TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

InfoQ Culture Methods

NOVEMBER 27, 2024

Discover how to balance transparency, efficiency, and risk management for sustainable AI growth in your business. This article highlights key challenges and innovative practices as organizations navigate compliance with evolving guidelines like the EU AI Act. By Lexy Kassan

Fintech 85

Fintech Guidelines Sustainability Compliance 85

O'Reilly Media - Data

AUGUST 24, 2018

Sustaining wonder: Jupyter and the knowledge commons. Watch " Sustaining wonder: Jupyter and the knowledge commons.". Jupyter notebooks and the intersection of data science and data engineering. David Schaaf explains how data science and data engineering can work together to deliver results to decision makers.

Open Source 162

Open Source Journal Artificial Inteligence Machine Learning 162

CIO

APRIL 2, 2025

In this context, collaboration between data engineers, software developers and technical experts is particularly important. They are strategic partners who support companies not only in recognizing the potential of artificial intelligence, but also in exploiting it sustainably. Implementation and integration.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. The results for data-related topics are both predictable and—there’s no other way to put it—confusing.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

CIO

MAY 21, 2024

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over. The process took between 30 minutes and two hours.

Data 190

Data Azure Engineering Analytics 190

The Crazy Programmer

MARCH 14, 2020

According to a widely-cited McKinsey survey, only 16% of companies had successful digital transformations (as in, changes that brought improved performance that could be sustained over time). The existence of Instagram influencers, YouTubers, remote software QA testers , big data engineers, and so on was unthinkable a decade ago.

Artificial Intelligence 208

Artificial Intelligence Artificial Inteligence Survey Technology 208

Cloudera

NOVEMBER 19, 2021

An enterprise machine learning workflow from data engineers to business users. This means an ML model’s development, deployment, ongoing management and, ultimately, its sustained business value, hinge on a range of cross-functional team requirements: Data engineers need to make sure that the data is available, clean and up to date.

Artificial Inteligence 122

Artificial Inteligence Machine Learning eBook Data Engineering 122

Capgemini

MARCH 19, 2025

This presents a sheer challenge in global foundational learning hampering efforts made to achieve the learning goal as set forth in the Sustainable Development Agenda. Its a game-changer and it will help make education more effective around the world and enable our global community to commit to more sustainable development.

Generative AI 72

Generative AI Education Artificial Inteligence Policies 72

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. These things have not been done at this scale in the manufacturing space to date, he says. Smart manufacturing at scale.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

TIBCO - Connected Intelligence

APRIL 22, 2021

Adopting more sustainable business practices is a near-universal objective at organizations today. To guide your journey, ask yourself three questions: What are our best sustainable IT improvement opportunities? Your Best Sustainable IT Improvement Opportunities. Opportunity 1: Stop copying so much data. Conserve energy!

Sustainability 46

Sustainability Virtualization Data Energy 46

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 108

Trends Data Artificial Inteligence Machine Learning 108

OTS Solutions

MARCH 14, 2019

New teams and job descriptions relating to AI will need to be created by adding data scientists, data engineers and machine learning engineers to your staff. By bringing in AI talent to specific divisions, you’ll have a strong team who can help with recruitment and retention. Practice Participatory Design.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

Cloudera

APRIL 13, 2021

And while you’d be forgiven for thinking that it might sound too good to be true, operational ML is , in fact, achievable and sustainable. Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries. It’s a pie-in-the-sky statement that sounds great, right?

Artificial Inteligence 98

Artificial Inteligence Machine Learning Enterprise eBook 98

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. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. With that said, important challenges remain.

Big Data 107

Big Data Technology Tools Cloud 107

Apiumhub

NOVEMBER 20, 2023

Green Software Speakers Adam Jordan – Distinguished Software Engineer at Shell Dedicated software engineer, computer scientist, data scientist, and application security specialist with over two decades of experience delivering software solutions spanning diverse business sectors.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

AWS Machine Learning - AI

JUNE 18, 2024

This happens only when a new data format is detected to avoid overburdening scarce Afri-SET resources. Having a human-in-the-loop to validate each data transformation step is optional. Automatic code generation reduces data engineering work from months to days.

