CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions.

Government 113

Government Business Analytics Big Data Architecture 113

Xebia

JULY 28, 2023

We will call them data-platform-udev and data-platform-uprod. Now that we have added our Service Principal to the Workspace, we just have to set the correct permissions – to use Tokens and to modify the Data Catalog. For this project, we will use Azure as our Cloud provider.

Cloud 130

Cloud Azure How To Windows 130

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

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

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 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

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.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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 123

Machine Learning Artificial Inteligence How To Case Study 123

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

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Oracle PaaS includes functionality for application development, content management, and business analytics, among others.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Existek

NOVEMBER 21, 2023

Let’s check this article focusing on AI analytics and how to leverage it to your advantage. List of the Content What is AI analytics? Difference between AI and traditional analytics How to use AI in data analytics? With the growing volume of data, the popularity of AI analytics has also been propelled.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Sunflower Lab

JULY 5, 2023

AI algorithms help to understand and interpret the given data to make predictions and information-driven decisions. Ai helps in achieving efficiency and accuracy in business operations. 2. Robotic Process Automation (RPA) Robotic Process Automation uses software robots or bots to automate repetitive tasks in business processes.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Openxcell

FEBRUARY 1, 2023

SaaS: Everything you need to know Traditionally, companies invested optimum capital in on-premise infrastructure to streamline business analytics, CRM, and automation. In recent years, it has been possible to operate the whole business offsite using SaaS or Software-as-a-Service. SaaS offers minimal upfront costs.

Software Review 98

Software Review Industry Software Technical Review 98

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

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

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Newgen Software

JANUARY 2, 2024

From entering orders to documenting account reconciliations to extracting and processing content from multiple data formats, to creating purchase requisitions, to onboarding new employees, to managing customer service requests, RPA software takes the charge of the back office and front office processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

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

O'Reilly Media - Ideas

JANUARY 15, 2019

AI in the enterprise will build upon existing analytic applications. Aside from new systems that use vision and speech technologies, we expect early forays into deep learning and reinforcement learning will be in areas where companies already have data and machine learning in place. AI solutions will continue to rely on hybrid models.

Trends 84

Trends UI/UX Machine Learning Artificial Inteligence 84

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 259

Artificial Inteligence Data Artificial Intelligence Analytics 259

Datavail

MAY 13, 2019

Microsoft’s Power BI is one of the leading enterprise solutions for business analytics and data visualization. Power BI doesn’t require any thinking about scalability. Like any reporting tool, however, users and consumers of data will consume additional resources on your existing server setup. Final Thoughts.

Software Review 40

Software Review Technical Review Systems Review Report 40

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 66

Course Training Artificial Inteligence Software Review 66

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. Google’s App Engine is a cloud computing integration Platform as a Service for developing and hosting web apps in Google-managed data centers. What’s more, is that businesses are automatically notified soon after the patch.

Software Review 52

Software Review How To Systems Review Google Cloud 52

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 61

Artificial Inteligence Trends Industry Artificial Intelligence 61

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

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

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. Business (13%), security (8%), and web and mobile (6%) come next. But the conversation cooled almost as quickly as it started.

Trends 134

Trends Technical Review Technology Software Review 134

Capgemini

APRIL 3, 2024

The data in the model could contain all sorts of biases, the results might not be traceable, or user data or copyrights could have been used illegally, etc. Furthermore, the opacity of the model and its data creates copyright problems and uncontrolled bias. They are all concerned about the protection of their data (e.g.,

ChatGPT 52

ChatGPT Artificial Inteligence Compliance Generative AI 52

Hu's Place - HitachiVantara

AUGUST 13, 2018

With a team of 70 to 80 engineers they use open source - from open source data base, to open source libraries, and workflow engines to get to the next level faster. Recently, MyRepublic engaged Hitachi to help accelerate the company’s telecommunications technology strategy and enhance business operations across their customer base.

Industry 45

Industry Open Source Wireless Mobile 45

Altexsoft

SEPTEMBER 19, 2019

Some variables to consider are customer buyer persona, website reviews, social media mentions, sales figures by day and hour in different store locations, a holiday or other events, expected pay dates in local companies, even heat map data for every store, and current planogram. That’s a lot of different data stored in different formats.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

CIO

FEBRUARY 28, 2024

Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics. How would you then capture that data, perhaps to roll out personalization at scale? How will you keep your customers’ data safe?

How To 130

How To Sustainability IoT Automotive 130

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. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Disaster Recovery 91

Disaster Recovery Data Policies Azure 91

Cloudera

DECEMBER 21, 2020

Hybrid cloud is the best of both worlds – it allows low latency in data transfer combined with high data security offered by on-prem with the low TCO of ownership of scalable advanced analytics solutions in the cloud. . Enhancing Online Customer Experience with Data .

Retail 93

Retail Cloud Strategy Data 93

Codegiant

NOVEMBER 9, 2020

It cannot integrate with other data sources that well. Features Scalable API testing tool. It helps in exploring APIs by sending different kinds of data. User Review “ I’m using Phalcon for almost all my business projects, because of the low time needed to load the data.” Cons Customer support responds slowly.

Software Review 64

Software Review Tools Weak Development Team Development 64

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data 97

Data Analytics Storage Big Data 97