Apiumhub

JUNE 22, 2021

The programme is refreshed with great new speakers and case studies from some of the most innovative companies around the world. Data Innovation Summit topics. The programme consists of seven stages including the Data Octagon programme, Data After Dark show, TIP session blocks, networking activities, and much more.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Kentik

MARCH 7, 2023

So far in this series , I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. As datasets scale and networks become distributed to free their data, the data gravity story begins to morph into a data complexity story.

Network 99

Network Cloud Data Case Study 99

O'Reilly Media - Ideas

JUNE 4, 2019

Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Azure Architecture: Best Practices , June 28. Design and product management.

Course 94

Course Training Artificial Inteligence Software Review 94

O'Reilly Media - Ideas

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. AI and Data technologies in the cloud. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Artificial Inteligence Machine Learning 83

Cloudera

APRIL 24, 2023

Out of the box, CDP performs superbly, but over time, if data architecture, data engineering, and DevOps best practices are not maintained, the Data City you’ve erected atop a solid CDP bedrock can become the wild, wild, west. Perhaps it’s time for some law and order to prevent further crimes against the tech.

Case Study 81

Case Study Hardware Guidelines Performance 81

CTOvision

FEBRUARY 23, 2017

You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. Nearly 200 sessions that explore the latest advances, case studies, and best practices. Data scientists. Data engineers. Product managers.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Kentik

OCTOBER 25, 2016

How Scalable Architecture Boosts Accuracy in Detection. The out-of-band architecture also provides the option to utilize hybrid mitigation techniques that are tailored to specific needs and objectives. These issues are rooted in the inherent compute and storage limitations of scale-up detection architectures. Deep analytics.

Scalability 40

Scalability Architecture Big Data Network 40

O'Reilly Media - Ideas

JUNE 5, 2019

Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Azure Architecture: Best Practices , June 28. Design and product management.

Course 69

Course Training Artificial Inteligence Software Review 69

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 Case Study Artificial Inteligence 52

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

O'Reilly Media - Ideas

JUNE 19, 2019

Organizations now also have more use cases and case studies from which to draw inspiration—no matter what industry or domain you are interested in, chances are there are many interesting ML applications you can learn from. Ameet Talwalkar: “Random search and reproducibility for neural architecture search”.

Government 103

Government Artificial Inteligence Machine Learning Testing 103

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. a data lake) doesn’t meet your needs or if you find a cheaper option.

Data 76

Data Storage Analytics Data Center 76

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 10

Conference Data Data Engineering Big Data 10

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 Italian management consulting company HSPI publishes a database of process mining projects and case studies annually. In the 2020 application database , there are 551 case studies from 27 countries around the world, proving the spread of process mining adoption and growth of interest in these techniques.

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Mobilunity

NOVEMBER 11, 2024

This knowledge allows engineers to create models able to learn from data and improve with time. Transformer architecture. AI solution architects provide business goals alignment and smooth architecture integration in existing technologies. The goal was to launch a data-driven financial portal.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Kentik

MAY 31, 2017

Either way, it turned out, APIs were mostly architectural afterthoughts and users ended up with a collection of disparate, narrow tools that couldn’t — even with hefty consulting fees — be integrated into a seamless, efficient whole. To get a feel for what’s possible, check out the Pandora case study video.

Network 40

Network Tools Big Data Engineering 40

TIBCO - Connected Intelligence

NOVEMBER 4, 2019

Here is a short list: A comprehensive view on the customer of Volkswagen Germany with data virtualization Data virtualization in real life projects: tips and tricks, do’s and don’ts, and guidelines Can we design data architectures in a technology independent way? for Financial Services.

Virtualization 4

Virtualization Artificial Inteligence Data Artificial Intelligence 4

Openxcell

JANUARY 3, 2025

Overall Years of Work Experience Size of the Team Expertise in AI Development Client Testimonials and Case Studies Work Portfolio Client Success Stories Number of Services Offered 15 Best AI Development Companies in 2025 Here, we have listed the most popular AI development companies worldwide.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

Mobilunity

OCTOBER 30, 2024

Identify Required Skills and Roles Once you determine the goals of your AI software and its stages, identify the specialized skills and expertise required for your AI engineering team. Their feedback in a phone conversation can give you more understanding than client testimonials and case studies. Contract summary.

Technical Review 52

Technical Review Software Review Development How To 52

Altexsoft

DECEMBER 9, 2020

Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

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

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40