O'Reilly

NOVEMBER 14, 2023

Ethan Mollick (with whom I rarely disagree) writes, “In the real world, most new ideas do not come from the ether; they are based on combinations of existing concepts, which is why innovation scholars have long pointed to the importance of recombination in generating ideas.” You wouldn’t get Beethoven without the works of Haydn and Mozart.

Social Media 85

Social Media Innovation Media Tuning 85

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. You need to be able to innovate fast enough to pivot or reinvent your business model and leverage the change.

Social Media 98

Social Media Innovation Open Source Entertainment 98

The Morning Paper

OCTOBER 18, 2020

What really blew me away, is that this result includes the time taken to train the model used! All of this depends of course on being able to train a sufficiently accurate model that can make sufficiently fast predictions, so that the total runtime for Learned Sort, including the training time still beats Radix Sort. Evaluation.

Cache 137

Cache C++ Java Tuning 137

Dynatrace

DECEMBER 2, 2021

Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. Achieving 100% reliability isn’t always realistic, so using SLOs can help you figure out the balance between innovating (which could result in downtime) and delivering (which ensures users are happy).

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. Programs like Open Data on AWS provide free, publicly available datasets, accelerating sustainability innovation. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

The Morning Paper

JUNE 27, 2019

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Performance on accelerators matters because almost all current machine learning research, and most training of production models, uses them.

Systems 87

Systems Tuning Programming Innovation 87

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis.

Media 291

Media Innovation Energy Architecture 291

Scalegrid

JANUARY 11, 2024

To combat this issue, certain strategies are recommended such as prioritizing alerts based on severity levels, reducing false positives through advanced detection techniques, automating response protocols for faster action-taking, and providing adequate training and resources for personnel responsible for managing security.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Adrian Cockcroft

JUNE 21, 2022

I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company. This was a big jump to make, I had to wear a suit to work every day, and spend all my time paired up with a sales rep visiting customers.

Tuning 52

Tuning Benchmarking Engineering C++ 52

All Things Distributed

NOVEMBER 13, 2013

Over the course of the next three days, we will host more than 200 sessions, training bootcamps, and hands on labs taught by expert AWS staff as well as dozens of our customers. Tune in to hear the latest from AWS and our customers. If you’re not already here in Vegas with us, you can sign up to watch the keynotes on live stream here.

AWS 97

AWS Tuning Innovation Cloud 97

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Does anyone on my team require further training before we start? Performance tuning The first critical move in performance tuning is query optimization.

Open Source 94

Open Source Database Hardware Strategy 94

Tasktop

JANUARY 30, 2020

This measure is tuned to the investment necessary for success in a particular value stream – and it is also the metric needed for refining investments over time. The newsletter, produced with the communications and training departments, called out all the things that would be changing in the upcoming release.

Healthcare 52

Healthcare Metrics Tuning Software 52

SQL Server According to Bob

FEBRUARY 15, 2018

The conference kicks off next week on Wednesday February 21st with Training Days and lasts through Saturday, February 24th. Friday Sessions: SQL Intelligence excels your tuning and security expertise – Veljko Vasic, Ron Matchoro and Frans Lytzen. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

O'Reilly

FEBRUARY 13, 2024

Since The New York Times sued OpenAI for infringing its copyrights by using Times content for training, everyone involved with AI has been wondering about the consequences. And, more importantly, how will the outcome affect the way we train and use large language models? How will this lawsuit play out? Here’s mine.

Open Source 93

Open Source Strategy Government Tuning 93

The Netflix TechBlog

JANUARY 10, 2024

We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. It served as the foundation for numerous encoding innovations developed by our team. This drove the approach of the “release train”. 264, AV1, etc.).

Processing 229

Processing Media Latency Innovation 229

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

AUGUST 17, 2023

Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. This feedback is easily accessible by our algorithm partners and used in training improved versions of the models. For Visual Search We found that the model was influenced by the text present in the image.

Media 169

Media Scalability Architecture Strategy 169

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159

The Netflix TechBlog

APRIL 29, 2019

Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. Scientists and engineers can contribute new innovations on three fronts, data, statistics, and visualizations. We’ve had a number of successful Python open sources, including Security Monkey (our team’s most active open source project).

Open Source 279

Open Source Network Infrastructure Big Data 279

The Agile Manager

AUGUST 23, 2007

In the 1970s it spawned tremendous innovation in personal computing technology. From those innovations came products, solutions, and even categories that didn’t previously exist. Bright people were inventing and innovating, but nobody was there to monetise their work. 5 Grand Prix Tune-Ups” F1 Racing Magazine.

Innovation 40

Innovation Technology Technology Latency 40

Edge Perspectives

AUGUST 5, 2019

By learning, I don’t mean training programs or the sharing of existing knowledge. We’re going to have to choose which institutional model to adopt and, if we choose scalable learning, it will require us to pursue a broad program of institutional innovation , rethinking every aspect of our existing institutions. Scalable learning.

Strategy 17

Strategy Scalability Efficiency Programming 17

Abhishek Tiwari

JULY 20, 2019

Luckily, aircraft operating manuals and training procedures are so formalised and well established that there is no scope of performance degradation even if one or more crew members are replaced. I also have a strong feeling that long-lived teams are not good for innovation and disruption.

Engineering 61

Engineering Retail Airlines Healthcare 61

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

High Scalability

NOVEMBER 25, 2019

Once it's resolved our pipeline takes over and the ticket catches the next release train. The next release train is verified by automated REST API tests and some manual smoke tests. AWS : Their pace of innovation is admiring. A merge request has to be approved by 2 engineers and only then JIRA ticket can be resolved.

Architecture 52

Architecture Cache Azure Storage 52