CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

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CTOvision

MAY 24, 2016

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics.

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N2Growth Blog

DECEMBER 4, 2024

In many organizations, this role is instrumental in spearheading transformational initiatives, optimizing resource allocation, and enhancing overall organizational agility. We leverage advanced technologies, data analytics, and cutting-edge management practices to uncover inefficiencies and identify opportunities for enhancement.

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Development Team Review Systems Review Culture Technical Review 141

CIO

NOVEMBER 11, 2024

From intelligent automation and AI-powered security to big data analytics and the convergence of AI with transformative technologies like 5G, cloud, and IoT, AI is driving a profound shift in how businesses operate and innovate. “We

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TechCrunch

OCTOBER 18, 2021

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.

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CIO

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

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CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

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CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

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Technical Review Analytics Technology Big Data 99

CIO

MARCH 13, 2025

And a Red Hat survey of IT managers in several European countries and the UAE found that 71% reported a shortage of AI skills, making it the most significant skill gap today, ahead of cybersecurity, cloud, and Agile. The talent shortage is particularly acute in two key areas, says Arun Chandrasekaran at Gartner.

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Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

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CTOvision

JULY 14, 2015

a premier provider of technical solutions and services to the Federal Government, announced today that it has acquired The Human Geo Group, LLC, a data analytics and software development company, for cash and stock. ARLINGTON, VA--(Marketwired - Jul 13, 2015) - The Radiant Group, Inc., About HumanGeo.

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Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.

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LAN Systems Administration How To Software Engineering 215

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

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Analytics Technical Review Technology Applications 102

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0 Pentaho 5.0

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Big Data Business Analytics Company Analytics 107

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . Advanced analytics empower risk reduction . Keep data lineage secure and governed. Improve Visibility within Supply Chains.

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CTOvision

JUNE 9, 2016

This video was used to introduce the Cray Urika-GX agile analytics platform. This high-performance data analytics appliance helps enterprises accelerate insight, multiply productivity, uncover data’s hidden opportunities — and get big value from big data. Michael Johnson.

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Cloudera

JANUARY 5, 2021

Now that we have established tailored demand, we need to figure out how to fulfill demand though a robust and capable supply chain, let’s drive into building an agile retail supply chain. Data 100 days old might as well be 100 years old. Integrating new data sources is now required to improve in-stocks and over-stocks.

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CIO

SEPTEMBER 22, 2022

Johansen spoke to Dan Roberts, host of the Tech Whisperers podcast, during CIO’s recent Future of Work Summit about the art of forecasting, not predicting, and remaining agile through transitions that test the balance of humanity and technology. But we’re moving back to a world that’s digitally analog, with things like big data visualization.

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CTOvision

JANUARY 26, 2015

Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. This brief product demo will show why more and more organizations of all sizes are turning to Pentaho to seamlessly deliver deep BI insights, quickly connect to any data source, & unlock the full potential of big data.

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Big Data Business Analytics Analytics Agile 103

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

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

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Big Data Data Engineering Engineering Data 75

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.

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Analytics Cloud Data Artificial Inteligence 89

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. Press release below from: [link].

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Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7.

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Cloudera

JUNE 13, 2023

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

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CIO

JULY 25, 2024

For instance, if you oversee security teams, you may want to consider the security-focused certifications, whereas if you manage an agile team, then project management and agile-focused certifications may be a better fit. This certification demonstrates your ability to work on or lead an agile team.

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Security Technical Review Project Management Agile 197

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results.

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Analytics DevOps Development Software Review 75

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

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Artificial Inteligence Mobile Industry Cloud 147

CTOvision

JULY 27, 2015

Datameer comes to your big data rescue with new analytics app (itproportal.com). Datameer and Tableau Host Webinar Highlighting Visual Impact and Data Agility of Their Combined Capabilities (ctovision.com). Datameer integrates pre-packaged analytics into its Hadoop BI platform (siliconangle.com).

Automotive 105

Automotive Big Data Analytics Agile 105

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.

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Analytics Tools Data Artificial Inteligence 87

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer.

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Analytics Agile Data Big Data 66

Samanage

APRIL 16, 2019

The good news is that the importance of IT leadership will continue to grow as organizations apply ITSM best practices across multiple departments, integrating DevOps, Agile, Lean, and other key principles and strategies to drive business success. The Future of ITSM, the Rise of Automation, and Big Data.

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Artificial Inteligence Agile Artificial Intelligence Machine Learning 75

Perficient

FEBRUARY 24, 2025

Wealth Management Trend #1: Hyper-Personalized Experiences With AI Driven by advancements in AI, big data, and machine learning, hyper-personalization is reshaping wealth management firms ability to tailor financial services based on individual preferences, behaviors, and investment goals.

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CIO

JANUARY 19, 2023

As per the recent IDC InfoBrief “The Significance of Open Source Software in the Digital-First Future Enterprise”, open source software (OSS) is an important driver of enterprise digital innovation and provides greater agility, performance and security compared to proprietary software.

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Open Source Software Review Technical Review Enterprise 205

Capgemini

NOVEMBER 21, 2024

At a fundamental level, it is a transformation of people, process, technology, and data to allow an organization to become data powered. But, more practically, data and BI modernization are the creation of a data foundation of secure, trusted, and democratized data to support AI and analytics at scale.

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