O'Reilly Media - Ideas

JULY 1, 2019

In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. We found that in several industries, 30% or more of respondents described their organizations as having a mature AI practice: Figure 1. Image by Ben Lorica.

Software Development 61

Software Development Artificial Inteligence Software Machine Learning 61

Apiumhub

AUGUST 12, 2021

The largest programming conference in Poland: September 21, 2021 | Ergo Arena 3cITy September 23, 2021 | PGE Narodowy Warsaw. Code Europe is the largest IT conference in Poland, offering great lectures, a huge selection of thematic sessions, and exhibition space. He has spoken at many conferences, user groups, etc., Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Newgen Software

JUNE 5, 2024

Financial institutions, notably banks, grapple with an immense wealth of data encompassing customer demographics, transaction records, and interaction data. During my recent trip to London for a conference focused on how big data influences customer experience in financial institutions, I had an intriguing encounter.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

Apiumhub

OCTOBER 7, 2021

Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar. Your feedback generates bugs in production by Eli Maruenda Joya – Engineering Manager at Holaluz.com, Inma Navas Peña – Software Engineer at MANGO. Organization.

Software Review 52

Software Review Software Development Technical Review 52

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 must create space for ethics within our organizations.

Data 179

Data Weak Development Team Software Review Culture 179

DataRobot

MAY 11, 2021

Data Exploration, Visualization, and First-Class Integration. Not only does this acquisition embrace the code-first data scientist, but it will also benefit developers, data engineers, and data analysts who seek to leverage the power of DataRobot’s platform in other areas of their organization.

Cloud 98

Cloud Sport Open Source Machine Learning 98

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: stages.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

O'Reilly Media - Data

JULY 18, 2018

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. Data liquidity in an age of privacy: New data exchanges.

Machine Learning 142

Machine Learning Artificial Inteligence Data Marketing 142

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. Data Platforms. Culture and organization. Model lifecycle management.

Machine Learning 90

Machine Learning Artificial Inteligence Software Review Conference 90

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. Annie brings her speaking expertise to various conferences and meetups.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. With that said, important challenges remain.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

DECEMBER 6, 2018

In this post, I share slides and notes from a keynote Roger Chen and I gave at the Artificial Intelligence conference in London in October 2018. This aligns with a recent overview on AI in China delivered by Kai-Fu Lee at our AI conference in San Francisco this past September. NIPS used to be a sleepy academic conference.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

Apiumhub

APRIL 18, 2019

The fifth edition of JBCNConf, The Java and JVM Conference , will take place on the 27th to 29th of May in CCIB in Barcelona. Also, Barcelona is always a one of the most preferred options for organizing international events. Who are the organizers of JBCNConf 2019? Oscar Sacristán Agulló – Data Engineer at Zara. &

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loosening: we were starting to go out in public, have parties, and in some cases even attend in-person conferences. We’re not sure what that means. The Last Word.

Survey 145

Survey Data Technical Review Training 145

Confluent

FEBRUARY 28, 2019

Michael has spoken at and helped organize numerous conferences. Andrea Santurbano is a data engineer at LARUS Business Automation (the integrator leader for Neo4j) with seven years of experience developing high-performance, mission-critical systems, and large-scale data pipelines across multiple and heterogeneous systems.

Open Source 87

Open Source Testing Data System 87

Existek

SEPTEMBER 28, 2023

RESPONSIBILITIES OF AI ENGINEERS It’s obvious that developers’ responsibilities vary depending on the specific role and the organization they work for. AI conferences and meetups It goes without saying that these events unveil the latest trends, research, and technologies in AI.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

MARCH 31, 2020

The biggest problems arise from taking shortcuts and assuming that a machine learning model that works for one application will perform well in a different context without looking at the underlying data. If you want to help customers organize pictures on their phones, spend some time on your phone, organizing pictures.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

O'Reilly Media - Ideas

FEBRUARY 11, 2020

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. Comparatively few organizations have created dedicated data quality teams. And that’s just the beginning.

Weak Development Team 126

Weak Development Team Data Technical Review Survey 126

CIO

DECEMBER 6, 2023

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

Generative AI 319

Generative AI Artificial Inteligence Technical Review Weak Development Team 319

Strategy Driven

AUGUST 27, 2015

It may seem an obscure data management distinction, but this shift toward collecting unstructured data – which is a large part of what Big Data is all about – is sending shock waves across traditional organizations.

