Dion Hinchcliffe's Web 2.0 Blog

JUNE 29, 2015

It’s not a new problem , and smart folks like Dave Winer have long worried about it , but it’s now becoming a vital strategic concern. At the same time, many exciting new applications have emerged on the scene recently that seem nearly must-have to many of us: Dropbox , Box , Slack , even arguably IBM Verse.

Unified Communications 104

Unified Communications Social Weak Development Team Enterprise 104

O'Reilly Media - Ideas

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps. Just introducing a new term like MLOps doesn’t solve anything by itself, rather, it just adds to the confusion.

DevOps 141

DevOps Data Software Review Technical Advisors 141

Netflix Tech

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. Much of the ML literature focuses on model training, evaluation, and scoring.

Media 116

Media Innovation UI/UX Machine Learning 116

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 In turn, that reality influences the actions individuals take to safeguard their jobs or increase their value should they need to find a new one. Units viewed tends to discount the usage of new topics: if a topic is new, there isn’t much content, and users can’t view content that doesn’t exist.

Trends 133

Trends Technical Review Technology Software Review 133

Robots and Pencils

OCTOBER 8, 2021

David Rowland David is the Head of Marketing at EcoOnline With digital transformation, testing new systems extensively does not only help the company determine if it’s functions are aligned to your business goals, it also helps foresee possible glitches and appropriate remedies. For this, they will need all sorts of technology.

Technical Review 136

Technical Review Security Development Team Review Technical Advisors 136

Altexsoft

MAY 29, 2020

These specifications make up the API architecture. Over time, different API architectural styles have been released. Each of them has its own patterns of standardizing data exchange. A pull of choices raises endless debates as to which architectural style is best. API styles over time, Source: Rob Crowley. RPC use cases.

Architecture 142

Architecture Microservices Systems Review Weak Development Team 142

Netflix Tech

DECEMBER 3, 2019

Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. How could we improve the quality of life for data scientists?

Open Source 92

Open Source Data Machine Learning Artificial Inteligence 92

Cloudera

AUGUST 21, 2021

There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. Addressing new customers and markets.

Industry 98

Industry Data Banking Analytics 98

Netflix Tech

DECEMBER 3, 2019

Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. How could we improve the quality of life for data scientists?

Open Source 53

Open Source Data Machine Learning Artificial Inteligence 53

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? What is Hadoop.

Big Data 98

Big Data Tools Data Storage 98

Netlify

SEPTEMBER 26, 2019

Git-Centric Workflow is a core philosophy embraced by Netlify, and listed as a JAMstack Best Practice , yet there hasn’t been an attempt to define it or explain it’s benefits. Branch Deploys let you set up a new environment with no more API than git checkout -b staging. Your serverless Netlify Functions are code too!

Serverless 45

Serverless Open Source Testing Media 45

Lacework

SEPTEMBER 18, 2023

Ask questions like: Where are the root credentials stored and how are they protected? Are we encrypting by default, data at-rest and in-transit? I get it, I’ve been there. Security is not an end-state, it’s a commitment to effective behaviors. This article is not the “Live, Laugh, Love” of CISO advice — we get enough of that.

Security 82

Security Software Review CTO Systems Review 82

Exadel

AUGUST 18, 2022

In the early 90s the concept of one-to-one marketing gained in traction, although arguably it’s been around since the dawn of buying and selling – think of the one-on-one interactions in general stores when shop assistants remembered regular customers’ preferences and you’ve got an idea of what one-on-one marketing really is about….

Marketing 98

Marketing Strategy Development How To 98

Altexsoft

MARCH 23, 2019

When you talk about API design, the first thing that comes to mind is probably Representational State Transfer (REST) which has been a standard style for retrieving data from the server based on the idea of accessing data by URLs. GraphQL is a modern alternative to the REST-based architecture aimed at solving its shortcomings.

Architecture 101

Architecture Microservices Software Review Resources 101

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. I believe that there is an accompanying change—one that is easy to miss, but equally essential.

Company 56

Company Software Retail Banking 56

Openxcell

FEBRUARY 8, 2021

For example, our teams were the first to adopt Flutter and Dart for building new-age applications for startups across India and the United States. Code-centric Developer Tooling. Another thing that should be considered is whether the mobile app development platform provides a code-centric development approach.

Software Review 52

Software Review Mobile Weak Development Team Software 52

Dion Hinchcliffe's Web 2.0 Blog

MAY 12, 2014

Our mindsets have become expanded by the new possibilities of super-connectedness, new models of working , and pervasive data-based insight that today’s networked revolution has wrought. That business is so centered around technology today is the reason why addressing this has become a top competitive issue.

Enterprise 85

Enterprise Social Weak Development Team Network 85

Progress

JANUARY 31, 2019

I wanted to point a few out to you today, so you could be excited too. Microservice Architecture. The RapidAuth and RapidData services Kinvey provides allow you to easily hook up authorization and data integrations with no code. One of the benefits of Node is the ability to keep your code scalable and modularized.

Development 40

Development Microservices Serverless Scalability 40

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. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

LeanEssays

JULY 14, 2019

No longer was it practical for experts to write requirements and send them to a support group where programmers wrote code and testers wrote corresponding tests and then reconciled the two versions of the requirements; finally, after weeks, months or even years, a big batch of new code was released to consumers (aka.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91