O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 86

Big Data Technology Tools Cloud 86

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. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

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

CTOvision

FEBRUARY 23, 2017

Attending is a great way to track the latest in the community, learn (and share) lessons learned and find the most capable technologies ready for enterprise use. This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

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

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 127

Testing Engineering Software Artificial Inteligence 127

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Altexsoft

APRIL 13, 2023

“Control towers are the artificial intelligence (AI) of supply chain. You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Validation of results for consistency checks.

Data 82

Data Analytics Cloud Technical Review 82

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. Process mining ?an

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Netflix Tech

NOVEMBER 22, 2019

In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

TIBCO - Connected Intelligence

NOVEMBER 4, 2019

TDWI Munich , with thousands of attendees and nearly a hundred sponsors, is Germany’s premier annual data and analytics event. I was fortunate to be invited to speak about artificial intelligence and machine learning there this year. TIBCO’s Partners are All In for Data Virtualization.

Virtualization 4

Virtualization Artificial Inteligence Data Artificial Intelligence 4

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Model operations, testing, and monitoring.

Government 80

Government Artificial Inteligence Machine Learning Testing 80

InfoQ Culture Methods

DECEMBER 30, 2019

To be able to improve features in games which are constantly evolving, the challenge will be to scale tests to be on a par with new feature development. Automated tests are vital for King to keep up testing Candy Crush, therefore they are constantly looking for new improved ways to test. By Alexander Andelkovic.

Testing 52

Testing Games Development Case Study 52

Netflix Tech

NOVEMBER 22, 2019

In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies.

AWS 15

AWS Open Source Linux Engineering Management 15

Exadel

AUGUST 26, 2020

As MastersInDataScience.org explains, data analytics is a broad term including the following subtypes: descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics. All of these types of data analytics rely on data warehousing and machine learning. Customized visualization.

Analytics 52

Analytics Data How To Machine Learning 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

Cloudera

APRIL 21, 2022

Its evolution to the present-day cloud-based package is a real-world case study that will likely live in IT textbooks for as long as use cases will be referenced. . MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately.

Security 85

Security Data Insurance System 85

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.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

DataRobot

MARCH 16, 2021

Having a PhD in data science or years of coding experience are great, but even people with limited backgrounds in machine learning can become AI Heroes. By demonstrating an openness to new technologies, AI heroes educate themselves and their colleagues and discover practical use cases. Openness to new technologies.

Nonprofit 52

Nonprofit Case Study Education Machine Learning 52

Agile Engine

DECEMBER 27, 2023

Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. Emerging trends 9.

Big Data 52

Big Data Analytics Data Analysis 52