CIO

APRIL 3, 2023

From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience. Now we have a full-scale R&D program.

Sport 201

Sport Artificial Inteligence Coaching Games 201

CIO

AUGUST 7, 2023

And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%. Without the right internal organization, even the most promising gen AI programs could fall short.

Generative AI 229

Generative AI Off-The-Shelf Architecture Infrastructure 229

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 334

Analytics KPI IoT Azure 334

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

CIO

JANUARY 10, 2023

Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.” Careers, IT Skills, Staff Management.

Trends 324

Trends Recruiting Culture Quality Assurance 324

The Accidental Successful CIO

JANUARY 25, 2023

Thanks to their easy-to-use interfaces, programs for these AI templates which are known as automated machine learning, or automated ML are even being used by data scientists themselves. The person in the CIO position needs to keep in mind that AI involves vast amounts of sensitive data and computing power.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 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). 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 Software Review 136

Apiumhub

AUGUST 12, 2021

The largest programming conference in Poland: September 21, 2021 | Ergo Arena 3cITy September 23, 2021 | PGE Narodowy Warsaw. Gema Parreño Piqueras – Lead Data Science @ApiumHub is among them! Happy to announce that you may find Apiumhub among top IT industry leaders in Code Europe event. Save the date! About Code Europe event.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Capgemini

MARCH 28, 2023

It’s how innovators like Amazon and Netflix were able to succeed so quickly and so often in their personalization programs. It’s also been critical for the dozens of successful personalization programs we’ve delivered at Capgemini. Design, editorial, and software engineering were fragmented. “It

Systems Review 52

Systems Review System Artificial Inteligence Technical Review 52

Existek

SEPTEMBER 28, 2023

They bring expert knowledge and skills to build AI-powered software, offering innovative solutions. Developers often have specialized roles based on their areas of expertise, like machine learning, computer vision, natural language processing, deep learning, robotics process automation, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. I agree; learn as much as you can.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

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. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Existek

JANUARY 11, 2022

They focus much attention on advancing user experiences utilizing AI, robotics, machine learning, IoT, etc. . Machine learning. Development Operations Engineer $122 000. Senior Sofware Engineer $130 000. Software Developer $106 000. Software Engineer $110 000. Data Engineer $130 000.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Adopting AI can help data quality.

Weak Development Team 125

Weak Development Team Data Technical Review Survey 125

StubHub

AUGUST 8, 2019

The group of 20 is a diverse mix of college, grad school and PhD students who hail from a variety of disciplines: computer science, data science, business, software engineering, design, informatics, applied mathematics and economics. A Place to Make an Impact Q: What attracted you to StubHub?

Technical Review 8

Technical Review Software Review Software Engineering Sport 8

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Please note! Apache Airflow.

Tools 52

Tools Software Review Systems Review Testing 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Erik Bernhardsson

JUNE 7, 2014

I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together. One thing I’ve learned is that excitement really counts.

Recruiting 101

Recruiting Weak Development Team Data Software Review 101

Erik Bernhardsson

JUNE 7, 2014

I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together. One thing I’ve learned is that excitement really counts.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

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 81

Data UI/UX Systems Review Software Review 81

Altexsoft

OCTOBER 3, 2019

Analytics insights allow human resource managers to make informed decisions related to employee lifecycle, such as recruitment, training, performance evaluation, compensation, or education program planning. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

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. It was very different from the traditional MPP SQL engines from, say, Oracle or Teradata. Greg Rahn: Sure. Greg Rahn: Oh, definitely.

Data 41

Data Marketing Storage Big Data 41

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

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 Artificial Inteligence 59