AI chatbots for problem-solving & Network APIs - Live Webinar
1 hour, 2 key topics
How much traction have AI chatbots gained over the last six months in the technology industry?
What does the developer adoption and implementation of network APIs look like?
Join us to get the answers and ask our experts your questions!
In this webinar, you will access data and insights that answer questions like:
Which roles and industries are experiencing the fastest growth in AI chatbot usage?
How has the overall adoption of AI chatbots changed over the past six months across different user groups?
How does AI chatbot usage differ between professionals, hobbyists, and students?
What regional trends are emerging in AI chatbot adoption?
What specific challenges or needs are prompting beginners and non-technical users to increasingly turn to AI chatbots for problem-solving?
What percentage of developers use network APIs?
Which regions have higher adoption rates of network APIs?
In what types of projects are developers using network APIs involved?
What functionalities of network APIs do developers use?
Meet the presenters
Álvaro Ruiz, Research Manager
Álvaro is a market research analyst with a background in strategy and operations consulting. He holds a Master’s in Business Management and believes in the power of data-driven decision-making. Álvaro is passionate about helping businesses tackle complex strategic business challenges and make strategic decisions that are backed by thorough research and analysis.
Bleona Bicaj, Senior Market Research Analyst
Bleona is a behavioral specialist, enthusiastic about data and behavioral science. She holds a Master's degree from Leiden University in Economic and Consumer Psychology. She has more than 6 years of professional experience as an analyst in the data analysis and market research industry.
Each topic has its own free-to-access, in-depth report: The rise of AI-chatbots for problem-solving & Network APIs: The new oil in the 5G economy
The survey behind the data
All data come from the independent State of Developer Nation survey which reached 9,000+ respondents around the world. As such, the Developer Nation series continues to be the most comprehensive independent research on mobile, desktop, Industrial IoT, consumer electronics, 3rd party app ecosystems, cloud, web, game, AR/VR and machine learning developers and data scientists combined ever conducted.
To eliminate the effect of regional sampling biases, we weighted the regional distribution across nine regions by a factor that was determined by the regional distribution and growth trends identified in our Developer Nation research. To minimise other important sampling biases across our outreach channels, we weighted the responses to derive a representative distribution for technologies used, and developer segments. Using ensemble modelling methods, we derived a weighted distribution based on data from independent, representative channels, excluding the channels of our research partners to eliminate sampling bias due to respondents recruited via these channels. Each of the separate branches: Industrial IoT, consumer electronics, 3rd party app ecosystems, cloud, embedded, augmented and virtual reality were weighted independently and then combined.