Session Overview
More details coming soon...
More details coming soon...
Software test automation is a part of every development process nowadays. Many companies invest in the development of their own proprietary automation frameworks or buy existing ones. It is a foundation to an effective CI/CD pipeline. But how to prove that it is effective and reliable? How to measure and monitor its stability and relevance? With the growing intelligence of high-tech products, the continuous delivery process is becoming more challenging as well.
The complexity of the automation tools is a function of the complexity of the system they are attempting to test. Thus, the automation processes and technics evolve and adapt constantly. In this workshop, we will talk about test automation tools as a part of a software development process. What does a successful test automation framework consist of? How to maintain and keep it coordinated with the product development life cycle? The data analysis is based on almost a decade of experience in building test automation for smart devices with embedded software including IoT.
The Why: According to the statistics of “MarketsandMarkets Research”, the global test automation market size is expected to grow from $24.7 billion in 2022 to $52.7 billion by 2027. Building mature test automation is key for releasing software quality at speed, and as a result, being first on the market.
Key Takeaways:
This session is for… Software Automation Engineers, Quality Engineers, Project Managers, Software Engineers, Tech Leaders.
There have been a wide array of studies identifying different methods to address many of today’s societal issues and inequalities. Many of the suggested solutions tend to involve education, government legislation, and activism, but recently, more recent studies have been focused on technology as a solution with AI highlighted due to its power and popularity. AI is typically not used in isolation but in conjunction with other technologies. Although these societal issues impact many, if an individual is identified as being a member of a marginalized group, studies demonstrate that this individual may be impacted at a disproportionate rate. In this session, we’ll look at a case study highlighting how AI could be used to reduce Black maternal mortality.
During this 60-minute deep dive session with a combination of lectures and interactive activities, different perspectives on this topic will be identified. The interactivities during this session will be through guided conversations at our tables, dedicated reflection time, and the creation of action plans with the next steps. This session will provide an opportunity to explore what are ways that AI in conjunction with other resources could be used to address societal issues such as the increase in Black maternal mortality.
The Why: Specifically, by joining this session we can explore if AI and other technologies could be used to address one plus possibly other societal issues. The focus of the session case study is a health crisis that is occurring now and through this session, we can gain an understanding of where the technology may be able to assist to address the case study or other societal issues.
Key Takeaways:
This session is for… you if you want to learn how technology could be used to address a current societal issue which is an existing health crisis and how you can understand the usage of technology in this potential solution to this health crisis.
All too often we’re given signals to remain silent or to not show who we really are. Today, women of color are no longer willing to just take up space. We’re ready to show up in every room and own our seat at the table. For many of us, this is uncharted territory or a new frontier. Dictionary.com, defines frontier as uncharted territory, it may include a remote piece of land, a new or underdeveloped field of study. But if someone calls it a “frontier” then we are challenged to explore it and to conquer it.
Key Takeaways:
This session is for… you if you’ve found yourself not occupying space, not really showing up when you know you belong in the room and at the table.
How often in my career have I heard a female engineer referred to as “he” or “him” and had to raise my hand as the only woman in the room to say something? As a female Engineering Team Lead (TL), it has become increasingly common to be the odd (wo)man out in the room. While societal stereotypes have made it difficult for women to elevate and promote themselves, I have successfully carved a path for myself from individual contributor (IC) to TL in just five short years.
During this talk, I will share how I navigated my career and the lessons I learned from my experiences as a woman of color and a female team lead in a male-dominated industry. Being only a few years out of school and part of an underrepresented group in tech, I have learned to be my own best sponsor to get to an equitable place as it relates to career progression and success. While I proudly identify as a female leader in tech, I have worked hard to not let that define me, and I will share stories about how I have been able to build my personal and professional brands.
I will discuss some of the questions and conclusions I learned during my journey, including:
The Why: The tech industry has historically been a male-dominated space and we need more female representation in leadership. Women bring diverse perspectives and skill sets that can help drive innovation for technical and business solutions. It is our responsibility to lead by example to inspire young girls and women to pursue their dreams in the tech field.
Key Takeaways:
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