Sessions Library
Browse the completed sessions we have already offered.
Watch each one, anytime, or download the slides to dive into the data.
Developer Communities:
How & where to engage with developers
In this collaborative Session, SlashData is talking about developer communities, sharing the latest available insights from our global survey. We are looking at where developers go to seek information, what types of information they’re looking for, and the support and interaction they expect from the community and vendors. Stack Overflow presents how to use developer community activity to define opportunity and how Collectives addresses developers’ needs.
Which developers are working on Generative AI projects?
In this session we will look at what developers have to say about working on Generative AI projects. Generative AI seems to have taken the world by storm, introducing new productivity tools and even passing medical and bar exams. While the tech industry seems to still working out what this will mean for the future, we will take a look at the people at the heart of the revolution, developers.
The inside view on running a Developer Program
In this session, you will access direct insights on how professionals run their developer program. We will look into the data from our latest Developer Program Leaders survey, where we asked industry professionals to tell us what they do all day, how they measure success and more. The results shown come from our latest Q2 2021 survey and the responses of 96+ developer marketing, relations, advocacy or evangelism professionals
Machine Learning Developers & their Data
In this session, we look into Machine Learning, Artificial Intelligence and Data Scientists and the data they work with. The results shown come from our latest Q1 2021 survey wave and the responses of 19,000+ developers.
What you will learn
-
Types of data that ML/AI/Data Scientists work with
-
How many ML/AI/Data Scientists work on each type
-
Which types are frequently used together
-
The professional / hobbyist/student mix in the ML/AI/Data Scientists data ecosystem
-
Industry application areas for different data types
-
The size of unstructured training data ML/AI/Data Scientists use
What makes a developer program successful?
What makes a developer program successful?
We ran a survey to determine that. Developer Program strategists and practitioners answered our questions and we shared the answers in a session, answering the following questions:
-
FTE headcount for developer marketing, developer relations, and developer tooling activities.
-
Budget for developer marketing, developer relations, and developer tooling activities.
-
Estimate on what value an onboarded developer brings to an organisation over their lifetime.
-
How they justify the budget for their developer program to upper management?
The developer ecosystem
around
financial services & APIs
Tech inhabitant and the financial and banking world shows growing communities. We use our insights and data from 30,000 developers globally, to look into this growing community, and how we expect it to evolve. We discuss the usage and popularity of APIs in this industry, comparing it to the usage of APIs across all developers. See how popular banking and payment APIs are, but also who - which developer personas - use them, and what types of projects and applications they work on.
In this session, and based on data from our Developer Economics surveys that receive more than 30,000 responses annually, we will discuss the relative size of the API and non-API developer communities. We’ll look into community size and the profile of the developers who use third party, private or don't use APIs.
Some of the key questions we will be answering are: How many developers use APIs versus not? In which development areas is the APIs usage more prevalent? How does the profile of those who use internal/private APIs differ from those who use third party APIs? Are the less experienced developers using APIs more than the seasoned ones?
The API & Non-API
Developer
Communities:
How they differ in size and profile
Open source software is a big part of the developer world. Not only does every category of developer tools have at least some open source alternatives, but some areas are completely dominated by open source offerings. Furthermore, it’s a major part of developer culture, embodying the widely shared values of sharing code, knowledge, and best practices among developers.
Contribution to Open Source Software
Who and why?
In this session we explored who are the contributors to open-source software, their reasons for contributing, and how companies fit open source software into their businesses. We looked into how relevant the open source support offered by each of the non-profit organisations is.
Developer Psychographics
How developers perceive themselves
The developer population is as diverse as the technology choices they make. In this session we introduce software developers in their own words, as they shared them with us in our 17th Developer Economics survey. From logical and introverts, to sensing, night owls and artistic, we walk you through the mosaic of characters, and prove that a sizeable part of the developer community does not actually fit the typical geeky profile that you may have in mind. The session was presented by Christina Voskoglou, SlashData Director of Research.
Understand your developer audience
Understanding the psychographics of your developer audiences is key in building effective communication channels with them. We’ll show you how psychographic profiles differ across development sectors (such as web, augmented reality, and machine learning), age groups, roles, and more. One size does not fit all, and to maximise the return on your dev marketing budget you need to align your messaging with what appeals to your specific audience.
Where cloud
and machine
learning technologies meet
Developers are diverse in the sense that the vast majority of them are active in more than one software development areas and may be using different tools and technologies in each. Understanding their technology choices across the board can be the key to growing your developer audience and increasing the adoption of your tools and services.
Cloud and machine learning developers have a lot in common
Are you looking to expand your target audience for your cloud or machine learning technologies? Then you might want to consider reaching out to adjacent developer communities. Developers involved in both machine learning and cloud make up a large portion of the global developer population, and understanding their technology choices can help you fine tune your products and optimise your outreach efforts.
Mankind is diverse, so are developers.
Developers come in all shapes and sizes. Whether you group them by the technologies they use, their coding background, their professional status, their demographics or their motivations, the conclusion is the same. The developer population is not a single homogeneous mass that may be expected to behave in a coherent way.
Homogeneity comes with proper segmentation
How do you effectively target your marketing efforts when your developer audience is so diverse? The answer lies with segmentation.
To maximise return on your outreach efforts you need to segment the developer population into homogeneous groups that are more likely to respond to your outreach messaging.
Download the slides
Only want the slides?
Fill in this form to download the slides of your choice.