IBM Journey to AI blog

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

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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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IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

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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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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. Enhancing user trust via explainable AI also remains vital.

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Unite.AI

DECEMBER 27, 2024

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. Data-centric AI flips the traditional script. Instead of obsessing over squeezing incremental gains out of model architectures, its about making the data do the heavy lifting.

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NVIDIA

MAY 1, 2024

In this episode of the NVIDIA AI Podcast , recorded live at GTC 2024, host Noah Kravitz sits down with Adam Wenchel, cofounder and CEO of Arthur, to discuss the challenges and opportunities of deploying generative AI. The AI Podcast · Explainable AI: Insights from Arthur AI’s Adam Wenchel – Ep.

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Unite.AI

JANUARY 23, 2025

Consequently, the foundational design of AI systems often fails to include the diversity of global cultures and languages, leaving vast regions underrepresented. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. A 2023 McKinsey report estimated that generative AI could contribute between $2.6

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IBM Journey to AI blog

JANUARY 25, 2024

How might this insight affect evaluation of AI models? Model (in)accuracy To quote a common aphorism, all models are wrong. This holds true in the areas of statistics, science and AI. Models created with a lack of domain expertise can lead to erroneous outputs. How are you making your model explainable?

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Marktechpost

JUNE 8, 2024

Despite performing remarkably well on various tasks, these models are often unable to provide a clear understanding of how specific visual changes affect ML decisions. The panel’s insights are then used to generate hypotheses for further research, considering both biological and socio-cultural determinants of health.

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Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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Towards AI

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

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IBM Journey to AI blog

FEBRUARY 8, 2024

For industries providing essential services to clients such as insurance, banking and retail, the law requires the use of a fundamental rights impact assessment that details how the use of AI will affect the rights of customers. Higher risk tiers have more transparency requirements including model evaluation, documentation and reporting.

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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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Towards AI

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

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IBM Journey to AI blog

AUGUST 12, 2024

In an era where financial institutions are under increasing scrutiny to comply with Anti-Money Laundering (AML) and Bank Secrecy Act (BSA) regulations, leveraging advanced technologies like generative AI presents a significant opportunity.

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IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

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IBM Journey to AI blog

MARCH 4, 2024

AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development.

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ODSC - Open Data Science

NOVEMBER 20, 2024

The discussion covered diverse and valuable insights on the application of generative AI in business, emphasizing the importance of critical thinking to harness its full potential. Yves Mulkers pointed out that, despite AI’s advancements, critical thinking and creativity remain at the forefront of AI implementation.

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Unite.AI

DECEMBER 13, 2023

The introduction of generative AI tools marks a shift in disaster recovery processes. The need for explainability in AI algorithms becomes important in meeting compliance requirements. Organizations must showcase how AI-driven decisions are made, making explainable AI models important.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. IBM watsonx consists of the following: IBM watsonx.ai

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LevelAI

DECEMBER 5, 2023

In the realm of artificial intelligence, generative AI has emerged as a transformative force, capable of generating human-quality text, translating languages, and understanding the nuances of human language. Level AI stands out as a pioneer in this domain, setting new standards for enterprise-ready generative AI.

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IBM Journey to AI blog

AUGUST 11, 2023

Automate the ML lifecycle—Once the models are built, trained and tested, teams set up the automation within ML pipelines that create repeatable flows for an even more efficient process. How generative AI is evolving MLOps The release of OpenAI’s ChatGPT sparked interests in AI capabilities across industries and disciplines.

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LevelAI

DECEMBER 5, 2023

In the realm of artificial intelligence, generative AI has emerged as a transformative force, capable of generating human-quality text, translating languages, and understanding the nuances of human language. Level AI stands out as a pioneer in this domain, setting new standards for enterprise-ready generative AI.

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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Viso.ai

JULY 9, 2024

Generative AI, the infamous category of artificial intelligence models that can craft new content like images, text, or code has taken the world by storm in recent years. Understanding Generative AI Generative AI refers to the class of AI models capable of generating new content depending on an input.

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Towards AI

NOVEMBER 15, 2024

With policymakers and civil society demanding reliable identification of AI content, SynthID represents an important development in addressing issues around AI-driven misinformation and authenticity. Community workshop on explainable AI (XAI) in education.

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Towards AI

APRIL 2, 2024

This is only clearer with this week’s news of Microsoft and OpenAI planning a >$100bn 5 GW AI data center for 2028. This would be its 5th generation AI training cluster. X’s Grok Chatbot Will Soon Get an Upgraded Model, Grok-1.5 has announced an upgraded version of its AI model, Grok-1.5.

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Unite.AI

JUNE 24, 2024

What are the biggest challenges in moving, processing, and analyzing unstructured data for AI and large language models (LLMs)? In the world of Generative AI, your data is your most valuable asset. Governance is imperative if the applications of Generative AI are going to be successful.

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NVIDIA

DECEMBER 13, 2023

And generative AI in the hands of fraudsters only promises to make this more profitable. AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics.

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IBM Journey to AI blog

JULY 6, 2023

to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes.

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ODSC - Open Data Science

FEBRUARY 25, 2025

At ODSC East 2025 , were excited to present 12 curated tracks designed to equip data professionals, machine learning engineers, and AI practitioners with the tools they need to thrive in this dynamic landscape. This track will explore how AI and machine learning are accelerating breakthroughs in life sciences.

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Marktechpost

JULY 19, 2023

Researchers have also shown that explainable AI, which is when an AI model explains at each step why it took a certain decision instead of just providing predictions, does not reduce this problem of AI overreliance. Check out the Paper and Stanford Article.

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ODSC - Open Data Science

JUNE 1, 2023

Unlocking Tabular Data’s Hidden Potential Tabular data holds the key to unlocking untapped potential and driving competitive advantage in a world where AI solutions are becoming increasingly commonplace. Take a deep dive into the theory underpinning and applications of Generative AI at our first-ever Generative AI Summit on July 20th.

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ODSC - Open Data Science

SEPTEMBER 26, 2024

Using AI to Detect Anomalies in Robotics at the Edge Integrating AI-driven anomaly detection for edge robotics can transform countless industries by enhancing operational efficiency and improving safety. Where do explainable AI models come into play? New Podcast Episode: AI for Robotics and Autonomy with Francis X.

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Marktechpost

JULY 11, 2023

Introduction Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major reason for the exponentially increasing popularity is the development of Large Language Models.

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