TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. It will give users more detailed notifications around workflows, with root cause analysis, and it will also give engineers, whether or not they are data science specialists, more tools to run analytics on their data sets.

Cloud 209

Cloud Sport Open Source Machine Learning 209

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? Do you need help adopting event-sourcing or AI models at your organization?

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. They then investigate additional data sources that they can use to augment their existing data. Economic value of data.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

O'Reilly Media - Data

SEPTEMBER 27, 2019

Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate. Watch “ Staying safe in the AI era “ Recent trends in data and machine learning technologies. Arun Murthy introduces the open source Cloudera Data Platform (CDP).

Conference 140

Conference Data Sport Machine Learning 140

TIBCO - Connected Intelligence

DECEMBER 22, 2020

More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. However, many businesses still have not been able to take advantage of the benefits of the “real-time” aspect of these analytics. . Reading Time: 2 minutes. The Problem with Kafka: Accessing Real-Time Information.

Analytics 47

Analytics Artificial Inteligence Sport eBook 47

TIBCO - Connected Intelligence

JULY 29, 2019

While many organizations are investing heavily in data science and machine learning (ML), far fewer have found a way to monetize their initiatives and fully realize the value from the insights uncovered. Best Practices to Operationalize Data Science and Machine Learning. Furthermore, “DIY data science is not scalable”.

Innovation 26

Innovation Artificial Inteligence Machine Learning Guidelines 26

Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. AutoML: automating simple machine learning tasks.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94