💡 Competency is Key: Shaping Up for the AI Future with AWS 💡 We’re honored to be featured in ARN - Channel News article, which highlights the achievements of AWS Partners in driving innovation with GenAI. Thank you to Ruba Borno for acknowledging our global impact and focus on Amazon Connect. “With their solution, they’re able to take Contact Center as a service, which those migrations typically take months and months for customers to achieve, and actually reduce them down to several weeks… That speed to that transformation is really key. Local Measure is just such an incredible partner that has helped customers across the globe. So even though they are headquartered in Australia, their impact is global on our customers, and they have focused on the Connect specialisation,” Our achievement of the AWS GenAI Competency is a testament to the incredible support from AWS and the dedication of our team. We have also been recognized as the AWS Marketplace Partner of the Year-APJ for the second consecutive year. Local Measure is focused on transforming customer service by reducing contact center migration timelines from months to weeks, helping businesses deliver exceptional customer experiences faster. It’s inspiring to see how collective innovation and collaboration are shaping the future of AI across industries. Thank you Amazon Web Services (AWS) for your continued partnership. Together, we’re making significant strides toward delivering intuitive, secure, and scalable customer experiences worldwide. 📖 Read the article written by Cathy O'Sullivan https://lnkd.in/gDNUQpE6 #AWS #AWSPartners #FutureOfCX #GenerativeAI #CustomerExperience #ContactCenter #AmazonConnect
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AWS uses a “working backwards” approach. This process of discovery and invention involves five stages—listen, define, invent, refine, and test and iterate. AWS uses this approach in there GenAI center of excellence to give partners the resources and tools needed to support there business. #aws #genai #awsbedrock
New Generative AI Insights for AWS Partners to Accelerate Your Customer Offerings | Amazon Web Services
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Channel Program Manager leading the Amazon Web Services (AWS) Training Partner Program. How can I help you?
For all my AWS Partner connections here, wanted to highlight the new just announced AWS GenAI Competency for AWS Partners with a full range of services, tools, and infrastructure, to build and offer comprehensive GenAI solutions for your customers. The new competency makes it easier for AWS customers to find and identify the right partners to support their unique needs. #ai #genai
Revolutionize Your Business with AWS Generative AI Competency Partners | Amazon Web Services
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AWS Partner Sales Manager | Elevating Enterprises Through Innovation, One Byte at a Time
🚨 ICYMI Revolutionize your business with Amazon Web Services (AWS) #GenerativeAI Competency. These strategic partners enable businesses to unlock endless possibilities to boost productivity, automate processes, and deliver hyper-personalized customer experiences. 🚀 ☁ The future of innovation is here. https://go.aws/3V5R4wn #BusinessInnovation #AItransformation #Bedrock #SageMaker
Revolutionize Your Business with AWS Generative AI Competency Partners | Amazon Web Services
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Shelly DeMotte Kramer, thanks for sharing your perspective on Amazon Web Services (AWS) and Deloitte announcement, “Deloitte Launches an AI and Data Accelerator Program With AWS, Aimed at Scaling the Next Generation of Artificial Intelligence Capabilities.” Read the blog by Shelly here : https://lnkd.in/diwEZcry AWS Partners
Deloitte AWS Collab to Accelerate, Scale Enterprise AI Adoption
https://thecuberesearch.com
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How is your team using generative AI tools like Amazon Bedrock to build, scale, and deploy intelligent applications? In this Amazon Web Services (AWS) blog, Chief Services Officer Jaret Chiles shared how DoiT helped a customer transition their LLM to more efficiently capture the full value of their multi-language data and accelerate their time to market. #GenAI #AWS
How AWS Partners are Driving Innovation and Efficiency with Amazon Bedrock and Amazon Q | Amazon Web Services
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During the weekend, TechCrunch published an interview with Amazon Web Services CEO Matt Garman. He was candid about his company's and competitors' approach to implementing AI-related solutions via cloud platforms. Here are some key takeaways: 📌 Competitors such as Google Cloud and Microsoft Azure quickly introduced generative AI products, while AWS took a more measured approach. Garman noted that instead of rushing out chatbot applications, AWS focused on building a robust platform that offers a choice of high-performing foundation models (Bedrock) to allow customers to integrate generative AI into their applications using their own data and customized models. 📌 AWS's Bedrock offers access to various open and proprietary models, enabling users to chain different models together to meet specific needs. Garman explained that this flexibility allows customers to build on the platform in ways that suit their business, which he views as essential for the future of generative AI. 📌 Garman highlighted the high cost of generative AI as a challenge, especially for businesses integrating AI into their applications. AWS is addressing this through its custom Trainium chips, designed to reduce the cost of AI inference, making generative AI more affordable and scalable for its customers. 📌 AWS sees opportunities for AI-powered agents, which could automate tasks by calling other APIs and performing actions on behalf of users. Garman is optimistic about the potential of these agents to extend the utility of generative AI, allowing it to automate complex processes beyond just generating text or images. 📌 AWS CEO emphasized that AWS customers, especially enterprises, want the ability to customize AI models with their own data. He believes this approach, which contrasts with off-the-shelf chatbots offered by competitors, will drive the adoption of AWS's generative AI offerings. This customization enables more control and relevance for specific business applications. #AWSAI #AWSBedrock #AICloud #AWS #Amazon
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Thanks for joining the #TargetingAI podcast, Rohan!
