With over 20 years of experience in the IT Industry, I am a Vice President of Engineering at Publicis Sapient, a global leader in digital business transformation. I am a Certified SAFe Agilist and an expert in automation, DevOps, and cloud platforms, with a strong track record of delivering high-quality solutions for various clients across industries. Working on some cool AI-related solutions for Enterprise Applications.

- Managing largescale projects comprising of 100+ team members
- Experienced in executing IoT projects implemented using Microsoft Azure IoT Hub integrating industrial devices for automatic device data handling, analytics, alerts and device controlling
- Experienced in program management and technical program management of cloud based solutions for large scale enterprise applications
- Proven acumen in Product Management including Research, Product Roadmap, Technology Assessment and Business Case Preparation
- High focus on delivery quality by technically guiding the teams and by applying industry specific best practices and processes

In recent years, Generative AI has emerged as an innovative force with the ability to revolutionize countless industries. Offering capabilities beyond the realms of traditional AI systems, Generative AI has the power to create novel outcomes by processing vast amounts of input data, leading to a plethora of potential organizational benefits. This presentation moves beyond the rudimentary functionalities of a basic chatbot and elaborates on how Generative AI can foster innovation, redefine established working practices, augment existing AI systems, and ultimately transform enterprises spanning various sectors. We delve into intriguing use cases spanning across major industries, including Consumer, Energy, Resources, Industrial, Financial Services, Life Sciences & Health Care, and Technology. This comprehensive exploration seeks to provide valuable insights into harnessing the full potential of Generative AI and powering the world of tomorrow.

Abhi is a Digital Transformation Leader with 18+ years of experience in managing large portfolios, key Customers across US, EUR, APAC, risk management and technical implementations including Selenium, Opkey, AI/ML, RPA, DevOps, Python, Cloud, API and Risk based Testing.

At KPMG, Abhi is leading AI/ML and no-code/low-code automation platforms and oversees the outcome across all stages of the Software Testing Lifecycle. Abhi is also responsible for partnering with the various member firms across the globe and establishing relationships for impactful deliveries..

The challenges in agile for test engineers are many. Each sprint length remaining same the test execution scope expands exponentially as many new user stories developed, dependencies across user stories are discovered , user stories goes through minor changes which were completed etc. On top of it configurability in software solution throws another layer of challenge where some customers workflow is different from standard workflow. Let us discuss how they can be managed with the choice of right tool for automation

Araf Karsh has over 25+ years of experience leading the design and development of mission-critical, object-oriented, and web-based applications for premier organizations, including Bank of America, CIBC, Johnson & Johnson, Kaiser Permanente, the U.S. Department of State, and the U.S. Dept of Energy. Karsh has an established track record leading production software organizations and bringing new products to market using leading-edge technology.

Most web penetration tests are performed manually. Many teams outsource this kind of testing to third-party services. When done, it is usually not part of the cycle, and often, it is not executed as frequently as it should be. This leaves the risk of escaped defects. A security degradation or outage impacts user experiences and creates significant business issues. Shifting security testing to the left to perform it earlier in the DevOps cycle is therefore a best practice. This way, it is possible to collaborate on requirements, test for code vulnerabilities within existing CI/CD pipelines, and also implement other security practices in software development. In this session, Participants will:

· Live Demo
· Efficient ways to achieve shift left
· Execution Reports

Recently Industry tycoon Mr. Narayan Murthy made a statement about working for 70 hours a week. Post that multiple articles were written; comments were made on right or wrong part of it. If we look back, when Digital transformation came, It was a disruption and to cope up with it everyone had to burn the mid night oil. Pandemic was major disruption. For year 2024, Gen AI is the biggest disruption. This session is to depict a point of view on how to overcome fear of 70 and overcome all disruptions and deliver the optimal outcome in world of quality assurance.

Problem solver, positive thinker, honest and transparent working style are the major strengths of Yogita who manages delivery of End to end Testing for UK member firm at KPMG global services.

With Strategic focus, Yogita has been able to bring transformation in the portfolio with 3X growth, multiskilled well balanced diverse team, created benchmark for efficient delivery. With her excellent time management skills, Yogita also drives Women enablement program and program manages ID&E at KGS. With 22+ years of exp., Yogita firmly believes in working together in collaboration, doing work excellently that matters, Speaking up fearlessly.

Beyond work, Yogita is a Vivid reader, self-dietician Nutritionist , photographer and loves travelling.

Traditional testing methodologies often lead to repetitive and time-consuming tasks, creating an atmosphere where testing is perceived as monotonous. Throughout the testing process, from learning and reading to exploratory/manual testing, bug filing, bug reproduction, automation testing, code writing, data generation, and career growth, there are numerous opportunities for innovation. Join us in this talk as we address the common challenges faced by testers in their daily routines and present practical, innovative solutions. Discover how embracing creativity at every stage of testing can not only make the process more interesting but also significantly reduce the time spent on mundane tasks. Walk away with actionable insights that you can immediately apply to enhance your testing practices.

