CloudSphere

AUGUST 10, 2023

Not only were HR team members responsible for recruitment and retention efforts within a company, but they were also expected to perform functions like payroll, benefits administration, and record-keeping. In recent years, however, HR has begun a transformative journey fueled by the integration of technology.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

CTOvision

NOVEMBER 30, 2015

In this post we dive deeper into the trend of Big Data. Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. Sensemaking is key to success in most all other technology advancements.

Big Data 68

Big Data Technology Data Trends 68

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

TechCrunch

SEPTEMBER 27, 2021

Now a startup that has built technology to make that process move faster and more efficiently is announcing a round of funding to address those enterprises’ evolving needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics. ” . .

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

N2Growth Blog

JANUARY 29, 2024

The AI-geared approach in the recruitment process involves machine learning algorithms and data-driven insights to identify, sort, and evaluate potential candidates. This technology circumvents inherent human biases and ensures efficiency and consistency, enabling headhunters to draw from a more diverse talent pool.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

Perficient

MARCH 19, 2024

BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

TIBCO - Connected Intelligence

MAY 20, 2021

Want to learn about the top-trending energy and utilities (E&U) analytics and data management strategies that are helping companies evolve apace the rapid changes that characterize the industry? If so, join us May 25-26 for our virtual event, TIBCO Analytics Forum (TAF) 2021. Reading Time: 2 minutes.

Analytics 46

Analytics Energy Industry Big Data 46

CTOvision

JUNE 7, 2016

In this post we dive deeper into the trend of Big Data. Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. Sensemaking is key to success in most all other technology advancements.

Big Data 64

Big Data Data Scalability Trends 64

CIO

FEBRUARY 14, 2023

DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion. It’s streaming data that’s collected, processed, and analyzed on a continuous basis. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 357

Government Data Technical Review Policies 357

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. These advancements have significantly enhanced productivity, safety, and accuracy in manufacturing processes.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CTOvision

FEBRUARY 24, 2014

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

Big Data 107

Big Data Mobile Cloud Data 107

CTOvision

OCTOBER 27, 2014

These are some of the hot technology stories we are following… The Mysterious Company That Has Tech Giants Dropping 2 Million. Increased Technology Innovation Necessary to Grow Business. Big Data Product Watch 10/17/14: Big Three Make Big Moves. Cloudera CTO on Big Data analytics and security risks.

Technical Review 103

Technical Review Technology Big Data Firewall 103

Perficient

MAY 23, 2023

In today’s rapidly evolving world, the convergence of digital technology and manufacturing has revolutionized the way products are designed, produced, and delivered – and the pace of that revolution is only increasing. Digital technology has become an indispensable tool for manufacturers across industries.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Mentormate

APRIL 15, 2024

In the fast-paced world of technology, trends shift quickly. With built-in security features and an intuitive development environment, Java provides a solid foundation for secure, scalable, and adaptable software products. Seeing a programming language like Java stand the test of time amidst all that change is remarkable.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

CTOvision

SEPTEMBER 4, 2014

On July 30 th in northern Virginia, some of the greatest minds in analytics for business, outcomes, and mission impact gathered to share their lessons learned and experiences with data analytics. Connecting data scientists and software engineers,” Mr. Sorensen declared, “was something of a magic formula.”.

Analytics 88

Analytics Data Software Engineering Big Data 88

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. There was also a real risk of a HIPAA data incident occurring due to limited controls around PHI and PII data, given the data sprawl mentioned.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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

OTS Solutions

AUGUST 16, 2023

In this article, we will explore the role of AI and ML in application modernization and why businesses must embrace these technologies to remain competitive in the digital marketplace. Businesses that fail to keep up with the latest trends, technologies, and user demands risk losing customers and market share.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

In this article, we will explore the role of AI and ML in application modernization and why businesses must embrace these technologies to remain competitive in the digital marketplace. Businesses that fail to keep up with the latest trends, technologies, and user demands risk losing customers and market share.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

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

Kentik

SEPTEMBER 6, 2016

This post focuses on the first of those videos, in which Kentik’s Jim Frey, VP Strategic Alliances, talks about the complexity of today’s networks and how Big Data NetFlow analysis helps operators achieve timely insight into their traffic. Why Big Data NetFlow Analysis? Big Data Architectural Considerations.

Big Data 40

Big Data Analysis Data Architecture 40

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data 106

Data Architecture Analytics Government 106

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. As such, organizations are leveraging horizontal scale and non-volatile memory (NVM) technology (i.e. Similarly, adding NVM technology as a burst buffer or a flash cache can greatly mask the performance limitations of spinning disk.

Storage 104

Storage Analytics System Data 104

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

Capgemini

MARCH 16, 2022

New technologies make it possible to leverage the wealth of data locked in production equipment and improve its reliability, performance, and flexibility. makes it possible to consider obstacles as key elements to unlock scalability and initiate the Factory of the Future. Industry 4.0 But the question how to start remains.

Industry 98

Industry IoT Technical Review Automotive 98

TIBCO - Connected Intelligence

NOVEMBER 10, 2019

This year’s theme for Big Data LDN (London) challenges organizations to take a data-oriented approach to solve their biggest business challenges. Victory Fueled by Data Keynote. Data-driven performance can make the difference between victory and defeat in the highly competitive world of Formula One.

Big Data 20

Big Data Data Analytics Storage 20

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

Trigent

APRIL 14, 2022

These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure. Why are DevOps and Digital Engineering Important?

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130