Scott Juang’s Post

Congrats to the GenAI AWS Partners for winning 2024 Geo and Global AWS Partners of the Year at Amazon Web Services (AWS) re:Invent 2024. Looking forward to continued success with our GenAI leading partners. 𝐆𝐞𝐧𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐘𝐞𝐚𝐫: Recognizes top technology partners with the Generative AI Competency that leverage AWS Generative AI tools to craft innovative solutions for AWS Customers. 𝑮𝒍𝒐𝒃𝒂𝒍: 𝑾𝒊𝒏𝒏𝒆𝒓 – 𝑵𝒗𝒊𝒅𝒊𝒂 | 𝑭𝒊𝒏𝒂𝒍𝒊𝒔𝒕𝒔 – 𝑾𝒆𝒊𝒈𝒉𝒕𝒔 & 𝑩𝒊𝒂𝒔𝒆𝒔, 𝑭𝒊𝒓𝒆𝒎𝒊𝒏𝒅 𝑷𝑼𝑳𝑺𝑬 𝐆𝐞𝐧𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐘𝐞𝐚𝐫: Recognizes top technology partners with the Generative AI Competency that support vector embeddings data storage and management or synthetic data generation in multiple types and formats. 𝑮𝒍𝒐𝒃𝒂𝒍: 𝑾𝒊𝒏𝒏𝒆𝒓 – 𝑬𝒍𝒂𝒔𝒕𝒊𝒄 | 𝑭𝒊𝒏𝒂𝒍𝒊𝒔𝒕𝒔 – 𝑴𝒐𝒏𝒈𝒐𝑫𝑩, 𝑫𝒂𝒕𝒂𝒔𝒕𝒂𝒙 𝐆𝐞𝐧𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐨𝐫 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐘𝐞𝐚𝐫: Recognizes top technology partners with the Generative AI Competency that possess a unique advantage in driving the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies. 𝑮𝒍𝒐𝒃𝒂𝒍: 𝑾𝒊𝒏𝒏𝒆𝒓 – 𝑷𝒊𝒏𝒆𝒄𝒐𝒏𝒆 𝑺𝒚𝒔𝒕𝒆𝒎𝒔, 𝑰𝒏𝒄. | 𝑭𝒊𝒏𝒂𝒍𝒊𝒔𝒕𝒔 – 𝑮𝒍𝒆𝒂𝒏 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔, 𝑰𝒏𝒄, 𝑷𝒆𝒓𝒑𝒍𝒆𝒙𝒊𝒕𝒚 𝑨𝑰 𝑰𝒏𝒄 𝐆𝐞𝐧𝐀𝐈 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐘𝐞𝐚𝐫: Recognizes top partners with the Generative AI Competency that develop foundation models available through APIs, model-as-a- service hubs, or marketplaces for diverse applications. 𝑮𝒍𝒐𝒃𝒂𝒍: 𝑾𝒊𝒏𝒏𝒆𝒓 – 𝑨𝒏𝒕𝒉𝒓𝒐𝒑𝒊𝒄 | 𝑭𝒊𝒏𝒂𝒍𝒊𝒔𝒕𝒔 – 𝑪𝒐𝒉𝒆𝒓𝒆, 𝑺𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝑨𝑰 𝐆𝐞𝐧𝐀𝐈 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐘𝐞𝐚𝐫: Recognizes top Industry Solutions partners with the Generative AI Competency that excel in creating and launching transformative applications across diverse industries. 𝑮𝒍𝒐𝒃𝒂𝒍: 𝑾𝒊𝒏𝒏𝒆𝒓 – 𝑪𝒂𝒚𝒍𝒆𝒏𝒕 | 𝑭𝒊𝒏𝒂𝒍𝒊𝒔𝒕𝒔 – 𝑺𝒍𝒂𝒍𝒐𝒎, 𝑫𝒆𝒍𝒐𝒊𝒕𝒕𝒆 https://lnkd.in/gNDCxqxH Amazon Web Services (AWS) #reinvent #aws Weights & Biases Pinecone Perplexity Cohere Stability AI AWS Partners Greg Headley Dylan Cotter Roberto Quintana Tyler Hepper Seann Gardiner Scott Juang Lauren Nemeth Adel Farahmand Vinod Devan Brian T. Flynn Emily Jorgens Ken Hoge Shan Shan Wong

Unlock the Power of Auditing Generative AI Workloads on AWS! As the adoption of generative AI continues to soar, it's crucial to ensure transparency, accountability, and compliance within these advanced workloads. AWS has introduced a powerful solution to address this need – auditing generative AI workloads with AWS CloudTrail. In their latest blog post, AWS explores how CloudTrail can help you gain visibility into your generative AI activities, enabling you to monitor, audit, and maintain comprehensive logs of all interactions and outputs. This invaluable capability empowers you to build trust, mitigate risks, and comply with regulatory requirements. Discover how CloudTrail's auditing features can benefit your generative AI initiatives: 📌 Gain insights into AI model usage, input prompts, and generated outputs. 📌 Capture detailed logs for auditing and compliance purposes. 📌 Leverage CloudTrail's integration with other AWS services for advanced analytics and automation. 📌 Ensure transparency and accountability in your AI deployments. Don't miss this informative blog post from AWS, which provides a comprehensive guide to auditing generative AI workloads with CloudTrail. Stay ahead of the curve and embrace the power of auditing in your AI journey. Read the full blog post here: https://lnkd.in/g2qAua7w #AWSCloudTrail #GenerativeAI #Auditing #Compliance #AIGovernance

