CIO

SEPTEMBER 9, 2024

Tencent Cloud’s expansion in Asia Pacific (APAC) reflects its strategic efforts to capitalize on the growing demand for Artificial Intelligence (AI) and cloud computing services. Despite these opportunities, Tencent Cloud faces challenges from competitors, requiring a careful balancing act between innovation and market adaptability.

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AWS Machine Learning - AI

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.

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AWS Machine Learning - AI

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.

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CIO

NOVEMBER 26, 2024

McKinsey estimates that AI—and generative AI in particular— could contribute up to $340 billion annually to the global banking sector, accounting for approximately 4.7% Early applications of AI in FP&A have already demonstrated a powerful impact. of total industry revenues.

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CIO

DECEMBER 6, 2023

This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader. Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses.

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AWS Machine Learning - AI

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning - AI

JULY 10, 2024

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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CIO

NOVEMBER 22, 2024

The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. Secondly, how do you give them tools to do different work and innovate?”

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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AWS Machine Learning - AI

OCTOBER 29, 2024

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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AWS Machine Learning - AI

NOVEMBER 6, 2024

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. The imperative for regulatory oversight of large language models (or generative AI) in healthcare.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Many commercial generative AI solutions available are expensive and require user-based licenses.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Generative AI technology, such as conversational AI assistants, can potentially solve this problem by allowing members to ask questions in their own words and receive accurate, personalized responses.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications.

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CIO

OCTOBER 31, 2024

CIOs failing to gain organizational traction with generative AI might want to rethink how they are introducing the technology — and how they are honing their AI strategies to suit. Guidelines, however, are important especially with this tier of AI offerings because some may repurpose the company data that’s entered.

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Capgemini

NOVEMBER 22, 2024

It’s more than just another cloud service – it’s AWS’ answer to the enterprise need for flexible, scalable AI solutions. Industry-specific expertise, combined with tailored AI solutions This is where our team of more than 50,000 AWS-trained consultants comes in. Take Amazon Bedrock , for instance.

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CIO

OCTOBER 24, 2024

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.

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AWS Machine Learning - AI

JUNE 18, 2024

By reducing the time and ongoing expenses associated with manual workflows, organizations can enhance productivity, responsiveness, and innovation through data analytics. This post explores how generative AI can make working with business documents and email attachments more straightforward.

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AWS Machine Learning - AI

DECEMBER 2, 2024

This solution empowers analysts to rapidly retrieve answers to customer queries, generating prompt responses within the same communication thread. In this post, we share how Amazon Finance Automation built this generative AI Q&A chat assistant using Amazon Bedrock. In his spare time, he enjoys listening to music and read.

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Cloudera

SEPTEMBER 18, 2024

For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX). As part of this evaluation process with InDaiX, Cloudera is conducting workshops with end users to better understand the practical use cases that enterprises are hoping to use AI for.

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AWS Machine Learning - AI

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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AWS Machine Learning - AI

JULY 15, 2024

S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves. Safety and correctness : The captions were generated responsibly, leveraging the guard-rails to ensure content moderation and relevancy. AWS enables us to scale the innovations our customers love most.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. AI delivers a major leap forward.

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AWS Machine Learning - AI

AUGUST 22, 2024

At the forefront of harnessing cutting-edge technologies in the insurance sector such as generative artificial intelligence (AI), Verisk is committed to enhancing its clients’ operational efficiencies, productivity, and profitability. Discovery Navigator recently released automated generative AI record summarization capabilities.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Use the “Generative AI” tag as you are browsing the session catalog to find them.

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AWS Machine Learning - AI

OCTOBER 25, 2024

This approach is both architecturally and organizationally scalable, enabling Planview to rapidly develop and deploy new AI skills to meet the evolving needs of their customers. This post focuses primarily on the first challenge: routing tasks and managing multiple agents in a generative AI architecture.

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AWS Machine Learning - AI

SEPTEMBER 26, 2024

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. With these capabilities, customers are adopting SageMaker HyperPod as their innovation platform for more resilient and performant model training, enabling them to build state-of-the-art models faster.

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CIO

DECEMBER 21, 2023

We have seen a lot of companies promising AI solutions for Cybersecurity in the Cloud, but let’s be clear: when it comes to AI in Cybersecurity, it is important to understand that not all AIs are created equal. Finally, in cybersecurity, AI must analyze and act on data in real-time, matching the pace of user activity.

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Cloudera

OCTOBER 31, 2023

Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI. In this post, we share our vision and the integrations that are available to our customers on Cloudera Data Platform with generative AI on AWS.

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Crunchbase News

FEBRUARY 20, 2024

The San Jose, California-based firm, which is developing its AI inference chip for both the generative AI and automotive industries, raised a $102 million Series C co-led by Celesta Capital and GreatPoint Ventures. Debt was provided by HSBC Innovation Banking.

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CIO

NOVEMBER 1, 2024

I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. It’s very fragmented, ownership is often unclear, quality is a variable, but we have teams really working on that and generating data faster than we can possibly catalog and clean up.” The biggest challenge is data.

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