Generative AI 131

Generative AI Artificial Inteligence Technical Review AWS 131

Apiumhub

SEPTEMBER 5, 2023

It is a great opportunity, especially if you are interested in learning about the latest trends in the topic of data from top-notch speakers, deepening your knowledge in NLP, product sense, sustainable machine learning, or MLOps to elevate your business.

Conference 79

Conference Artificial Inteligence UI/UX Artificial Intelligence 79

InfoQ Culture Methods

JANUARY 19, 2022

Topics explored included: hybrid working and the importance of ethics and sustainability within technology. In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022.

Technical Review 91

Technical Review Sustainability Technology Artificial Inteligence 91

O'Reilly Media - Ideas

AUGUST 26, 2019

Among the fastest-growing topics are those central to building AI applications: machine learning (up 58% from 2018), data science (up 53%), data engineering (up 58%), and AI itself (up 52%). Overall content usage, across all topics combined, grew by 8% from 2018 to 2019 (January to July).

Artificial Inteligence 50

Artificial Inteligence Organization Machine Learning Artificial Intelligence 50

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Open Source 130

Cloudera

SEPTEMBER 23, 2021

That requires making permanent structural changes that can sustain speed in ways that will inspire and engage employees.” ” This is all about IT systems inside enterprises, which is where the data rubber meets the digital road.

Data 82

Data Sport Report Data Engineering 82

Perficient

JANUARY 4, 2024

From enhancing decision-making processes to revolutionizing customer interactions, the influence of AI has positioned enterprises at the forefront of a dynamic digital era, where adaptability and integration of cutting-edge technologies are paramount for sustained success.

Artificial Inteligence 72

Artificial Inteligence Artificial Intelligence Generative AI Pharmaceuticals 72

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. Moreover, it is a period of dynamic adaptation, where documentation and operational protocols will adapt as your data and technology landscape change.

Backup 82

Backup Cloud Architecture Resources 82

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . In conjunction with Coursera, Google Cloud offers hands-on training with specialized labs available via Qwiklabs , a learning lab environment for developers.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 88

Insurance Compliance Technical Review Banking 88

Cloudera

MAY 27, 2021

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. We need to find the place where software is useful to society and where humans are needed.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Perficient

DECEMBER 13, 2024

Healthcare organizations with modern data architectures, particularly those utilizing lakehouse architectures, show 74% higher success rates in AI implementation. Talent and Skills: Map current capabilities against future needs, considering both technical skills (AI/ML expertise, data engineering) and healthcare-specific domain knowledge.

Healthcare 52

Healthcare Generative AI Organization Technical Review 52

Cloudera

JANUARY 20, 2021

Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle. Fig 1: The Enterprise Data Lifecycle.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Altexsoft

OCTOBER 3, 2019

The ministry also started using workforce planning and analytics in such sectors as renewable energy and sustainability. We’ll tell how to establish and implement HR data collection and analysis with a step-by-step plan. Data engineer builds interfaces and infrastructure to enable access to data.

Analytics 16

Analytics Company Off-The-Shelf How To 16

O'Reilly Media - Ideas

JUNE 19, 2019

In previous posts, we’ve outlined the foundational technologies needed to sustain machine learning within an organization, and there are early signs that tools for model development and model governance are beginning to gain users. A collection of tools that focus primarily on aspects of model development, governance, and operations.

Government 98

Government Artificial Inteligence Machine Learning Testing 98

Netflix Tech

JUNE 6, 2022

Our hiring has reflected that shift, and we’ve added more dedicated software engineers (SWEs) to the team to help us build out software. With this shift, we’ve incorporated engineering best practices , and our products have appropriate investments toward reliability and sustainability.

Software Review 71

Software Review Software Engineering Scalability Engineering 71

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52