IBM Journey to AI blog

OCTOBER 9, 2024

We are now at a crucial stage in our evolution with enterprise generative AI. While consumer generative AI has captured the imagination of millions, executives are developing the practices that can deliver an effective and responsible strategy for enterprise generative AI.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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IBM Journey to AI blog

JANUARY 15, 2024

As the demand for generative AI is expected to grow this year, it becomes imperative for the public sector to embrace responsible use of this technology. Generative AI is emerging as a valuable solution for automating and improving routine administrative and repetitive tasks.

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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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IBM Journey to AI blog

SEPTEMBER 20, 2023

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. We provide open and targeted value creating AI solutions for businesses and public sector institutions.

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Unite.AI

SEPTEMBER 2, 2024

Today, generative AI is taking on a similar transformative role, changing how users interact with services, offering personalized experiences, improving accessibility and streamlining the workplaces. Recognizing its potential, the public sector is increasingly investing in generative AI, with productivity gains estimated to reach $1.75

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AWS Machine Learning Blog

NOVEMBER 29, 2023

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity.

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John Snow Labs

SEPTEMBER 24, 2024

This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them. We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests.

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Unite.AI

SEPTEMBER 7, 2023

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Caveats and need for Responsible AI Now what if we have a tool that invokes transactions on stock trading using a pre-authorized API. Sounds exciting!?

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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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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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AWS Machine Learning Blog

DECEMBER 18, 2023

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. It establishes a framework for organizations to systematically address and control the risks related to the development and deployment of AI.

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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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Marktechpost

DECEMBER 5, 2023

The framework advocates for the proactive adoption and expansion of these principles in healthcare to address ethical dilemmas that may arise from the integration of generative AI. It explores the transformative potential of generative AI in healthcare, acknowledging ethical concerns like transparency and bias.

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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

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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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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ODSC - Open Data Science

AUGUST 7, 2023

Can just summarize some examples of responsible AI initiatives in the APAC region. The APAC region is in full swing and looking at ways to use AI in a responsible manner. So let’s take a look at a few examples of how some nations in the APAC region are looking to answer the call for responsible AI.

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IBM Journey to AI blog

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. trillion on retail businesses through 2029. trillion in that year.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

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Google Research AI blog

APRIL 19, 2023

This transformative potential requires us to be responsible not only in how we advance our technology, but also in how we envision which technologies to build, and how we assess the social impact AI and ML-enabled technologies have on the world.

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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

JANUARY 25, 2024

.” However, sometimes AI requires clear guardrails before one can agree with “good.” Generative AI is opening doors and creating new opportunities and risks for organizations globally, with human resources (HR) leadership playing a key role in managing these challenges.

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Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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AWS Machine Learning Blog

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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ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. The reason for this is pretty easy to understand.

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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

SEPTEMBER 24, 2024

Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. A special report published by Thompson Reuters reported that generative AI awareness is significantly higher among legal professionals, with 91% of respondents saying they have heard of or read about these tools.

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IBM Journey to AI blog

JUNE 23, 2023

As you encounter new generative AI solutions and unique AI foundation models for F&A, you may find yourself overwhelmed by all the options. What is generative AI, what are foundation models, and why do they matter? Figure 3 highlights ancillary benefits that conversational AI technology provides.

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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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Towards AI

OCTOBER 5, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. This member-only story is on us. Upgrade to access all of Medium.

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Pickl AI

NOVEMBER 18, 2024

Introduction The Generative AI that captures the imagination of developers, artists, and business leaders alike is an unprecedented ability in the development world: creating realistic text, images, music, and even videos with Machine Learning. At this point, you know you are creating it to build any Generative AI application.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Another best practice is to use generative AI to accelerate the development and maintenance of this code. Amazon Bedrock features help you develop your responsible AI practices in a scalable manner.

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ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy. There has long been a gap between how AI models should be tested and how they often are.

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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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