Knowledge Hut

APRIL 16, 2024

One of the leading roles of a Scrum master is to foster the development of a self-managing team. Self-organizing teams can function effectively without the oversight of a manager or other external authority. Team members on a self-organizing team are not told how to get their jobs done.

Building 78

Building Certification Project Management 78

DataKitchen

APRIL 11, 2024

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. The goal is to reduce errors and operational overhead, allowing data teams to focus on delivering value.

Manufacturing 62

Manufacturing High Quality Data Data Pipeline Data 62

Data Engineering Podcast

JULY 2, 2023

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. Summary Feature engineering is a crucial aspect of the machine learning workflow.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Lyft Engineering

JUNE 8, 2023

and hiring for full-time positions on end-to-end product, science, and engineering teams. We’ve been in Europe for four years, with over 400 team members in the region. Our Czechia teams will be part of a distributed Lyft tech community, with offices in the U.S., Introducing Lyft Engineering: Hello Czechia!

Transportation 101

Transportation Algorithm Machine Learning Engineering 101

Hevo

MARCH 28, 2024

What is a high performing team? This popularity was not just about individual brilliance but resulted from Google’s high-performing Android team. Google followed certain principles for running the Android team with high-performance […] You know how popular Google is now.

Data 52

Data Systems IT 52

Knowledge Hut

APRIL 17, 2024

Let us see how we could use this boomerang to empower our teams: The strength of every scrum team is based on how well its team members collaborate with each other. The primary responsibility of a Scrum Master / Coach is to build a strong bonding among his / her team members. Because “Positivity” is like a boomerang!

Utilities 52

Utilities Building Management Project 52

Lyft Engineering

APRIL 24, 2024

TLC’s mission is “ to equip Data Science team members with the technical knowledge and skills that are applicable to their work and helpful to their career advancement.” If you are excited to be part of Lyft’s data science team, explore opportunities on our careers page.

Data Science 58

Data Science Building Computer Science Software Engineer 58

LinkedIn Engineering

DECEMBER 19, 2023

Now more than ever, developers are navigating so much change and new opportunity in this new era of Generative AI, so ensuring teams have the systems, processes, metrics and feedback systems to be successful is paramount. This describes how to solve one of the most difficult problems in this space, “How do I choose what to measure?”

Data Schemas 121

Data Schemas Software Engineer Software Engineering Data Pipeline 121

Monte Carlo

FEBRUARY 9, 2024

A lot of organizations want to talk about AI, but it’s tough to find teams that are actually leveraging it in a meaningful way. Now the PayNearMe team is working in the same direction as they leverage GenAI to maximize the value of their extensive knowledge base to their customers. “At And the first step for Dustin’s team?

Data 64

Data High Quality Data Architecture Coding 64

Data Engineering Podcast

NOVEMBER 13, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. For organizations that have an existing data team, how does the platform augment/simplify their work?

Building 130

Building Metadata MongoDB MySQL 130

Knowledge Hut

APRIL 16, 2024

Incorporating team values, especially in Agile teams, is critical to creating a work culture that is collaborative in the first place. It forms the bigger roof that brings together all team members and fosters unity. What is a high-performing Agile team?

Project 52

Project Building Certification Management 52

Knowledge Hut

APRIL 16, 2024

And with “too late” I mean that it had a huge impact on the project or team. If you read on, you will understand better the importance of employees productivity followed by the outcomes the team gets. First of all, Velocity is not an indicator of performance: It just denotes the delivery rate of a specific team.

IT 52

IT Project Media Management 52

Knowledge Hut

APRIL 16, 2024

Or are your objectives for the staff to bond a bit better, communicate and build team spirit that can create a positive atmosphere at your workplace? Spend time to understand the business outcomes that the solution is trying to achieve and know the key principles for high-performing Agile teams.

Architecture 52

Architecture Education Project Designing 52

ArcGIS

NOVEMBER 14, 2023

from the Geodatabase Team. Here's everything new in ArcGIS Pro 3.2 Schema Reports, 64-bit OIDs, Big Integer fields, new date fields, etc.

