CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

CTOvision

APRIL 16, 2015

Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. Actuarial science itself is rooted in using historical data to understand future risk and uncertainty. They are not comfortable making decisions based on analytical approaches that they do not fully understand.

Analytics 97

Analytics Insurance Survey Analysis 97

CTOvision

APRIL 9, 2015

on 21 May at 1pm, CTOvision publisher Bob Gourley will host a webinar SAS engineers in an overview of architectural best practices for SAS and Hadoop. This webinar will examine lessons learned, best practices and concepts of operation designed to help you make the most of your data. By Bob Gourley.

Architecture 103

Architecture Big Data Business Analytics Government 103

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Analytics 86

Analytics Machine Learning Artificial Inteligence Telecommunications 86

CTOvision

OCTOBER 13, 2014

Editor’s Note: Pentaho’s open approach and value added enterprise capabilities are making it a very popular framework for knitting together organizational data holdings. PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future.

Big Data 105

Big Data Data Business Analytics Analytics 105

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

CTOvision

APRIL 6, 2015

New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. Here is more: Enterprises in government are awash in more data than they can make sense of.

Government 113

Government Business Analytics Big Data Architecture 113

CTOvision

MAY 23, 2014

We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration. How it works.

Big Data 119

Big Data Data Storage Architecture 119

Apiumhub

DECEMBER 22, 2023

At Apiumhub , we have been proud media partners of most of Geekle’s online events since the beginning including the Global Summit for Node JS , the Android Development Global Summit , and the Worldwide Software Architecture Summit. AI in Product and Business Analytics Conf – February 27.

Case Study 60

Case Study Quality Assurance Software Development Architecture 60

CTOvision

FEBRUARY 10, 2015

Editor''s note: We have tracked Pentaho for years and have observed first hand the power of their open approaches to an end to end framework for helping organizations make the most of their data holdings. Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter.

System 114

System Data Big Data Business Analytics 114

Apiumhub

APRIL 6, 2021

There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Data 107

Data Machine Learning Artificial Inteligence Automotive 107

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Trends Data Artificial Inteligence 105

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.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CTOvision

MAY 5, 2015

Analysts are able to leverage comprehensive enterprise data stores by use of familiar interfaces and methods and with the well engineered SAS and Hadoop architecture can dramatically improve their results for mission. SAS Business Analytics software is focused on delivering actionable value from enterprise data holdings.

Government 95

Government Business Analytics Big Data Analytics 95

CTOvision

DECEMBER 19, 2013

This very open approach works well with all other enterprise capabilities and is key for getting data ready for analytics. This very open approach works well with all other enterprise capabilities and is key for getting data ready for analytics. Watch it all at: Analysis Big Data CTO'

Architecture 107

Architecture Big Data Business Analytics Analytics 107

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. What used to take a few weeks now takes a few minutes.”

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Banking 56

Banking Artificial Inteligence Data Artificial Intelligence 56

CTOvision

MARCH 14, 2014

But seeing financial results reported like the below just underscores that this is the right firm to leverage for your data integration needs. Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. The introduction of Pentaho Business Analytics 5.0 Pentaho 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. 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. What is a data warehouse?

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

Kentik

DECEMBER 8, 2020

The digital experience became the make or break of the modern business betting on clouds, internet delivery and — with the pandemic — a distributed workforce. Some network infrastructure may be owned, like in your data centers and corporate WAN/SD-WAN, and others shared, like in public clouds and over the internet.

WAN 94

WAN Analytics Network Business Intelligence 94

Apiumhub

APRIL 1, 2021

Data Science is one of the highest-paid and most popular fields nowadays. And there is nothing better than reading data science books to get the ball rolling. Top Data science books you should definitely read. Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

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

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Managing data science in the enterprise.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 67

Course Training Artificial Inteligence Software Review 67

The Cipher Brief

SEPTEMBER 20, 2020

intelligence community must invest in understanding its own business model to make data-driven decisions for the future,” argue authors Katrina Mulligan, Cipher Brief Expert Matt Olsen and Alexandra Schmitt from the Center for American Progress. “The U.S. Katrina Mulligan , Managing Director, Center for American Progress.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Mobilunity

DECEMBER 2, 2022

Many of the potential solutions could involve the use of software and digital data. The term “business analyst” is more unified. Depending on the job duties, there are titles such as Business architect, Business systems analyst, Data scientist, SAP business consultant , Process analyst, Requirements engineer, and others.

Analysis 52

Analysis Technical Review Systems Review Software Review 52

CTOvision

NOVEMBER 1, 2013

By Bob Gourley On Wednesday November 6th at 1pm EST Platfora is hosting a webinar providing details of the new Platfora Big Data Analytics platform. But till now there has not been an open/powerful big data analytics capability designed from the ground up to make good on these concepts. Platfora Big Data Analytics 3.0.

Enterprise 92

Enterprise Big Data Analytics Business Analytics 92

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles.

Business Intelligence 363

Business Intelligence Business Analytics Analytics Analysis 363

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.

Development 52

Development Storage Recruiting Architecture 52

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. 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

FEBRUARY 25, 2014

The point to me is that Pentaho’s comprehensive approach to data integration and business analytics has been designed for continual improvement. Open architectures and well thought out approaches are the way to go. Process Data as it Arrives. Leverage Existing Data Transformations. Next Steps.

Big Data 102

Big Data Open Source Business Analytics Analytics 102

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 50

Course Training Artificial Inteligence Software Review 50

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 293

Artificial Inteligence Data Artificial Intelligence Analytics 293

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. 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.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

FEBRUARY 24, 2021

Everything needs to be reimagined: talent retention, data privacy, social equity, the customer and employee experience, and more. 2021 is going to be the year when the financial services industry reckons with how these changes will play out, impacting business operations, processes, new technologies, and, of course, new regulations.

Artificial Inteligence 60

Artificial Inteligence Trends Industry Artificial Intelligence 60