TechCrunch

DECEMBER 10, 2021

In December of 2016, Monika and I established two sister companies: Solwey Consulting , focused on technology strategy and execution, UX/UI design and business intelligence; and Callentis Consulting Group , a research and development business focused on translational research and technology transfer from academia to industry practice.

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. First, they adopt a data warehouse to centralize all current and historical data under the same roof.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. With today’s announcements, SAP is building on that vision.

Artificial Inteligence 194

Artificial Inteligence Generative AI Government Architecture 194

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands.

Generative AI 87

Generative AI Artificial Inteligence Metrics AWS 87

CIO

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Develop business-specific analytics platform. Assemble the data team.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Data Mesh: A type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-oriented, self-serve design.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

CIO

MARCH 8, 2023

As companies digitally transform and steer toward becoming data-driven businesses, there is a need for increased computing horsepower to manage and extract business intelligence and drive data-intensive workloads at scale. The challenge: making complex compute-intensive technology accessible for mainstream use.

Performance 148

Performance Artificial Inteligence Storage Systems Review 148

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. And they have always had a large community of developers and users.

Big Data 107

Big Data Business Analytics Company Analytics 107

O'Reilly Media - Data

JULY 23, 2018

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.

Machine Learning 182

Machine Learning Artificial Inteligence How To Case Study 182

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. Key features of Node.js

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. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

CIO

MARCH 24, 2023

Varonis Data Governance Suite Varonis’s solution automates data protection and management tasks leveraging a scalable Metadata Framework that enables organizations to manage data access, view audit trails of every file and email event, identify data ownership across different business units, and find and classify sensitive data and documents.

Government 214

Government Data Technical Review Policies 214

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

AWS Machine Learning - AI

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

CIO

SEPTEMBER 23, 2022

The first step is to perform a holistic risk assessment across the IT estate to understand where risk exists and to identify and prioritize the most critical systems based on business intelligence. Enable the business to take risk; don’t prevent them from being efficient,” he advises. Remember that preparation is everything.

Security 134

Security Backup How To Disaster Recovery 134

CIO

MARCH 2, 2023

“In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture.

Artificial Inteligence 214

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 214

Data Virtualization

OCTOBER 3, 2024

Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable.

Architecture 52

Architecture Data Healthcare Scalability 52

Altexsoft

OCTOBER 24, 2019

The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. 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.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Snowflake architecture and capabilities.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Datavail

JULY 27, 2021

Azure Cloud is the perfect site for many organizations to run their business intelligence and analytics workloads. Increased scalability and flexibility: Scalability is an essential cloud feature to handle the ever-growing amounts of enterprise data at your fingertips. The Benefits of Analytics on Azure Cloud.

Azure 98

Azure Analytics Cloud Company 98

Datavail

AUGUST 4, 2021

More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.

AWS 98

AWS Technical Review Analytics Development Team Review 98

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. Traditional data warehouse platform architecture. Data lake architecture example. Lakehouse architecture. What is a data lakehouse?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

CIO

DECEMBER 19, 2024

IT professionals with expertise in cloud architecture and optimization are needed to ensure these systems are scalable, efficient, and capable of real-time environmental monitoring, Breckenridge says.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Datavail

APRIL 12, 2021

It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. You may want to use CONNECT for importing and exporting data from a MariaDB database, and for all types of Business Intelligence applications. It is easily scalable.

Storage 98

Storage Engineering Open Source Business Intelligence 98

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

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%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data 88

Data Analytics Artificial Inteligence Machine Learning 88

Altexsoft

SEPTEMBER 23, 2021

This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. Data hub architecture. Data hub architecture.

Architecture 52

Architecture Data Storage IoT 52

Datavail

OCTOBER 5, 2021

In fact, applications using microservices architecture are often more code-heavy than monolithic applications. Nevertheless, the advantages of building apps with microservices far outweigh the pitfalls when there is a need for flexibility, scalability and greater speed. Microservices is an architecture. Are You Convinced Yet?

Microservices 81

Microservices eCommerce Architecture Applications 81

AWS Machine Learning - AI

AUGUST 1, 2024

However, deploying customized FMs to support generative AI applications in a secure and scalable manner isn’t a trivial task. This is the first in a series of posts about model customization scenarios that can be imported into Amazon Bedrock to simplify the process of building scalable and secure generative AI applications.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Artificial Intelligence 126

Cloudera

APRIL 20, 2021

The biggest challenge for businesses is to navigate to the future that needs real-time business intelligence. Streaming Analytics transforms business information from a week ago to what is happening now. What is modern streaming architecture? What are the advantages of Streaming Analytics?

Analytics 95

Analytics Retail Architecture Government 95

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52