Key considerations when choosing a database for your generative AI applications - Familiarity - Ease of implementation - Scalability - Performance Read more about it in this AWS blog https://lnkd.in/dBTsEMKz #aws #amazon #generativeai #vectordb #databases

This post explores using AI to generate SQL queries from natural language questions to query data in Athena. The solution runs queries on Athena and displays results on a web portal for easy understanding. #aws #awscloud #cloud #advanced300 #amazonbedrock #artificialintelligence #generativeai #technicalhowto

📰🚨AWS Weekly Roundup: 197 new launches, AI training partnership with Anthropic, and join AWS re:Invent virtually (Nov 25, 2024) by Channy Yun (윤석찬) 🌟 AWS just launched 197 new features, including Amazon Aurora's cost-saving scaling to 0 ACUs! Plus, a strategic partnership with Anthropic for AI training. Don't miss the virtual AWS re:Invent for more exciting updates! #AWS #AI #Innovation 🚀 #AWSNews #AWS

What Is AWS’s Plan for Sustainable, Sovereign Cloud and Flexible AI? by via ISG RSS feed ([Global] GDPR) URL: https://ift.tt/SnQZszT <p>Though AWS started behind competitors such as Microsoft and Google when it comes to artificial intelligence (AI), the AWS Summit London appeared to be an attempt to catch up. The focus of the event was on innovation, sustainability, sovereignty, price-to-value ratio and the development of generative AI (GenAI) applications. </p><p>This article provides an overview of the key topics and announcements from the event, examines AWS' strategic approach and assesses the company’s impact on the market and customers.</p><h2>AWS Focuses on AI and Innovation</h2><p>The dominant theme of the AWS Summit London was undoubtedly AI. AWS has raised expectations about its efforts to support customers with AI tools, and it used the opportunity to address those expectations.</p><p><strong>Amazon Bedrock</strong> is a fully managed service that allows companies to create, test and deploy GenAI in a safe environment. The service is now also available in London, Frankfurt and Paris in Europe, as well as in Tokyo and several regions in the U.S. </p><p>Alternatives are available from GitHub, CoPilot from Microsoft, Vertex AI by Google Cloud, IBM Watson and others. </p><p>With Bedrock, users can deploy powerful foundation models (FMs) such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon.<a data-sf-ec-immutable="" name="_msoanchor_2" id="_anchor_2"></a> Note that Amazon invested $4 billion to become Anthropic’s primary cloud provider for mission-critical workloads.</p><p>AWS offers a wide selection of models, including Claude, Llama, Jurassic and Amazon Titan to give customers choices via APIs. The added value for customers lies in the easy integration and management of these models, allowing companies to develop and scale AI-driven applications. Bedrock offers flexibility in choosing the underlying models and supports various AI frameworks, making it an option for companies that need customized AI solutions and do not want to rely on a single provider.</p><p>At the event, AWS presented <strong>Amazon-Titan Foundation Models</strong> that offer a wide range of image, multimodal and text options. These models are pre-trained and can be used as-is or customized with user-specific data. </p><p>When it comes to foundation models, AWS is catching up with competitors with the company’s signature commitment, reach and size. Building and maintaining a foundation model requires a great deal of energy and is feasible only for the few large, globally operating data center operators, including AWS. But two questions remain: how many foundation models does the market need? And how many can we afford considering their energy consumption? </p><p>Another new offering presented at the event was <strong>Amazon Q</strong>, a front-end solution designe...

#AI without #Data can be artificial but not intelligent.. please read this Amazon Web Services (AWS) article about the quality of data and how to achieve it. At Teradata we can also help you to get faster and better results with #clearscape analytics and AWS native services. #IA #GenAI #aispecialist #CIO #CIO100 #CIOclub #cloud #Latam #ML #Teradata #AWS #sagemaker #bedrock

Have a read of this Blog on how to combine the best of AWS and Snowflake in building an AI Solution. https://lnkd.in/gRCCkQfw #AWS #Snowflake Benny Chun 🤓 Daniel Wirjo Gonzalo Ron Mathew Zele Venkat Suru

Databricks partners with Amazon Web Services (AWS) to enhance custom AI model development using Mosaic AI and AWS Trainium for scalable solutions. read more: https://lnkd.in/dkad5ZwQ Ali Ghodsi | Matt Garman | Stuart Wright #generativeai #mosaicai #aiapplications #cloudcomputing #dataanalytics #datasecurity #machinelearning #modeloptimization #adtechtoday