CIO

JANUARY 9, 2024

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

Artificial Inteligence 179

Artificial Inteligence Enterprise Generative AI Technical Review 179

CIO

AUGUST 9, 2024

Additionally, connecting open-source solutions or foundation models to handpicked proprietary data with RAG can provide a shortcut to customized AI. However, end-to-end in-house development might not be economically sensible if existing or off-the-shelf tools can perform similar functionalities. Build or Buy?

Generative AI 210

Generative AI Off-The-Shelf Artificial Inteligence Guidelines 210

TechCrunch

DECEMBER 20, 2021

Ameelio , a nonprofit startup that intends to replace inmate-paid video calling in prisons with a free service, is making inroads against the companies that have dominated the space for decades. “We maybe had 8,000 users when we spoke to you, and a few months later we launched our mobile app.

Video 225

Video Nonprofit Off-The-Shelf Education 225

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 We select the LLM based on the use case.

Artificial Inteligence 148

Artificial Inteligence Generative AI Open Source ChatGPT 148

O'Reilly Media - Data

MARCH 22, 2018

There is also a trade off in balancing a model’s interpretability and its performance. We recognize the need for human interpretability, and we recently open sourced a Python framework called Skater as an initial step to enable interpretability for researchers and applied practitioners in the field of data science.

Off-The-Shelf 161

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 161

CIO

JULY 24, 2024

Things get quite a bit more complicated, however, when those models – which were designed and trained based on information that is broadly accessible via the internet – are applied to complex, industry-specific use cases. The key to this approach is developing a solid data foundation to support the GenAI model.

Artificial Inteligence 113

Artificial Inteligence Off-The-Shelf Insurance How To 113

O'Reilly Media - Ideas

MARCH 11, 2025

The surprise wasnt so much that DeepSeek managed to build a good modelalthough, at least in the United States, many technologists havent taken seriously the abilities of Chinas technology sectorbut the estimate that the training cost for R1 was only about $5 million. Thats roughly 1/10th what it cost to train OpenAIs most recent models.

Data Center 64

Data Center Training Off-The-Shelf Artificial Intelligence 64

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 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Honeycomb

MARCH 20, 2025

A new era of data creation and control With the emergence of open source models like DeepSeek, the rapid improvements to models from OpenAI and Anthropic, and the investment in homegrown, proprietary models, enterprise companies are faced with a new set of options for how they manage their data and the value it adds to their specific business.

Infrastructure 52

Infrastructure Enterprise Off-The-Shelf Engineering 52

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! On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler.

Open Source 54

Open Source Data Artificial Inteligence Machine Learning 54

Erik Bernhardsson

APRIL 21, 2015

Yes – we can take historical data and train a binary classifier, but it suffers from a lot of issues (such as observation bias, feedback loops, etc). Focusing on a particular niche makes it easier to build something that works off the shelf. Then there’s a ton of startups: PredictionIO ($2.7M funding), BigML ($1.6M

Artificial Inteligence 119

Artificial Inteligence Machine Learning Off-The-Shelf Cloud 119

O'Reilly Media - Ideas

NOVEMBER 22, 2022

To help us understand technological health, we asked several CTOs in the Asia-Pacific (APAC) region what their companies are doing to prevent security incidents, how they use open source software, how they use technology strategically, and how they retain employees in a challenging job market. Being Proactive About Security.

Open Source 110

Open Source Engineering Culture Weak Development Team Fractional CTO 110

Erik Bernhardsson

APRIL 21, 2015

Yes – we can take historical data and train a binary classifier, but it suffers from a lot of issues (such as observation bias, feedback loops, etc). Focusing on a particular niche makes it easier to build something that works off the shelf. Then there’s a ton of startups: PredictionIO ($2.7M funding), BigML ($1.6M

Artificial Inteligence 100

Artificial Inteligence Machine Learning Off-The-Shelf Cloud 100

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. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Continuing investments in (emerging) data technologies.

Trends 109

Trends Data Artificial Inteligence Machine Learning 109

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. However, the concept is quite abstract.

DevOps 145

DevOps Data Software Review Technical Advisors 145

O'Reilly Media - Ideas

JANUARY 17, 2023

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure.

Software Review 145

Software Review Development Team Review Machine Learning Artificial Inteligence 145

Openxcell

MARCH 24, 2025

Beyond software development, costs stem from data infrastructure, regulatory compliance, training, and ongoing advancements. Development and Customization Costs Building AI-powered healthcare solutions needs extensive research, data training, and algorithm development. billion in 2022 and is projected to reach $187.95

Healthcare 40

Healthcare Compliance Training Systems Review 40

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 111

Artificial Inteligence Training Off-The-Shelf Metrics 111

O'Reilly Media - Ideas

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before.

Product Management 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

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. Along the way, you and your data labeling team will find better ways to label training data for improved quality and model performance.

Tools 88

Tools Data Technical Review Open Source 88

Tenable

MARCH 28, 2025

For example, to mitigate supply chain attacks against generative AI systems, NIST recommendations include: Verify that data downloaded from the web for training AI models hasnt been tampered with: Do a basic integrity check in which the data provider publishes cryptographic hashes and the downloader verifies the training data.

