Kotlin and the cloud are a perfect fit. Cloud providers such as Amazon have created clients that make use of Kotlin's coroutine and DSL features.Kotlin can be used for all sorts of cloud services, from Lambda (functions), containerized compute to large scale data processing applications. Amazon for example has also created a way for JVM language based lambda functions to start up faster without a large penalty.This session will include live coding demos of building cloud functions, containerized Kotlin services and using Kotlin along machine learning workloads. Attendees will learn how easy it to create and test cloud-native software using the Kotlin ecosystem.
Josh has been interested in computers since he was five years old. He has worked professionally as a developer, engineer, director, and architect for over 20 years. He considers himself a lifelong learner. He loves mentoring and working with others. His passion is seeing others... Read More →
Aaron Harrison, Gartner, Director Research & Advisory in Gartner's Software Engineering Leadership
Enable developer autonomy and self-service through platform teams. Learn how adidas' central platform engineering team at adidas offers standardization of common activities as an attractive, value-add service that enables product teams to create high-quality solutions faster, without reducing their autonomy in higher value activities.
Aaron Harrison is a Director of Advisory in Gartner's Information Technology Leaders practice. Mr. Harrison advises Application, Enterprise Architecture, and Software Engineering Leaders on subjects such as agile, modernization, API strategy, application rationalization, business... Read More →
In today's technological landscape, the synergy between Cloud Native technologies and Artificial Intelligence (AI) opens the stage to a myriad of unexplored challenges and opportunities. Dynamic, always-on and highly scalable infrastructures, typical of the Cloud Native paradigm, seamlessly integrate with AI's need to rapidly prototype solutions and access vast computational resources. The convergence of these two worlds has exposed some gaps in the Cloud Native ecosystem that need to be addressed. At the same time, AI opens numerous opportunities for innovation that are yet to be explored. This talk will delve into the Cloud Native Artificial Intelligence (CNAI) paradigm as a holistic approach to unlocking the full potential of the cloud in managing AI workloads and aim to anticipate the growth opportunities that lie ahead for the Cloud Native world.
Graziano is a software engineer and passionate about agile development and product management. Formerly a developer of distributed systems in enterprise environments and a product manager, he focuses on sharing the myriad beauties of the cloud-native world. Active in international... Read More →
Problem: The challenge at the heart of this presentation is the efficient training of AI models in scenarios where real-world data is limited, sensitive, or expensive to acquire. This issue is particularly pressing in fields such as autonomous vehicle development and medical research, where the quality and diversity of training data directly influence the performance and reliability of AI systems. Addressing this problem is crucial for advancing AI capabilities while ensuring ethical standards and privacy are upheld.
Methodology: To tackle this challenge, our approach involves the creation and use of synthetic data. The methodology encompasses techniques for generating high-fidelity, diverse synthetic datasets that mimic real-world complexities without compromising privacy or incurring high costs. Key techniques include Generative Adversarial Networks (GANs), simulation-based synthesis, and rule-based data generation. The presentation will detail these methods, along with strategies for validating the realism and utility of synthetic data in training robust AI models.
Conclusions: Preliminary results demonstrate that synthetic data can significantly enhance AI model training, especially in constrained environments. By leveraging synthetic datasets, we've observed improvements in model accuracy, robustness, and generalizability across several applications. The presentation will outline these findings, showcasing examples where synthetic data has successfully bridged the gap between the data needs of AI systems and the limitations of real-world datasets.
Customer Obsessed Product Leader with a proven track record at tech giants like Meta and Cisco Systems, where I've led the charge in product innovation and managed multi-billion dollar portfolios. My expertise lies in driving Machine Learning-focused product strategies and spearheading... Read More →
Have you encountered a scenario where, while working on a feature or resolving a bug, you discovered that duplicate records were being generated in a database, or duplicate charges or orders were being processed? Have you handled situations where services communicate asynchronously over the network, idempotency becomes essential to handle message retries, network failures, and eventual consistency among services. Ensuring idempotency is essential, particularly with the help of durable execution systems like Temporal. In this session, we'll delve into the concept of idempotency, elucidating its significance in simplifying the management of cloud based software systems. Through examples and exploration of intricate cases, we'll demonstrate how idempotency can be leveraged effectively with Temporal.
