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.

Azure 103

Azure Machine Learning Machine Learning AWS 103

IBM Journey to AI blog

JUNE 5, 2024

Predictive analytics. Predictive analytics forecast future events based on historical data; AI and ML models—such as regression analysis , neural networks and decision trees —enhance the accuracy of these predictions. Predictive analytics are equally valuable for user insights.

Analytics 94

Analytics Analytics AI AI 94

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.

Big Data 106

Big Data Big Data ML ML 106

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.

AI 141

AI AI Machine Learning Machine Learning 141

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. They are developing predictive analytics tools with big data to prepare for threats before they surface. Big data is the lynchpin of new advances in cybersecurity.

Big Data 108

Big Data Big Data Machine Learning Machine Learning 108

Pickl AI

NOVEMBER 22, 2024

Supports predictive analytics to anticipate market trends and behaviours. Microsoft Power BI Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

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. Further Reading and Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 3, 2023

ODSC Keynote — Infuse Generative AI in your apps using Azure OpenAI Service Eve Psalti | Principal Group Program Manager | Microsoft Join this session to learn how Azure OpenAI Service can help your business integrate large language models to help create innovative applications. In the meantime, grab a quick sneak peek below.

Data Science 52

Data Science Azure Data Scientist Predictive Analytics 52

ODSC - Open Data Science

JUNE 29, 2023

Debugging Object Detection Models, 8 Trending LLMs, New AI Tools, and Generative AI as a Must-Have Skill Debug Object Detection Models with the Responsible AI Dashboard This blog will focus on the Azure Machine Learning Responsible AI Dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.

AI 52

AI AI Predictive Analytics Azure 52

Mlearning.ai

APRIL 3, 2023

Common Machine Learning Applications in AngularJS Development Some common machine learning applications in AngularJS development include code optimization, automated testing, predictive analytics, and personalization. Tools for Incorporating AI-Driven Machine Learning Solutions in AngularJS Development TensorFlow.js TensorFlow.js

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing AI 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.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

APRIL 21, 2025

Industries like finance, healthcare, retail, and technology leverage Big Data for real-time processing and storage, while Data Science delivers insights for predictive analytics, personalized services, and strategic planning. What Industries Benefit Most from Big Data and Data Science?

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Data Science Blog

FEBRUARY 4, 2023

In the era of Industry 4.0 , linking data from MES (Manufacturing Execution System) with that from ERP, CRM and PLM systems plays an important role in creating integrated monitoring and control of business processes.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

How to Learn Machine Learning

APRIL 26, 2025

Working largely with large-scale systems like Apache Spark, Kafka, and Hadoop, as well as cloud platforms such as AWS , Azure, or Google Cloud, data engineers ensure secure and large-scale movement of data across environments. So, they very often work with data engineers, analysts, and business partners to achieve that.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

SEPTEMBER 10, 2024

Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a robust platform integrating advanced AI models directly into Excel. This tool enables users to deploy Machine Learning models seamlessly, allowing Excel to perform sophisticated Data Analysis and predictions.

Power BI 52

Power BI Data Analysis Data Analysis AI 52

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

Machine Learning Machine Learning AI AI 52

Pickl AI

JUNE 18, 2024

This empowered users to go beyond basic visualizations and perform advanced analytics tailored to their specific needs. Furthermore, Power BI’s integration with Azure Machine Learning allows users to incorporate AI and machine learning capabilities into their reports and dashboards.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

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. Provisioning, scaling, and redundancy control are managed automatically.

Database 101

Database SQL Data Warehouse Machine Learning 101

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?”

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

MARCH 10, 2025

Impact: Democratizes access to advanced analytics for small and medium-sized enterprises. Scalability for Large Datasets Power BI can handle massive datasets efficiently using its in-memory analytics engine and Azure integration. Impact: Enables predictive analytics without requiring extensive technical expertise.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

Pickl AI

JANUARY 23, 2023

Making decisions based on detailed data requires the use of predictive analytics and mathematics. Azure ML Studio Azure ML Studio is a machine learning framework that helps developers to build different machine learning models as well as the APIs. Cons Not much used for deep learning. Pros It is cost effective.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 2, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

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

Data Science Data Scientist Machine Learning Machine Learning 52

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.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

The MLOps Blog

FEBRUARY 5, 2023

Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time. Predictive analytics: Streaming data can be used to train machine learning models in real-time, which can be used for predictive analytics and forecasting.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

IBM Journey to AI blog

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.

AI 90

AI AI Machine Learning Machine Learning 90

Pickl AI

OCTOBER 17, 2024

It offers interactive dashboards, real-time analytics, and an easy-to-use drag-and-drop functionality, allowing users to create rich visual reports without needing advanced technical skills. It also integrates machine learning algorithms to provide users with advanced analytics and forecasting capabilities.

Analytics 52

Analytics Analytics Power BI Tableau 52

Pickl AI

DECEMBER 16, 2024

Power BIs AI capabilities, such as natural language queries and predictive analytics , further enhance its utility. It handles data ingestion, transformation, storage, and advanced analytics within a unified platform. Custom Visualisations : Supports customisable visuals to suit specific business requirements.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

Pickl AI

JULY 12, 2024

Algorithms in ML identify patterns and make decisions, which is crucial for applications like predictive analytics and recommendation systems. Supervised Learning Algorithms In supervised learning , algorithms learn from labelled data to predict outcomes for unseen data points.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

NOVEMBER 18, 2024

Underfitting happens when a model is too simplistic and fails to capture the underlying patterns in the data, leading to poor predictions. Predictive analytics uses historical data to forecast future trends, such as stock market movements or customer churn. How Do I Choose the Right Machine Learning Model?

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

ODSC - Open Data Science

JANUARY 7, 2025

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Cloud Services Most major companies are using either Amazon Web Services (AWS) or Microsoft Azure, so excelling in one or the other will help any aspiring data scientist.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

DECEMBER 10, 2024

Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. Additionally, Oracle is integrating AI and machine learning into its platforms, allowing predictive analytics, anomaly detection, and autonomous system optimisation.

Database 52

Database Analytics Analytics Business Intelligence 52

Pickl AI

OCTOBER 16, 2024

Major players like Amazon RDS, Microsoft Azure SQL Database, and Google Cloud SQL are leading the charge, offering robust RDBMS capabilities in the cloud. Advanced analytics tools integrate with RDBMS to offer predictive analytics capabilities, helping businesses anticipate trends and behaviours.

Database 52

Database SQL Big Data Big Data 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. Any new business starts with the use of descriptive analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. Any new business starts with the use of descriptive analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

MARCH 21, 2023

Machine learning platform in healthcare There are mostly three areas of ML opportunities for healthcare, including computer vision, predictive analytics, and natural language processing. Let’s look at the healthcare vertical for context.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69