morgan built a ‘Mesh’ on AWS and locked its scalability fortune on a decentralized architecture. More case studies are added every day and give a clear hint – data analytics are all set to change, again! In the early days, organizations used a central data warehouse to drive their data analytics.

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DagsHub

JULY 25, 2024

Notable Use Cases in the Industry Keras is widely used in industry and academia for various applications, including image and text classification, object detection, and time-series prediction. Companies like Netflix and Uber use Keras for recommendation systems and predictive analytics.

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Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. ” Predictive Analytics (Machine Learning): This uses historical data to predict future outcomes. ” or “What are our customer demographics?”

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IBM Journey to AI blog

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Overall, it is easier to deploy.

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Pickl AI

SEPTEMBER 18, 2024

It utilises Amazon Web Services (AWS) as its main data lake, processing over 550 billion events daily—equivalent to approximately 1.3 Future strategies may involve deeper integration of AI technologies for predictive analytics or enhancing real-time decision-making capabilities across all business verticals. petabytes of data.

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Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Computer Vision : Models for image recognition, object detection, and video analytics.

Machine Learning 52

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ODSC - Open Data Science

MARCH 28, 2023

For example, Apple tries to balance many simple predictive analytics solutions (spreadsheets and regression) with a handful of moonshot ideas. Similarly in data science, data labeling tools and workflows are increasingly low-code and can be purchased directly from big cloud vendors , like AWS. From there, you write the code.

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IBM Journey to AI blog

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. Data warehouses are a critical component of any organization’s technology ecosystem.

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Pickl AI

DECEMBER 4, 2024

According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes. For example: In finance, predictive analytics helps institutions assess risks and identify investment opportunities. In healthcare, patient outcome predictions enable proactive treatment plans.

Data Science 52

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IBM Journey to AI blog

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Dr. Arsanjani has over 20 years of experience in AI/ML, analytics, cloud computing, and software engineering.

Machine Learning 52

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Dr. Arsanjani has over 20 years of experience in AI/ML, analytics, cloud computing, and software engineering.

Machine Learning 52

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