Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 83

Analytics Machine Learning Artificial Inteligence Telecommunications 83

Strategy Driven

APRIL 14, 2020

To answer the latest challenges, risk analysis has to be active as well. It’s one of the most significant areas for change in risk analysis in the coming years. The digital era has also brought to light new business models facing brand new risks, which makes digitization a leading area for change in risk analysis.

Analysis 43

Analysis Study Research Marketing 43

The Accidental Successful CIO

MAY 12, 2021

Understanding Business Intelligence vs. Business Analytics. Business intelligence tools provide insights into the current state of the business or organization: where are sales prospects in the pipeline today? It also gets to the heart of the question of who business intelligence is designed for.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Cloudera

FEBRUARY 8, 2021

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. The vehicle-to-cloud solution driving advanced use cases.

Data 105

Data Machine Learning Artificial Inteligence Automotive 105

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. Learn more about the Pentaho Data Science Pack.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Existek

NOVEMBER 21, 2023

However, AI-driven analytics takes it a step further by leveraging algorithms and other AI techniques to discover patterns, correlations, and trends in data. It enhances data analysis capabilities by incorporating artificial intelligence to provide more accurate, timely, and actionable insights.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. We work with the largest companies in the world to help tackle their most challenging ML problems.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

CTOvision

JUNE 17, 2014

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. Advanced Business Analytics, Data Mining and Predictive Modeling: 121,816 (74% growth in 12 months). Big Data and Analytics: 74,350 (100%). per 1K mbr.

Big Data 103

Big Data Analytics Groups Data 103

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 66

Course Training Artificial Inteligence Software Review 66

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

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. Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 49

Course Training Artificial Inteligence Software Review 49

Altexsoft

SEPTEMBER 6, 2018

Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. While the dataset is indeed large, the problem that the OTA was solving didn’t require data analysis, only data retrieval. For instance, we had such a case in our work.

Company 63

Company Off-The-Shelf Data Software Review 63

Apiumhub

APRIL 6, 2021

Towards Data Science is helping build an ecosystem of content and welcomes insightful people to share their take on several of innovations in the form of tutorials, tips, analysis, and hands-on experiences, to the readers. You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. SECURITY AND GOVERNANCE LEADERSHIP.

Data 65

Data Machine Learning Artificial Inteligence Analytics 65

O'Reilly Media - Ideas

JANUARY 5, 2021

Integration between Python and Tableau : Tableau has proven itself as a platform for data visualization and business analytics. Python is well-established as a language for data analysis and machine learning. Molecular analysis with Smart Phones : We thought that phone vendors had run out of sensors to add.

Trends 100

Trends Artificial Inteligence Linux Systems Review 100

Cloudera

NOVEMBER 16, 2020

This requires a lot of data, a variety of data, and advanced analytic capabilities. Network analysis (quite often in knowledge graphs) is critical to identify criminal networks and organizations.

Insurance 96

Insurance Data Machine Learning Artificial Inteligence 96

CIO

JANUARY 20, 2023

A strong BI strategy can deliver accurate data and reporting capabilities faster to business users to help them make better business decisions in a more timely fashion. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. Pentaho is building the future of business analytics. We list our methodologies at the end of the list. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

DECEMBER 17, 2020

This retailer leveraged Cloudera enterprise data management solutions that provided micro-data on shopper location enabling in-store analysis, similar to the insight gleaned from the online portion of their business.

Retail 57

Retail Apparel Analytics Enterprise 57

Altexsoft

JULY 3, 2020

The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. Machine learning allowed hotels and rental services to personalize offers and services. The adoption of, say, IoT devices gave us new ways to collect and process data.

Technical Review 76

Technical Review Technology Hotels Systems Review 76

Altexsoft

JANUARY 26, 2022

Data scientists also sit on the side of data analysis and business logic, but this side is more sophisticated. They commonly prepare data and build machine learning (ML) models. A big chunk of their work includes helping businesses get better insights and make predictions based on data.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Infinidat

MARCH 10, 2021

While this approach may have worked when business analytics were a more batch-oriented operation, newer analytics workloads need rapid access to more data that can be kept in the traditional performance tiers and moving data between tiers lengthens the time to better, more informed decisions.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Confluent

JULY 3, 2019

Sentiment analytics and Google’s Natural Language APIs. Text processing is a part of machine learning and is continuously evolving with a huge variety of techniques and related implementations. The following part of this blog post focuses on pushing the dataset into Google BigQuery and visual analysis in Google Data Studio.

Analysis 21

Analysis Data Sport Windows 21

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Data warehouse architecture. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

O'Reilly Media - Ideas

MARCH 1, 2023

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. Go” and “Golang” are distinct search strings, but they’re clearly the same topic.

Trends 135

Trends Technical Review Technology Software Review 135

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. Time Series and Event Analytics Specialized RTDW. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics.

Data 90

Data Analytics Storage Big Data 90

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. Firstly, it’s essential to identify the key metrics and trends highlighted by the predictive models.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

FEBRUARY 3, 2020

Data Analytics Definition, Stats, and Benefits. Before we show you the best data analytics tools, we want to help you to understand why businesses need such platforms in the first place. More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025. SAS Visual Text Analysis. How does it work?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Our analysis suggests the former.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

JANUARY 15, 2019

Companies have spent the last few years building processes and infrastructure to unlock disparate data sources in order to improve analytics on their most mission-critical analysis, whether it is business analytics, recommenders and personalization, forecasting, or anomaly detection and monitoring.

Trends 84

Trends UI/UX Machine Learning Artificial Inteligence 84

Codegiant

NOVEMBER 9, 2020

Features Intelligent code editor which provides smart code completion, intuitive code assist, re-factoring, and real-time error validation and analysis. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc.

Software Review 64

Software Review Tools Weak Development Team Development 64

Altexsoft

SEPTEMBER 19, 2019

Formatting data according to specified requirements and standards to make it suitable for analysis. The ETL process specifies how a heterogeneous data is retrieved from disparate sources, transformed into a form suitable for the analysis, and loaded into a single destination. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Codegiant

NOVEMBER 9, 2020

Features Intelligent code editor which provides smart code completion, intuitive code assist, re-factoring, and real-time error validation and analysis. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc.

Software Review 52

Software Review Weak Development Team Tools Development 52

Capgemini

APRIL 3, 2024

These two models benefited from an important breakthrough: meta-learning models. Meta-learning is a paradigm of Machine Learning (ML) in which the model “learns how to learn.” Improving the performance of its model over BERT LLM variants, OpenAI released GPT-2 in 2019 and GPT-3 in 2020.

Artificial Inteligence 52

Artificial Inteligence ChatGPT Generative AI Artificial Intelligence 52