Data Management 124

Data Management Management Data 124

Monte Carlo

MARCH 18, 2024

However, in order to realize the potential value of AI, we’ll first have to start thinking critically about how we develop AI applications—and the role data teams play in it. So, now that we’ve taken a 30,000-foot look at some of these ethical concerns, let’s consider the data team’s responsibility in all this.

Building 64

Building Healthcare Data Database 64

DareData

APRIL 2, 2024

Why Do You Need an AI Team? So, why would you go through the hassle of building/hiring an AI team? Competitive Advantage: An AI team equipped with technical skills and expertise will enable your business to stay ahead of the AI curve. The Big Catch - It's hard and requires a lead Building an AI team is extremely hard.

Machine Learning 52

Machine Learning Manufacturing Algorithm Retail 52

Snowflake

AUGUST 7, 2023

Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success. Read on to learn about Fleitas’ founder journey and why his team chose to build on Snowflake.

Finance 90

Finance Banking Data Science Technology 90

Knowledge Hut

APRIL 16, 2024

However, a scrum master is not the ‘leader’ of the team, and can only guide them. Sprint: A sprint is a period of usually two or four weeks in which the tasks on the sprint backlog have to be accomplished Important differences A scrum team consists of programmers, developers, software experts, UX designers and sometimes even UI designers. .

Designing 52

Designing Project Programming Systems 52

Towards Data Science

APRIL 17, 2023

Data teams are more important than ever before — but they need to get closer to the business. Over the past decade, data teams have been simultaneously underwater and riding a wave. For data teams, the bill has come due. Of course, data teams didn’t go rogue. In other words, data teams need to get closer to the business.

Data 97

Data Data Engineering Data Engineer Engineering 97

Towards Data Science

JUNE 8, 2023

We examine which team structures are the best suited for efficiently improving data quality. Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. Data leaders need to understand how each team and capability fits together. Specialists or generalists?

Data Governance 78

Data Governance Government Generalist Data Engineering 78

Knowledge Hut

JANUARY 11, 2024

A sprint is a set period during which the team is expected to finish a specific task. The team reviews their performance and discusses ways to improve the work at the end of each sprint. Implementing the best Agile practices can help leverage your Agile team and make it effective.

Programming 52

Programming Project Certification Utilities 52

Monte Carlo

AUGUST 21, 2023

After executive leadership vaguely promised stakeholders that new Gen AI features would be incorporated across the organization, your tiger team sprinted to produce a MVP that checks the box. Tiger teams can’t sprint forever. Integrating that OpenAI API into your application wasn’t that difficult and it may even turn out to be useful.

Data Science 98

Data Science Machine Learning Media Data 98

databricks

MARCH 29, 2024

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

Data Ingestion 82

Data Ingestion Management Data Entertainment 82

KDnuggets

OCTOBER 11, 2022

A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.

Data Science 160

Data Science Building Data 160

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Teams under the CDO and CAO are sometimes separate from the CIO. A centralized data or IT team maintains data platforms utilized by self-service users spread across the organization.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

Jesse Anderson

MARCH 30, 2022

Data Teams are like Role Playing Games (RPG). Data teams have three main classes: data scientist, data engineer, and operations engineer. A common issue is to try to have a data team made up solely of data scientists. The stats for the coding skill can vary significantly on a data team, from non-existent to mastery.

Coding Skills 100

Coding Skills Big Data Machine Learning Data 100

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth. centralized vs. embedded data pros, etc.)

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Towards Data Science

APRIL 6, 2023

Alternatively, end-to-end tests, which assess a full system, stretching across repos and services, get overwhelmed by the cross-team complexity of dynamic data pipelines. Cost : If you have a small eng team but budget is no barrier, skew towards a third-party solution. Or even just a little bit. SelectStar).

Unstructured Data 81

Unstructured Data Metadata Data Coding 81

DataKitchen

MARCH 5, 2024

Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. Your team is on top of things, deliveries are on schedule (you think), and no major complaints are making their way to your desk.

Data 60

Data Data Management Management Systems 60

KDnuggets

MARCH 13, 2020

The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

Machine Learning 115

Machine Learning Building Process Data Science 115