STAREAST 2021 - Big Data, Analytics, AI/Machine Learning for Testing | TechWell

STAREAST Virtual 2021 - Big Data, Analytics, AI/Machine Learning for Testing

Monday, April 26

Tariq_King
test.ai
Jason_Arbon
test.ai
MI

Artificial Intelligence and Machine Learning Skills for the Testing World

Monday, April 26, 2021 - 2:00pm to 5:30pm

Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still...

Tuesday, April 27

Tariq_King
test.ai
TC

Testing Strategies for Microservices

Tuesday, April 27, 2021 - 10:00am to 5:30pm

Software development is trending toward building systems using small, autonomous, independently deployable services called microservices. Leveraging microservices makes it easier to add and modify system behavior with minimal or no service interruption. Because they facilitate releasing software early, frequently, and continuously, microservices are especially popular in DevOps. But how do microservices affect software testing and testability? Are there new testing challenges that arise from this paradigm? Or are these simply old challenges disguised as new ones? Join Tariq King as he...

Wednesday, April 28

Aprajita-Mathur
Guardant Health
W2

Don’t Be Scared of AI! It’s Here to Stay and So are You

Wednesday, April 28, 2021 - 1:00pm to 2:00pm

AI is here to stay and we know it’s going to change our world. There is so much information about AI that, it’s hard to know where to start, what to learn , what to ignore and what to believe. How do we tester’s cope up with this new technology and will this technology bring an end to our field of work? Join Aprajita Mathur as she shares basics of AI and where this technology stands today, what problems are being solved by it and why AI is not just about “ Test Bots” or “Robotics”. She will discuss how testers add/can add value in AI, what testing skills are transferable when working with...

Jeremie-Garnier
Cisco Systems
W10

From Hardware to Software: Cisco's DevOps Journey

Wednesday, April 28, 2021 - 2:15pm to 3:15pm

DevOps was born of a simple problem - a lack of culture / sharing in a company, especially between the world of developers and the operations teams. Now that everything is becoming programmable and the world of technology is moving very fast, this gap exists between all functions within a company. In this session, I will talk about the last 4 years at Cisco, where I started and ran a company initiative to move our DevOps culture forward through community management, organizing unconferences and sharing best practices. I will also provide an update about where we are in our DevOps journey...

Dionny Santiago
test.ai
W14

AI for Continuous Testing

Wednesday, April 28, 2021 - 3:45pm to 4:45pm

Software development teams are constantly challenged by increasing demands for new features, shorter times to market, and quicker turnarounds for testing fixes. To cope with these pressures, teams are leveraging methods for continuous deployment and shifting testing to the right -- towards production. Daily pushes are gated by pre-production unit and integration tests while the rest of the testing now happens in production. However, traditional test automation strategies do not effectively adapt to quickly evolving, highly dynamic systems and environments. Thankfully, AI-driven testing...

W15

Testing a Data Science Model

Wednesday, April 28, 2021 - 3:45pm to 4:45pm

Laveena has heard from other senior testers that they know of data science teams but no testers testing the models. How do we have enough confidence what is produced is good enough? A model is a statistical black box, how to test it so we understand its behaviors to test is properly. Main aim would be to help inspire testers to explore data science models. Laveena invites you to her talk where she will share her journey of discovering data science model testing and find the following takeaways useful not just for testing a data science model but day to day testing too. Key takeaways:

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Saurayan-Chaki
Deloitte Consulting LLP
Mythili Venkat
Deloitte Consulting LLP
W18

Moving Quality to the Cloud

Wednesday, April 28, 2021 - 3:45pm to 4:45pm

In today's world, organizations are either born in the cloud or moving to the cloud. How they succeed will depend on their strategy and approach to operating in the cloud. One of the key elements for the success of such organizations, is testing and more so, Quality Engineering. We will discuss different Quality Engineering approaches or methodologies required by organizations that are adopting the cloud, whether migrating applications from on-premise to the cloud or maintaining a hybrid model or building it all in the cloud. This will cover various cloud deployment models, with inherent...

Thursday, April 29

Nandan Chhabra
Nagarro
T21

Accessibility and Mixed Reality

Thursday, April 29, 2021 - 3:45pm to 4:45pm

As per Gartner, by 2023, the number of differently abled people employed will triple due to AI and emerging technologies, reducing barriers to access. Artificial intelligence (AI),Augmented Reality(AR),Virtual Reality(VR) and other emerging technologies have made work more accessible for differently-abled people. Many of us are quite aware of such immersive technologies and how these technologies are changing businesses and human lives. In addition to this, there is one special area where AR/VR could be quite useful, and this area is Accessibility. We will discuss few use cases on how this...