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).

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

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.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

MARCH 9, 2016

Supermarkets are vying to win over shoppers as the supermarket war escalates with the arrival of cut price alternatives in the US, that have already gobbled up market share from the big brand players in Europe. Their strategy in Europe has been on price, back by sophisticated business analytics, and it has worked.

Retail 97

Retail Analytics Big Data Analysis 97

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. He is an active participant in the IT Buyers Research Program at IDC and blogs throughout the year on the topic of Infrastructure and Data Management.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

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

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course 92

Course Training Artificial Inteligence Software Review 92

Datavail

DECEMBER 5, 2019

Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. Right now, neural networks and deep learning are among the hottest skillsets for budding data scientists (more on that later). So what’s on the menu for 2019?

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

Altexsoft

JANUARY 24, 2020

For now, it offers over 20 Majors and Degree programs, such as: Analytics ; Business Administration – Management of Technology (MBA) ; Computational Media (BS ; Computational Science and Engineering (MS) ; Computer Engineering (BS) ; Computer Science (BS) ; Cybersecurity (MS) ; and many more. Plans and opportunities.

Education 99

Education Analytics Recruiting Programming 99

CTOvision

JULY 25, 2016

The Cyber Reconnaissance and Analytics service is powered by the Cray ® Urika ® -GX system – Cray’s new agile analytics platform that fuses the Company’s supercomputing technologies with an open, enterprise-ready software framework for big data analytics.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

Hu's Place - HitachiVantara

MAY 10, 2019

Today’s analytic tools with modern compute and storage systems can analyze huge volumes of data in real time, integrate and visualize an intricate network of unstructured data and structured data, and generate meaningful insights, and provide real-time fraud detection. This is where DataOps comes into play.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course 67

Course Training Artificial Inteligence Software Review 67

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. You can’t wait to share it!

Big Data 40

Big Data Analytics Data Technical Review 40

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

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

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Advanced data calculations. What does it mean in practical terms?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Kaseya

MAY 13, 2021

Apart from detailed documentation for each of its services, Amazon also offers training and certification programs for the users to gain a better understanding of the usage and application of AWS. Easy Training and Certifications. Greater Security. According to Forbes, 63% of enterprises are currently running apps on Azure.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Capgemini

JUNE 3, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I explained the cost of legacy systems.

Infrastructure 52

Infrastructure Data Retail Analytics 52

The Cipher Brief

SEPTEMBER 20, 2020

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. Today’s IC lacks foundational mechanisms and data to effectively meet the needs of its customers. Defining business analytics for the IC. national security goals.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Apiumhub

AUGUST 12, 2021

The largest programming conference in Poland: September 21, 2021 | Ergo Arena 3cITy September 23, 2021 | PGE Narodowy Warsaw. Gema Parreño Piqueras – Lead Data Science @ApiumHub is among them! He has several years of work experience in both big companies & smaller startups and also acts as a mentor to several startups.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

JANUARY 14, 2021

It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. It contains an API (Application Programming Interface) and tools designed for data analysis, reporting, and data mining (the process of detecting patterns in large datasets to predict outcomes).

Backup 115

Backup Azure Software Review Architecture 115

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Create a data pipeline. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Sunflower Lab

APRIL 2, 2024

Use Case: Fitness Program Optimization Business Scenario: A fitness center wants to optimize its fitness programs to meet customer needs and improve retention. Power BI Solution: By analyzing member data, workout history, and feedback, Power BI segments members into groups based on fitness goals and preferences.

Analytics 40

Analytics Artificial Inteligence Machine Learning Analysis 40

CTOvision

OCTOBER 16, 2014

But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. Los Angeles Big Data Users Group. ? Advanced Analytics. ?

Data 109

Data Big Data Analytics Nonprofit 109