Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

Cloudera

MAY 12, 2021

DATA FOR ENTERPRISE AI. 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. HYBRID & MULTI-CLOUD INNOVATION.

Data 67

Data Machine Learning Artificial Inteligence Analytics 67

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 65

Course Training Artificial Inteligence Software Review 65

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

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

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

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

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. How many members have we lost or gained this month?

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. Which firms have something so important that you should push hard to get them into your enterprise?

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

DECEMBER 17, 2020

Obtaining and leveraging real-time, enterprise-wide data provides the following business capabilities: Consolidated Product & Sales Data — the ability to build an enterprise view of product, sales, and inventory across all locations, channels.

Retail 58

Retail Apparel Analytics Enterprise 58

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

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

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. Wed, 03/10/2021 - 12:42. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Altexsoft

JANUARY 14, 2021

You may also find it under the name of an enterprise data warehouse (EDW). It is usually created and used primarily for data reporting and analysis purposes. Summarized touches upon the fact the data is used for data analytics. It’s important if you plan on designing machine learning models. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

NOVEMBER 2, 2020

Conventional enterprise data types. These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. a data mart) or more comprehensively as an Enterprise Data Warehouse. Data Model. Typical RTDW Applications.

Data 95

Data Analytics Storage Big Data 95

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 134

Trends Technical Review Technology Software Review 134

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

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. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

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. A wide range of data visualization solutions.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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.

Trends 84

Trends UI/UX Machine Learning Artificial Inteligence 84

Codegiant

NOVEMBER 9, 2020

Cons The number of requests is limited in the enterprise version. Features Provides visibility on application performance for enterprises. Ability to organize and structure large or enterprise-level software. It helps with building powerful enterprise software applications faster. Provides team collaboration tools.

Software Review 64

Software Review Tools Weak Development Team Development 64

Codegiant

NOVEMBER 9, 2020

Cons The number of requests is limited in the enterprise version. Features Provides visibility on application performance for enterprises. Ability to organize and structure large or enterprise-level software. It helps with building powerful enterprise software applications faster. Provides team collaboration tools.

Software Review 52

Software Review Weak Development Team Tools Development 52

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