Exclusive Offer
AWS Startups Generative AI Resources
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Top Offers
Apply now for AWS Activate credits and receive up to $100k in AWS credits* and access exclusive offers from AWS partners worth up to $800,000!
Downloadable Resources
6 questions startup founders ask about generative AI infographic - Generative Al is changing daily, making it increasingly critical for every startup leader to learn what it can do and how it can transform their business. View the infographic “6 Questions Startup Founders Ask about Generative AI” to quickly build your understanding & accelerate adoption of this revolutionary technology.
Optimize the cost of generative AI for your startup infographic - When building with generative AI, the choices you make upfront will significantly impact the overall costs of your product or solution. Read on to discover which factors have the greatest influence—and how you can optimize them to control your generative AI costs.
Top 6 generative AI use cases for startup - 6 key use cases where generative AI can benefit startups, including ideating and developing new products, boosting team productivity and creativity, and accelerating marketing content creation. Additionally, find out how it plays a crucial role in generating powerful sales content, improving customer self-service experiences, and automating document data extraction and analysis.
Startup Resource hub for Generative AI - AWS is democratizing generative AI for startups of every size with cost-efficient & easy-to-deploy solutions. Explore tools, partner solutions & use cases designed to help you reinvent your applications, create entirely new customer experiences, drive unprecedented levels of productivity & transform your business.
AI Use Cases, Customer Success Stories, and implementation paths - Explore the art of the possible in AI. Our directory allows you to search by industry, business function, business outcomes, and technology.
Amazon Bedrock Getting Started - Amazon Bedrock is a fully managed service that offers leading foundation models (FMs) and a set of tools to quickly build and scale generative AI applications. The service also helps ensure privacy and security. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of Amazon Bedrock.
Amazon Bedrock Workshop - The goal of this workshop is to give you hands-on experience leveraging foundation models (FMs) through Amazon Bedrock. Amazon Bedrock is a fully managed service that provides access to FMs from third-party providers and Amazon; available via an API. With Bedrock, you can choose from a variety of models to find the one that’s best suited for your use case.
Accenture - Learn how How Accenture is using Amazon CodeWhisperer to improve developer productivity.
Q4 Inc. - Learn how Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot.
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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases
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Generative AI Training & Certification Courses and Offer
Unlock the power of generative AI! Get free access to AWS' comprehensive training kit designed to elevate your skills. With courses on Amazon CodeWhisperer, hands-on challenges, and more, you'll be equipped to harness the potential of AI innovation. Don't wait - download the kit today and transform your capabilities with generative AI. This is your chance to stay ahead in the world of AI!
Event Agenda
- Business track topics
- Technical track topics
- Track3 Session 1
- Track4 Session 1
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- 10 Session 1
Business track topics
Business track topics
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Raising money in Miami
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Scaling for your first 10 million users
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CXO Roundtable panel
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Talent recruitment: Hire like a unicorn
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Miami tech roadmap and startup opportunities
Technical track topics
Technical track topics
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Building Serverlesspresso: serverless ordering and fullfilment system (workshop)
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Creating event-driven architectures
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Evolving security capabilities
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Serverless containers
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AI & machine learning
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Choosing the right database
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Observability and system recovery
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Automating developer workflows
Track3 Session 1
Tab 3 content
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Track4 Session 1
Tab 4 content
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Track5 Session 1
Tab 5 content
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Track6 Session 1
Tab 6 content
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Track7 Session 1
Tab 7 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track8 Session 1
Tab 8 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track9 Session 1
Tab 9 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
10 Session 1
Tab 10 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Multiple City Registration
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Special Partner Offers
Caylent's data team combines expertise in AI and the emerging GenAI field with extensive experience in the supporting ecosystem for successful data science initiatives: creating machine learning models, operationalizing ML models through MLOps strategy and execution, enterprise data strategy, data governance & security, data engineering, and DataOps.
Provectus
TensorIoT stands out as an AWS Advanced Tier Services Partner with our exclusive focus on AWS technologies. With years of experience in AI/ML/Data solutions, our Generative AI team has developed a secure and efficient process for rapidly deploying Foundation Models from industry leaders like HuggingFace, AI21, Anthropic, and AWS. These models are directly integrated into the customer's own secure AWS account. Our data-centric approach allows us to build a comprehensive MLOps practice, encompassing continuous integration, testing, delivery, deployment, and real-time monitoring of Foundational Models.
