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 363

Budget Artificial Inteligence Technical Review VR 363

RapidValue

DECEMBER 7, 2020

It is a scalable, reliable, and secure cloud service with extensive analytics capabilities at a lower cost when compared to OBIEE. OAC offers analytics and reporting, data visualizations, data modeling, self-service analytics, big data analytics, machine learning, and predictive analytics under a single license.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

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

Cloudera

JULY 9, 2018

To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. It’s powerful features finally get data scientists, analysts, and business teams speaking the same language.

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. The Public Sector data challenge.

Government 119

Government Artificial Inteligence Machine Learning Data 119

CIO

SEPTEMBER 8, 2022

Real-time data provides the most current intelligence to manage the fleet and delivery, for example. Strategically, with meaningful real-time data, systemic issues are easier to identify, portfolio decisions faster to make, and performance easier to evaluate. Business Intelligence

Data 264

Data Fractional CTO Artificial Inteligence Systems Review 264

Datavail

SEPTEMBER 1, 2021

Systems to respond quickly and cheaply to changes in business conditions or acquisitions. Scalability. They relate to low cost, scalability, quick and agile systems to produce analytics, and a desire to have analytics that consider input from across the organization. Your Organization’s Business Intelligence Maturity.

Analytics 97

Analytics Technical Review Cloud Data 97

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 ). There’s zero effort required by companies to get the benefits of Iceberg as part of CDP.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Spark supports various data operations, including batch and real-time processing, machine learning, and graph analytics.

Data 52

Data Storage Construction Business Intelligence 52

CIO

MARCH 24, 2023

Doing so can help companies remain responsive, especially as they grow to a size in which it is no longer efficient for individuals to perform cross-functional tasks. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Government 356

Government Data Technical Review Policies 356

Perficient

MARCH 29, 2023

Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data. SAP HANA Cloud is a column-based, multi-modal and scalable in-memory database. Databricks is the current leader in the lakehouse space. SAP does offer a cloud-based data lake that can be compared to the Databricks offering.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. I’ll recap our presentations and everything else the Datavail team learned at Data Summit 2023.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Kaseya

NOVEMBER 9, 2023

Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management. Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What are the main features of a modern data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

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. Watch our video to learn more about one of the key Databricks applications — data engineering. Let’s see what exactly Databricks has to offer.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Sunflower Lab

APRIL 2, 2024

For CEOs, predictive analytics is an essential tool because it enables them to know which clients are likely to buy certain products or services, how the market trends will play out in the future, and how the business is performing – information needed to make the right strategic decisions that will support growth and profitability.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Apps Associates

JANUARY 26, 2023

Oracle Analytics Cloud (OAC) is a scalable Oracle Cloud platform which provides organizations with the capabilities they need to effectively store, analyze, and derive actionable insights from their data. Why Upgrade to Oracle Analytics Cloud? BI refers to the software and services used to transform data into actionable insights.

Analytics 52

Analytics Machine Learning Artificial Inteligence Cloud 52

Sunflower Lab

OCTOBER 9, 2023

With Business Analytics becoming more and more intelligent with time and further innovative with the usage, it is an inevitable instance where your data will not be needing any manual manipulations and actions, as it will be all taken care by the automated machine learning programs.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Adaptability and scalability that come with consultancies being able to scale resources up or down as needed.

Big Data 52

Big Data Analytics Data Analysis 52

Apiumhub

FEBRUARY 25, 2021

Data science is a “concept to unify statistics, data analysis and their related methods” Data science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Perform exploratory study on the data. Machine Learning.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Apiumhub

APRIL 27, 2021

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. It is similar to the notion of co-occurrence in machine learning, in which the likelihood of one data-driven event is indicated by the presence of another.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

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. Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Cloudera

AUGUST 17, 2021

That’s why we are excited to expand our Apache Airflow-based pipeline orchestration for Cloudera Data Platform (CDP) with the flexibility to define scalable transformations with a combination of Spark and Hive. Let’s take a common use-case for Business Intelligence reporting. CDP Airflow operators.

Data 115

Data Open Source Government Analytics 115

Apps Associates

JULY 14, 2023

Migrating your Oracle workload to the cloud, specifically Amazon Web Services, can provide numerous benefits for your business. Improved scalability, high availability, enhanced security, cost optimization, and seamless integration with AWS services are just a few advantages worth considering.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Altexsoft

MAY 20, 2020

It encompasses wired or wireless networks and a gateway — a hardware or software module that consolidates data from devices, analyzes it, performs translation between different protocols and forwards information to the cloud. Amazon SageMaker , an environment for building, training, and deployment of machine learning models.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Machine learning. Spark’s GraphX library is designed to manipulate graphs and perform computations over them.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail.

Architecture 52

Architecture Data Storage Machine Learning 52

AWS Machine Learning - AI

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. CBRE, in parallel, completed UAT testing to confirm it performed as expected.

AWS 97

AWS Lambda Artificial Inteligence Performance 97

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 Systems Review 115

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. Scalability. Data engineering in 14 minutes. ELT vs ETL.

Tools 52

Tools Software Review Systems Review Testing 52

Actian

MAY 28, 2019

One of the most important parts of the data warehouse is the set of analytics capabilities that it provides – this includes both traditional business intelligence and reporting solutions as well as modern technology, such as AI and Machine Learning. Scalability – Expand your storage footprint as you acquire more data.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Sunflower Lab

MARCH 26, 2024

Additionally, this dashboard enables businesses to forecast future financial performance based on historical data and trends. By utilizing this information, finance teams and businesses can make informed decisions to optimize their budgeting processes and achieve their financial goals.

Analytics 52

Analytics Metrics Trends Analysis 52

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Actually, there are even more points, but you’ll see that.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Sunflower Lab

JANUARY 23, 2024

This efficiency boost translates into improved overall organizational performance. Continuous Improvement Through Data-Driven Iteration Power BI Dashboards support a cycle of continuous improvement by providing real-time feedback on key performance indicators, enabling organizations to adapt and refine strategies dynamically.

Data 40

Data Artificial Inteligence Analytics Healthcare 40