Cloudera

OCTOBER 4, 2023

And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. This is especially necessary when combining real-time data with prepared data, and adding predictive concepts into our augmented dashboards and reports.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

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 70

Course Training Artificial Inteligence Software Review 70

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Modernize applications and migrate workloads to the cloud where they can be worked on from anywhere. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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 51

Course Training Artificial Inteligence Software Review 51

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

Data 65

Data Machine Learning Artificial Inteligence Analytics 65

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

Cloudera

FEBRUARY 24, 2021

Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning. Fraud prevention is another area where the financial services industry will benefit from leveraging real-time data and machine learning.

Artificial Inteligence 58

Artificial Inteligence Trends Industry Artificial Intelligence 58

TechCrunch

AUGUST 2, 2022

xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

Cloudera

FEBRUARY 18, 2021

There are also concerns about what new regulation may be enacted to oversee cloud service providers both in general, and in regulated industries. . Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. . Trend #3: Cloud Considerations.

Insurance 105

Insurance Trends Data Artificial Inteligence 105

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. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

OCTOBER 28, 2020

As these new sources cause data volumes to multiply, advanced analytics and machine learning are the only effective ways to analyze the vast quantities of information and help realize insight. A data-driven approach empowers financial services to better listen and understand their customers and provide timely advice.

Data 69

Data Analytics Banking Machine Learning 69

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

Cloudera

NOVEMBER 16, 2020

And finally, newer technologies (such as Cloudera’s) that facilitate cloud computing, machine learning, and streaming data, enable us to integrate and use structured, unstructured and third-party data to identify and address possible fraud earlier in the attempt, hopefully preventing fraud altogether.

Insurance 97

Insurance Data Machine Learning Artificial Inteligence 97

CIO

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

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

Datavail

JUNE 6, 2019

Power BI is Microsoft’s solution for business analytics and visualization. The software includes advanced features such as artificial intelligence and machine learning, and also integrates with Microsoft’s digital assistant Cortana. Qlik is a self-service BI solution similar to Tableau.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

Cloudera

JANUARY 14, 2021

The benefits described in my last four blogs are realized through the Cloudera Data Platform that enables retailers and consumer goods companies to maintain their momentum and accelerate digital transformation by leveraging data from any source whether on-premises, cloud or hybrid platforms—powered by open-source technology.

Retail 69

Retail Agile Storage Analytics 69

CIO

JUNE 8, 2023

“Building new business aligned cost models, setting up disaster recovery and BCP platforms, allowing remote-working, rearchitecting the enterprise network from the ground up, and migrating to cloud should be some of the prime focus areas for CIOs as they set about their operations in the new-era.”

Innovation 232

Innovation Technical Review Disaster Recovery Budget 232

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

Cloudera

NOVEMBER 24, 2020

This meant building its first contextual offer engine — one that could enable access to customer data in real-time using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience.

Data 71

Data Agile Banking Machine Learning 71

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. either on the cloud or on premises. Pentaho is building the future of business analytics. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Learn more at [link]. . Intel® Technologies Move Analytics Forward.

Artificial Inteligence 289

Artificial Inteligence Data Artificial Intelligence Analytics 289

Perficient

FEBRUARY 22, 2024

While complex data management activities may be decentralized across various cloud and on-premises systems maintained by various teams, the virtual layer provides a centralized metadata layer with well-defined governance and security. Connect with us for consultation on your data intelligence and business analytics initiatives.

Virtualization 52

Virtualization Enterprise Data Analytics 52

O'Reilly Media - Ideas

MARCH 1, 2023

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. Business (13%), security (8%), and web and mobile (6%) come next. What does that mean?

Trends 138

Trends Technical Review Technology Software Review 138

Cloudera

DECEMBER 17, 2020

With any transformation in industry or marketplace, there are leaders and losers. The winners know the fundamental pillars that are hidden to some and evident to others that drive and enable success.

Retail 57

Retail Apparel Analytics Enterprise 57

Altexsoft

JANUARY 26, 2022

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. Get acquainted with how data is prepared for machine learning projects in our dedicated video. Transformations may include.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience.

Data 118

Data Analytics Banking Big Data 118

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. Only with such a holistic approach to data, you can build a prosperous business.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. For over 30 years, data warehouses have been a rich business-insights source. For over 30 years, data warehouses have been a rich business-insights source. Cloud data warehouse architecture. Is it still so? Quite the opposite.

Backup 115

Backup Azure Software Review Systems Review 115

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

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

Education 99

Education Analytics Recruiting Programming 99

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. Cloudera offers a platform, Cloudera Data Platform (CDP), for building end-to-end data applications in both the public and private cloud.

Data 91

Data Analytics Storage Big Data 91

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

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. The tool is cloud-based and builds an autonomous database that is completely self-sufficient and self-driving.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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 86

Trends UI/UX Machine Learning Artificial Inteligence 86