Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. When paired with the accelerated compute so often deployed with AI/ML-driven workloads, traditional storage architectures are severely challenged to keep the processors fed with data and operating efficiently – let alone meeting response time requirements.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CIO

JANUARY 24, 2024

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. How you use AI will vary based on the nature of your business, what you produce, and the value you can create with AI technologies. Learn more.

Artificial Inteligence 203

Artificial Inteligence Generative AI ChatGPT Machine Learning 203

CIO

JULY 26, 2023

We made a commitment to be truly cloud native and build an architecture that wasn’t burdened by any legacy infrastructure,” says Cox. The Denver-based realty chain has also developed a homegrown Salesforce-based business intelligence app running off Tableau to power its global network of roughly 145,000 brokers and agents, Ligon says.

Real Estate 226

Real Estate Data Generative AI Machine Learning 226

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 101

Machine Learning Artificial Inteligence Technical Review Technology 101

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 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

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 article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? Untangling Their ‘Spaghetti Architectures’ Retailers have long used back-end technologies to run specific aspects of their business. To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems.

Retail 310

Retail Minimum Viable Product Architecture Machine Learning 310

TechCrunch

FEBRUARY 2, 2022

With the explosion of data warehouses and advances in machine learning, companies want to build increasingly complex applications that can make use of this data. RudderStack’s architecture, on the other hand, sits on top of a modern data stack and puts data warehouses at the core of its architecture.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

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. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

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. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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 309

Analytics Artificial Inteligence Artificial Intelligence Hardware 309

Altexsoft

APRIL 23, 2019

The answer is business intelligence. We’ve already discussed a machine learning strategy. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Source: Skydesk.jp. Reporting (BI) tools.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

AUGUST 12, 2020

This article describes IoT through its architecture, layer to layer. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. It varies in complexity and number of architectural layers depending on a particular business task. analytic solutions using machine learning.

IoT 140

IoT Architecture Wireless Transportation 140

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. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

CIO

MARCH 9, 2022

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. This dual-system architecture requires continuous engineering to ETL data between the two platforms. On the other hand, they don’t support transactions or enforce data quality.

Artificial Inteligence 239

Artificial Inteligence Data Artificial Intelligence Analytics 239

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Now users can write their own scripts and run them over the data,” he explains. .

Data 349

Data Artificial Inteligence Technical Advisors Technical Review 349

CIO

DECEMBER 19, 2022

The 36,000-square-foot innovation hub will be led by the company’s CTO, Saurabh Mittal, and Markandey Upadhyay, head of business intelligence unit for Piramal. To develop these products, we will heavily use data, artificial intelligence, and machine learning. With ChatGPT, DALL.E, With ChatGPT, DALL.E,

Innovation 284

Innovation Artificial Inteligence Blockchain Machine Learning 284

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. HPC is everywhere, but you don’t think about it, because it’s hidden at the core.”

Performance 210

Performance Artificial Inteligence Storage Systems Review 210

Mentormate

NOVEMBER 15, 2021

This acquisition answers the growing demand from the company’s enterprise clients for capabilities such as data architecture, big data processing, performance tuning, business intelligence, machine learning, automation, and SQL development. With the expertise of the Data Cloud Solutions Ltd.

Artificial Inteligence 105

Artificial Inteligence Cloud Data Artificial Intelligence 105

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%). This applies to his IT group as well, specifically, in using AI to automate the review of customer contracts, Nardecchia says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

Perficient

DECEMBER 13, 2023

Sitting snugly between your upstream data warehouses and downstream business applications, this innovative layer fundamentally transforms how metrics are handled. It’s a pivotal component in a headless BI architecture, enabling metrics to be defined once and then seamlessly shared across multiple tools through APIs.

Metrics 52

Metrics Artificial Inteligence Artificial Intelligence Business Intelligence 52

CIO

MARCH 27, 2024

Al momento, Regione Toscana ha un data lake regionale e diversi sistemi di business intelligence a supporto dei principali interlocutori (Sanità, processi legati all’Agricoltura, ai processi ERP interni, alla mobilità e al turismo regionali, e così via). INAIL usa l’IA già da alcuni anni.

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

O'Reilly Media - Data

MARCH 7, 2018

Watch highlights covering machine learning, business intelligence, data privacy, and more. Hilary Mason looks at practical applications for intelligent machines and outlines the tools and processes needed to implement machine learning successfully. Privacy in the age of machine learning.

Conference 109

Conference Machine Learning Artificial Inteligence Data 109

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 86

Data Analytics Machine Learning Artificial Inteligence 86

Perficient

MARCH 29, 2023

Why Does SAP Need a Lakehouse A data lakehouse architecture combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses. Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Mentormate

MARCH 21, 2018

With such sophisticated tools, there is the temptation to focus solely on what they can deliver — better business intelligence and analytics. But what’s needed to deliver these things — clean data — is often an afterthought and a company’s first mistake in pursuing optimal business intelligence and analytics.

Business Intelligence 49

Business Intelligence Analytics Data Technical Review 49

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. It has the potential to improve business KPIs through auto-detect, auto-heal solutions, and create new channels to improve end-user experience,” he says.

Artificial Inteligence 347

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 347

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 356

Government Data Technical Review Policies 356

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture. Delta Lake integrations.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. Employing technologies like SQL for data querying, Python or R for data analysis, and machine learning algorithms for predictive insights can be highly beneficial.

How To 52

How To Scalability Analytics Google Cloud 52

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way.

Analytics 87

Analytics Machine Learning Artificial Inteligence Telecommunications 87

Altexsoft

OCTOBER 30, 2021

As the complexity of tasks and the volume of data needed to process increased, data scientists started focusing more on helping businesses solve problems. Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models. Choosing an algorithm.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

TechCrunch

MAY 3, 2022

The modern architecture of databases makes this complicated, with information potentially distributed across Kubernetes containers, Lambda, ECS and EC2 and more. “Our special sauce is in this distributed mesh network of agents,” Unlu said. “It makes us much more unique.”

Data 192

Data Artificial Inteligence Lambda Analytics 192

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 92

Data Analytics Open Source Architecture 92

Altexsoft

APRIL 22, 2020

The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics. To give you an idea of what a data platform can be, and which tools are used to process data, let’s quickly outline some general architectural principles.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69