Geetha is a Solutions Architect in the big data management and durable execution space with experience in executing solutions for business problems on cloud and on-premises. She loved distributed computing during her undergrad days and has followed my interest ever since. She provides... Read More →
Sravan Yella, Hewlett Packard, Lead Solutions Engineer
The integration of Artificial Intelligence (AI) in marketing, particularly through social media, presents profound opportunities and ethical challenges that demand careful consideration. As AI technologies like Machine Learning (ML), Natural Language Processing (NLP), and predictive analytics become central to marketing strategies, they facilitate unparalleled personalization and efficiency in analyzing vast datasets and optimizing marketing efforts. Despite these advancements enhancing customer engagement by 40% and reducing operational costs by 30%, the rapid proliferation of AI tools in marketing raises significant ethical concerns. Key issues include the potential for data privacy breaches, the accuracy and bias in AI algorithms, and the lack of transparency in AI-driven decisions. These challenges not only affect consumer trust, which has seen a decline of 20% in brands using AI indiscriminately but also pose risks to brand integrity and compliance with evolving regulatory frameworks. To navigate this landscape responsibly, this presentation will explore best practices and frameworks for ethical AI usage in marketing. We will discuss the implementation of rigorous data governance protocols that ensure user data protection and privacy, techniques for auditing and mitigating biases in AI models to boost decision transparency, and strategies for maintaining compliance with international data use regulations. By fostering an ethical AI deployment approach, companies can enhance customer satisfaction by 25% and improve brand loyalty. This talk aims to equip professionals with actionable insights to leverage AI in marketing ethically and sustainably, ensuring long-term business success and consumer trust.
This abstract emphasizes the balance between leveraging AI's capabilities and addressing ethical considerations, backed by relevant data points to enhance its appeal to conference reviewers.
Sravan Yella is an expert CRM Engineering Leader with extensive experience in leveraging exponential backoff strategies to enhance the robustness and efficiency of distributed systems. His strategic implementations have significantly reduced downtime and improved system response in... Read More →
Clemens Vasters is Lead Architect in Microsoft’s Azure Messaging team that builds and operates a fleet of hyper-scale messaging services, including Event Grid, Service Bus, and Event Hubs. Clemens represents Microsoft in messaging standardisation in OASIS (AMQP) and CNCF (CloudEvents... Read More →
Bhupendrasinh Thakre, Walmart, Director, Data Science and Analytics
Providing best practices to perform anomaly detection at the cross section of various units of operations. I will explore the methods and methodology to run a smooth operation.
Bhupendrasinh Thakre is a distinguished Director of Advanced Analytics & Technology at Walmart, Bentonville, AR, recognized for driving innovation and excellence in data science and machine learning across global markets. With a profound educational background from Harvard Business... Read More →
Kotlin and the cloud are a perfect fit. Cloud providers such as Amazon have created clients that make use of Kotlin's coroutine and DSL features.Kotlin can be used for all sorts of cloud services, from Lambda (functions), containerized compute to large scale data processing applications. Amazon for example has also created a way for JVM language based lambda functions to start up faster without a large penalty.This session will include live coding demos of building cloud functions, containerized Kotlin services and using Kotlin along machine learning workloads. Attendees will learn how easy it to create and test cloud-native software using the Kotlin ecosystem.
Josh has been interested in computers since he was five years old. He has worked professionally as a developer, engineer, director, and architect for over 20 years. He considers himself a lifelong learner. He loves mentoring and working with others. His passion is seeing others... Read More →
Aaron Harrison, Gartner, Director Research & Advisory in Gartner's Software Engineering Leadership
Enable developer autonomy and self-service through platform teams. Learn how adidas' central platform engineering team at adidas offers standardization of common activities as an attractive, value-add service that enables product teams to create high-quality solutions faster, without reducing their autonomy in higher value activities.
Aaron Harrison is a Director of Advisory in Gartner's Information Technology Leaders practice. Mr. Harrison advises Application, Enterprise Architecture, and Software Engineering Leaders on subjects such as agile, modernization, API strategy, application rationalization, business... Read More →
In today's technological landscape, the synergy between Cloud Native technologies and Artificial Intelligence (AI) opens the stage to a myriad of unexplored challenges and opportunities. Dynamic, always-on and highly scalable infrastructures, typical of the Cloud Native paradigm, seamlessly integrate with AI's need to rapidly prototype solutions and access vast computational resources. The convergence of these two worlds has exposed some gaps in the Cloud Native ecosystem that need to be addressed. At the same time, AI opens numerous opportunities for innovation that are yet to be explored. This talk will delve into the Cloud Native Artificial Intelligence (CNAI) paradigm as a holistic approach to unlocking the full potential of the cloud in managing AI workloads and aim to anticipate the growth opportunities that lie ahead for the Cloud Native world.
Graziano is a software engineer and passionate about agile development and product management. Formerly a developer of distributed systems in enterprise environments and a product manager, he focuses on sharing the myriad beauties of the cloud-native world. Active in international... Read More →
Dileep Kumar Pandiya, ZoomInfo, Principal Engineer
Explore how AI is transforming development practices in cloud-native environments. Highlight innovative tools, frameworks, and methodologies that incorporate AI to enhance developer productivity and software quality.