Key takeaways

a) Break Free from Monotony: Explore how traditional testing methods contribute to repetitive and time-consuming tasks, fostering a perception of monotony within the testing process.

b) Identify Opportunities for Innovation: Navigate through various testing stages, such as learning, manual testing, bug handling, automation, coding, data generation, and career development, to uncover opportunities for injecting innovation.

c) Common Challenges, Uncommon Solutions: Delve into the everyday challenges faced by testers and gain insights into practical and innovative solutions that can be readily applied to transform your testing approach.

d) Embrace Creativity: Learn the art of infusing creativity at each testing stage, turning mundane tasks into engaging activities. Understand how this shift in mindset not only makes testing more interesting but also significantly reduces time spent on routine activities.

e) Immediate Actionable Insights: Discover concrete, actionable insights that can be implemented right away to revitalize your testing practices. Walk away with practical tips and tricks that promise immediate positive impacts on your testing efficiency.

f) Enhance Testing Practices: Understand the broader implications of embracing innovation in testing. See how these changes can elevate the overall quality of your testing processes and contribute to career growth.

Sanjay Kumar | Founder and Creator of SelectorsHub, TestCase Studio, Testing Daily, AutoTestData, TestCaseHub

I'm an SAP ERP professional with an overall experience of over 17 years.

In my current role, I'm working on building enterprise business applications on the SAP cloud platform driving customers run their businesses with greater productivity and flexibility with S/4 cloud applications

No Code / Low code platforms are rapidly becoming popular for the application development. It helps reduce 30-40% “Time to Market” for the application. How should QA strategies look like for the applications built on these platforms? 30-40% reduced effort also translates in the reduced effort for testing cycle. Is there any difference for the testing team, if they test a conventional application or the one built on No code platform? Let’s review eventually how Automation can be best

With over 20 years of experience, Naisargee is a leader in Technology Consulting Quality Engineering with demonstrated success in leading large scale QE transformation engagements across diversified industry, platform, tools & technologies

At KPMG, Naisargee leads the No code – Low code platform engagement delivery & entire KDN QE. Her areas of expertise includes Automation testing, Performance testing, Accessibility testing, End to End test planning, strategizing & execution to achieve Quality goals for the end customers.

Dr. Vamsi Mohan, an accomplished Engineering Leader and Distinguished Architect, drives innovation, business transformation, and outstanding results. With a proven track record of leveraging technology for strategic advantages, he combines technical expertise, business acumen, and leadership skills to propel organizations to new heights.

As a forward-thinking Engineering Leader, Vamsi aligns technology strategies with organizational objectives, delivering innovative solutions and operational efficiencies. With a deep understanding of market trends and emerging opportunities, he fosters sustainable growth and success.

Software testing is an essential phase in the software development lifecycle, ensuring the quality and reliability of software applications. The increasing complexity of software systems and the demand for faster release cycles have necessitated innovative approaches to optimize the testing process. This abstract introduces an AI-infused test Case Recommendation System, a cutting-edge solution that leverages artificial intelligence (AI) to enhance test case selection and coverage. The system is designed to intelligently analyze historical test data, including test case descriptions, test results, and associated metrics, using machine learning algorithms and natural language processing techniques. By learning from past testing experiences, it recommends relevant test cases based on the current testing context, improving the overall testing efficiency. The primary objective of this research is to design, implement, and evaluate the AI-powered system's effectiveness in terms of test case selection, coverage, and resource utilization. Through empirical experiments and user feedback, the research aims to demonstrate the system's potential to significantly reduce testing time and enhance code coverage, ultimately leading to faster and more reliable software releases. Furthermore, this research explores the adaptability of the AI-Infused Test Case Recommendation System (AI-TCRS) across diverse software domains and applications, shedding light on its generalizability and potential impact on the software testing landscape. In summary, the AI-Infused Test Case Recommendation System presents a promising avenue for improving software testing practices. Its integration of AI technologies holds the potential to streamline testing processes, optimize resource utilization, and ultimately contribute to the delivery of high-quality software products.

Anup Sahoo, an ISTQB-certified Advanced Level Test Manager, and a seasoned veteran in the software industry. With over 14+ years of experience and a proven track record, Anup has worked with prestigious clients such as the Government of Odisha, Proctor and Gamble, Sony, and Barry Wilmer.

Software Testing marketplace has evolved from with growth of IT industry. V-Model and ensuring adequate testing has helped deliver quality products and applications and has also helped industry ride on the wave to deliver as well as grow multi-fold capability.

The evolution has seen centralized/shared testing capability, test automation, focused testers. The industry has also survived with the confusion of Agile/DevOps and testing as part of it. Many proponents of Agile/DevOps shunned independent testing and many companies disbanded centralized test COEs to create decentralized/distributed capability. This further gave birth to Hybrid model. Test practitioner moved on from manual/process/domain skills to Automation and Agile process skills.

Test Automation matured from record and play to scripts to scriptless lowcode nocode. Devops has required Continuous Integration/Continuous Testing (CI/CD).

This talk is about what has worked well and what has not and what is in store for future.

Dr Renu Rajani is one of the early entrant in Software Testing industry and has led large testing practice at IBM and Capgemini. She is author of 2 book on software testing published with Mcgrawhill and Packt publishers. Her book with Mcgrawhill in 2004 was the first book authored in India on Software Testing; and she was conferred Testing Thought leader award in 2008 for the same. While at Capgemini, Renu has been global influencer/thought leader on social media on the topics of Managed Services and Digital Transformation.

In her career spanning three decades, she has served in leadership roles with P&L responsibilities at IBM, Capgemini, Infosys and has held portfolios in ADM, QA, Core Technology Infrastructure, Technology & Operations, and Delivery as well as Sales/Solutions.

Dr Renu holds PhD in Management and MS from Purdue University USA. In addition to her roles, she is passionate about women leadership, Diversity and ESG and Climate Risk. She has been instrumental in setting up and leading Women Who Code Network in Hyderabad.