CIO

SEPTEMBER 29, 2023

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Generative AI 356

Generative AI ChatGPT Machine Learning Artificial Inteligence 356

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

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

TechCrunch

MAY 10, 2022

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

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

Mobilunity

AUGUST 3, 2021

While Big Data has come far, its use is still growing and being explored. Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

CIO

MARCH 13, 2023

Signs of a tech talent shift are under way, with IT pros increasingly turning away from Silicon Valley and tech stalwarts in favor of new roles outside the technology industry. Now, with the recognition that technology fuels all businesses, they can pretty much find those opportunities at almost any company.

Healthcare 246

Healthcare Real Estate Machine Learning Artificial Inteligence 246

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes.

Analytics 102

Analytics Technical Review Technology Applications 102

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

CIO

APRIL 3, 2023

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. 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.

Sport 172

Sport Artificial Inteligence Coaching Games 172

CIO

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. Second, be equipped with tons of learning agility and genuine curiosity to learn.

Artificial Inteligence 357

Artificial Inteligence Azure IoT Analytics 357

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%. CIOs and CTOs have a crucial role in avoiding those pitfalls when it comes to gen AI.

Generative AI 198

Generative AI Off-The-Shelf Architecture Infrastructure 198

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.” ”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

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.” years,” Bechtel says.

Trends 301

Trends Recruiting Culture Quality Assurance 301

Apiumhub

SEPTEMBER 5, 2023

Do you like technology events? Are you passionate about learning and connecting with other professionals? Compass Tech Summit: 5-in-1 Conferences Reinforce Reinforce is an international Artificial intelligence and Machine Learning hybrid conference as part of the Compass Tech Summit.

Conference 77

Conference Artificial Inteligence UI/UX Artificial Intelligence 77

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 302

Analytics KPI IoT Azure 302

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. This event is set to be one of the largest technology gatherings in Central Europe for the upcoming autumn season.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

O'Reilly Media - Ideas

APRIL 25, 2019

In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping.

Company 84

Company Data Machine Learning Artificial Inteligence 84

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Mobilunity

MAY 20, 2023

In today’s fast-developing digital age, the technology industry has emerged as a key factor in national and international economies. Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

The Accidental Successful CIO

JANUARY 25, 2023

The growing adoption of these products follows a classic pattern in the tech evolution, where technology turns every employee into a programmer. 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.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

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

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

Capgemini

MARCH 16, 2023

The life sciences industry has long been driven by the need to develop and exploit solutions as quickly as possible, leading to it being very much at the forefront of technological innovation. Some examples of technological innovation in life sciences are: Graph technologies in drug discovery.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

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

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 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. It uses statistical algorithms, machine learning techniques, and modeling to make predictions about what might happen.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. The data can be used with various purposes: to do analytics or create machine learning models. Data engineer. Who is ETL Developer?

Development 44

Development Software Engineering Data Engineering Architecture 44

Apiumhub

AUGUST 12, 2021

Code Europe serves as a platform for the exchange of best practices and experiences between enthusiasts and world-class experts of the new technology industry. Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Twitter: [link] Linkedin: [link].

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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 129

Weak Development Team Data Technical Review Survey 129

Existek

SEPTEMBER 28, 2023

Responsibilities of AI engineers Requirements to hire AI developers Where to find AI developers? Considering the rapid pace of technological advancements, we can’t underestimate the maturation of AI. They bring expert knowledge and skills to build AI-powered software, offering innovative solutions. How to hire AI developers?

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

DataRobot

SEPTEMBER 14, 2021

AI is a generation-defining technology with the potential to reshape every industry , every business service, every customer interaction. . AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

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

O'Reilly Media - Ideas

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Ethical OS also provides excellent tools for thinking through the impact of technologies. Though these concepts may be simple to understand, they aren’t as easy in practice. Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Netflix Tech

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 40

AWS Open Source Linux Off-The-Shelf 40