Technology Leader with expertise in scaling digital businesses and navigating complex digital transformations has been pivotal in the success of numerous high-profile projects. Dileep dedicates himself to staying ahead of industry trends and utilizes his skills to create robust, scalable... Read More →
Problem: The challenge at the heart of this presentation is the efficient training of AI models in scenarios where real-world data is limited, sensitive, or expensive to acquire. This issue is particularly pressing in fields such as autonomous vehicle development and medical research, where the quality and diversity of training data directly influence the performance and reliability of AI systems. Addressing this problem is crucial for advancing AI capabilities while ensuring ethical standards and privacy are upheld.
Methodology: To tackle this challenge, our approach involves the creation and use of synthetic data. The methodology encompasses techniques for generating high-fidelity, diverse synthetic datasets that mimic real-world complexities without compromising privacy or incurring high costs. Key techniques include Generative Adversarial Networks (GANs), simulation-based synthesis, and rule-based data generation. The presentation will detail these methods, along with strategies for validating the realism and utility of synthetic data in training robust AI models.
Conclusions: Preliminary results demonstrate that synthetic data can significantly enhance AI model training, especially in constrained environments. By leveraging synthetic datasets, we've observed improvements in model accuracy, robustness, and generalizability across several applications. The presentation will outline these findings, showcasing examples where synthetic data has successfully bridged the gap between the data needs of AI systems and the limitations of real-world datasets.
Customer Obsessed Product Leader with a proven track record at tech giants like Meta and Cisco Systems, where I've led the charge in product innovation and managed multi-billion dollar portfolios. My expertise lies in driving Machine Learning-focused product strategies and spearheading... Read More →
Have you encountered a scenario where, while working on a feature or resolving a bug, you discovered that duplicate records were being generated in a database, or duplicate charges or orders were being processed? Have you handled situations where services communicate asynchronously over the network, idempotency becomes essential to handle message retries, network failures, and eventual consistency among services. Ensuring idempotency is essential, particularly with the help of durable execution systems like Temporal. In this session, we'll delve into the concept of idempotency, elucidating its significance in simplifying the management of cloud based software systems. Through examples and exploration of intricate cases, we'll demonstrate how idempotency can be leveraged effectively with Temporal.
Geetha is a Solutions Architect in the big data management and durable execution space with experience in executing solutions for business problems on cloud and on-premises. She loved distributed computing during her undergrad days and has followed my interest ever since. She provides... Read More →
Sravan Yella, Hewlett Packard, Lead Solutions Engineer
The integration of Artificial Intelligence (AI) in marketing, particularly through social media, presents profound opportunities and ethical challenges that demand careful consideration. As AI technologies like Machine Learning (ML), Natural Language Processing (NLP), and predictive analytics become central to marketing strategies, they facilitate unparalleled personalization and efficiency in analyzing vast datasets and optimizing marketing efforts. Despite these advancements enhancing customer engagement by 40% and reducing operational costs by 30%, the rapid proliferation of AI tools in marketing raises significant ethical concerns. Key issues include the potential for data privacy breaches, the accuracy and bias in AI algorithms, and the lack of transparency in AI-driven decisions. These challenges not only affect consumer trust, which has seen a decline of 20% in brands using AI indiscriminately but also pose risks to brand integrity and compliance with evolving regulatory frameworks. To navigate this landscape responsibly, this presentation will explore best practices and frameworks for ethical AI usage in marketing. We will discuss the implementation of rigorous data governance protocols that ensure user data protection and privacy, techniques for auditing and mitigating biases in AI models to boost decision transparency, and strategies for maintaining compliance with international data use regulations. By fostering an ethical AI deployment approach, companies can enhance customer satisfaction by 25% and improve brand loyalty. This talk aims to equip professionals with actionable insights to leverage AI in marketing ethically and sustainably, ensuring long-term business success and consumer trust.
This abstract emphasizes the balance between leveraging AI's capabilities and addressing ethical considerations, backed by relevant data points to enhance its appeal to conference reviewers.
Sravan Yella is an expert CRM Engineering Leader with extensive experience in leveraging exponential backoff strategies to enhance the robustness and efficiency of distributed systems. His strategic implementations have significantly reduced downtime and improved system response in... Read More →
Clemens Vasters is Lead Architect in Microsoft’s Azure Messaging team that builds and operates a fleet of hyper-scale messaging services, including Event Grid, Service Bus, and Event Hubs. Clemens represents Microsoft in messaging standardisation in OASIS (AMQP) and CNCF (CloudEvents... Read More →
Bhupendrasinh Thakre, Walmart, Director, Data Science and Analytics
Providing best practices to perform anomaly detection at the cross section of various units of operations. I will explore the methods and methodology to run a smooth operation.
Bhupendrasinh Thakre is a distinguished Director of Advanced Analytics & Technology at Walmart, Bentonville, AR, recognized for driving innovation and excellence in data science and machine learning across global markets. With a profound educational background from Harvard Business... Read More →