- Assessment: Generative AI Assessment by TensorIoT - Datasheet
- POC/POV: Generative AI PoV by TensorIoT - Datasheet
- Deck: Generative AI Adoption on AWS by TensorIoT
- Sample SOW
New Math Data
Specialization in Data Engineering, AI/ML, DataOps, and MLOps. GenAI Assessment helps assess AI models customized for customer's business and compliance requirements.
- AWS Marketplace Offerings
- GenAI Assessment
- Case Studies: Inspire, Apogee
Slalom
GenAI Tiger team constituted 6 months back, working on OpenAI, Stability.ai and AWS GenAI offerings. Tiger team constitutes of leaders with experience working on machine learning, cloud, multivariate statistics, data visualization across multiple GenAI tools - Stable Diffusion, OpenAI, Sagemaker Jumpstart, Anthropic. Slalom is announced as a launch partner for AWS Bedrock.
- Slalom Gen AI Overview
- Collateral: Gen AI, An Exploration of the Future
- Collateral: Gen AI, What We Know and Where It Could Go
- Collateral: Where Should a CEO Be Focusing Now for Future Generative AI Success?
- Collateral: AI for All
SoftServe
Premier Partner with 9 competencies (including ML competency).
Premier Partner - AWS AI/ML Partner of the Year and Industries Partner of the Year. Dedicated COE for AI/ML Dedicated GenAI resources.
- https://quantiphi.com/applications/custom-ai/
- https://quantiphi.com/applications/custom-ai/#capabilities
- https://quantiphi.com/ai-applications/
- https://quantiphi.com/baioniq/
Mission Cloud
Mission Cloud has AI expertise to design custom algorithms for: Predictive Analytics, Natural Language Processing, Classification, Computer Vision, Recommendation Engines and Architecting solutions leveraging AWS AI Services (Textract, Translate, Lex, Rekognition, Forecast). Mission has their Data Analytics and Machine Learning practice group backed up by both the AWS D&A and the AWS Machine Learning Competencies. The team is led by Dr. Ryan Ries who has been an authority on Data, Analytics, and Machine Learning / AI for 20+ years, and has spent the last 5+ years helping customers build out their AWS data infrastructure.
- Getting Started with Generative AI: with our long-standing AI/ML expertise, we can help you define your goals, separate the hype from reality, and realize your business objectives with the models and infrastructure that fit your aims.
- Scaling Your Generative AISolution with AWS: Mission Cloud has worked with several leading companies who are creating their own generative models using text, audio, and images. With our deep AWS expertise, we’ve helped them to design the proper AWS infrastructure for their models and to handle training datasets in excess of 50 terabytes.
- Intelligent Document Processing with Generative AI: Are you processing large amounts of documents and need them quickly summarized for your staff while maintaining accuracy? Mission Cloud can help you build a generative AI solution and the underlying AWS infrastructure that aligns to best practices for working with your data while optimizing the output of your model. Harness the power of foundation models, OCR, and text extraction to take manual workflows and solve them with AI.
- Creating your Generative AI Solution with Cohere: Mission Cloud is here to help you build with Cohere’s foundation model and AWS SageMaker to generate, retrieve, and classify text for your initiatives. To support your use cases, we will also design the underlying infrastructure with AWS best practices and utilize common tooling like Amazon Lex, AWS Lambda Functions, and Amazon Kendra.
At Hugging Face our mission is to democratize good, state-of-the-art machine learning. We do this through our open source, our open science and our products and services. Currently we have over 20k state-of-the-art transformer models, and over 1600 free and available datasets on our open source and Machine Learning platform.
- AWS Marketplace: Hugging Face Expert Acceleration Program
- Other solutions are DeepLearning AMIs, ML Demo Hugging Face Spaces
AI21 Labs
AI21 Studio provides API access to Jurassic-2 and Task-Specific language models. AI21 models power text generation and comprehension features in thousands of live applications.
