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strong>CloudX: Cloud-Native Development [clear filter]
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Thursday, November 7
 

9:30am PST

PRO SESSION (CloudX): Navigating the Ethical Terrain of AI-Enhanced Marketing Automation: Strategies for Responsible Innov
Thursday November 7, 2024 9:30am - 9:55am PST
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.
 
Speakers
avatar for Sravan Yella

Sravan Yella

Lead Solutions Engineer, Hewlett Packard
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 →
Thursday November 7, 2024 9:30am - 9:55am PST
CloudX -- Stage 1

10:00am PST

OPEN SESSION (API): Unlocking Live Data Access for AI
Thursday November 7, 2024 10:00am - 10:25am PST
Anushrut Gupta, Hasura, Senior Product Manager, Generative AI

“Over the last 3 months, summarize the top billing issues faced by my enterprise customers within the first 30 days of their onboarding.”

On the surface, building an internal AI customer intelligence application that can answer questions like this is a perfect use-case for Gen AI.
However, building a production ready app that retrieves the data (RAG) before hauling it off to your favorite LLM for summarization soon becomes a terrible engineering experience.

The data is spread across 3 places: a tickets database (eg: elastic), a CRM (eg: salesforce) and your user-accounts transactional database (eg: postgres).
In production, your app can’t access the data from these databases directly. Given security & privacy concerns, your app won’t have direct access to these databases.
Making independent retrieval requests to each of these sources and then joining them in memory might be prohibitively expensive and needs a level of query planning to do efficiently.
Moving all data into one location is expensive to build, maintain and govern
Predictable quality is further made hard because underlying data formats and storage interfaces are continuously changing.
Different types of user queries might require additional filtering and joining of data, which becomes hard to generalize.

APIs solve almost all of these very well known challenges. APIs offer standardization and security. APIs can provide a stable contract to interact with underlying data.

And in all likelihood, you already have APIs on these internal and external data sources.

Ironically, while APIs have become a necessity for other parts of the stack, they are clearly not the first thing that AI engineers building RAG reach for.

In this talk, we’ll discuss:
Why API based retrieval doesn’t work well for RAG
What we need from our existing internal and external APIs to make them RAG ready
How we can get existing APIs to become RAG ready without needing to rebuild the APIs

This talk will be technical, with code demos (possibly with some live coding!) and end with key resources (reference architectures, API best practices, tools/technologies) that attendees can take back to their work.
Speakers
avatar for Anushrut Gupta

Anushrut Gupta

Senior Product Manager, Generative AI, Hasura
Thursday November 7, 2024 10:00am - 10:25am PST
API World -- OPEN Workshop Stage

10:30am PST

PRO SESSION (CloudX): Type-Safe, Polyglot Messaging and Eventing: Stream/Queue/Topic “Of T”
Thursday November 7, 2024 10:30am - 10:55am PST
Clemens Vasters, Microsoft, Chief Messenger
Speakers
avatar for Clemens Vasters

Clemens Vasters

Chief Messenger, Microsoft
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 →
Thursday November 7, 2024 10:30am - 10:55am PST
CloudX -- Stage 1

11:00am PST

OPEN SESSION (CloudX): Responsible AI and Security in the Generative Era: Science and Practice
Thursday November 7, 2024 11:00am - 11:25am PST
Ishneet Dua, Amazon Web Services, Senior Generative AI Solutions Architect
Parth Girish Patel, Amazon Web Services, Sr AI/ML Architect


The rapid growth of generative AI brings promising innovation and, at the same time, raises new challenges around its security, safe, and responsible development and use. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to generative models, including hallucinations, toxicity, and intellectual property protection. During this session, participants will gain an overview of the challenges that generative AI presents, survey the emerging science surrounding these challenges, and engage in a discussion about the hands-on, security, and Responsible AI work currently being conducted on AWS.
Speakers
avatar for Ishneet Dua

Ishneet Dua

Senior Generative AI Solutions Architect, Amazon Web Services
Ishneet Dua (Isha) is a recognized expert in leveraging AI and machine learning for sustainability solutions. She has established herself as a go-to authority on combating climate change, pollution, and other environmental challenges through cutting-edge technologies.Dua has authored... Read More →
avatar for Parth Girish Patel

Parth Girish Patel

Sr AI/ML Architect, AWS
Parth Girish Patel is a seasoned architect with a wealth of experience spanning over 17 years, encompassing management consulting and cloud computing. Currently, at Amazon Web Services (AWS), he specializes in Artificial Intelligence/Machine Learning, generative AI, sustainability... Read More →
Thursday November 7, 2024 11:00am - 11:25am PST
CloudX -- Main Stage

1:30pm PST

OPEN SESSION (CloudX): Unlocking the Promise of AIOps: Leveraging AI to Realize Full-Context Operations
Thursday November 7, 2024 1:30pm - 1:55pm PST
Fred Koopmans, BigPanda, Chief Product Officer

Context is fundamental to well-run tech operations: With the right context, IT teams can better understand their systems, interpret real-time data quickly, and facilitate better incident management to achieve operational efficiency. But too often, gathering the necessary context is a lengthy, inconsistent, and elusive process. IT teams are forced to grapple with fragmented tools, siloed workflows, and inconsistent manual processes, which have turned context collection into a definitive pain point for the ITOps industry. Teams are losing out on precious time, money, and attention that should be directed towards digital transformation and innovation.

The tech industry has recently transformed thanks to the AI boom: ITOps is at a critical juncture where AI can enable faster, more efficient ITOps as well as deliver Full-Context Operations. Fred Koopmans, Chief Product Officer of AIOps platform BigPanda, will speak to the promise of Full-Context Operations – the process of unifying IT teams’ tools and processes with AI to provide the institutional knowledge needed to address every incident immediately. He’ll dive deep into the ways that teams can tangibly benefit from having the right context, outlining how the IT industry can leverage AI to collect comprehensive and contextual data to help operators achieve better incident resolution. Fred can share detailed proof points from developing BigPanda’s AI-powered assistant that was purpose-built for delivering full context in IT operations. With Full-Context Operations, the IT industry can finally fulfill the long-sought-after promise of AIOps, putting AI into practice to deliver unprecedented operational efficiency.
Speakers
avatar for Fred Koopmans

Fred Koopmans

Chief Product Officer, BigPanda
Fred Koopmans, BigPanda's Chief Product Officer, is dedicated to driving innovation and collaboration, building trusted partnerships with customers, creating product roadmaps, and empowering individuals to achieve the extraordinary. He leads product strategy, product management, product... Read More →
Thursday November 7, 2024 1:30pm - 1:55pm PST
CloudX -- Main Stage
 

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