Shaun Sutner’s Post

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

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

Curious about building #GenAI cost-effectively using #opensource models? Look no further than the Hugging Face - Amazon Web Services (AWS) US roadshow, where Julien SIMON has the answer for you. Join us to learn more! #AI #opensourcemodels #AWS

"Amazon Web Services (AWS) helps take the guesswork out of adopting generative AI for your business." Thanks for covering our launch, ZDNET! #amazon #aws #generatieveai #aiml #awspartners

Amazon Web Services (AWS) launches the Custom Model Import feature in their Bedrock suite, changing how companies deploy #AI. Why it’s a game-changer: ➡ Seamless Integration: Import your proprietary AI models effortlessly. ➡ Robust Infrastructure: Benefit from the same powerful infrastructure used by leading AI models like Meta's Llama 3 and Anthropic’s Claude 3. ➡ Continuous Enhancement: Tools to expand knowledge, fine-tune performance, and implement bias safeguards.

🚀 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐲 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬 I am happy to inform you that Amazon Web Services (AWS) recently launched a 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐜𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐲 specifically for our partners.   A recent Canalys study found that 87% of customers rank partner specializations as a top three selection criteria. By validating the partner’s business and technical expertise in this way, AWS customers are able to invest with greater confidence in generative AI solutions from these partners. This new competency is a critical entry point into the generative AI partner opportunity, which Canalys estimates will grow to US $158 billion by 2028.   𝐂𝐮𝐫𝐢𝐨𝐮𝐬? Pls reach out to me and click here ➡️ https://lnkd.in/dB8zQDPh #AWS #GenerativeAI #AI #Partnership #BusinessTransformation #Innovation #TechNews #AICompetency #DigitalTransformation #CloudComputing #PartnerSpecialization Nancy Nemes Neil Brownlie Niclas Otte Manfred Maierhofer Nina Michor (Koll) Christian Koehler Filippo Zanini Martin Zapke Stephane Broquere

Amazon Q is here! And so is some timely advice from Ruba Borno in CRN for #awspartners new to Q and looking for guidance. Step 1: Get familiar with it. Step 2: Start playing with it. Step 3: Invest the time in getting the AWS Generative AI Competency. "In order to get the competency, [AWS parnters] have to have demonstrated business impact. So they went through those phases of learning, experimentation, actually deploying it and having customer impact in order to get the competency. That’s why customers are asking for this." #aws #amazon #generativeai #genai #amazonq https://lnkd.in/eR-HmHZx

Amazon Web Services (AWS) is stepping up its game in the generative AI space with the launch of Custom Model Import. This new feature, currently in preview, is part of AWS' enterprise-focused suite, Bedrock, and it's a game-changer for companies looking to host and fine-tune their custom generative AI models. With Custom Model Import, organizations can now import their proprietary AI models into Bedrock, where they can access them as fully managed APIs. This means that companies can benefit from the robust infrastructure of AWS while maintaining the uniqueness of their own models. It's a significant move by AWS to address the infrastructure challenges faced by enterprises in deploying generative AI models. #AWS #GenerativeAI #CloudComputing #Innovation

Building a successful generative AI strategy is key for businesses to boost productivity and enhance customer experiences. To address this growing demand, Amazon Web Services (AWS) came up with the Generative AI Competency program. This program acts as a vetting process that identifies and endorses partners with proven expertise in generative AI solutions built on AWS. The criteria for inclusion in the program are strict to ensure their offerings meet strict AWS standards. At launch, there are already over 40 partners onboard, offering a wide range of tools and services across various sectors, from security to applications. When #EnterpriseBuildsOnAWS businesses can stay ahead of the competition by making significant improvements in efficiency, creativity, and overall business growth. #aws #awscloud #amazonwebservices

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