April 22 AI, Security, Deepfakes, Data Analytics, Detroit
AWS, Google and other experts discuss Generative AI, Agentic AI, Deepfakes/Hallucinations, CyberSecurity and Data Analytics, with technical presentations relevant to all industries.
There are special presentations, deployment recommendations and case studies on Supply Chain, Manufacturing and IoT; learn how technology can help you respond to Tariffs.
Angelbeat provides a unique opportunity to directly interact with, ask questions to, plus learn from, the world’s two leading Cloud/AI firms, in one focused program.
Scroll down to see the detailed agenda and speakers. Click on the name to view their Linkedin profile, and session title for additional information. CPE credit hours are provided.
While the event is designed for on-site attendees in Greater Detroit and Ann Arbor, all presentations are Livestreamed via Zoom - like a regular webinar - so remote viewers won’t miss a thing.
Please use your Angelbeat account - created on the secure Memberspace platform - to signup by clicking the green REGISTRATION button. You are automatically registered for the Zoom LiveStream, and can then request to attend in person (limited to 25 individuals so act quickly). If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
TIME: 9 am ET until Noon
You are strongly encouraged to share any and all questions and ideas (before and after the webinar) on the Angelbeat On-Line Community Portal (https://community.angelbeat.com). This will be closely monitored by Angelbeat staff and speakers, who will get back to you right away.
Startups and SMB’s are encouraged to attend and learn from the expert speakers, interact with senior IT executives from leading Metro Detroit employers, plus gain insights from Angelbeat CEO Ron Gerber, who summarizes financial incentives and technical resources available from AWS, Google, Microsoft and Oracle.
Speakers, Topics, Agenda
8:45- 9:30 am ET Registration, Coffee, Networking with Peers and Speakers
9:30 am ET Event Overview, Introductory Comments, NIST AI Risk Management Framework (RMF)
Ron’s summarizes the day’s agenda, describes how Angelbeat can organize private/custom AI workshops for your organization, plus create an Artificial Intelligence Risk Management Framework based on NIST Standards.
9:40 Building on Bedrock: AI Security for the Future with Amazon Bedrock and Trellix Wise
Taylor Mullins, Senior Solutions Architect, Trellix
In this session we will explore how combining the robust infrastructure of Amazon Bedrock with the advanced security technology of Trellix Wise create a modern, scalable solution for protecting against evolving cyber threats. Learn how this powerful combination accelerates AI adoption, enhances real-time threat intelligence, and ensures proactive defense, all while offering flexibility, scalability, and protection of your sensitive data. Through real-world examples, we'll demonstrate how Trellix Wise on Amazon Bedrock builds a secure environment that’s as reliable as Bedrock, yet as innovative as the future envisioned by the Jetsons.
10:00 Deepfakes in Cybersecurity: Protecting Against AI-Powered Impersonation
Dwayne Natwick, CEO/Founder, Captain Hyperscaler
In today’s evolving cyber landscape, AI-driven threats like deepfakes are reshaping the risk landscape for businesses. These sophisticated impersonation tactics target financial systems, executive communications, and organizational trust. This presentation highlights strategies to identify, mitigate, and respond to deep-fake threats (plus hallucinations) for protecting your business and supply chain.
10:20 The Role of Generative AI in the Modern Enterprise
Naresh Jasotani, Principal Technology, GenAI Ambassador
Generative AI is transforming businesses by offering opportunities for innovation and efficiency. It has diverse use cases, including task automation, enhanced customer experiences, and accelerated research and development.
10:40 Google Cloud and AI for Supply Chain and Logistics Solutions
Naresh Jasotani, Principal Technology, GenAI Ambassador
Google aims to help organizations use data and AI to improve logistics operations and manufacturing processes. This involves partnering with leading manufacturing and logistics teams to enable sustainable, efficient, and resilient data-driven operations. The focus is on getting closer to the end consumer, optimizing manufacturing and logistics by building resilience, plus scaling automation and reducing carbon footprint across the entire value chain with industry-leading analytics and AI.
11:00 Responsible AI, From Theory to Practice, plus Amazon Bedrock, the Easiest Way to Build and Scale Generative AI Applications with Foundation Models
Lon Miller, Senior Solution Architect, AWS
The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. AWS is committed to developing AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers, to integrate responsible AI across the end-to-end AI lifecycle. This content will specifically address how AWS builds generative AI Services and provides solutions in a responsible way.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.
Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
11:20 AWS Supply Chain and IoT: Mitigate Risks & Lower Costs with ML-Powered Supply Chain Application plus Emerging Architecture Patterns for Integrating IoT and generative AI on AWS
Manny Sidhu, Cloud Strategy and Solution Architect Leader
AWS Supply Chain is a cloud-based supply chain management application that unifies data and provides ML-powered forecasting methods to improve demand forecasting and inventory visibility, actionable insights, built-in contextual collaboration, demand planning, supply planning, n-tier supplier visibility, and sustainability information management. AWS Supply Chain can connect to your existing enterprise resource planning (ERP) and supply chain management systems and uses ML and generative AI to transform and integrate disparate data into the supply chain data lake (SCDL). AWS Supply Chain can improve supply chain risk management without replatforming, upfront licensing fees, or long-term commitments.
Manny will also explore the recommended architecture patterns for integrating AWS IoT and Generative AI on AWS, looking at the importance of these integrations and the advantages they offer. By referencing these common architecture patterns, enterprises can advance innovation, improve operations, and create smart solutions that modernize various use cases across industries. He will also discuss AWS IoT services and generative AI services like Amazon Q and Amazon Bedrock, which provide enterprises a range of applications, including Interactive chatbots, IoT low code assistants, Automated IoT data analysis and reporting, IoT synthetic data generation for model trainings and Generative AI at the edge.
11:45 Angelbeat Closing Comments, Startup Resources/Funding from AWS, Google, Microsoft, Oracle
Ron’s summarizes the day’s agenda, plus compares resources, technical support and financial incentives/funding available from the major Hyperscale Cloud/AI providers: