CIO

AUGUST 23, 2022

With a focus on patient care, cost savings, and scalable innovation, healthcare organizations in the US are adopting a range of emerging technologies to improve patient experiences, to aid clinicians in their jobs, and to compete with digital entities entering the market.

Healthcare 260

Healthcare Systems Administration Software Engineering Business Intelligence 260

Openxcell

OCTOBER 2, 2023

Recently, technology has transformed the business world to make it more successful. With the latest technologies, creating increasingly complex networks of systems and technologies has become easier. This is where technology consulting services and solutions come into play. What is technology consulting?

Technical Review 52

Technical Review Security Technology Weak Development Team 52

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology. Contributor. Share on Twitter.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Data 306

Data Fractional CTO Artificial Inteligence Systems Review 306

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

AUGUST 24, 2023

“Unlocking the immense potential of AI to deliver a tangible impact to our business was a big priority for our IT organization,” says Milind Wagle, the company’s CIO. To solve these, we leveraged technologies that stemmed from diverse academic and corporate research facilities,” Bala says. “It

Artificial Inteligence 243

Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 243

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

CIO

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. Siloed data: Data has a way of becoming siloed and segmented over time, especially as lines of business or other functions develop new data sources, apply new technologies, and the like.

Government 357

Government Data Technical Review Policies 357

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. Headless BI refers to using BI tools and technologies without a front-end user interface. If you’re new to this concept, don’t worry!

How To 52

How To Scalability Analytics Google Cloud 52

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. How do you know which technologies deserve your time and energy? We have produced The Analyst One Top Technologies List to help you address those questions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

InnovationM

MAY 14, 2023

In this article, I will share practical insights and technologies utilized in building and harnessing the potential of data lakes. By preserving data in its native format, data lakes empower data scientists, analysts, and business users to explore and derive valuable insights without upfront data transformation.

Data 52

Data Storage Construction Business Intelligence 52

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 363

Business Intelligence Business Analytics Analytics Analysis 363

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. Now let’s take a more in-depth look at a few specific projects and solutions which Perficient has executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

Business Intelligence 218

Business Intelligence Small Business Weak Development Team Analytics 218

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Another that is also very important to consider is the health of the community around the technology. Pentaho 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

AWS Machine Learning - AI

APRIL 24, 2024

It is much more scalable to provide sufficient training data for reinforcement learning, and much less subjective because the training is not dependent on particular preferences from a small group of SMEs. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.

Artificial Inteligence 95

Artificial Inteligence Engineering Performance Generative AI 95

Xebia

JANUARY 19, 2023

With this practical book, you’ll learn how to plan and build systems to serve your organization’s and customers’ needs by evaluating the best technologies available through the framework of the data engineering lifecycle. The best data engineers view their responsibilities through business and technical lenses.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

OCTOBER 27, 2022

So in this post, we look at freight forwarders’ role in the global supply chain and discuss how technology can support their operations. Digital technology can’t ship freight or pack goods into a container. Reporting and analytics. Analytics is an essential factor of business growth and development.

Technical Review 52

Technical Review Technology Transportation Software Review 52

Altexsoft

MARCH 23, 2022

So, let’s talk about what to look for and how technology can help you with both your tasks at hand and strategic purposes. What you choose – depends on your specific business needs and operational model (obviously, selling one-day domestic experiences is very different from offering multi-day international tour packages). Scalability.

Software Review 52

Software Review Technical Review Engineering Software 52

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Understanding key technologies and methods. Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. The most important component is the data management application, which is responsible for all the data manipulation, analytical processing, and storage activities.

Big Data 52

Big Data Data Development Business Intelligence 52

Mobilunity

MARCH 31, 2023

It helps businesses to adapt to changing technologies, stay competitive, and meet customer needs. Examples: Workday HRM, Oracle HCM Cloud, SAP SuccessFactors, ADP Workforce Now, Paychex Flex Main Enterprise Software Technologies Different tech stacks can be used in different enterprise app development projects.

Software Development 52

Software Development Software Review Enterprise Software 52

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Tesla, Ford and Volkswagen are all implementing predictive analytics in their new wave of autonomous vehicles.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. In many scenarios, the scalability and variety of tooling options make the cloud an ideal target environment. Foundry’s 2022 Data & Analytics study found that 62% of IT leaders expect the share of analytics workloads they run in the cloud to increase.

Analytics 246

Analytics Cloud Data Government 246

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 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. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Hu's Place - HitachiVantara

JUNE 5, 2019

Under the leadership of Ram Roa, Vice President, Technology and Analytics, and the collaboration of the domain users, the data lake was in production in 7 months and this data management program was in place. Key to the success of a data lake or DataOps program is the active participation of the business domain owners.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

Actian

MAY 28, 2019

Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Most companies use multiple databases to store data at various levels of refinement, from raw source data to highly curated analytics and reports.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20