Flipboard

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. Security and governance Generative AI is very new technology and brings with it new challenges related to security and compliance.

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IBM Journey to AI blog

JULY 16, 2024

In the era of generative AI, the promise of the technology grows daily as organizations unlock its new possibilities. However, the true measure of AI’s advancement goes beyond its technical capabilities. To do that, organizations need to develop an AI strategy that enables them to harness AI responsibly.

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AWS Machine Learning Blog

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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Unite.AI

MAY 13, 2024

The age of Generative AI (GenAI) is transforming how we work and create. From marketing copy to generating product designs, these powerful tools hold great potential. Let’s look at the growing risk of information leakage in GenAI solutions and the necessary preventions for a safe and responsible AI implementation.

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IBM Journey to AI blog

JULY 30, 2024

It provides practical insights accessible to all levels of technical expertise, while also outlining the roles of key stakeholders throughout the AI adoption process. Establish generative AI goals for your business Establishing clear objectives is crucial for the success of your gen AI initiative.

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Unite.AI

JANUARY 2, 2025

However, poor data sourcing and ill-trained AI tools could have the opposite effect, leaving providers to instead spend an inordinate amount of time fixing errors and re-writing notes. Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities.

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Unite.AI

FEBRUARY 5, 2025

Understanding AIs Rapid Growth and Unrealized Potential Over the past decade, AI has achieved remarkable technological milestones. For example, OpenAIs GPT models have demonstrated the transformative power of generative AI in areas like content creation, customer service, and education.

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AWS Machine Learning Blog

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. As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines.

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AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. This rating is later used for revising the questions. This process presented several significant challenges.

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Unite.AI

FEBRUARY 17, 2025

AI agents represent the next wave in enterprise AI. They build upon the foundations of predictive and generative AI but take a significant leap forward in terms of autonomy and adaptability. Security and Privacy: Handling sensitive data in AI models poses privacy risks and potential security vulnerabilities.

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IBM Journey to AI blog

JUNE 17, 2024

The rise of generative AI is a make-or-break moment for CEOs. To turn these opportunities into reality, IBM’s recent AI Academy episode identifies five key pillars that must be in place. Strategy : Define a clear generative AI strategy, identifying priority use cases that tie to tangible business value and ROI.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Unite.AI

JANUARY 1, 2024

Today, Generative AI is wielding transformative power across various aspects of society. As per eMarketer , Generative AI shows early adoption with a projected 100 million or more users in the USA alone within its first four years. Let’s discuss its positive social impact: 1. just a simple click away.

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Unite.AI

JULY 12, 2024

Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters.

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Unite.AI

NOVEMBER 21, 2023

In an era marked by rapid technological evolution, the landscape of artificial intelligence is undergoing a monumental shift, spearheaded by the advent and integration of generative AI. Firstly, the evolution of generative AI technologies has made them more accessible and easier to implement.

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Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

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AWS Machine Learning Blog

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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Unite.AI

OCTOBER 4, 2023

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial. What is AI Bias?

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Take a look at how the BBC is looking to utilise generative AI and ensure it puts its values first.

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AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

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AWS Machine Learning Blog

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 Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. By thoughtfully designing prompts, practitioners can unlock the full potential of generative AI systems and apply them to a wide range of real-world scenarios.

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Marktechpost

JANUARY 18, 2025

The rapid advancement and widespread adoption of generative AI systems across various domains have increased the critical importance of AI red teaming for evaluating technology safety and security. Current approaches to AI security have revealed significant limitations in addressing both traditional and emerging vulnerabilities.

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Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. These innovations signal a shifting priority towards multimodal, versatile generative models.

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Unite.AI

JANUARY 1, 2025

For example, AI-driven underwriting tools help banks assess risk in merchant services by analyzing transaction histories and identifying potential red flags, enhancing efficiency and security in the approval process. While AI has made significant strides in fraud prevention, its not without its complexities.

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AWS Machine Learning Blog

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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IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Does it have the ability to replicate data to another Region for disaster recovery purposes?

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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce.

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Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning Blog

NOVEMBER 2, 2023

Recently, teachers and institutions have looked for different ways to incorporate artificial intelligence (AI) into their curriculums, whether it be teaching about machine learning (ML) or incorporating it into creating lesson plans, grading, or other educational applications. You can find the implementation details in the following sections.

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Marktechpost

NOVEMBER 15, 2023

Microsoft has unveiled a significant expansion of its Azure AI Model Catalog , incorporating a range of foundation and generative AI models. Models as a Service (MaaS) In a strategic move, Microsoft has also introduced the concept of Models as a Service (MaaS).

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Towards AI

SEPTEMBER 4, 2023

Last Updated on September 5, 2023 by Editorial Team Author(s): Emil Novakov Originally published on Towards AI. While this historical context may seem distant, the lessons drawn from Oppenheimer’s approach to problem-solving and innovation are relevant for enterprises navigating this new era of Generative AI.

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Marktechpost

SEPTEMBER 30, 2023

In the rapidly evolving landscape of generative AI, concerns surrounding intellectual property rights have emerged as a critical issue. Companies like Getty Images, one of the leading suppliers of stock content, have recognized the need for a responsible approach. The heart of the matter lies in the tool’s training data.

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