AWS Machine Learning - AI

JUNE 21, 2024

A foundation model (FM) is an LLM that has undergone unsupervised pre-training on a corpus of text. eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake. A foundation model (FM) is an LLM that has undergone unsupervised pre-training on a corpus of text.

Artificial Inteligence 100

Artificial Inteligence Generative AI AWS Serverless 100

d2iq

FEBRUARY 19, 2021

As little as 5% of the code of production machine learning systems is the model itself. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. These tasks are usually split over a data engineer, a data scientist, and a machine learning engineer.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

AWS Machine Learning - AI

JANUARY 26, 2024

Plan for rollback and recovery from production security events and service disruptions such as prompt injection, training data poisoning, model denial of service, and model theft early on, and define the mitigations you will use as you define application requirements.

Artificial Inteligence 125

Artificial Inteligence Generative AI Security Applications 125

O'Reilly Media - Ideas

JULY 16, 2020

Pseudogen — [open source] tool to automatically generate pseudo-code from source code. Implements Learning to Generate Pseudo-code from Source Code using Statistical Machine Translation and is written up in Pseudogen: A Tool to Automatically Generate Pseudo-code from Source Code.

Software Review 53

Software Review Open Source Data Engineering Games 53

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. We already have good standards for data ethics.

Data 178

Data Weak Development Team Software Review Culture 178

Altexsoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Not all language models are as impressive as this one, since it’s been trained on hundreds of billions of samples. Any ML project starts with data preparation.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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). Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Product Management 136

Product Management Artificial Inteligence Machine Learning Weak Development Team 136

O'Reilly Media - Ideas

NOVEMBER 13, 2018

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. In our own online training platform (which has more than 2.1

Machine Learning 90

Machine Learning Artificial Inteligence Software Review Conference 90

Altexsoft

JUNE 11, 2021

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. Process mining and RPA.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Xebia

FEBRUARY 25, 2024

This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Code is made available here. We recommend you to follow along with the code while going through the technical part of this post.

Applications 130

Applications Technical Review Software Review Open Source 130

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. But AI is going to bring changes to almost every aspect of the software industry. This has been a strange year. What will those changes be?

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

John Snow Labs

MAY 24, 2023

Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. For instance, we need specialized tools to prepare annotations in an expected format to feed into the training pipelines.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Source : The Phoenix Project. CI /CD for data operations.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

OCTOBER 8, 2021

With data integration, you have all information available in a single interface resulting in more efficient, faster querying and analytics. At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Source: Python Developers Survey 2020 Results. In Python, the source code is compiled into the intermediate format called bytecode. many others. How Python is used. Interpreted.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

O'Reilly Media - Ideas

MARCH 1, 2023

In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. A lot has happened in the past year. We use units viewed because it measures what people actually do on our platform.

Trends 131

Trends Technical Review Technology Software Review 131

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Netflix Tech

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Data 82

Data UI/UX Systems Review Software Review 82

Abhishek Tiwari

JULY 20, 2019

Warehouse engineering squad - managing software services related inventory, stocktake, dispatch, allocation, transfer, robotics, etc. Customer experience engineering squad - focus on end-to-end customer life-cycle, marketing, targeting, personalisation, loyalty, etc. You want to move fast. How is that even possible?

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

MARCH 16, 2021

So, what is Big Data, and what actually makes it Big? In short, this term relates to large amounts of data — both structured and unstructured — that are too voluminous or complex to be processed with traditional software tools. Let’s take a quick look at the big data infrastructure.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

O'Reilly Media - Data

MARCH 22, 2018

At DataScience.com , where I’m a lead data scientist, we feel passionately about the ability of practitioners to use models to ensure safety, non-discrimination, and transparency. Moreover, a model’s performance plateaus over time when trained on a static data set (not accounting for the variability in the new data).

Off-The-Shelf 118

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

O'Reilly Media - Ideas

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 127

Enterprise Survey Technical Review Weak Development Team 127

Altexsoft

APRIL 26, 2022

Traditionally, it is a relational database that stores all data in tables and allows users to run SQL (Structured Query Language) queries on it. By the type of deployment, data warehouses can be categorized into. BTW, we have an engaging video explaining how data engineering works. What is Snowflake? Zero management.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 2, 2020

A data architect focuses on building a robust infrastructure so that data brings business value. Data modeling: creating useful and meaningful data entities. Data integration and interoperability: consolidating data into a single view. Snowflake data management processes. The platform includes.

Strategy 64

Strategy Database Administration Data Technical Review 64

Cloudera

DECEMBER 12, 2018

I was part of this migration project, and then after undergrad, I went on to be a software engineer for a utility company, who was using DB2 on the mainframe and migrating to Oracle on Unix. Could you give our readers a better understanding of what that actually means relative to open source solutions?

Data 42

Data Marketing Storage Big Data 42

Coforge

AUGUST 20, 2019

As a practitioner, what I have observed, is that ML projects adhere to the 90–90 rule (The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for the other 90 percent of the development time). Effective training programmes are essential.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Automated machine learning or AutoML is the process of reducing manual work in the machine learning pipeline with the help of special software tools. Algorithm selection.

Machine Learning 59

Machine Learning Artificial Inteligence How To Open Source 59

Apiumhub

APRIL 8, 2021

He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He is an advisory board member for the Big Data training category at Simplilearn and an online education provider. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? For example, interest in security, after being steady for a few years, has suddenly jumped up, partly due to some spectacular ransomware attacks. What does that mean for the way software is designed and built?

Trends 107

Trends Technical Review Technology Artificial Inteligence 107

UruIT

APRIL 27, 2020

According to the Harvard Business Review , over the next five to 10 years, “business gains will likely stem from getting the right information to the right people at the right time”. Before we break them down, let’s review what a strong development platform might look and feel like, what it should include and provide.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

UruIT

JULY 23, 2019

If so, you’re about to join thousands of software development and data science teams that are applying Machine Learning in their projects and taking advantages of the benefits that this AI discipline offers for creating smart apps. . It includes pre-trained services for computer vision, language, recommendations, and forecasting.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Altexsoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data democratization.

Data 59

Data Technical Review Software Review Open Source 59