CIO

JULY 14, 2023

But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” As so often happens with new technologies, the question is whether to build or buy.

Generative AI 227

Generative AI Artificial Inteligence Open Source ChatGPT 227

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 90

System Machine Learning Artificial Inteligence Training 90

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

O'Reilly Media - Ideas

JANUARY 8, 2019

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. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 85

Trends Data Machine Learning Artificial Inteligence 85

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 135

Product Management Artificial Inteligence Machine Learning Software Review 135

Cloudera

SEPTEMBER 21, 2021

With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. . Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers.

Off-The-Shelf 94

Off-The-Shelf Data Engineering Virtualization Cloud 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

NOVEMBER 22, 2019

To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows. In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows. In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

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 92

System Off-The-Shelf Machine Learning Artificial Inteligence 92

Perficient

DECEMBER 2, 2022

Processing data on-site allows you to react to events near real-time and propagating that data to every part of your organization will open a whole new world of capabilities and boost innovation. OPC-UA MQTT Bridge – Source: Inductive Automation. Introduction. Edge computing and more generally the rise of Industry 4.0

IoT 69

IoT Systems Review Software Review Industry 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 92

Open Source Data Machine Learning Artificial Inteligence 92

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

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

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

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 89

Artificial Inteligence Training Metrics Off-The-Shelf 89

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. It’s the most revolutionary technological development in at least a generation.

Insurance 79

Insurance Artificial Inteligence Data Systems Review 79

Netflix Tech

NOVEMBER 22, 2019

To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

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 132

Software Review Development Team Review Machine Learning Artificial Inteligence 132

TechCrunch

JULY 16, 2021

But then came Bitcoin and the crypto boom and — also in 2013 — the Snowden revelations, which ripped the veil off the NSA’s “collect it all” mantra, as Booz Allen Hamilton sub-contractor Ed risked it all to dump data on his own (and other) governments’ mass surveillance programs. million seed round in 2019.

Technical Review 334

Technical Review Network Internet Off-The-Shelf 334

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

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 140

DevOps Data Software Review Technical Advisors 140

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 Artificial Intelligence Machine Learning 52

Daniel Bryant

OCTOBER 18, 2021

Katie Gamanji framed it perfectly in her opening keynote:  —  @danielbryantuk Developer experience is now a top priority for vendors, open-source projects, and platform teams Although several of the Ambassador Labs team kicked off the week by presenting and attending at EnvoyCon (which looked great!),

Software Review 98

Software Review Technical Review Cloud Off-The-Shelf 98

O'Reilly Media - Ideas

FEBRUARY 20, 2019

The other two surveys were The State of Machine Learning Adoption in the Enterprise , released in July 2018, and Evolving Data Infrastructure , released in January 2019. That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption.

Survey 93

Survey Artificial Inteligence Artificial Intelligence Technical Review 93

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

Datica

JUNE 17, 2019

That’s why there’s a continued push for interoperability, the ability to share and exchange data with different sources without putting sensitive data at risk. Meet Our Panel of Health IT Pros: Read on to learn more about what our panel had to say about the best ways to simplify interoperability in healthcare IT. Jibestream.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40