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Can Generative AI Be Secured? Amazon's Chief Security Officer Weighs In In this episode of Eye on AI, Amazon's Chief Security Officer Stephen Schmidt pulls back the curtain on how Amazon is using AI-powered cybersecurity to defend against real-world threats. From global honeypots to intelligent alarm systems and secure AI agent networks, Steve shares never-before-heard details on how Amazon is protecting both its infrastructure and your data in the age of generative AI. We dive deep into: Amazon's MadPot honeypot network and how it tracks adversaries in 90 seconds The role of AI in threat detection, alarm triage, and code validation Why open-source vs. closed-source models are a real security debate The critical need for data privacy, secure LLM usage, and agent oversight Amazon's $5M+ Nova Trusted AI Challenge to battle adversarial code generation Whether you're building AI tools, deploying models at scale, or just want to understand how the future of cybersecurity is evolving—this episode is a must-listen. Don't forget to like, subscribe, and turn on notifications to stay updated on the latest in AI, security, and innovation. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (00:52) Stephen Schmidt's Role and Background at Amazon (02:11) Inside Amazon's Global Honeypot Network (MadPot) (05:26) How Amazon Shares Threat Intel Through GuardDuty (08:06) Are Cybercriminals Using AI? (10:28) Open Source vs Closed Source AI Security Debate (13:09) What Is Amazon GuardDuty (17:44) How Amazon Protects Customer Data at Scale (20:18) Can Autonomous AI Agents Handle Security? (25:14) How Amazon Empowers SMBs with Agent-Driven Security (26:18) What Tools Power Amazon's Security Agents? (29:25) AI Security Basics (35:34) Securing AI-Generated Code (37:26) Are Models Learning from Our Queries? (39:44) Risks of Agent-to-Agent Data Sharing (42:08) Inside the $5M Nova Trusted AI Security Challenge (47:01) Supply Chain Attacks and State Actor Tactics (51:32) How Many True Adversaries Are Out There? (53:04) What Everyone Needs to Know About AI Security
Web and Mobile App Development (Language Agnostic, and Based on Real-life experience!)
In this episode, host Krish Palaniappan welcomes back Ramya Ganesh to discuss Amazon Bedrock and its applications in AI and cloud computing. Ramya shares her extensive experience with AWS, particularly in cybersecurity and AI, and explains the differences between Bedrock and SageMaker. The conversation delves into practical use cases, such as code generation and architectural diagrams, while also addressing the challenges and considerations when integrating Bedrock into existing applications. The episode concludes with insights on prototyping with AWS AI tools and the future of AI development. In this conversation, Krish Palaniappan and Ramya Ganesh delve into the intricacies of using AWS Bedrock for model selection and application development. They explore the open-source nature of certain applications, the importance of selecting the right model for specific problems, and the nuances of model configurations. The discussion also covers how to compare different models and the next steps for integrating these models into applications.
Amazon on Thursday released what it claims is the largest, most capable AI model in its Nova family, Nova Premier. Nova Premier, which can process text, images, and videos (but not audio), is available in Amazon Bedrock, the company's AI model development platform. Learn more about your ad choices. Visit podcastchoices.com/adchoices
We're excited to welcome Faye Ellis — Pluralsight instructor, AWS Hero, and one of my favorite people to learn from! In this session, Faye shares inexpensive and accessible ways you can start learning about Foundation Models (FMs), Large Language Models (LLMs), and AI. Whether you're just starting your AI journey or looking for practical experiments without a huge investment, this episode is packed with actionable insights. Faye also shares the top AI skills needed in 2025!
Send us a textIn this episode of What's New in Cloud Phenops, Stephen Old and Frank discuss the latest updates in cloud computing, focusing on Azure, Google Cloud, and AWS. They cover the retirement of certain Azure virtual machines, the introduction of serverless GPUs, and the benefits of Amazon Bedrock for cost transparency. The conversation also touches on new features for Azure databases, insights from a Forrester study on Spanner, and the importance of calculating AI costs. Additionally, they discuss licensing changes for Amazon FSX, tiered storage for Spanner, and the deprecation of the AWS connector to Azure. The episode concludes with a look at sustainability efforts and upcoming events in the cloud computing space.takeawaysServerless GPUs enable on-demand AI workloads with automatic scaling.Amazon Bedrock introduces real-time cost transparency for custom models.Physical snapshots for Azure databases enhance backup flexibility.Forrester study shows significant ROI with Spanner.Understanding AI costs on Google Cloud is crucial for budgeting.Amazon FSX for NetApp removes SnapLock licensing fees.Tiered storage for Spanner optimizes cost and performance.AWS connector to Azure is deprecated, focusing on native solutions.Azure OpenAI service offers discounts for provisioned reservations.
Learn about the latest new FM in the Nova family that simplifies conversational AI with low latency, and build safely with new capabilities for Amazon Bedrock Guardrails. 00:00 - Intro, 00:27 - Amazon Nova Sonic, 03:13 - Amazon Bedrock Guardrails, 05:23 - Analytics, 08:18 - Application Integration, 08:37 - Artificial Intelligence, 12:06 - Business Applications, 13:01 - Cloud Financial Management, 13:44 - Compute, 15:04 - Contact Center, 16:29 - Containers, 16:49 - Databases, 19:57 - Developer Tools, 20:59 - Frontend Web and Mobile, 21:20 - Management and Governance, 23:39 - Media Services, 25:37 - Migration and Transfer, 26:46 - Networking and Content Delivery, 28:45 - Artificial Intelligence, 29:58 - Security, Identity, and Compliance, 32:51 - Serverless, 33:57 - Storage, 37:29 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/run-sheet-20250418-173723.html
SentinelOne's Ric Smith shares how Purple AI, built on Amazon Bedrock, helps security teams handle increasing threat volumes while facing budget constraints and talent shortages.Topics Include:Introduction of Ric Smith, President of Product Technology and OperationsSentinelOne overview: cybersecurity company focused on endpoint and data securityCustomer range: small businesses to Fortune 10 companiesProducts protect endpoints, cloud environments, and provide enterprise observabilityRic oversees 65% of company operationsPurple AI launched on AWS BedrockPurple AI helps security teams become more efficient and productiveSecurity teams face budget constraints and talent shortagesPurple AI helps teams manage increasing alert volumesTop security challenge: increased malware variants through AIAI enables more convincing spear-phishing attemptsIdentity breaches through social engineering are increasingVoice deepfakes used to bypass security protocolsFuture threats: autonomous AI agents conducting orchestrated attacksSentinelOne helps with productivity and advanced detection capabilitiesSentinelOne primarily deployed on AWS infrastructureUsing SageMaker and Bedrock for AI capabilitiesBest practice: find partners for AI training and deploymentCustomer insight: Purple AI made teams more confident and creativeAI frees security teams from constant anxietySentinelOne's hyper-automation handles cascading remediation tasksMultiple operational modes: fully automated or human-in-the-loopAgent-to-agent interactions expected within 24 monthsCommon misconception: generative AI is infallibleAI helps with "blank slate problem" providing starting frameworksAI content still requires human personalization and reviewAWS partnership provides cost efficiency and governance benefitsParticipants:· Ric Smith – President – Product, Technology and Operations, SentinelOneSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
Join Dan Vega and DaShaun Carter as they welcome James Ward, Principal Developer Advocate at AWS. This episode explores James' career journey, his podcast work, and his expertise in Java development. The conversation dives into Amazon's Nova model and James' recent article on Model Context Protocol (MCP). Learn about building AI agents with Spring AI and discover how Spring developers can implement MCP clients and servers on AWS for powerful, integrated AI applications.The hosts get James' unique perspective on the evolving intersection of Spring, Java, and cloud AI services, with practical insights for developers looking to enhance their applications with AI capabilities. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show NotesRunning MCP Agents (Clients & Servers) on AWSAWS NovaModel Context Protocol
Hosts Simon and Jillian discuss how you can uncover hidden trends and make data-driven decisions - all through natural conversation, with Amazon Q in Quicksight, plus, more of the latest updates from AWS. 00:00 - Intro, 00:22 - Top Stories, 02:50 - Analytics, 03:35 - Application Integrations, 04:48 - Amazon Sagemaker, 05:29 - Amazon Bedrock Knowledge Bases, 05:48- Amazon Polly, 06:46 - Amazon Bedrock, 07:31 - Amazon Bedrock Model Evolution LLM, 08:29 - Business Application, 08:58 - Compute, 09:51 - Contact Centers, 10:54 - Containers, 11:12 - Database, 14:21 - Developer Tools, 15:20 - Front End Web and Mobile, 15:45 - Games, 16:04 - Management and Governance, 16:35 - Media Services, 16:47 - Network and Content Delivery, 19:39 - Security Identity and Compliance, 20:24 - Serverless, 21:48 - Storage, 22:43 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250404-184823.html
PDI Technologies' Steve Antonakakis shares how his company is implementing generative AI across their fuel and retail technology ecosystem through a practical, customer-focused approach using Amazon Bedrock.Topics Include:PDI's COO/CTO discussing generative AI implementationPractical step-by-step approach to AI integrationTesting in real-world settings with customer feedbackAWS Bedrock and Nova models exceeded expectationsEarly adoption phase with huge potentialFuel/retail industry processes many in-person transactionsPDI began in 1983 as ERP providerGrew through 33+ acquisitionsProvides end-to-end fuel industry solutionsOwns GasBuddy and Shell Fuel RewardsProcesses millions of transactions dailyGenerative AI fits into their intelligence plane architectureAWS Bedrock integrates well with existing infrastructureFocus on trusted, controlled, accountable AIProductizing AI features harder than traditional featuresCreated entrepreneurial structure alongside regular product teamsTeam designed to fail fast but stay customer-focusedAI features can access databases without disrupting applicationsCustomers want summarization across different business areasAI provides insights and actionable recommendationsConversational AI replaces traditional reporting limitationsWorking closely with customers to solve problems togetherBeyond prototyping phase, now in implementationAWS Nova provides excellent cost-to-value ratioFocus on measuring customer value over immediate profitabilityRFP use case saved half a million dollarsEarly prompts were massive, now more structuredSetting realistic customer expectations is importantData security approach same as other applicationsTreating AI outputs with same data classification standardsParticipants:Steve Antonakakis – COO & CTO, Retail & Energy, PDI TechnologiesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
New game-changing AI developments are here, from SageMaker Unified Studio to Bedrock's new multi-agent capabilities. Join your hosts Simon and Jillian for the latest updates from AWS. 00:00:00 - Intro 00:00:49 - Top Stories 00:02:31 - Amazon Bedrock 00:05:35 - Analytics 00:06:08 - Application Integration 00:06:41 - AWS Step Function Workflow Studio 00:06:59 - Amazon Bedrock 00:07:26 - GraphRAG 00:09:08 - Amazon Nova Pro Foundation Model 00:09:32 - Amazon S3 Table and Sagemaker Lakehouse 00:12:00 - Compute 00:13:30 - Customer Engagement 00:14:39 - Data Bases 00:15:09 - Developer Tools 00:17:09 - End User Computing 00:17:25 - Front end Web and Mobile 00:18:08 - Games Internet of things 00:20:12 - Management and Governance 00:20:31 - Networking and Content Delivery 00:20:41 - AWS Application Load Balancer 00:21:06 - Security Identity End Compliance 00:22:32 - Storage 00:23:47 - Wrap up
Web and Mobile App Development (Language Agnostic, and Based on Real-life experience!)
