CIO

AUGUST 9, 2024

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

Artificial Inteligence 175

Artificial Inteligence Data Machine Learning Azure 175

Xebia

OCTOBER 24, 2024

Introduction In today’s data-driven world, business intelligence tools are indispensable for organizations aiming to make informed decisions. Publish Dashboard Pipeline This Azure DevOps pipeline can be triggered by dashboard authors. A Bash script utilizes Git commands to create a branch with the changes.

AWS 130

AWS Systems Review System Azure 130

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. We leveraged the lakehouse to understand the moment,” the CIO says.

Data 210

Data Technical Advisors Artificial Inteligence Technical Review 210

CIO

APRIL 8, 2024

The platform uses ball-tracking cameras and 3D radar systems to generate live on-court match data, which is fed into Azure and combined with live score data to reveal insights into serving patterns, returns, and player movements around the court. The ITF partnered with Microsoft in 2021 to power its match insights platform for the BJK Cup.

Sport 177

Sport Games Analytics Artificial Inteligence 177

CIO

JULY 24, 2023

At the core of LaLiga’s transformation is a data analysis platform called Mediacoach, which uses Azure infrastructure to collect, interpret, and showcase insights from approximately 3.5 million data points captured in near real-time per match. The AI advantage LaLiga Tech is leaning on AI and ML for a number of initiatives.

Artificial Inteligence 147

Artificial Inteligence Sport Artificial Intelligence Coaching 147

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. Organizations can quickly solve these business challenges by embracing Azure Synapse Analytics, a limitless analytics service that brings together enterprise DWH and big data analytics. Breaking Down Data Silos With Azure Synapse. Thu, 07/29/2021 - 05:30.

Azure 52

Azure Analytics Data Artificial Inteligence 52

CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Artificial intelligence (AI). Microsoft Azure. Business intelligence. Data warehouse. Data modeling.

Architecture 193

Architecture Enterprise Agile Artificial Inteligence 193

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. We’ll take a look at the data streaming, real-time processing, and the difference between traditional and streaming analysis with real-life examples of it. This article explains what streaming analytics are.

Analytics 20

Analytics Data IoT Analysis 20

Sunflower Lab

OCTOBER 2, 2023

With that confidence and capability, we continue to profess only the best practices in the business arena so that it would not only give an edge over your competitor but also puts you well ahead of everyone in the industry. Data Integration in Azure Synapse Various tools can be used to input data into Synapse.

Azure 40

Azure Analytics UI/UX Software Review 40

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 218

Budget Artificial Inteligence Technical Review VR 218

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

Sustainability 85

Sustainability Company Machine Learning Artificial Inteligence 85

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

Perficient

JUNE 30, 2023

In 2019, there were enhancements in Power BI where more powerful AI features were included, like AI visuals, Text analytics, the inclusion of Azure machine learning models, Image recognition, which plays an important role in advanced analytics, quicker insights from data models, an automatic Q&A system, and more.

Machine Learning 84

Machine Learning Artificial Inteligence Azure Analytics 84

CIO

DECEMBER 19, 2024

Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development. Government agencies and nonprofits are looking for data scientists and engineers to help with climate modeling and environmental impact analysis.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Zensar

OCTOBER 8, 2018

Video Indexer – It is built using Azure Media Analytics, cognitive services & Azure Search. Linguistic Analysis – An NLP tool for identifying the structure of text such as sentence separation, tokenization and parts of speech tagging. The post Future With Cognitive Services in Azure appeared first on.

Azure 40

Azure Video Machine Learning Artificial Inteligence 40

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. A Cloud Consultant’s education background includes IT or business administration, IT consulting experience and highly effective communication skills.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

DECEMBER 14, 2020

DW are central data storages used by companies for data analysis and reporting. If there’s the need to keep data in its raw native formats for further analysis, storage repositories called data lakes will be the way to go. Ease of search, analysis, and processing. The analysis methods are clear and easy-to-apply.

Data 93

Data Artificial Inteligence Storage Analytics 93

Datavail

JUNE 13, 2019

In particular, businesses that use cloud computing technologies like Amazon Web Services and Microsoft Azure are more likely to have a successful merger. This is largely because the business trend lines are clearly moving in that direction. This article will go over 4 reasons why the cloud and M&A should go hand-in-hand.

