CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions. Download this overview at: SAS and Apache Hadoop for Government.

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Government Business Analytics Big Data Architecture 113

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value.

System 114

System Data Big Data Business Analytics 114

TechCrunch

MAY 9, 2022

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CTOvision

APRIL 9, 2015

This webinar will examine lessons learned, best practices and concepts of operation designed to help you make the most of your data. For more information and to sign up see: SAS and Apache Hadoop For Government: Bringing the power of user-focused business analytics to big data.

Architecture 103

Architecture Big Data Business Analytics Government 103

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Apiumhub

MARCH 18, 2021

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

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Fractional CTO Technical Review Big Data Analytics 134

CIO

OCTOBER 26, 2023

Business intelligence analyst job description A typical day for BI analysts includes collecting data from sources such as industry reports, public information, field reports, or purchased findings; analyzing data to identify trends; and sharing it with the proper stakeholders.

Business Intelligence 190

Business Intelligence Technical Review Data Systems Review 190

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. Data Insights provides restaurants and retailers with the tools and services to synthesize data from all these sources, including big data sources, to help uncover actionable guest insights.

Big Data 105

Big Data Analysis Storage Business Analytics 105

CTOvision

JUNE 3, 2014

Using Weka with PDI , we are now helping clients blend a 360-degree view of all equipment data sources to enable early prediction of potential machinery failure. Pentaho Data Integration with R has allowed Paytronix to deliver analytics and insights to our clients much faster. Weka goes BIG (pentaho.com).

Artificial Inteligence 113

Artificial Inteligence Machine Learning Big Data Data 113

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

TechCrunch

MARCH 22, 2021

.” Before y42, Vietnam-born Dang co-founded a major events company that operated in over 10 countries and made millions in revenue (but with very thin margins), all while finishing up his studies with a focus on business analytics. And that in turn led him to also found a second company that focused on B2B data analytics.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

CTOvision

OCTOBER 22, 2014

NYSE: IT) is the world’s leading information technology research and advisory company. Pentaho’s the successful Data Integration & Business Analytics software vendor we’ve partnered with for nine years – almost since they cut their teeth with open … Read more on Information Management (blog).

Technical Review 108

Technical Review Technology Software Review 3D 108

Datavail

NOVEMBER 12, 2019

Back in January, the big data news portal Datanami put together a list of “10 Big Data Trends to Watch for 2019.” Now that we’re firmly in the back half of the year, we’ve decided to go over each of Datanami’s 10 big data trends to see how they stack up with our own observations.

Big Data 8

Big Data Trends Data Technical Review 8

Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

Big Data 40

Big Data Trends Data Business Intelligence 40

Datavail

NOVEMBER 26, 2019

In this continuation of our analysis of the Top 10 Big Data Trends to Watch in 2019 , as projected by Datanami, we’ll take a look at Trend #4: Data Governance Builds Steam. The GDPR is an EU regulation intended to give people greater protection and privacy for their personal information.

Big Data 8

Big Data Government Trends Data 8

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

AWS Machine Learning - AI

APRIL 9, 2025

Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. For more information, see Policy evaluation logic.

Weak Development Team 68

Weak Development Team Metrics AWS Systems Review 68

Datavail

DECEMBER 5, 2019

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. As of August 2018, there were 151,000 unfilled data scientist positions across the U.S. ,

Big Data 8

Big Data Technical Review Trends Technology 8

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 123

Data Analytics Banking Big Data 123

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

Newgen Software

NOVEMBER 17, 2022

The post Analytics – Gain Insights, Improve Decision Making, Predict Outcomes appeared first on Newgen. Related posts: Dynamic Case Management – A Fusion of BPM, ECM and Business Analytics. Actionable Insights from Big Data using ECM.

Analytics 52

Analytics Business Analytics Big Data Culture 52

CTOvision

JULY 25, 2016

The threat intelligence reports generated through this service are already enabling clients, including the Department of Defense, to focus remediation teams by providing detailed, actionable information on potential threat vectors and identifying specific flows, network locations, times and events. “We

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

Education 99

Education Analytics Recruiting Programming 99

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

Altexsoft

SEPTEMBER 6, 2018

Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. Big data analysis. Client analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project.

Big Data 40

Big Data Analytics Data Technical Review 40

AWS Machine Learning - AI

AUGUST 2, 2024

The analysis was conducted for queries based on both unstructured (regulatory documents and product specs sheets) and structured (product catalog) data. However, their knowledge is static and tied to the data used during the pre-training phase. However, a manual process is time-consuming and not scalable.

Artificial Inteligence 106

Artificial Inteligence Generative AI Energy Knowledge Base 106

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

The Cipher Brief

SEPTEMBER 20, 2020

As the IC confronts the transformational moment of the post-9/11 era, it will need better insights about itself to inform how it adapts. The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission. As a result, the IC is flying blind.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Data 82

Data Analytics Government Technical Review 82

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Cloud capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. What is a data warehouse?

Backup 115

Backup Azure Software Review Architecture 115

Kaseya

MAY 13, 2021

In addition, there is a limitation on the availability of information for the resources that are managed by Amazon VPC and Amazon EC2 consoles. You will be charged a fee for technical support based on the package you opt for, namely developer, business or enterprise. Charges for Technical Support.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Apiumhub

APRIL 1, 2021

Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce. This book gives you a good overview of all the concepts that you need to learn to master data science. Each of these concepts is explained well and there are examples along with an explanation of how the concepts are relevant in data science.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52