In this conversation, Krish Palaniappan delves into the AWS AI series, focusing on Amazon Bedrock and its foundational models. He discusses the differences between serverless models and the Bedrock marketplace, the importance of selecting the right model for specific use cases, and the training and inference processes in AI. The conversation also compares AWS Bedrock with Azure's offerings and emphasizes the complexities of AI architecture in modern development. In this conversation, Krish Palaniappan delves into the complexities of selecting AI models and platforms, particularly focusing on Bedrock and Hugging Face. He discusses the challenges startups face in asset comparisons, the importance of initial architecture in software development, and the evolving landscape of AI tools. The conversation emphasizes the need for a strategic approach to model selection, deployment, and understanding pricing structures, while also highlighting the significance of community engagement in the AI space. Snowpal Products Backends as Services on AWS Marketplace Mobile Apps on App Store and Play Store Web App Education Platform for Learners and Course Creators
Richard Sonnenblick and Lee Rehwinkel of Planview discuss their transition to Amazon Bedrock for a multi-agent AI system while sharing valuable implementation and user experience lessons.Topics Include:Introduction to Planview's 18-month journey creating an AI co-pilot.Planview builds solutions for strategic portfolio and agile planning.5,000+ companies with millions of users leverage Planview solutions.Co-pilot vision: AI assistant sidebar across multiple applications.RAG used to ingest customer success center documents.Tracking product data, screens, charts, and tables.Incorporating industry best practices and methodologies.Can ingest customer-specific documents to understand company terminology.Key benefit: Making every user a power user.Key benefit: Saving time on tedious and redundant tasks.Key benefit: De-risking initiatives through early risk identification.Cost challenges: GPT-4 initially cost $60 per million tokens.Cost now only $1.20 per million tokens.Market evolution: AI features becoming table stakes.Performance rubrics created for different personas and applications.Multi-agent architecture provides technical and organizational scalability.Initial implementation used Azure and GPT-4 models.Migration to AWS Bedrock brought model choice benefits.Bedrock allowed optimization across cost, benchmarking, and speed dimensions.Added AWS guardrails and knowledge base capabilities.Lesson #1: Users hate typing; provide clickable options.Lesson #2: Users don't like waiting; optimize for speed.Lesson #3: Users take time to trust AI; provide auditable answers.Question about role-based access control and permissions.Co-pilot uses user authentication to access application data.Question about subscription pricing for AI features.Need to educate customers about AI's value proposition.Question about reasoning modes and timing expectations.Showing users the work process makes waiting more tolerable.Participants:Richard Sonnenblick - Chief Data Scientist, PlanviewLee Rehwinkel – Principal Data Scientist, PlanviewSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
Anthropic's most advanced AI model yet is now on Amazon Bedrock, plus, multimodal content analysis with Bedrock Data Automation. Keep up with these updates and more on this week's AWS News. Chapters: 00:00:00 - Intro 00:01:02 - Anthropic Claude 3.7 00:03:14 - Amazon Bedrock Data Automation 00:05:54 - Analytics 00:06:50 - Artificial Intelligence 00:09:23 - Compute 00:12:37 - Customer Engagement 00:13:50 - Databases 00:16:11 - Developer Tools 00:17:05 - End User Computing 00:17:23 - Front End Web and Mobile 00:18:31 - Management End Governance 00:19:34 - Migration and Modernization 00:20:43 - Security Identity End Compliance 00:21:56 - Storage 00:22:12 - Outro
Milyen újdonságot hoz az adattárolásba a data mesh, és milyen eszközöket kínál az Amazon Web Services (AWS) ennek megvalósításához? Milyen skálázhatósági problémákkal küzdenek a vállalatok? Milyen újdonságokat mutat be az AWS 2025-ben?Ezekre a kérdésekre is választ kaphatnak, ha meghallgatják a beszélgetést, amelyet a TC2 szakértőivel – Czirok Lászlóval, a TC2 Principal Cloud Architectjével és Stadler Gellérttel, a vállalat Data&AI Team Leaderével – folytatott a házigazda, Gróf József, az ITBUSINESS online szerkesztője. Ígérjük, hogy a mesterséges intelligenciát kedvelő hallgatóink sem fognak unatkozni: az Amazon Nova modelljei, a DeepSeek-R1 és Amazon Bedrock megoldásai is helyet kaptak.Ha érdekel a Data Mesh koncepciója, az AWS legfrissebb fejlesztései, ne hagyd ki ezt az adást!
Managing security for a device that can autonomously interact with third-party services presents unique orchestration challenges that go beyond traditional IoT security models. In this episode of Detection at Scale, Matthew Domko, Head of Security at Rabbit, gives Jack an in-depth look at building security programs for AI-powered hardware at scale. He details how his team achieved 100% infrastructure-as-code coverage while maintaining the agility needed for rapid product iteration. Matt also challenges conventional approaches to scaling security operations, advocating for a serverless-first architecture that has fundamentally changed how they handle detection engineering. His insights on using private LLMs via Amazon Bedrock to analyze security events showcase a pragmatic approach to AI adoption, focusing on augmentation of existing workflows rather than wholesale replacement of human analysis. Topics discussed: How transitioning from reactive SIEM operations to a data-first security approach using AWS Lambda and SQS enabled Rabbit's team to handle complex orchestration monitoring without maintaining persistent infrastructure. The practical implementation of LLM-assisted detection engineering, using Amazon Bedrock to analyze 15-minute blocks of security telemetry across their stack. A deep dive into security data lake architecture decisions, including how their team addressed the challenge of cost attribution when security telemetry becomes valuable to other engineering teams. The evolution from traditional detection engineering to a "detection-as-code" pipeline that leverages infrastructure-as-code for security rules, enabling version control, peer review, and automated testing of detection logic while maintaining rapid deployment capabilities. Concrete examples of integrating security into the engineering workflow, including how they use LLMs to transform security tickets to match engineering team nomenclature and communication patterns. Technical details of their data ingestion architecture using AWS SQS and Lambda, showing how two well-documented core patterns enabled the team to rapidly onboard new data sources and detection capabilities without direct security team involvement. A pragmatic framework for evaluating where generative AI adds value in security operations, focusing on specific use cases like log analysis and detection engineering where the technology demonstrably improves existing workflows rather than attempting wholesale process automation. Listen to more episodes: Apple Spotify YouTube Website
In this episode of Flying High with Flutter, we're joined by Renaldi Gondosubroto, the author of Amazon Bedrock in Action. Renaldi shares his expertise on Amazon Bedrock, AI/GenAI, and how these tools integrate seamlessly with Flutter. Whether you're curious about implementing AI in your app or want to understand Bedrock's place within the AWS ecosystem, this episode is packed with insights for developers of all levels.