Cloud 75

Cloud Systems Review Technical Review Software Review 75

Altexsoft

FEBRUARY 11, 2023

machine learning and deep learning models; and business intelligence tools. The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

FEBRUARY 26, 2020

Choosing analytical software is no less challenging than data analysis itself. The market of business intelligence (BI) does give you a choice. Let’s have a look at Tableau BI platform, and explore why it’s considered one of the best options for data analysis. But the right choice is never in just one instrument.

Tools 116

Tools Analytics Mobile Enterprise 116

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Forecasting Financial Time Series with Deep Learning on Azure”. Text and Language processing and analysis. Thus, our surveys have shown that companies tend to apply machine learning and AI in areas where they have prior simpler use cases (business intelligence and analytics) that required data technologies to already be in place.

Big Data 85

Big Data Technology Tools Cloud 85

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. Instead, it focuses on backend processes, like data aggregation, analysis, and integration. If you’re new to this concept, don’t worry!

How To 52

How To Scalability Analytics Google Cloud 52

Altexsoft

MARCH 31, 2020

Transforming data to ensure it meets agreed formats for further uses, such as analysis. Since the main users are business professionals, a common use case for data warehouses is business intelligence. Data lakes – storages for raw, both relational and non-relational data (Microsoft Azure, IBM).

Data 76

Data Storage Analytics Data Center 76

Invid Group

AUGUST 28, 2024

AWS, Azure, and Google provide fully managed platforms, tools, training, and certifications to prototype and deploy AI solutions at scale. For instance, AWS Sagemaker, AWS Bedrock, Azure AI Search, Azure Open AI, and Google Vertex AI [3,4,5,6,7].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Perficient

APRIL 2, 2023

With Alteryx, you can quickly and easily transform raw data into clean, structured data that’s ready for analysis. Alteryx supports a wide range of data sources and formats, including Excel, CSV, databases, and cloud platforms like Amazon Web Services and Microsoft Azure.

Analytics 64

Analytics Artificial Inteligence Data Artificial Intelligence 64

Altexsoft

OCTOBER 2, 2020

We need data integration and interoperability to achieve connectivity between systems and consolidate content from disparate places into a single dataset to use for analysis and reporting. Without this part, it’s impossible to obtain accurate analytical results and extract valuable business insights.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. Raw data store section. Transformation section.

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. Visit this link for details on Fabric Notebook: [link] PySpark: Apache Spark is an in-memory engine for analysis of bigdata. Fabric brings all the required services into a single platform.

Data 64

Data Azure Case Study Data Engineering 64

Sunflower Lab

APRIL 2, 2024

However, traditional Business Intelligence (BI) tools can have difficulty handling modern industrial data complexities. The key is Power BI’s smooth connection with Artificial Intelligence (AI) and Machine Learning (ML) capabilities. Think of Azure Machine Learning as a powerful AI workbench. What makes it special?

Artificial Inteligence 40

Artificial Inteligence Company Machine Learning Generative AI 40

Mobilunity

DECEMBER 9, 2024

Understanding the role of an AI engineer It takes a lot to become a well-grounded expert in the artificial intelligence area. Microsoft Certified: Azure AI Engineer Associate is a perfect fit for engineers who want to focus on AI development with Microsofts Azure platform.

Artificial Inteligence 52

Artificial Inteligence Engineering Machine Learning Artificial Intelligence 52

Datavail

MARCH 11, 2021

Microsoft’s Power BI is one of the world’s most popular and widely used tools for business intelligence and analytics. Gateways can also connect on-premises data with other Microsoft cloud services such as Power Apps, Power Automate, Azure Analysis Services, and Azure Logic Apps.

Performance 52

Performance Azure Windows Analytics 52

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Friction associated with getting a data sandbox has also resulted in the proliferation of spreadmarts , unmanaged data marts, or other data extracts used for siloed data analysis. When the analysis is finished, the cluster can be destroyed.

Cloud 44

Cloud Data Storage Analytics 44

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Oracle Specialized Partner for Business Intelligence.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. The expert notes that the process includes a “virtuous cycle” that’s about ongoing observation, analysis, and improvement of information. Source: Business Intelligence.

Tools 16

Tools Data Technical Advisors Technical Review 16