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 87

Trends Data Machine Learning Artificial Inteligence 87

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 138

Product Management Artificial Inteligence Machine Learning Software Review 138

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

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. That means you’ll need smart machines and skilled humans in the loop. So how do you choose the data labeling tool to meet your needs?

Tools 88

Tools Data Technical Review Open Source 88

O'Reilly Media - Ideas

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

System 94

System Off-The-Shelf Machine Learning Artificial Inteligence 94

Altexsoft

MAY 5, 2023

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

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 16

Machine Learning Artificial Inteligence Banking Enterprise 16

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 92

Open Source Data Machine Learning Artificial Inteligence 92

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 Systems Review Software Review 69

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

AWS Machine Learning - AI

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. In development, you can use open source TruLens to quickly evaluate, debug, and iterate on your LLM apps in your environment.

Artificial Inteligence 88

Artificial Inteligence Training Metrics Off-The-Shelf 88

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 84

Artificial Inteligence AWS Data Generative AI 84

Cloudera

SEPTEMBER 7, 2023

Given the complexity of the datasets used to train AI systems, and factoring in the known tendency of generative AI systems to invent non-factual information, this is no small task. It’s the most revolutionary technological development in at least a generation. But it’s also fraught with risk.

Insurance 80

Insurance Artificial Inteligence Data Systems Review 80

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. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms. What would you say is the job of a software developer? Pretty simple. Building Models.

Software Review 135

Software Review Development Team Review Machine Learning Artificial Inteligence 135

O'Reilly Media - Data

MARCH 22, 2018

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. There is also a trade off in balancing a model’s interpretability and its performance.

Off-The-Shelf 115

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 115

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 142

DevOps Data Software Review Technical Advisors 142

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

Altexsoft

MAY 30, 2022

In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. 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

Altexsoft

JULY 19, 2019

However, it only starts gaining real power with the help of artificial intelligence (AI) and machine learning (ML). The key element of any bot in robotic automation is that they are able to work only within a user interface (UI) , not with the machine (or system) itself. What is standard Robotic Process Automation?

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence Analysis Technology 78

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