Send Everyday AI and Jordan a text messageWondering if Claude's latest agentic AI is worth it? Computer Use is an agentic AI system that allows you to operate a virtual computer simply by speaking with Claude. We dive in and explain how it works. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Claude AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Overview of Anthropic Claude2. How to Use Claude Computer Use3. Critiques of Anthropic's Tools4. Future of AI AgentsTimestamps:00:00 AI agents essential in businesses by 2025.04:48 Google developing AI agent 'Jarvis'; competition intensifies.10:01 Using an API key; GitHub shares code.11:22 Docker is a versatile containerization tool for developers.15:36 Claude Sonnet 3.5 limits commands despite plans.17:08 Replace placeholder with copied API key.23:17 Demonstrating computer vision on a virtual desktop.25:33 Claude retained information without website visit.29:31 Experiencing repeated errors toggling between applications.30:49 Visit everydayai.com, list latest 3 episodes.35:10 Word document created with AI episode summaries.37:12 Direct AI with simple code; needs improvement.Keywords:Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces. Ready for ROI on GenAI? Go to youreverydayai.com/partner
The annual AWS re:Invent conference in Las Vegas has long been a marquee event for technologists and business leaders. But in 2024, it served as a rallying cry for a new technological epoch - one where generative AI (GenAI) is no longer a nascent tool but a transformative force shaping industries, economies, and creativity. At the heart of this year's address was Dr. Swami Sivasubramanian, AWS's Vice President of AI and Data, who positioned Amazon's cloud division not just as a vendor but as an architect of this revolution. Dr. Sivasubramanian began with a historical overture, likening the current moment to the Wright Brothers' first flight in 1903. That 12-second triumph, he noted, was not an isolated miracle but the result of centuries of cumulative innovation - from Leonardo da Vinci's aeronautical sketches to steam-powered gliders. In the same vein, GenAI represents the culmination of decades of research in neural networks, backpropagation algorithms, and the transformative power of Transformer architectures. However, technological breakthroughs alone were not enough. What set the stage for GenAI's explosive growth, Dr. Sivasubramanian argued, was the convergence of cloud computing, vast data lakes, and affordable machine-learning infrastructure - elements AWS has spent the better part of two decades perfecting. AWS SageMaker: The Vanguard of AI Democratization Central to AWS's GenAI arsenal is Amazon SageMaker, a comprehensive platform designed to simplify machine learning workflows. Over the past year, AWS has added more than 140 features to SageMaker, underscoring its ambition to stay ahead in the arms race of AI development. Among these innovations is SageMaker HyperPod, which provides robust tools for training the mammoth foundational models that underpin GenAI. HyperPod automates complex tasks like checkpointing, resource recovery, and distributed training, enabling enterprises like Salesforce and Thomson Reuters to train billion-parameter models without the logistical headaches. But SageMaker is evolving beyond its core machine-learning roots into a unified platform for data analytics, big data processing, and GenAI workflows. The platform's latest iteration consolidates disparate tools into a single, user-friendly interface, offering businesses an integrated suite for data preparation, model development, and deployment. Training Titans: HyperPod and Bedrock As GenAI models grow in size and sophistication, the cost and complexity of training them have skyrocketed. Dr. Sivasubramanian introduced two pivotal innovations aimed at alleviating these challenges. First, HyperPod Flexible Training Plans address the inefficiencies of securing and managing compute resources for training large models. By automating the reservation of EC2 capacity and distributing workloads intelligently, these plans reduce downtime and optimize costs. Second, Bedrock, AWS's managed service for deploying foundational models, makes it easier for developers to select, customize, and optimize GenAI models. Bedrock offers cutting-edge features like Prompt Caching - a cost-saving tool that reduces latency by storing frequently used queries - and Intelligent Prompt Routing, which directs tasks to the most cost-effective model without sacrificing quality. Case Studies in Innovation Throughout his keynote, Dr. Sivasubramanian showcased real-world applications of AWS's GenAI capabilities. Autodesk, the software titan renowned for its design and engineering tools, is leveraging SageMaker to develop GenAI models that combine spatial reasoning with physics-based design principles. These models allow architects to create structurally sound and manufacturable 3D designs, effectively automating tedious aspects of the creative process. Meanwhile, Rocket Companies, a leader in mortgage lending, has deployed Amazon Bedrock to create AI agents that handle 70% of customer interactions autonomously. These agents, embedded in Rocket's AI-driven platform, streamli...
Generative AI is disrupting industries and automakers are not immune. Daniel Newman and Patrick Moorhead are joined by Amazon Web Services' Karthik Bharathy, Deloitte's Chris Jangareddy, and Toyota's Philip Ryan to discuss the transformative power of generative AI in the automotive industry, AWS's innovative technology like Amazon Bedrock and SageMaker, Deloitte's strategic incorporation of GenAI, and Toyota's strategic imperatives in AI that collectively drive enhanced customer experiences and increased market share. Get their insights on
Amazon's AI strategy came into focus this week with the unveiling of Amazon Nova, its new family of homegrown AI models, a new AI model marketplace for Amazon Bedrock, and other news from the AWS re:Invent conference in Las Vegas. It turns out we've seen this before. As the company's AI strategy emerges, there are numerous similarities to its e-commerce business including low cost, broad selection, products from Amazon and its selected vendors, and a marketplace. (This Fortune piece by reporter Jason Del Rey explores these parallels in detail.) After spending four days in Las Vegas, attending sessions, and talking with AWS executives and attendees, GeekWire co-founders Todd Bishop and John Cook offer their takeaways and dissect Amazon's AI strategy on this episode of the GeekWire Podcast, recorded on location at the GeekWire Studios booth on the show floor. Related links and coverage Apple makes surprise cameo at AWS re:Invent Amazon unveils ‘Nova' AI models, looking to make its mark in the generative AI revolution ‘An easy button to get off Windows': Amazon's new AI moves Microsoft apps to Linux Amazon expands Bedrock with new AI model marketplace, a day after unveiling its own ‘Nova' Edited by Curt Milton. See omnystudio.com/listener for privacy information.
This week, we discuss Intel's CEO “resignation,” the rise of custom silicon, and the biggest announcements from AWS re:Invent. Plus, some thoughts on the simple satisfaction of label makers. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=7pl48HWsZZA) 496 (https://www.youtube.com/watch?v=7pl48HWsZZA) Runner-up Titles re:Primitives Primitives, Re:invented Chatbots, Call Center Agents and Dev Co-Pilots. Thanksquitting Even the paranoid die Pardon me while I commoditize your business. Being paranoid has nothing to do with it This is a trailing indicator Robotic Cows. ARMchair Quarterbacking (that was funny!) Arm is going to get X86'd One Bill Rundown Intel Intel Announces Retirement of CEO Pat Gelsinger (https://www.businesswire.com/news/home/20241202016400/en/Intel-Announces-Retirement-of-CEO-Pat-Gelsinger) Intel CEO Forced Out After Board Grew Frustrated With Progress (https://www.bloomberg.com/news/articles/2024-12-02/intel-ceo-pat-gelsinger-retires-amid-chipmaker-s-turnaround-plan?embedded-checkout=true) Intel CEO Pat Gelsinger Resigns After Struggling to Turn Around Chip Maker (https://www.wsj.com/tech/intel-ceo-gelsinger-retires-leaves-board-cb2478e6?mod=mhp) Intel CEO takes his leave as ambition meets reality (https://www.theregister.com/2024/12/02/intel_gelsinger_leave/) Are Intel's Problems Too Big to Fix? (https://www.wsj.com/tech/are-intels-problems-too-big-to-fix-442a7dd7) Nvidia Keeps Its Old Chips Selling Hot (https://www.wsj.com/tech/ai/nvidia-keeps-its-old-chips-selling-hot-2596f11e?mod=article_inline) AWS Re:invent 2024 Top announcements of AWS re:Invent 2024 | Amazon Web Services (https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2024/) CEO Matt Garman unveils the future of cloud with generative AI and agentic workflows (https://siliconangle.com/2024/12/01/aws-reinvent-2024-ceo-matt-garman-unveils-future-cloud-generative-ai-agentic-workflows/) Introducing queryable object metadata for Amazon S3 buckets (preview) (https://aws.amazon.com/blogs/aws/introducing-queryable-object-metadata-for-amazon-s3-buckets-preview/) Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available (https://aws.amazon.com/blogs/aws/amazon-ec2-trn2-instances-and-trn2-ultraservers-for-aiml-training-and-inference-is-now-available/) New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests (https://aws.amazon.com/blogs/aws/new-amazon-q-developer-agent-capabilities-include-generating-documentation-code-reviews-and-unit-tests/) Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview) (https://aws.amazon.com/blogs/aws/build-faster-more-cost-efficient-highly-accurate-models-with-amazon-bedrock-model-distillation-preview/) New APIs in Amazon Bedrock to enhance RAG applications, now available (https://aws.amazon.com/blogs/aws/new-apis-in-amazon-bedrock-to-enhance-rag-applications-now-available/) New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock (https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/) Relevant to your Interests 1Password Interviewing Banks for Possible 2025 Public Offering (https://www.bloomberg.com/news/articles/2024-11-21/1password-interviewing-banks-for-possible-2025-public-offering) FTC reportedly opens antitrust investigation into Microsoft | TechCrunch (https://techcrunch.com/2024/11/27/ftc-reportedly-opens-antitrust-investigation-into-microsoft/?utm_source=dlvr.it&utm_medium=bluesky) This $89 Wi-Fi router is designed to let you run whatever firmware you want (https://www.theverge.com/2024/12/2/24310967/openwrt-one-wi-fi-router-available-price-software-freedom-conservancy) Some Simple Economics of the Google Antitrust Case - Marginal REVOLUTION (https://marginalrevolution.com/marginalrevolution/2024/12/some-simple-economics-of-the-google-antitrust-case.html?utm_source=rss&utm_medium=rss&utm_campaign=some-simple-economics-of-the-google-antitrust-case) Modern Work Fucking Sucks. (https://www.joanwestenberg.com/modern-work-fucking-sucks/) Broadcom Announces the General Availability of VMware Tanzu Platform (https://blogs.vmware.com/tanzu/broadcom-announces-the-general-availability-of-vmware-tanzu-platform-10-making-it-easier-for-customers-to-build-and-launch-new-applications-in-the-private-cloud/) Gartner Identifies Top Three Priorities for CMOs to Deliver Marketing Excellence in 2025 (https://www.gartner.com/en/newsroom/press-releases/2024-12-03-gartner-identifies-top-three-priorities-for-cmos-to-deliver-marketing-excellence-in-2025) Data resilience firm Veeam scores $15B valuation in $2B secondary sale (https://techcrunch.com/2024/12/04/data-resilience-company-veeam-valued-at-15bn-after-2bn-secondary-sale/) LogicMonitor's massive $800M raise shows AI is driving the demand monitoring (https://techcrunch.com/2024/11/20/logic-monitor-massive-800m-raise-shows-ai-drives-demand-for-data-center-monitoring/) Nonsense Drones With Legs Can Walk, Hop, and Jump Into the Air (https://spectrum.ieee.org/bird-drone) How Murderbot Saved Martha Wells' Life (https://www.wired.com/story/murderbot-she-wrote-martha-wells/) Conferences CfgMgmtCamp (https://cfgmgmtcamp.org/ghent2025/), February 2-5, 2025. DevOpsDayLA (https://www.socallinuxexpo.org/scale/22x/events/devopsday-la) at SCALE22x (https://www.socallinuxexpo.org/scale/22x), March 6-9, 2025, discount code DEVOP SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Apple AirTags (https://www.apple.com/airtag/?afid=p238%7CssctkrMBT-dc_mtid_1870765e38482_pcrid_593101533960_pgrid_120928559493_pntwk_g_pchan__pexid__ptid_kwd-836438321478_&cid=aos-us-kwgo-btb--slid---product-) Cloud News of the Month - November 2024 (https://www.thecloudcast.net) Matt: Factorio: Space Age (https://factorio.com/) Coté: Claude (https://claude.ai) is great for D&D. 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How is AWS making generative AI more accessible and cost-effective? Jason Andersen, Vice President and Principal Analyst, Moor Insights & Strategy is joined by Amazon Web Services' Sherry Marcus, Director, Bedrock Science for a look at the science powering AWS's GenAI capabilities on this episode of Six Five at AWS re:Invent. Tune in for details on ⤵️ AWS's internal best practices for building and deploying GenAI capabilities for their customers The role of data science in providing a scalable, secure, and resilient three-layer stack for GenAI at AWS The strategic focus on multi-agent collaboration and model distillation within Amazon Bedrock to facilitate the creation of high-accuracy, low-latency AI models at reduced costs Insights into AWS's process for starting GenAI projects, selecting models for distillation, and the importance of autonomous agents in the future of GenAI An overview of how model routing enhances AWS's GenAI offerings, ensuring efficiency and effectiveness in the deployment of AI solutions
At Amazon's reInvent conference the company unveiled a range of AI-centric innovations. AWS CEO Matt Garman highlighted the transformative potential of generative AI across various industries, introducing Amazon Bedrock, which aims to streamline model training and reduce costs. The new Nova family of foundation models, including Nova Micro, Nova Lite, and Nova Premier, was also announced, showcasing AWS's commitment to enhancing AI capabilities. Additionally, updates to Q-Business, AWS's AI assistant, promise seamless integration with over 40 enterprise tools, enhancing workflow efficiency.The episode also delves into AWS's hardware advancements, particularly the Graviton processor, which offers significant improvements in price performance and energy efficiency. New instances featuring NVIDIA's Blackwell chips and the launch of Tranium 2, AWS's second-generation AI chip, further emphasize the company's focus on supporting AI workloads. To address reliability concerns, AWS introduced automated reasoning to combat AI hallucinations and model distillation for efficient multi-agent collaboration. Furthermore, AWS's new Aurora DSQL engine and Data Transfer Terminal locations aim to enhance data processing and storage capabilities.Shifting gears, Host Dave Sobel discusses a major cyber attack on U.S. telecommunications companies, urging the use of encrypted messaging apps to safeguard communications. The hacking campaign, attributed to China, has raised significant privacy concerns, with officials recommending encryption to protect sensitive information. The episode also touches on the role of AI in the recent global elections, where despite fears of misinformation, AI was utilized positively for language translation and voter engagement, highlighting a more balanced narrative than anticipated.Finally, the episode explores broader industry trends, including Intel's challenges following the forced exit of its CEO and the potential resurgence of monolithic architectures as companies reconsider the complexities of microservices. Sobel emphasizes the evolving role of IT departments, which are gaining recognition and influence within organizations due to the rise of AI. The discussion encourages listeners to reflect on their technology choices, partnerships, and the strategic contributions of IT in navigating these changes.Three things to know today00:00 Amazon Unveils AI-Centric Updates at re:Invent: Nova Models, Hardware Breakthroughs, and Legacy System Modernization06:04 Balancing Risks and Relief: Encryption and AI Oversight Take Center Stage in 2024's Security Landscape08:41 From Intel's Future to Microservices' Decline and IT's Strategic Rise Supported by: http://blumira.com/radio/https://www.coreview.com/msp All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech
AI Advances, X Exodus, China Export Bans, and OpenAI's ChatGPT Restrictions In this episode of Hashtag Trending, Jim Love covers major highlights from AWS reInvent, including the launch of Tranium 2 powered EC2 instances, updates to the Amazon Bedrock platform, and collaborations with top companies for AI advancement. Also discussed is the European Federation of Journalists' departure from X (formerly Twitter) over disinformation concerns, China's export restrictions on key materials for technology and defense, and the discovery of ChatGPT's forbidden names list. Tune in for insight into these significant tech developments and their broader implications. 00:00 Major AI Announcements at AWS reInvent 03:27 European Journalists Leave Twitter 04:58 China's Tech Trade War Escalates 06:34 ChatGPT's Forbidden Names 08:38 Conclusion and Contact Information
ServiceNow (NYSE: NOW), the AI platform for business transformation, and Amazon Web Services (AWS) has announced an expanded strategic collaboration with new capabilities to accelerate AI-driven business transformation across every corner of the enterprise. A new connector enables the seamless use of multimodal models developed and trained on Amazon Bedrock for GenAI-powered workflows in the Now Platform. Additional automation solutions and integrations to seamlessly manage security incidents and procurement are now available on the AWS Marketplace. By deepening its collaboration with AWS and expanding geographically to Canada and Europe expected in 2025, the companies are supercharging value to customers across key industries, including telco, technology, financial services, education, and retail. Connecting Amazon Bedrock models to ServiceNow helps enterprises boost the development and deployment of GenAI solutions. The new connector allows customers to connect seamlessly to their choice of third-party models, based on their specific workflow needs, such as summarisation, advanced analytics, or code generation. Data remains private and secure through ServiceNow and AWS, and customers can set up the integration quickly and easily. "Our partnership with AWS is accelerating business transformation for our joint customers," said Paul Fipps, president of Strategic Accounts at ServiceNow. "More than ever before, organisations demand integrated, end-to-end solutions that enhance user experiences and optimise technology investments. Together, ServiceNow's GenAI workflows and AWS's next-gen cloud capabilities deliver on that promise." "We are committed to empowering our customers with the industry's best tools and resources by leveraging AWS Marketplace to build, deploy and scale GenAI," said Chris Grusz, Managing Director, Technology Partnerships, AWS. "Working with ServiceNow, we're helping our enterprise customers accelerate GenAI deployments and get the most value out of their cloud investments." Expanding integrated solutions, now available in AWS Marketplace ServiceNow is also announcing the availability of new solutions in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS. ServiceNow Security Incident Response integration with AWS Security Hub: AWS Marketplace - Uses security findings from AWS Security Hub to automate the creation of security incidents in SecOps on the Now Platform, often resulting in faster, more efficient incident response and remediation. Resolved incidents and findings will then automatically be updated in AWS Security Hub. Integration with Amazon Business Procurement - Integrates Amazon Business procurement with ServiceNow Procurement Operations to enable greater visibility into approved suppliers, purchase requests, changes to prices, order confirmation, and shipping notifications. This streamlines the approval and onboarding of Amazon Business as a supplier for the enterprise and provides built-in governance and procurement policies for Now Platform users. Accelerating business outcomes, maximising cloud investment This announcement builds on ServiceNow and AWS's continued collaboration, bringing the advanced cloud capabilities of AWS to the innovative solutions on the Now Platform, helping customers accelerate business outcomes, realise cloud value, enhance digital experiences, and reimagine GenAI-powered workflows. A range of global enterprise customers, including Bell Canada, Boomi and Pearson are already seeing remarkable value and significant cost savings. Bell Canada "ServiceNow has become a cornerstone of Bell Canada's enterprise services strategy to streamline and enhance end-to-end processes," said John Watson, President, Bell Business Markets, AI and FX Innovation. "By harnessing the Now Platform's advanced automation and AI capabilities powered by AWS, we are dr...
