CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Data Scientists: 114%.

Big Data 103

Big Data Analytics Groups Data 103

CTOvision

SEPTEMBER 17, 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.

Big Data 105

Big Data Fractional CTO Government CTO 105

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

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.

Big Data 91

Big Data Data Business Intelligence Analytics 91

TechCrunch

AUGUST 2, 2022

One of the startup’s tools uses AI techniques to simulate an economy, testing out millions of product pricing configurations to arrive at an optimal model for a company. Ural was an app developer at Goldman Sachs before joining Palantir as an engineer, where he met Ranade. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

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

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. They help their clients serve their customers through data insights. Finally, it needed user-friendly dashboards and reporting tools for better insight into program effectiveness. By Bob Gourley. Why Pentaho.

Big Data 105

Big Data Analysis Storage Business Analytics 105

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

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

Apiumhub

APRIL 6, 2021

Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data. The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Hu's Place - HitachiVantara

JUNE 12, 2018

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

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. Weka goes BIG (pentaho.com).

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

CTOvision

APRIL 16, 2015

According to Kimberly Holmes, senior vice president of strategic analytics at the XL Group, “An increasing number of managers must take action based on analytical results. They are not comfortable making decisions based on analytical approaches that they do not fully understand. Yet they must still make these decisions.”.

Analytics 97

Analytics Insurance Survey Analysis 97

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. This gets to the heart of the question of who business intelligence is for.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

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.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Newgen Software

FEBRUARY 6, 2024

As a part of BPM workflow, process driven analytics aims to optimize running process instance, predict path of process, predict exceptions, suggest next best action, suggest remedial action, do intelligent discovery of process improvement and the lot. However, the 80% unstructured data is a different ball game all together.

Analytics 52

Analytics Analysis Organization System 52

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

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. So what’s on the menu for 2019?

Big Data 8

Big Data Technical Review Trends Technology 8

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

CTOvision

OCTOBER 22, 2014

Steve Jobs once called the personal computer “a bicycle for our minds,” a tool that helps us go farther with the same amount of energy. Pentaho, Cloudera Executives See Bigger Data Opportunities. Cloudera , Red Hat make enterprise big data pact. IBM, Pentaho make the case for a big data refinery.

Technical Review 108

Technical Review Technology Software Review 3D 108

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 68

Course Training Artificial Inteligence Software Review 68

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Agile 90

Agile Retail Analytics Enterprise 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 51

Course Training Artificial Inteligence Software Review 51

Kaseya

MAY 13, 2021

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

APRIL 7, 2021

In order to get from here to there, insurance companies need to focus on data management. Specific areas of opportunity for insurance companies include: Data Management Tools and Processes. External Data/Big Data/Data Sharing. Data Privacy and Security Regulation. Data Monetization.

Insurance 57

Insurance Analytics Exercises IoT 57

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 45

IoT Cloud Data Analytics 45

Strategy Driven

APRIL 14, 2020

AI, machine learning, and big data are driving changes across verticals. The technologies mentioned above will help businesses extend their market risk analysis practices and make them error-free. Smart tools can detect, predict, and prevent risks the very moment they become a real threat.

Analysis 48

Analysis Study Research Marketing 48

TechCrunch

DECEMBER 9, 2020

At Sisense, these three were coming up against an issue: When you are dealing in terabytes of data, cloud data warehouses were straining to deliver good performance to power its analytics and other tools, and the only way to potentially continue to mitigate that was by piling on more cloud capacity.

Data 253

Data Big Data Analytics Enterprise 253

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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

TechCrunch

MARCH 22, 2021

The service, which was founded in 2020, integrates with over 100 data sources , covering all the standard B2B SaaS tools from Airtable to Shopify and Zendesk, as well as database services like Google’s BigQuery. 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

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. Connection layer.

Virtualization 69

Virtualization Tools Data Architecture 69