Webinar – AI in Software Development: Trends to Watch in 2025
You can help the more innovative software professionals in your team to experiment with AI tools, but without team-wide adoption it will often produce limited results. At DevOn we are scaling AI-powered software development to 300 professionals, from developers and testers to DevOps and product, co-ordinating their approaches to produce compounding gains from AI.
In this webinar, we’ll share key lessons from our AI adoption journey at DevOn, which started in 2024, and discuss what the future will look like in 2025. Our focus will be the unexpected barriers and breakthroughs we encountered, because just like AI, we have learned much more in the tougher parts of the journey, i.e. after we turned on copilots.
We will discuss these lessons as five “surprises” that, looking back, are not earth-shattering, but were key to us identifying how to get the most meaningful impacts on our engineer’s day to day work. These insights should help others avoid common mistakes and misconceptions and find their own way to meaningful value faster. Each surprise answers one of these questions:
- Which software professionals adopt AI more easily?
- How much of which data do you need for AI to work well?
- Where in the SDLC is the most additional value created with AI?
- Why do individual gains aggregate (or not) to team-level improvements?
- When will it feel like a “transformation” has taken place?
Attendees will walk away with a better understanding of the key factors that make AI
adoption successful, the critical challenges to anticipate, and how to engage large teams
in the transition.
Throughout the webinar, we will illustrate our findings with specific cases, explained
by the DevOn colleagues who identified and evaluated them.
Why attend?
This webinar is designed for leaders in SaaS product companies, with typical attendees being CXOs, Heads of Software Engineering, Product Owners, Innovation Managers, and Delivery Managers who are looking for exclusive insights into the latest AI-driven trends that will shape the future of software development. Whether you’re responsible for technical leadership, product strategy, or innovation, this webinar will equip you with the knowledge to harness AI’s power for competitive advantage in 2025.
Key takeaways include:
Latest AI trends: Understand the top AI technologies transforming software development, and how they will impact the SaaS industry.
AI for productivity and efficiency: Learn how AI can streamline development processes, improve code quality, and reduce time-to-market.
Real-world use cases: Gain insights from real-world applications of AI in software development and the tangible benefits it delivers to SaaS products.
Scalability and innovation: Explore how AI can help SaaS companies scale faster, innovate, and stay ahead of the competition.
Actionable strategies: Leave with practical, actionable steps to implement AI in your organization’s development strategy.
Don’t miss this opportunity to stay at the cutting edge of AI in software development and ensure your organization is prepared for 2025.
Who is this for?
- SaaS companies looking to drive innovation and modernization within their organizations.
- Project managers and product owners seeking to understand how AI can improve development speed, accuracy, and scalability.
- Software Development Directors, VPs & Managers looking to increase their team’s efficiency and productivity while increasing developer happiness.
Agenda
Webinar – AI in Software Development: Trends to Watch in 2025
| 11:00 – 11:20 | DevOn’s journey to AI-accelerated Software Delivery – Shaun McGirr |
| 11:20 – 11:40 | Catapulting developers beyond AI code completion – Pramod Sridhar |
| 11:40 – 12:00 | How far left can AI shift testing and quality? – Sourabh Singh |
| 12:00- 12:20 | Predictions for 2025 – Panel Discussion |
| 12:20 – 12:30 | Q&A |
Webinar:
Topic: AI in Software Development: Trends to Watch in 2025
Date: Thursday, 12th December 2024
Time: 11:00 AM – 12:30 PM CET | 10:00 AM – 11:30 AM GMT
Meet your Speakers
Shaun McGirr
Shaun McGirr is a data & AI leader with 20 years of varied experience across official statistics, academia, consulting, automotive, and software. He achieved minor stardom in the 2019 documentary Data Science Pioneers, coining the phrase “things that happen 35% of the time, happen ALL the time” to explain why quite likely outcomes are often dismissed out of hand.
Sourabh Singh
Sourabh is a seasoned QA professional with over 12 years of experience in testing web and enterprise applications, proficient in Java and JavaScript. Adept at automating front-end and API testing, with extensive knowledge of the entire software development lifecycle. Skilled in ensuring high-quality deliverables and optimizing testing processes for dynamic web projects.
Pramod Sridhar
Pramod is a seasoned Software Development expert with over 13 years of experience architecting solutions across CRM, Finance & Leasing, and E-commerce domains. His expertise spans across the entire software development. A thought leader in AI adoption, Pramod contributes to the tech community through webinars and meetups on practical AI implementation strategies and their impact on software development
Whitepapers
AI Enhanced Productivity in the world of Enterprise Software Development
Artificial Intelligence (AI) has emerged as a game-changer in various industries, and software development is no exception. AI productivity in software development refers to using AI technologies and techniques to enhance the software development life cycle’s efficiency, quality, and speed. By leveraging AI-powered tools and algorithms, developers can automate repetitive tasks, generate code, detect bugs, and optimize processes, leading to significant productivity gains.
Harnessing Artificial Intelligence for Enhanced Cybersecurity
The rapid digitization of various sectors has led to an exponential rise in cyber threats, compelling organizations to adopt innovative approaches to cybersecurity. This paper explores how Artificial Intelligence (AI) has emerged as a potent tool in fortifying cybersecurity defenses in areas such as threat detection and prevention, vulnerability assessment, and incident response.