Have you ever wondered what it takes to transform data management into a fearless, innovative journey that empowers businesses to thrive in a data-driven world? In this episode, I'm joined by Alberto Pan Executive VP & CTO at Denodo, a global leader in logical data management and integration. Alberto takes us through Denodo's remarkable growth story and its groundbreaking innovations, including the Denodo 9 Platform and its recent advancements in Generative AI. As businesses grapple with the complexities of Generative AI, Denodo is stepping up with pioneering solutions. Alberto discusses how their collaborations with Google Cloud Vertex AI, Amazon Bedrock, Nvidia, and OpenAI are revolutionizing enterprise AI initiatives. Through Retrieval Augmented Generation (RAG), Denodo is enhancing AI applications by connecting large language models with up-to-date corporate data, addressing challenges like security, privacy, and query accuracy. These advancements not only enable the creation of intelligent virtual assistants but also significantly improve enterprise AI's ability to meet real-world business needs. Alberto also shares the unique features that set Denodo apart, emphasizing the value of its logical data platform for delivering data at the speed of business. From real-time unified data access to a semantic layer that ensures accuracy and governance, Denodo's innovations are driving efficiency and ROI for organizations across industries. We'll also explore future trends in enterprise AI, from the importance of solid data foundations to the increasing convergence of structured and unstructured data. With insights into Denodo's partnerships and tools like the Denodo AI SDK, this episode is packed with actionable takeaways for anyone navigating the rapidly evolving data landscape. How do you see Generative AI shaping the future of data management? Tune in to the discussion, and let us know your thoughts!
In this episode, Sandy Vance interviews Parminder “Parry” Bhatia, Chief AI Officer at GE Healthcare, about the integration of generative AI and machine learning in healthcare. They discuss the transformative potential of these technologies in improving clinical efficiency, reducing burnout, and enhancing patient care. Parminder shares insights on recent innovations, the concept of agentic AI, and the importance of responsible AI practices in ensuring safe and effective healthcare solutions. The discussion highlights GE Healthcare's commitment to advancing AI technologies while maintaining a focus on ethical considerations and collaboration with clinical partners.In this Episode they discuss:GE Healthcare is leading in AI and machine learning integration.Generative AI is set to revolutionize healthcare data management.AI technologies can significantly reduce clinical burnout.The Care Intellect application enhances oncology care efficiency.Agentic AI offers proactive solutions in complex healthcare scenarios.Responsible AI practices are crucial for building trust in technology.AI can streamline workflows and improve patient experiences.Collaboration with clinical partners is essential for innovation.The AI Innovation Lab fosters early-stage research and development.GE Healthcare aims to enhance healthcare delivery for over a billion patients.About Parminder "Parry" Bhatia: At GE HealthCare, Parminder is focused on integrating AI across areas including smart devices, across the patient journey, and at the hospital operation level.GE HealthCare has a long track record innovating in AI, and has topped the Food and Drug Administration's (FDA) list of AI-enabled medica devices for three years in a row, with 80+ AI-enabled medical device authorizations. Parminder leads a team that is helping to advance AI integration within medical devices at GE HealthCare, with the ultimate goal of enhancing patient outcomes and creating a world where healthcare has no limits. Parry is part of the company's internal committee on responsible AI to help ensure that new AI applications are reliable, scalable, and ethically sound. He has been recognized by the AIM “AI 100” 2024 Awards and Constellation Research's Artificial Intelligence 150 “AI 150” list.Previously, Parminder was Head of Science for Generative AI at Amazon, where he led the development of machine learning and generative AI products including Amazon Comprehend Medical for analyzing medical record data at scale, Amazon Q for developer productivity, and Amazon Bedrock for democratizing access to Large Language Model technologies globally.He has held previous roles in AI and machine learning at Microsoft and Georgia Tech.
Register here for AWS re:Invent 2024, Dec 2-6, Las Vegas, NV-------Benjamin Flast, Director, Product Management at MongoDB discusses vector search capabilities, integration with AWS Bedrock, and its transformative role in enabling scalable, efficient, and AI-powered solutions.Topics Include:Introduction to MongoDB's vector search and AWS BedrockCore concepts of vectors and embeddings explainedHigh-dimensional space and vector similarity overviewEmbedding model use in vector creationImportance of distance functions in vector relationsVector search uses k-nearest neighbor algorithmEuclidean, Cosine, and Dot Product similarity functionsApplications for different similarity functions discussedLarge language models and vector search explainedIntroduction to retrieval-augmented generation (RAG)Combining external data with LLMs in RAGMongoDB's document model for flexible data storageMongoDB Atlas platform capabilities overviewUnified interface for MongoDB document modelApproximate nearest neighbor search for efficiencyVector indexing in MongoDB for fast queryingSearch nodes for scalable vector search processingMongoDB AI integrations with third-party librariesSemantic caching for efficient response retrievalMongoDB's private link support on AWS BedrockFuture potential of vector search and RAG applicationsExample use case: Metaphor Data's data catalogExample use case: Okta's conversational interfaceExample use case: Delivery Hero product recommendationsFinal takeaways on MongoDB Atlas vector searchParticipants:Benjamin Flast - Director, Product Management, MongoDBSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
Register here for AWS re:Invent 2024, Dec 2-6, Las Vegas, NV-------David Gildea of Druva shares their approach to building cost-effective, fast generative AI applications, focusing on cybersecurity, data protection, and the innovative use of LLMs for simplified, natural language threat detection.Topics Include:Introduction by Dave Gildea, VP of Product at Druva.Focus on building generative AI applications.Emphasis on cost and speed optimization.Mention of Amazon's Matt Wood keynote.AI experience with kids using "Party Rock."Prediction: GenAI as future workplace standard.Overview of Druva's data security platform.Three key Druva components: protection, response, and compliance.Druva's autonomous, rapid, and guaranteed recovery.Benefits of Druva's 100% SaaS platform.Handling 7 billion backups annually.Managing 450 petabytes across 20 global regions.Druva's high NPS score of 89.Introduction to Dru Investigate AI platform.Generative AI for cybersecurity and threat analysis.Support for backup and security admins.Simplified cybersecurity threat detection.AI-based natural language query interpretation.Historical analogy with Charles Babbage's steam engine."Fail upwards" model for LLM optimization.Using small models first, escalating to larger ones.API security and customer data protection.Amazon Bedrock and security guardrails.Testing LLMs with Amazon's new prompt evaluation tool.Speculation on $100 billion future model costs.Session wrap upParticipants:· David Gildea - VP Product Generative AI, GM of CloudRanger, DruvaSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
Send Everyday AI and Jordan a text messageWanna learn Claude's new agentic AI? Got 30ish minutes? This is the show for you then. In short -- Computer Use is an agentic AI system where you can control a virtual computer just by talking to Claude. Join us as we break it down. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Claude AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Overview of Anthropic Claude2. How to Use Claude Computer Use3. Critiques of Anthropic's Tools4. Future of AI AgentsTimestamps:00:00 AI agents essential in businesses by 2025.04:48 Google developing AI agent 'Jarvis'; competition intensifies.10:01 Using an API key; GitHub shares code.11:22 Docker is a versatile containerization tool for developers.15:36 Claude Sonnet 3.5 limits commands despite plans.17:08 Replace placeholder with copied API key.23:17 Demonstrating computer vision on a virtual desktop.25:33 Claude retained information without website visit.29:31 Experiencing repeated errors toggling between applications.30:49 Visit everydayai.com, list latest 3 episodes.35:10 Word document created with AI episode summaries.37:12 Direct AI with simple code; needs improvement.Keywords:Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