Unlocking the immense potential of generative AI and data is crucial, yet challenging for startup initiatives. That's why AWS and Loka have created the GenAI Workshop. The exclusive engagement offers founders and technical leaders expert guidance and direction on using Large Language Models (LLMs) on AWS. The workshop will address vital areas, such as model selection and tuning, decisions between training new or using pre-trained models and hosting options including Sagemaker, OpenAI and AWS Bedrock.
Tailwinds, connects business data with Generative AI (Anthropics Claude). Fusing state-of-the-art AI technology and innovative machine learning, Tailwinds transforms your data into actionable insights, accelerating your digital transformation journey.
Leveraging the Innovative Tailwinds GenAI accelerator, has resulted in dozens of case studies and production workloads on Amazon Bedrock. Innovative Solutions specializes in Healthcare, Financial Services, and Manufacturing Generative AI, data and analytics solutions for the SMB and Startup market.
Tailwinds Assessment (ROI identification) - PDF: Tailwinds Assessment - Innovative Solutions.pdf
Tailwinds OnRamp (Rapid POC) - PDF: Tailwinds OnRamp - Innovative Solutions.pdf
Gen AI Offerings Overview 1-Pager: 2024 Gen-AI Fast Start Program - Innovative Solutions (3).pdf
Dive deep into the world of Generative AI on AWS with PREDICTif’s exclusive offerings. From enhancing customer experiences with chatbots to streamlining operations with advanced detection tools, our use cases cater to diverse business needs. Begin with our immersive GenAI Workshop tailored to your business vision, then swiftly transition to actionable strategies with our Rapid GenAI Proof of Concept. Within mere weeks, harness the full potential of Amazon Bedrock and turn insights into impactful, scalable solutions that amplify your business growth.
PREDICTif Solutions GenAI POC.pdf
PREDICTif's GenAI Workshop 1 Pager.pdf
Tribe AI is your AI lab. Tribe AI provides access to 200+ AI and ML domain experts from companies like Tesla, OpenAI, and more. We work with elite startups and enterprises from ML and data strategy to implementation and validation of custom AI models. Our unique consulting model offers maximum flexibility and speed for domain-specific needs across research, engineering, and data science.
Tribe AI AWS Generative AI Blueprint
Case Study: How Nota Built a Roadmap for AI-enabled Journalism with Help from Tribe
Session Proficiency Levels Explained
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Level 100
Introductory
Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic
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Level 200
Intermediate
Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics
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Level 300
Advanced
Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution
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Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations
Who should attend?
There is no cost to attend this event, and attendance is open and welcoming to all, regardless of their familiarity or experience with generative AI technologies.
Why should I attend?
GenAI Day will cover impactful trends, best practices, and tools and services in the generative AI space, while showcasing the many AWS GenAI resources.
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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est. laborum.
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Featured Speakers
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Baratunde Thurston
Writer, TV host, Activist, Cassidy AI
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Justin Fineberg
CEO, Cassidy AI
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Su-In Lee
AIMS Lab Professor, University of Washington
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Cody Coleman
Co-Founder and CEO, Coactive AI
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Noelle Russell
Global AI Solutions Lead, Accenture
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Harrison Chase
Co-founder and CEO, LangChain
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Catalin Voss
Co-founder + CTO, Ello
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Paroma Varma
Co-Founder & Head of Applied ML, Snorkel AI
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Sarah Guo
Founder and Managing Partner, Conviction
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
Customer Highlights
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
FAQs
Where is the event?
This is a live, online event hosted by AWS.
When is the event?
Thursday, September 14, 2023
How much does it cost to attend this event?
There is no cost to attend this event.
What if I cannot attend this event?
You can still register to receive event videos after the event concludes.
Do I need preexisting knowledge of generative AI in order to attend the event?
Absolutely not. This event is designed to cater to individuals at all levels, whether you are an experienced professional or a beginner. It will provide insights into the latest trends, best practices, and tools and services in the field of Generative AI.
Who is the event agenda for?
The technical track content is designed for cloud developers, builders and architects. Business track content is designed for startup business leaders - at companies from early (post-MVP) through mid/growth stages.