Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Model fitting isn’t the issue, getting to model fitting is the hard part.

Machine Learning 100

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 100

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 91

System Machine Learning Artificial Inteligence Training 91

CIO

JULY 10, 2024

Google has finally fixed its AI recommendation to use non-toxic glue as a solution to cheese sliding off pizza. The company that invented the very idea of gen AI is having trouble teaching its chatbot it shouldn’t treat satirical Onion articles and Reddit trolls as sources of truth. It can be harmful if ingested.

Artificial Inteligence 340

Artificial Inteligence Enterprise Off-The-Shelf Generative AI 340

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.

Product Management 136

Product Management Artificial Inteligence Machine Learning Weak Development Team 136

CIO

AUGUST 16, 2023

The Azure deployment gives companies a private instance of the chatbot, meaning they don’t have to worry about corporate data leaking out into the AI’s training data set. Using embeddings allows a company to create what is, in effect, a custom AI without having to train an LLM from scratch. “It

Artificial Inteligence 246

Artificial Inteligence Generative AI Open Source ChatGPT 246

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning.

Trends 83

Trends Data Machine Learning Artificial Inteligence 83

Trigent

FEBRUARY 14, 2022

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

Off-The-Shelf 81

Off-The-Shelf Software Review Software Artificial Inteligence 81

Altexsoft

JUNE 7, 2019

A growing number of businesses are seeking to apply artificial intelligence (AI) to innovate customer experience and launch disruptive products. If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models.

Tools 88

Tools Data Technical Review Open Source 88

Altexsoft

MAY 5, 2023

Artificial Intelligence (AI) is one of the crucial catalysts for this innovation: It has enormous potential to revolutionize various facets of vacation and short-term rentals. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

AWS Machine Learning - AI

DECEMBER 22, 2023

These foundation models perform well with generative tasks, from crafting text and summaries, answering questions, to producing images and videos. Despite the great generalization capabilities of these models, there are often use cases where these models have to be adapted to new tasks or domains.

Artificial Inteligence 98

Artificial Inteligence Training Metrics Off-The-Shelf 98

O'Reilly Media - Ideas

MARCH 7, 2019

Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing. These systems are harder to build than some of the first computer vision deep learning applications (i.e., Meet the language of emergency room triage notes. Yes, emergency rooms have their own language.

System 93

System Off-The-Shelf Artificial Inteligence Machine Learning 93

O'Reilly Media - Ideas

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

Machine Learning 15

Machine Learning Artificial Inteligence Banking Enterprise 15

Netflix Tech

DECEMBER 3, 2019

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?”

Open Source 93

Open Source Data Machine Learning Artificial Inteligence 93

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But it’s also fraught with risk.

Insurance 86

Insurance Artificial Inteligence Data Open Source 86

Altexsoft

JULY 19, 2019

However, it only starts gaining real power with the help of artificial intelligence (AI) and machine learning (ML). The fusion between AI technologies and RPA was named Intelligent or Cognitive Automation. In the last ten years, a new technology aimed at automating clerical processes emerged.

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence Analysis Technology 78

AWS Machine Learning - AI

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

Artificial Inteligence 93

Artificial Inteligence Data AWS Generative AI 93

Netflix Tech

DECEMBER 3, 2019

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?”

Open Source 53

Open Source Data Machine Learning Artificial Inteligence 53

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. What is process mining? Process mining ?an

Applications 69

Applications Weak Development Team Software Review Systems Review 69

O'Reilly Media - Ideas

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. Building Models. A common task for a data scientist is to build a predictive model. You might say that the outcome of this exercise is a performant predictive model. Pretty simple.

Software Review 133

Software Review Development Team Review Machine Learning Artificial Inteligence 133

O'Reilly Media - Data

MARCH 22, 2018

A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater. Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems.

Off-The-Shelf 118

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 118

Altexsoft

MAY 30, 2022

So, it makes sense that more and more companies are looking for a way to implement conversational artificial intelligence (AI) technology to streamline these processes. Or you want to find out the opening hours of a clinic, check if you have symptoms of a certain disease, or make an appointment with a doctor.

Artificial Inteligence 52

Artificial Inteligence Technical Review Machine Learning Artificial Intelligence 52

TechCrunch

AUGUST 24, 2022

A new open source AI image generator capable of producing realistic pictures from any text prompt has seen stunningly swift uptake in its first week. Stability AI’s Stable Diffusion , high fidelity but capable of being run on off-the-shelf consumer hardware, is now in use by art generator services like Artbreeder, Pixelz.ai

Open Source 272

Open Source Off-The-Shelf System Research 272

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

DevOps 141

DevOps Data Software Review Technical Advisors 141

CIO

OCTOBER 26, 2023

As always, you’ll base your workload placement decision on security, performance, latency, cost, and other variables, including the size and complexity of the large (or small) language model you plan to run, as well as the environments you plan to deploy it to. Most IT leaders say, “It depends.” And why not?

Generative AI 354

Generative AI Cloud Artificial Inteligence Off-The-Shelf 354

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. In 2011, Marc Andressen wrote an article called Why Software is Eating the World. The central idea is that any process that can be moved into software, will be.

Company 56

Company Software Retail Banking 56