Send Everyday AI and Jordan a text messageAI can use computers now? Yup. With Claude 3.5 Sonnet updates, Anthropic's LLM now has access to 'Computer Use.' Is this new mode going to change how we use LLMs? And what else is noteworthy with Claude's new updates in 3.5? We'll go over it all. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Anthropic ClaudeUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Claude 3.5 Updates2. Computer Use Feature3. API and Pricing4. Model Benchmarks5. Potential for Business ApplicationsTimestamps:02:15 Daily AI news05:10 New updates from Anthropic06:32 Claude excels in human-like writing, lacks connectivity.09:56 Claude 3.5 updates: SONNET new, now labeled.11:36 New computer use excels with unstructured data.14:39 Discuss Anthropic's unique API and pricing strategy.18:13 Claw 3.5 SONNET excels in benchmark comparisons.23:07 Cherry-picking without fair benchmarks undermines credibility.26:33 PPP course improves prompt usage effectively.27:37 Model omitted; operates logically using chain-of-thought.31:17 Anthropic omitted model to avoid poor benchmarks.37:09 Automated research and planning for sunrise viewing.39:40 New tech handles errors; works with unstructured data.43:44 Utilizes screenshots for computer vision, correcting issues.46:02 Using the API quickly exhausts token limits.48:38 Evaluate potential business impact of Anthropic's feature.Keywords:Anthropic, AI technology, programming a virtual computer, future implications for businesses, OpenAI, shipping product in beta, SONNET 35, Haiku 35, AI in future work environments, daily AI newsletter, computer use feature, Robotics Process Automation (RPA), API and Pricing, Claude 3.5 SONNET, benchmarks, community engagement, Jordan Wilson, Claude's natural language interface, Docker, Amazon Bedrock, Google Cloud's Vertex AI, MMLU Benchmark, Coding Benchmark, Math Problem Solving, Chain of Thought Reasoning, Host's Opinion, Prime Prompt Polish Course, Stability AI, Midjourney, Canva Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
AWS Morning Brief for the week of October 21, with Corey Quinn. Links:Amazon CloudFront launches support for JA4 fingerprintingAmazon EC2 Dedicated Hosts now supports live migration-based host maintenanceAmazon EFS now supports up to 60 GiB/s (a 2x increase) of read throughputAnnouncing Amazon Q in AWS Supply ChainAmazon S3 adds new Region and bucket name filtering for the ListBuckets APIAssign billing of your shared Amazon EC2 On-Demand Capacity ReservationsAWS Resource Explorer introduces new API to list resource inventoryAWS Transfer Family SFTP connectors now provide real-time status of file transfer operationsFinch expands support to Linux, streamlining container development across platformsUbuntu Pro for EC2 Spot InstancesInnovating with AI in Regulated IndustriesImprove public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock
Episode Summary:In this episode, Maribel Lopez discusses generative AI with Dr. Sherry Marcus, the Director of Generative AI Sciences at Amazon Web Services. Her insights into the artificial intelligence needs of businesses gives her a unique perspective on the future of generative AI. Learn about the concept of agents in AI, why customers are moving toward the use of multiple models, and the ways AI might evolve in the future.Key Themes:Maribel and Sherry begin their conversation by discussing Amazon Bedrock, which is Amazon's AI building service. The technology allows AWS customers to create their own AI models by offering choices of foundational models that can be customized.Next, Sherry and Maribel discuss AI agents. In AI, Agents can retrieve real-time data to assist LLMs in providing information they cannot access in their training data. They also discuss how customers are currently using artificial intelligence, and why there is a shift away from specific modes and toward using multiple models for different use cases.Dr. Sherry Marcus also explains how customers have historically used RAG (Retrieval Augmented Generation) to answer questions, and how that technology is evolving. Last, she explains why companies are using synthetic data to train their models, her predictions for the future of AI, and her favorite primer on AI.Read What Is Chat GPT Doing… and Why Does It Work? by Stephen Wolfham: https://www.amazon.com/What-ChatGPT-Doing-Does-Work/dp/1579550819 Follow Dr. Sherry Marcus: https://www.linkedin.com/in/sherry-marcus-ph-d-4a4110/ Learn more about AWS: http://aws.amazon.com/ Visit Maribel Lopez's Website: https://www.lopezresearch.com/ Follow Maribel Lopez on X/Twitter: https://x.com/maribellopez Subscribe to Maribel Lopez on YouTube: https://www.youtube.com/c/MaribelLopezResearch Follow Maribel Lopez on LinkedIn: https://linkedin.com/in/maribellopez/
Daryl Martis of Salesforce and Rashna Chadha of AWS share how Amazon Bedrock integrates with Salesforce to enhance AI applications, highlighting the partnership's strategic benefits, AI model customization, and secure deployment options.Topics Include:Introduction to Amazon Bedrock and Salesforce partnership.Overview of Amazon Bedrock as an API-based generative AI service.The strategic collaboration between AWS and Salesforce.Salesforce Data Cloud and its integration with Amazon Bedrock.Overview of Salesforce Einstein and its use of Amazon SageMaker.Recent AI launches between Salesforce and AWS, including Slack AI and MuleSoft.Use cases of AI services like Amazon Textract within Salesforce.Bringing Your Own Large Language Model (BYO LLM) with Bedrock.Foundation models offered by Amazon Bedrock (Anthropic, Cohere, Llama).Overview of security, privacy, and compliance in Bedrock AI services.Salesforce Data Cloud's unified customer data and real-time AI capabilities.Bedrock's support for custom AI model evaluation and metrics.Consumption models in Bedrock: on-demand vs. provision throughput.Bedrock's agent capabilities for real-world applications like scheduling.Demo of using Amazon Bedrock models within Salesforce.Participants:Daryl Martis – Director of Product Management, Einstein AI - SalesforceRashna Chadha – AI/ML Specialist – Principal Solution Architect – Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
Oracle and Amazon Web Services, Inc. (AWS) have announced the launch of Oracle Database@AWS, a new offering that allows customers to access Oracle Autonomous Database on dedicated infrastructure and Oracle Exadata Database Service within AWS. Oracle Database@AWS will provide customers with a unified experience between Oracle Cloud Infrastructure (OCI) and AWS, offering simplified database administration, billing, and unified customer support. In addition, customers will have the ability to seamlessly connect enterprise data in their Oracle Database to applications running on Amazon Elastic Compute Cloud (Amazon EC2), AWS Analytics services, or AWS's advanced artificial intelligence (AI) and machine learning (ML) services, including Amazon Bedrock. With direct access to Oracle Exadata Database Service on AWS, including Oracle Autonomous Database on dedicated infrastructure and workloads running on Oracle Real Application Clusters (RAC), Oracle Database@AWS allows customers to bring together all of their enterprise data to drive breakthrough innovation. The new offering provides a low latency network connection between Oracle databases and applications on AWS. This allows customers to benefit from Oracle Autonomous Database, a fully automated and managed Oracle Database service, and the performance, availability, security, and cost-effectiveness of Oracle Exadata Database Service, while enjoying the security, agility, flexibility, and sustainability benefits provided by AWS. "We are seeing huge demand from customers that want to use multiple clouds," said Larry Ellison, Oracle Chairman and CTO. "To meet this demand and give customers the choice and flexibility they want, Amazon and Oracle are seamlessly connecting AWS services with the very latest Oracle Database technology, including the Oracle Autonomous Database. With Oracle Cloud Infrastructure deployed inside of AWS datacenters, we can provide customers with the best possible database and network performance." "As far back as 2008, customers could run their Oracle workloads in the cloud, and since then, many of the world's largest and most security sensitive organisations have chosen to deploy their Oracle software on AWS," said Matt Garman, CEO at AWS. "This new, deeper partnership will provide Oracle Database services within AWS to allow customers to take advantage of the flexibility, reliability, and scalability of the world's most widely adopted cloud alongside enterprise software they rely on." Oracle Database@AWS will help customers continue to accelerate their migration to the cloud and modernise their IT environments. Customers can also benefit from: Zero-ETL integration between Oracle Database services and AWS Analytics services. Customers will be able to seamlessly and securely connect and analyse data across Oracle Database services and applications they already have running on AWS to get faster, deeper insights without having to build pipelines. Flexible options to simplify and accelerate migrating their Oracle databases to the cloud, including compatibility with proven migration tools such as Oracle Zero Downtime Migration. A simplified procurement experience via AWS Marketplace that enables customers to purchase Oracle Database services using their existing AWS commitments and use their existing Oracle license benefits, including Bring Your Own License (BYOL) and discount programs such as Oracle Support Rewards (OSR). A fully unified support experience from both AWS and Oracle as well as guidance through reference architectures, landing zones, and other collateral for customers to successfully build and run their most trusted enterprise applications in the cloud. Seamless integration with Amazon Simple Storage Service (Amazon S3) for an easy and secure way to perform database backups and restoration, and to aid with disaster recovery. Customers are able to easily launch their Oracle Database@AWS experience using familiar tools such as the AWS Management Con...