Experienced cloud leader committed to strong AWS partnerships and innovative joint solutions | Director, APO Solutions Architecture
I'm thrilled to share my recent interview with TechTarget, where I discuss the cutting-edge, multimodel approach to Generative AI (GenAI) Amazon Web Services (AWS) is taking—and the potential it holds for our partners and customers. I spoke with host Shaun Sutner about how we seek to empower developers, data scientists, and businesses across industries to harness the full potential of GenAI by providing them with robust cloud infrastructure and a diverse set of tools. This includes flexibility to choose a model that best suits their needs. But it's not just about the tech. AWS recognizes the importance of fostering collaboration and knowledge-sharing within our Amazon Partner Network (APN). By working closely with our partners, we help leverage their industry-specific knowledge to develop innovative GenAI solutions that address real-world customer challenges. I'm truly excited about the possibilities that lie ahead. Whether enhancing customer experiences, streamlining business processes, or unlocking new frontiers of scientific discovery, the potential applications are vast and promising. #GenAI #APN #AWS #CloudInnovation #CustomerSuccess #PartnerCollaboration #AITransformation #AWSCloud https://lnkd.in/gerZfYU2
AWS GenAI strategy based on multimodel ecosystem plus Q | TechTarget
techtarget.com
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Generative AI and multimodel AI are poised to unleash a wave of innovation across industries! Rohan Karmarkar's insights on AWS's cutting-edge approach highlight the immense potential for novel solutions. From automotive and manufacturing to telecommunications, healthcare, retail, and beyond, GenAI can revolutionize customer experiences, streamline processes, and open doors to groundbreaking scientific discoveries. The collaborative ecosystem fostered by AWS and its partners is key to leveraging industry expertise and delivering tailored solutions that drive real-world impact. I'm excited to see how this powerful combination of advanced AI capabilities and deep domain knowledge will shape the future across sectors. Stay tuned for more remarkable breakthroughs! #GenAI #APN #IndustryTransformation
Experienced cloud leader committed to strong AWS partnerships and innovative joint solutions | Director, APO Solutions Architecture
I'm thrilled to share my recent interview with TechTarget, where I discuss the cutting-edge, multimodel approach to Generative AI (GenAI) Amazon Web Services (AWS) is taking—and the potential it holds for our partners and customers. I spoke with host Shaun Sutner about how we seek to empower developers, data scientists, and businesses across industries to harness the full potential of GenAI by providing them with robust cloud infrastructure and a diverse set of tools. This includes flexibility to choose a model that best suits their needs. But it's not just about the tech. AWS recognizes the importance of fostering collaboration and knowledge-sharing within our Amazon Partner Network (APN). By working closely with our partners, we help leverage their industry-specific knowledge to develop innovative GenAI solutions that address real-world customer challenges. I'm truly excited about the possibilities that lie ahead. Whether enhancing customer experiences, streamlining business processes, or unlocking new frontiers of scientific discovery, the potential applications are vast and promising. #GenAI #APN #AWS #CloudInnovation #CustomerSuccess #PartnerCollaboration #AITransformation #AWSCloud https://lnkd.in/gerZfYU2
AWS GenAI strategy based on multimodel ecosystem plus Q | TechTarget
techtarget.com
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Building enterprise-scale multi-tenant GenAI environments! A new blog post that will help you navigating challenges on building scalable GenerativeAI solutions. Great job Bruno Pistone and team. #AWS #Bedrock #GenerativeAI #EnterpriseAI
🚀 Excited to share our latest AWS Machine Learning Blog post on building enterprise-scale multi-tenant generative AI environments! As organizations race to adopt generative AI, they often face challenges with siloed teams and fragmented workflows. Our comprehensive guide shows how to build a scalable foundation that helps enterprises: 🔹 Accelerate innovation through centralized GenAI components 🔹 Implement robust governance and responsible AI practices 🔹 Enable secure model access across different lines of business 🔹 Track usage and costs per tenant effectively Key highlights from our architecture: 1. Unified access to foundation models through Amazon Bedrock, and Amazon SageMaker 2. Centralized prompt management and reusable GenAI components 3. Built-in guardrails and model evaluation capabilities 4. Comprehensive observability and cost tracking 5. Flexible tenant isolation patterns for different use cases Whether you're just starting your GenAI journey or looking to scale existing implementations, this guide provides practical insights on building a secure, governed, and scalable environment. Check out the full blog post here: https://lnkd.in/dmP3GWKd Anastasia Tzeveleka Vikesh Pandey Hasan Poonawala Antonio Rodriguez #AWS #MachineLearning #GenerativeAI #CloudArchitecture #EnterpriseAI #Bedrock #SageMaker
Build a multi-tenant generative AI environment for your enterprise on AWS | Amazon Web Services
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Data & AI Leader helping customers achieve business outcomes by using the Databricks Lakehouse Platform to unify their data, analytics and AI.
Databricks teamed up with AWS to power customized, production-quality #GenAI applications through AWS Trainium AI chips! The collaboration builds on Databricks’ newly expanded #MosaicAI capabilities — including Mosaic AI Model Serving, which supports a wide variety of model providers. Databricks + Amazon Web Services (AWS) will make it possible for thousands of joint customers to build, deploy and monitor high-quality, customized #AI applications without sacrificing control over their data or IP.
Databricks Strengthens Partnership with AWS to Deliver Advanced Generative AI Capabilities
databricks.com