Big Data 33

Big Data Data Storage Journal 33

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The emergence of infrastructure and ops suggests that organizations might be having trouble scaling DevOps. In practice, however, developers tend to be less committed to DevOps’ operations component, a fact that gave birth to the idea of site reliability engineering (SRE). A drill-down into data, AI, and ML topics.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

O'Reilly Media - Ideas

JULY 28, 2020

As Jez Humble said in a Velocity Conference training session, “Metrics should be painful: metrics should be able to make you change what you’re doing.” Unlike traditional software engineering projects, AI product managers must be heavily involved in the build process. Data Quality and Standardization.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Existek

JANUARY 11, 2022

In the light of the comparison of Azure vs AWS, it’s worth mentioning organizations that use the services of these providers. Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. Development Operations Engineer $122 000. Senior Sofware Engineer $130 000. Organization type.

Azure 52

Azure AWS Cloud How To 52

TIBCO - Connected Intelligence

NOVEMBER 4, 2019

And thus a new way, data virtualization, with its more agile, yet governed approach to data delivery is gaining momentum. It seemed like data virtualization was everywhere at the conference. Data Virtualization Dominates the TDWI Agenda. TIBCO and Partners at TDWI Munich Conference Booth.

Virtualization 4

Virtualization Artificial Inteligence Data Artificial Intelligence 4

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

DataRobot

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. 4 Data and analytics leaders, CDOs, and executives will increasingly work together to develop creative ways for data assets to generate new revenue streams.

Analytics 40

Analytics Artificial Inteligence Data Machine Learning 40

Altexsoft

JUNE 6, 2019

In March, the director of data science for Walmart Labs John Bowman told about their new demand forecasting solution at Nvidia’s GPU Technology Conference. GPUs provide a huge computational power, so systems that run on such hardware can efficiently analyze vast amounts of data and generate more accurate forecasting results.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

O'Reilly Media - Ideas

JUNE 19, 2019

Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Discussions around machine learning tend to revolve around the work of data scientists and model building experts. Source: Ben Lorica, using data from a Twitter poll.

Government 80

Government Artificial Inteligence Machine Learning Testing 80

O'Reilly Media - Ideas

JANUARY 25, 2024

That accounts for the sharp decline—and it’s fair to say that many organizations are paying the price for moving to microservices because it was “the thing to do,” not because they needed the scale or flexibility that microservices can offer. Designing enterprise-scale data storage systems is a core part of data engineering.

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Cloudera

DECEMBER 20, 2023

At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone. That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

Altexsoft

OCTOBER 23, 2019

Understanding that the startup multiverse can’t be put into a single mold, Atlanta Tech Village sorted its programs into several categories: Pre-Accelerator for diverse startup founders, Startup Summer School providing entrepreneurship classes, and Women+Tech , organizing events for female startup leaders. Access and Pricing.

Security 13

Security Artificial Inteligence Conference Data Center 13

StubHub

MARCH 1, 2019

Vaishali Gandhi , Head of Data Engineering & Delivery (San Francisco, CA): An organization that allows an individual to grow their career and fulfill their family duties is a “balanced” work environment. I am fortunate to work for an organization like StubHub. Learn more about contributor Rachel Williams here.

CTO Coach 40

CTO Coach Weak Development Team Leadership Culture 40

O'Reilly Media - Ideas

MARCH 2, 2020

Large teams present their own problems, but it’s ironic to see writers scorning the “two pizza group” concept because it can’t possibly work for large organizations. In any organization, answering those questions will say a lot about how Agile becomes self-parody. Can AI be a catalyst for improved data quality?

Agile 21

Agile Artificial Inteligence Weak Development Team SCRUM 21

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. It’s a sign of a great organization that you can always find a place for smart people.

Recruiting 101

Recruiting Weak Development Team Data Software Review 101

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. It’s a sign of a great organization that you can always find a place for smart people.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

Altexsoft

NOVEMBER 10, 2021

Since none of the above-mentioned options was a silver bullet, many organizations faced the need to use both together, e.g., one big data lake and multiple purpose-built data warehouses. This often resulted in increased complexity and costs as data should be kept consistent between the two systems. Let’s deal with them.

Architecture 52

Architecture Data Storage Machine Learning 52