Lacework's VP and Head of Engineering Arash Nikkar, and Product and Security Software Engineer Teddy Reed, discuss their work with generative AI and Amazon Bedrock, focusing on threat detection, chat interface improvements, and the rapid development of AI-driven solutions.Topics Include:Introducing Lacework with Arash NikkarWorking with AWS and BedrockFocusing on threat detectionLacework ingests over a trillion events each dayComposite alerts for detecting anomaliesDeveloping and improving the chat interfaceTeddy Reed talking chat interface improvementsReviewing the architectureFast engagement with generative AI / AWS BedrockThe rapid delivery with Bedrock – took 20% of expected timeBest practice – build in time to review and verify responsesMeasuring customer's engagement and return frequency and feedbackUnderstanding customer sentiment and topic analysisAchieving 60% completed results and feedbackTransparency of source, responseEnabling assistant to have more access to data from LLMUsing AWS' model evaluator, raising the accuracy scoresMoving everything over to Bedrock for multiple reasonsFamiliarity of AWS tools helpful for all development and security teamsAlways challenging assumptions – is chat interface the right interface?Q&A 1: Using vector database for analysis, using results as system promptQ&A 2: Approaching cost-optimization and balancing ROIQ&A 3: Using as automated remediation for findingsQ&A 4: Data source Bedrock in leveragingSession wrap upParticipants:Arash Nikkar – VP, Head of Engineering – LaceworkTeddy Reed – Product and Security Software Engineer - Lacework
Workday kicked off the week by announcing results for the fiscal 2025 second quarter ended July 31st, 2024. Infor made a major announcement with the selection of Amazon Bedrock, a service for building and scaling generative applications, to deploy GenAI solutions embedded within Infor CloudSuite. Deltek announced new enhancements to its purpose-built solutions for government contractors. Aptean made two major announcements this week with the delivery of tailored AI embedded in its cloud-native Aptean Food & Beverage ERP and its acquisition of SSG Insight.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup
Today, Dr. Ratinder Paul Singh Ahuja of Pure Storage takes us through how his organization is leveraging Amazon Bedrock to enrich the digital experience for end users and increase returns for the company.Topics Include:IntroductionsGenerative AI activity within Pure StorageOwnership and expertise of team, role of generative AIRapid changes require dedicated team reporting to office of CTOWhere Pure Storage is investing – Productivity gains, Customer Experience, R&DVision starts with the needs of the business usersGenAI Ops – Content, Voctor databases for ingestion, query strategies & securityExample – Purchase Acquisition ProcessFeatures for a mobile experienceConfigurations and logs are getting more enhanced with generative AIDefining schema and improving large language model for more accurate responsesSecurity models and deploymentSummary and session wrap upQ&A 1) How did the team get trained to use the generative AI tools and systems?Q&A 2) How did the team reduce the hallucinations?Q&A 3) How did you decide on which foundation models to use?Q&A 4) The ROI of this particular use caseQ&A 5) Models working with poly-morphic evolving inputsSession conclusion
This week, we discuss the 5 key trends from Bessemer's State of the Cloud 2024 report. Plus, Matt makes a stock pick for the next 10 years! Runner-up Titles Is it named after Hootie and the Blowfish? Prepaying for your bad behavior You have a thought piece, we're gonna think about it The Footloose Soundtrack Rundown Amazon Hits $2 Trillion Market Value as AI Frenzy Fuels Rally (https://www.bloomberg.com/news/articles/2024-06-26/amazon-amzn-hits-2-trillion-market-value-as-ai-frenzy-fuels-rally) State of the Cloud 2024 (https://www.bvp.com/atlas/state-of-the-cloud-2024) The Real Reason Why Music Is Getting Worse (https://youtu.be/1bZ0OSEViyo?si=F_Yy7c1RYkXh-Iqd) Relevant to your Interests The short, happy reign of CD-ROM (https://www.fastcompany.com/91128052/history-of-cd-roms-encarta-myst) 1Password is simplifying setup on new devices and adding 'Recovery codes' (https://9to5google.com/2024/06/20/1password-recovery-code-sign-in-beta/) Apple is winning in financial services (https://www.axios.com/2024/06/20/apple-winning-finance-bnpl) Anthropic's latest model, Claude 3.5 Sonnet, just released on Amazon Bedrock (https://www.threads.net/@ajassy/post/C8ccbgRiEeY) What it Takes to Be Valued at >10x Rev (https://cloudedjudgement.substack.com/p/clouded-judgement-62124-what-it-takes?utm_source=post-email-title&publication_id=56878&post_id=145617522&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Microsoft makes Copilot less useful on new Copilot Plus PCs (https://www.theverge.com/2024/6/21/24182979/microsoft-copilot-key-keyboard-shortcut-pwa) Exclusive: Amazon mulls $5 to $10 monthly price tag for unprofitable Alexa service, AI revamp (https://www.reuters.com/technology/amazon-mulls-5-10-monthly-price-tag-unprofitable-alexa-service-ai-revamp-2024-06-21/) Amazon's new AI-powered Alexa might cost up to $10 per month (https://www.theverge.com/2024/6/21/24183013/amazon-alexa-ai-subscription) Is Your Driving Being Secretly Scored? (https://www.nytimes.com/2024/06/09/technology/driver-scores-insurance-data-apps.html) AI Tools Are Secretly Training on Real Images of Children (https://www.wired.com/story/ai-tools-are-secretly-training-on-real-childrens-faces/) Nvidia Is No Cisco, but It Is Getting Expensive (https://www.wsj.com/finance/investing/nvidia-is-no-cisco-but-it-is-getting-expensive-1938fcc0) Microsoft shelves its underwater data center (https://www.tomshardware.com/desktops/servers/microsoft-shelves-its-underwater-data-center) With Pen and Paper in Hand, Car Dealers Improvise as Cyber Outage Persists (https://www.wsj.com/business/autos/with-pen-and-paper-in-hand-car-dealers-improvise-as-cyber-outage-persists-2642ebb7) Nvidia Insiders Cash In on Rally as Share Sales Top $700 Million (https://www.bloomberg.com/news/articles/2024-06-18/nvidia-nvda-insiders-cash-in-on-rally-as-share-sales-top-700-million) We've got to talk about the environment when we talk about AI (https://thehustle.co/news/we-ve-got-to-talk-about-the-environment-when-we-talk-about-ai) Gmail's Gemini AI sidebar and email summaries are rolling out now (https://www.theverge.com/2024/6/24/24185277/google-gmail-gemini-ai-sidebar) Google is bringing Gemini access to teens using their school accounts (https://techcrunch.com/2024/06/24/google-is-bringing-gemini-access-to-teens-using-their-school-accounts/) Managing Your Mac Menu Bar: A Roundup of My Favorite Bartender Alternatives (https://feed.feedburster.com/macstoriesnet/redirect?url=https://www.macstories.net/roundups/managing-your-mac-menu-bar-a-roundup-of-my-favorite-bartender-alternatives/) Report: Amazon developing AI chatbot that would compete with ChatGPT and others (https://www.geekwire.com/2024/report-amazon-developing-ai-chatbot-that-would-compete-with-chatgpt-and-others/) How to escape VMware's pricey clutches with Virt-v2v (https://www.theregister.com/2024/06/21/virtv2v_helps_you_move_vms/) Figma's new Slides app focuses on design, fun, and (oh, yeah!) AI (https://www.fastcompany.com/91145153/figma-slides-presentations-config-2024) Powering the AI Revolution: The PyTorch Documentary (https://pytorch.org/blog/pytorch-documentary/) Polyfill supply chain attack hits 100K+ sites (https://sansec.io/research/polyfill-supply-chain-attack) Some CIOs say getting full value out of AI tools like Copilot for Microsoft 365 requires heavy lifting, as enterprise data isn't always accurate and up-to-date (http://www.techmeme.com/240626/p6#a240626p6) ****## Nonsense Cybertruck: The Embarrassing beginning of Teslas Demise (https://youtu.be/MoYXhcxngxI?si=Rxg48DLqAtyAE-Ck) The Buc-ee's Statue Got A New Look, And Fans Have Thoughts (https://www.southernliving.com/buc-ees-luling-statue-8665734) Delta's most exclusive airport lounge opens. Here's what's inside (https://www.cnbc.com/2024/06/25/delta-one-jfk-airport-lounge.html) Explaining Software Development Methods By Flying to Mars [Comic] (https://toggl.com/blog/mars-software-development) Sponsors Check out www.apilayer.com (https://apilayer.com/?utm_source=SoftwareDefinedTalkPodcast&utm_medium=Leads%20Acquisition&utm_campaign=PodcastDescription)! From scraping, finance to weather data, apilayer offers reliable and easy-to-integrate APIs for all your needs. Trusted by developers at companies worldwide. Use the code SDT2024 for an exclusive discount - 50% for 3 months on 100 API plans. Code is valid until Sep 30, 2024 Conferences DevOpsDays Birmingham (https://devopsdays.org/events/2024-birmingham-al/welcome/), August 19–21, 2024 DevOpsDays Antwerp (https://devopsdays.org/events/2024-antwerp/welcome/), 15th anniversary, Sep 4th-5th. 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Recommendations Brandon: Pause your YouTube TV Subscription (https://support.google.com/youtubetv/answer/7129668?hl=en&co=GENIE.Platform%3DAndroid#zippy=%2Chow-to-pause-your-membership) Matt: Anti-pick: NBN Broadband Photo Credits Header (https://unsplash.com/photos/two-linemen-on-cherry-pickers-fHLdXfURDhA) Artwork (https://unsplash.com/photos/a-yellow-arrow-is-surrounded-by-red-arrows-SWJPQQkuFWA)
Harness the Power of Amazon Bedrock: Discover how Amazon Bedrock simplifies the deployment and scaling of generative AI models. Uncover its key features, including Bedrock Studio, Knowledge Bases, and Guardrails, and learn how they empower businesses to leverage the diverse model choices from providers like Anthropic, Cohere, and Meta. Explore real-world customer stories and innovative use cases across industries.