Artificial Inteligence 70

Artificial Inteligence Off-The-Shelf Artificial Intelligence Machine Learning 70

Palo Alto Networks

APRIL 23, 2019

If the applications are open source or off-the-shelf, make sure to patch regularly and be sure to patch critical security flaws immediately. When building your applications, ensure your developers are trained to use secure coding practices and continuously examine the apps for potential flaws.

Programming 89

Programming Cloud Off-The-Shelf Software Review 89

AWS Machine Learning - AI

MARCH 18, 2025

Large language models (LLMs) are trained to generate accurate SQL queries for natural language instructions. However, off-the-shelf LLMs cant be used without some modification. Streamlit This open source Python library makes it straightforward to create and share beautiful, custom web apps for ML and data science.

Artificial Inteligence 91

Artificial Inteligence Applications Generative AI Off-The-Shelf 91

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 83

Insurance Artificial Inteligence Data Open Source 83

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. In health care, several applications have already moved from science fiction to reality. In health care, several applications have already moved from science fiction to reality. are written in English.

System 111

System Off-The-Shelf Artificial Inteligence Machine Learning 111

O'Reilly Media - Ideas

JULY 15, 2019

Sources of model risk. This is consistent with something ML developers have long known: models built and trained for a specific application are seldom (off-the-shelf) usable in other settings. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI? credit scores ).

Artificial Inteligence 21

Artificial Inteligence Machine Learning Banking Enterprise 21

Netflix Tech

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

System 94

System Artificial Inteligence Machine Learning Open Source 94

Palo Alto Networks

APRIL 23, 2019

If the applications are open source or off-the-shelf, make sure to patch regularly and be sure to patch critical security flaws immediately. When building your applications, ensure your developers are trained to use secure coding practices and continuously examine the apps for potential flaws.

Programming 71

Programming Cloud Off-The-Shelf Software Review 71

A List Apart

SEPTEMBER 13, 2018

Even in developed nations, people on mobile devices see spotty coverage, flaky wifi connections, and coverage interruptions (like train tunnels or country roads). In early 2013, less than 14% of all web traffic came from mobile devices; today, that number has grown to 53%. UX and performance have issues in practice. My sister loves dogs.

Weak Development Team 86

Weak Development Team Development Open Source Off-The-Shelf 86

A List Apart

JUNE 14, 2018

It started off as an honest problem with a brilliant solution. As the ways we use the web continue to grow and evolve, we, as its well-intentioned makers and stewards, needed something better than making simple collections of pages over and over again. In order to achieve what they promise, they should be adaptable, flexible, and scalable.

Weak Development Team 105

Weak Development Team Systems Review Off-The-Shelf Transportation 105

Altexsoft

AUGUST 22, 2019

And we’ll cap it off referencing the key route optimization providers and their APIs for integration. Source: University of Waterloo. What connects businesses as different as van line, meal delivery, and a laundry collection company? It’s the need to plan daily routes with multiple stops. What’s your Vehicle Routing Problem?

Software Review 15

Software Review Software Windows How To 15

Confluent

SEPTEMBER 25, 2019

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. This has become a kind of shorthand for the investment thesis behind Silicon Valley’s current wave of unicorn startups. This is a business process that predates computers entirely.

Company 56

Company Software Retail Banking 56

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. Plus the name sounded cool for an open-source project.”. We say ‘xerox’ speaking of any photocopy, whether or not it was created by a machine from the Xerox corporation.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Tenable

AUGUST 12, 2022

In the opening keynote, “Black Hat at 25: Where Do We Go from Here?,” Topics that are top of mind for the week ending Aug. Here’s what caught our attention at the event. A look back and a look ahead. Chris Krebs addressed thorny questions facing the cybersecurity industry and community: Why are things so bad right now? Will it get worse?

Open Source 52

Open Source Software Review Weak Development Team Technical Review 52

Tenable

AUGUST 12, 2022

In the opening keynote, “Black Hat at 25: Where Do We Go from Here?,” Topics that are top of mind for the week ending Aug. Here’s what caught our attention at the event. A look back and a look ahead. Chris Krebs addressed thorny questions facing the cybersecurity industry and community: Why are things so bad right now? Will it get worse?

Open Source 52

Open Source Software Review Weak Development Team Technical Review 52

Altexsoft

JUNE 11, 2021

It seems pretty straightforward: well, you just heat up milk or boil water, dump those flakes in the bowl, and add fruits, berries, honey, or other yummies you like. And now, try to think about each step: is there any way you can make it faster? Say, how many extra moves are you making because the ingredients are located in different areas?

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Altexsoft

JULY 19, 2019

While it’s still a good example, automation solves not only physical labor issues but also the white-collar type of tasks. In the last ten years, a new technology aimed at automating clerical processes emerged. The subset of automation concerning specifically business processes is called robotic process automation or RPA.

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence Analysis Technology 78