Cloudera

SEPTEMBER 17, 2020

A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. Today’s data tool challenges.

Data 81

Data How To Technical Review Systems Review 81

scruminc

JULY 23, 2021

Should A Product Owner Attend The Daily Scrum? by Avi Schneier | J uly 23, 2021 | Blog. Should Product Owners attend the Daily Scrum? Finally, we’ll close with an analysis of how Product Owner attendance can hijack the Daily Scrum and how to make their attendance an enriching experience instead.

SCRUM 87

SCRUM Metrics Meeting Agile 87

Tenable

MAY 9, 2023

It is necessary to look at the results of observation objectively, because you, the experimenter, might like one result better than another —Richard P. The team develops a wide range of insights and reporting capabilities for Tenable products. Feynman There were 25,080 vulnerabilities disclosed in 2022, an 18.78% increase over 2021.

Research 52

Research Organization Analysis Fashion 52

Openxcell

APRIL 7, 2023

In this blog, let’s explore the most recent Machine Learning Tools through 2023. Check out our recent blog. Tools for Machine Learning are classified into four categories: supervised, uncontrolled, semi-supervised, and reinforced. What is Machine Learning? Why is Machine Learning important in our lives? a) SciKit-learn 1.2.2

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Tenable

FEBRUARY 12, 2024

In this blog post, we share our experience with the new unused access Analyzer feature and talk about what it’s good for — and what can be improved — in order to be effective as a full-blown CIEM solution at scale. Finding out how and why can mean a world of difference for your security.

Software Review 61

Software Review Technical Review Policies AWS 61

G2 Crowd Software

MARCH 20, 2018

The goal of classification algorithms is to place the data into different categories, where the goal of regression is a value such as a unit of measure. Usually, developers are looking for clusters (natural groupings of the data) or associations (relationships between different categories of data).

Artificial Inteligence 98

Artificial Inteligence Machine Learning Artificial Intelligence .Net 98

Coforge

MARCH 22, 2019

The need to make diverse technology set work in harmony leads to unnecessary reinvention and experimentation. Deliver the scaffolding code that would support the development teams to be productive quickly and to reduce their time-to-market. Publish date: Friday, March 22, 2019 Category: Insurance Blog Author: Harish Nanda

Blockchain 40

Blockchain Architecture Network Open Source 40

Confluent

FEBRUARY 6, 2019

This structure worked well for production training and deployment of many models but left a lot to be desired in terms of overhead, flexibility, and ease of use, especially during early prototyping and experimentation [where Notebooks and Python shine].

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Honeycomb

MARCH 20, 2023

By definition, corporate-backed open source projects don’t conform to this classic model, and most cloud-native projects fit in this second category. Where do cloud-native companies fit in? Cloud hosting generally happens on expensive services. For these two groups, the incentives for participation align well.

Cloud 52

Cloud Weak Development Team Open Source Education 52

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible. There is nothing particularly unlucky about the number 13.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 15, 2021

The best performing models filter out up to 37 percent of CVs that don’t match the position, saving time for recruiters and boosting their productivity by 10 percent. It takes three hours to complete a production-ready model, capable of detecting a significant amount of additional fraud. Source: Google Cloud Blog.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Perficient

JANUARY 11, 2023

Eve helps organizations deliver an immediate impact on revenue, growth, market presence, brand credibility, and productivity. And then, finally, it’s experimentation, validating predictions, and optimizing those experiences. Then we have Eve Sangenito a principle of digital marketing.

Data 64

Data Research Analytics Organization 64

James Shore

JANUARY 9, 2021

Product Managers, Customers. Your SIVs will generally fall into these categories: Features. If you want to keep more detailed notes, you can, but for most product managers I meet, a short phrase is enough of a reminder. The team’s productivity was the same in each scenario. Adaptive Planning. We plan for success.

Weak Development Team 78

Weak Development Team Agile Software Review Hotels 78

Netflix Tech

FEBRUARY 11, 2019

This blog post will focus on the Alerts channel. remain backward compatible) Transfer business logic around messaging orchestration from the UI tier to the in-app messaging service Support cross-platform messaging Minimize time spent on running and productizing messaging A/B tests. Left: Notification Center on the Netflix iOS app.

Testing 88

Testing Architecture AWS Infrastructure 88

QAspire

AUGUST 17, 2010

Unless you are in research and innovation where experimentation/exploration is the name of the game. By Tanmay , August 18, 2010 @ 7:57 am @Anand - Thanks for the comment. When a volume of your business depends on doing stuff, one cannot afford to make same mistakes again. For what we know, we need to implement that well. Enjoyed this.

Software Review 55

Software Review Quality Assurance SDLC Leadership 55

Apiumhub

SEPTEMBER 17, 2019

In this article, I would like to share with you leading Product Ownership Influencers, we believe you should definitely follow. They make a difference in the software development industry and in digital product creation. Top Product Ownership Influencers. They absolutely deserve to be mentioned! Roman Pichler. Marty Cagan.

SCRUM 8

SCRUM Technical Review Agile Product Management 8

O'Reilly Media - Ideas

JANUARY 18, 2022

A customer who has spent too long waiting for customer support requires a different intervention than a customer who no longer needs your product. For the most part, we use A/B tests to test hypotheses about incremental product changes; early on, Google famously A/B tested 40 shades of blue to discover the best color for links.

Insurance 144

Insurance Testing Groups Research 144