Suman Debnath, principal developer advocate for machine learning at Amazon Web Services, emphasized the advantages of using Python in machine learning during a New Stack Makers episode recorded at PyCon US. He noted Python's ease of use and its foundational role in the data science ecosystem as key reasons for its popularity. However, Debnath highlighted that building generative AI applications doesn't necessarily require deep data science expertise or Python. Amazon Bedrock, AWS's generative AI framework introduced in September, exemplifies this flexibility by allowing developers to use any programming language via an API-based service. Bedrock supports various languages like Python, C, C++, and Java, enabling developers to leverage large language models without intricate knowledge of machine learning. It also integrates well with open-source libraries such as Langchain and llamaindex. Debnath recommends visiting the community AWS platform and GitHub for resources on getting started with Bedrock. The episode includes a demonstration of Bedrock's capabilities and its benefits for Python users. Learn More from The New Stack on Amazon Bedrock: Amazon Bedrock Expands Palette of Large Language Models Build a Q&A Application with Amazon Bedrock and Amazon Titan 10 Key Products for Building LLM-Based Apps on AWSJoin our community of newsletter subscribers to stay on top of the news and at the top of your game/
Key stories in this episode include shadow AI arriving via employees, Meta's secret generative AI strategy, and a new framework for entertainment applications powered by the technology. There are also six stories about big funding rounds and several products adding generative AI-powered features. Generative AI News Top Story of the Week
This episode dives into the Amazon Bedrock Converse API, a new release that simplifies integrating large language models (LLMs) into your applications. We'll talk with Dennis from the AWS Developer Experience team about how Converse tackles common integration challenges, and explores the concept of tools for unlocking new orchestration capabilities for LLMs. By the end, you'll be equipped to get the most out of foundation models on Amazon Bedrock. With Dennis Traub, Developer Advocate, AWS Links ----- Here are the links to the tools, technologies, or articles we mentioned in this episode. Amazon Bedrock Converse API - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html A developer's guide to Bedrock's new Converse API (Dennis' blog post series) - https://community.aws/content/2dtauBCeDa703x7fDS9Q30MJoBA/amazon-bedrock-converse-api-developer-guide Getting started with the Amazon Bedrock Converse API (James blog posts series, showing tools in action) - https://community.aws/content/2hHgVE7Lz6Jj1vFv39zSzzlCilG/getting-started-with-the-amazon-bedrock-converse-api?lang=en Another blog post about using tools with converse API, Davide Gallitelli - https://dgallitelli95.medium.com/amazon-bedrock-explained-with-memes-converse-api-and-tool-usage-w-anthropic-claude-3-001c341347ca Dennis' example to use tools (in python) : the page from the Amazon Bedrock documentation and the full source code on GitHub - https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-runtime_example_bedrock-runtime_Scenario_ToolUseDemo_AnthropicClaude_section.html https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-runtime/cross-model-scenarios/tool_use_demo
In this podcast episode, we delve into the crucial topic of security related to AI and Machine Learning, with a particular focus on Generative AI. As AI and ML technologies rapidly advance, it is imperative to implement a robust security strategy based on the principle of Defense in Depth. We'll explore the potential security and privacy risks associated with AI/ML systems, highlighting the importance of Responsible AI practices. Additionally, we'll discuss practical approaches to implementing security measures within specific AI/ML services, such as Amazon Bedrock, a secure and compliant foundation for building and deploying AI/ML applications on AWS. Join us as we navigate the intricate landscape of AI/ML security, equipping you with the knowledge and best practices to safeguard your AI/ML deployments and mitigate potential risks.AWS re:Inforce 2024:https://hub.reinforce.awsevents.com/attendee-portal/catalog/?filters=5B4D572F-79F0-EE11-81DE-9CF328ECC866&search=APS351AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
In this episode, we chat with Randall Hunt, the VP of Technology at Caylent, about the world of generative AI and how it's changing industries. Randall talks about his journey from being an AWS critic to leading tech projects at Caylent. He shares cool insights into the latest tech innovations, the challenges and opportunities in AI, and his vision for the future. Randall also explains how AI is used in healthcare, finance, and more, and gives advice for those interested in tech. Show Highlights: (00:00) - Introduction (00:28) - Randall talks about his job at Caylent and the projects he's working on(01:35) - Randall explains his honest and evolving perspective on Amazon Bedrock after working with it hands-on(03:35) - Randall breaks down the components and improvements of AWS Bedrock(06:08) - Improvements in AWS Bedrock's preview announcements and API functionality(08:05) - Randall's predictions on the future of generative AI models and their cost efficiency(10:00) - Randall shares practical use cases using distilled models and older GPUs(12:12) - Corey shares his experience with GPT-4 and the importance of prompt engineering(17:21) - Bedrock console features for comparing and contrasting AI models(21:02) - enterprise applications of generative AI and building reliable AI infrastructures(28:13) - Randall and Corey delve into the costs of training large AI models(36:37) - Randall talks about real-world applications of Bedrock in industries like HVAC management(39:40) - Closing thoughts and where to connect with RandallAbout Randall Hunt: Randall Hunt is a Software Engineer and Open Source Developer Advocate at Facebook. Previously of AWS, SpaceX, MongoDB, and NASA., Randall Hunt, VP of Cloud Strategy and Solutions at Caylent, is a technology leader, investor, and hands-on-keyboard coder based in Los Angeles, CA. Previously, Randall led software and developer relations teams at Facebook, SpaceX, AWS, MongoDB, and NASA. Randall spends most of his time listening to customers, building demos, writing blog posts, and mentoring junior engineers. Python and C++ are his favorite programming languages, but he begrudgingly admits that Javascript rules the world. Outside of work, Randall loves to read science fiction, advise startups, travel, and ski., Randall is the coder in the boardroom.Links referenced: Randall Hunt on LinkedIn: https://www.linkedin.com/in/ranman/Caylent: https://caylent.com/Caylent on Linkedin: https://www.linkedin.com/company/caylent/* Sponsor Prowler: https://prowler.com
In recent months, Epiq, a global company providing technology-enabled legal services, has announced new artificial intelligence and analytics features built using the AI capabilities of Amazon Web Services. These new features include a framework for building, training and deploying bespoke machine learning models as secure APIs for customers; integration of Amazon Bedrock for custom copilot development using a range of commercially available large language models; and other features. Joining LawNext today to provide details on all this and to explain what it means for Epiq's clients is Roger Pilc, president and general manager of Global Legal Solutions at Epiq. With Epiq since 2019, Pilc is responsible for driving strategy and execution around organic growth, strategic acquisitions, product development, technology, and innovation for a broad range of products in areas including information governance, forensics, e-discovery processing and hosting, managed document review, and advanced analytics. Pilc and host Bob Ambrogi talk about Epiq's evolution from primarily a services company to one that also develops its own proprietary technology, while also integrating with a range of technology partners. They also discuss Epiq's recent initiatives to use AI to further enhance its products, including the Epiq Service Cloud, Epiq Discovery, and the Epiq AI Platform. We also hear Pilc's thoughts on how AI will impact the future of legal services and the future of Epiq. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.
If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Shruti questions on GenAI and AWSRelated Episodes:Ep 238: WWT's Jim Kavanaugh Gives GenAI Blueprint for BusinessesEp 232: Creating and Capturing Business Value with GenAI – Insights From HPEUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 About Shruti Koparkar and AWS02:50 More on AWS and Generative AI09:54 X-rated computing used to fine-tune models. 12:46 Adobe focused on AI tools, using AWS.17:50 AI evolution and AWS preparedness for influx.21:01 Experienced ARM engineer excited about NVIDIA's potential.24:08 Identify use cases for small-scale applications.Topics Covered in This Episode:1. AWS and its Role in Generative AI2. AWS and Foundation Models2. AWS's Involvement with Companies Implementing Generative AI4. Future Preparations of AWS for Generative AI DevelopmentsKeywords:generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
AWS Morning Brief for the week of March 18, 2024 with Corey Quinn. Links:Amazon EFS now supports up to 20 GiB/s of throughputAmazon SES now offers support for headers when sending emailAWS announces Aurora MySQL integration with Amazon Bedrock for Generative AI AWS Backup now supports restore testing for Amazon Elastic Block Store (EBS) Snapshots Archive Experience up to 40% faster stack creation with AWS CloudFormationAWS Cost Categories launches a revamped user interface Anthropic's Claude 3 Haiku model is now available on Amazon BedrockNew European study: AI skills will significantly boost productivity and salaries
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