CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

APRIL 22, 2022

For more details on data science bootcamps, see “ 15 best data science bootcamps for boosting your career.”. Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

CIO

JANUARY 20, 2023

And modern object storage solutions, offer performance, scalability, resilience, and compatibility on a globally distributed architecture to support enterprise workloads such as cloud-native, archive, IoT, AI, and big data analytics. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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. Registration & Networking Breakfast.

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Fractional CTO Technical Review Big Data Analytics 134

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. They collect vast amounts of information, and use data science to discover new customers needs, develop new products and services, and identify trends and opportunities. What Is Zero Trust Data?

Big Data 62

Big Data Organization Data Business Intelligence 62

CIO

SEPTEMBER 9, 2022

AI is expensive, as workloads are generally hosted in the cloud, but the sheer amount of data involved in building an effective AI routine result in big data costs. AI also requires substantial IT skills, and Australia faces a deepening skills crisis around this.

Innovation 217

Innovation Artificial Inteligence Artificial Intelligence Testing 217

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

CIO

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. Data scientists can help with this process.

Analytics 205

Analytics Data Analysis Technical Review 205

CTOvision

SEPTEMBER 29, 2016

Big Data and high performance computing (HPC) are on a collision course – from machine learning to business intelligence, the combined power of clustered servers, advanced networking and massive datasets are merging, and a new Big Data reality is on the rise. Marty Meehan.

Data Center 94

Data Center Data Big Data Artificial Inteligence 94

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. Registration & Networking Breakfast.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Vincent Granville.

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Artificial Inteligence Technical Advisors Data Machine Learning 111

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. Irwin’s story may be interesting, but what does it have to do with network traffic data? The answer is rooted in the experience of Kentik’s founders, who’ve spent decades building and operating some of the world’s biggest and most complex networks.

Big Data 40

Big Data Network Analytics Data 40

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

CTOvision

JANUARY 19, 2014

The place for enterprises to store all data with enterprise grade data management and protection, with access by any system (from legacy to modern, from proprietary to open source). This is the big data news of 2013, from a technology perspective. Business Intelligence 2.0:

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

Hacker Earth Developers Blog

JUNE 26, 2019

Neural Networks . Business /Domain Knowledge. The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Provide business intelligence : Business Intelligence is all about data management — arranging data and producing information from data via dashboards.

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Data How To Artificial Inteligence Machine Learning 200

Kentik

MAY 8, 2016

Enabling a Data-driven Approach for Better Network Management. In this post we’ll continue our focus on the intelligent use of network management data to enable companies to transform. The volume of data traffic across today’s networks is large and growing.

Big Data 40

Big Data Data Network Agile 40

TechCrunch

FEBRUARY 23, 2022

Varos, which officially launched Wednesday, started with marketing KPIs, but doesn’t want to stop there.

Company 285

Company Apparel Technical Review Digital Marketing 285

Kentik

MAY 31, 2016

The Digital Business Benefits of Data-driven Network Management. This post is the third in my series about the intelligent use of network management data to enable virtually any company to transform itself into a digital business. Proactive Analytics for Network Security.

Big Data 40

Big Data Data Analytics Weak Development Team 40

CIO

SEPTEMBER 18, 2023

The 300-person shop doesn’t focus on the classic network or data center support roles — those are outsourced to service providers. It’s made our BI department a lot more effective, not only in managing the IT side, but they’re able to effectively speak to business users in a language they understand,” Hsiao says.

Technical Review 204

Technical Review Pharmaceuticals Security Training 204

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability.

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Serverless AWS Artificial Inteligence Big Data 122

Kentik

FEBRUARY 14, 2023

In today’s digital world, data is generated faster and at a larger scale than ever before. With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. value1 * value2 = newDataPoint).

Network 52

Network Data Artificial Inteligence Analysis 52

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. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

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

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. I believe that the data science and big data communities are well-positioned to contribute to both automation and decentralization.

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Analytics Artificial Inteligence Data Machine Learning 186

CTOvision

FEBRUARY 1, 2017

We track DataRobot in our Disruptive IT Finder (in sections on Artificial Intelligence and Business Intelligence companies), and have always held their capable team in the highest of regards. Our products are flexible and meet the needs of a constantly changing ecosystem of digital and data-associated threats.

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Artificial Inteligence Artificial Intelligence Marketing Machine Learning 97

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

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Weak Development Team Big Data Data Artificial Inteligence 52

The Crazy Programmer

JANUARY 7, 2022

How to Use Dashboards in Data-Driven Decision Making. Data analysts, engineers, scientists, and anyone involved in the business intelligence and analytics fields will have the necessary knowledge, experience, and toolset to extract meaningful information from raw data.

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Testing Data Tools Performance 162

Dion Hinchcliffe's Web 2.0 Blog

AUGUST 28, 2011

Says Sameer: One thing enterprises have learned is that siloed, standalone consumer Web-style microblogging or social networking tools rarely work well inside an enterprise. The Disruptive Business Landscape Adds Big Data, Algorithms. Will we truly be smart enough to rule over them while only reaping the benefits?

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Social Enterprise Research Big Data 92

Kentik

MAY 23, 2017

Why Every ISP Needs a Robust Network Monitoring Solution. Their customers might be consumers, businesses, or a mix of the two. To do that in today’s network environment, ISPs need deeper network visibility. ISPs can gain similar advantages by becoming far more data driven. Faster root-cause correlation.

Network 40

Network Open Source Big Data Load Balancer 40

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

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Big Data Conference CTO Coach Media 73

Kentik

JANUARY 19, 2016

In today’s hyperconnected world, the network sees all. Network operators can capture a tremendous amount of useful data from their infrastructure. The tricky part is extracting useful and actionable information from all that data. Everything about your business traverses the network.

Network 40

Network Cloud Data Big Data 40

Kentik

MAY 10, 2017

Meanwhile, Light Reading is talking network functions virtualization (NFV) and how network operators can overcome relevant challenges. NFV’s Major Movements (Light Reading) When it comes to network functions virtualization (NFV), network operators need more support. AppDynamics explains logic behind that $3.7

Internet 40

Internet Network Big Data Technical Review 40

CIO

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

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Real Estate Data Generative AI Artificial Inteligence 148

CTOvision

NOVEMBER 29, 2016

Commercial corporations in the Internet Age face endlessly growing data asset management – but traditional business technology isn’t the way to help, argues Neo Technology’s Emil Eifrem. Digital consumers are generating data at an exponential rate, via social networking, emails, blogs and smartphones. But that 2.5

Healthcare 101

Healthcare Analytics Network Media 101

CIO

APRIL 10, 2024

Madan is responsible for thousands of technology-focused employees — people who write code, configure systems, implement security and set up networks. Previous generations of AI and analytics, big data, or streaming data, were led by technologies. For business intelligence jobs, the main skill is SQL.

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Artificial Inteligence Generative AI Training Coaching 203

N2Growth Blog

JANUARY 23, 2018

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

Innovation 84

Innovation Strategy Big Data Advertising 84

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87