Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. But it’s a great time for a retrospective.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Altexsoft

FEBRUARY 19, 2019

As you build a product, your codebase keeps growing and, unless properly managed, can become a virtual Rubik’s cube for future developers to solve. How Continuous Integration works, starting from triggering a build in a version control system (VCS) Source: Django Stars. There are also self-hosted solutions. Library of reusable code.

Continuous Integration 90

Continuous Integration Comparison Weak Development Team Software Review 90

O'Reilly Media - Ideas

FEBRUARY 28, 2019

In a recent post , we described what it would take to build a sustainable machine learning practice. Finally, sustainable machine learning means that as many aspects of product development as possible are automated: not just building models, but cleaning data, building and managing data pipelines, testing, and much more.

Machine Learning 108

Machine Learning Artificial Inteligence Applications Weak Development Team 108

TechCrunch

JANUARY 16, 2021

Now tech companies across industries are poised for an even better year, according to more than a dozen investors we talked to in the country. Also, significant experience and know-how have been accumulated here in big data analytics. A few highlights in our portfolio include AppsFlyer, JoyTunes, Riskified, Talkspace and Guardicore.

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. People analytics is the analysis of employee-related data using tools and metrics. Descriptive analytics is used to gather and analyze data that represents the current state of things or historical events.

Analytics 16

Analytics Company Off-The-Shelf How To 16

AWS Machine Learning - AI

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

Generative AI 126

Generative AI AWS Artificial Inteligence Software Review 126

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. Virtual and augmented reality are technologies that were languishing in the background; has talk of the “metaverse” (sparked in part by Mark Zuckerberg) given VR and AR new life? To understand the data from our learning platform, we must start by thinking about bias.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

LeanEssays

JULY 14, 2019

No longer was it practical for experts to write requirements and send them to a support group where programmers wrote code and testers wrote corresponding tests and then reconciled the two versions of the requirements; finally, after weeks, months or even years, a big batch of new code was released to consumers (aka.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

Altexsoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64