IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. Where do you harness gen AI vs. predictive AI vs. AI orchestration?

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Marktechpost

AUGUST 24, 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. With over 2.5 million members.

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Unite.AI

JUNE 18, 2024

This fascinating fusion of creativity and automation, powered by Generative AI , is not a dream anymore; it is reshaping our future in significant ways. Looking further ahead, one critical area of focus is Explainable AI , which aims to make AI decisions transparent and understandable.

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IBM Journey to AI blog

FEBRUARY 8, 2024

The European Artificial Intelligence Act, while not yet law, is driving new levels of human oversight and regulatory compliance for artificial intelligence (AI) within the European Union. Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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IBM Journey to AI blog

APRIL 11, 2023

In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments. Our organization is ready to assist companies in becoming data-driven and addressing compliance.

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IBM Journey to AI blog

AUGUST 9, 2024

But generative AI is not predictive AI. Predictive AI is its own class of artificial intelligence , and while it might be a lesser-known approach, it’s still a powerful tool for businesses. What is generative AI? Let’s examine the two technologies and the key differences between each.

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IBM Journey to AI blog

SEPTEMBER 18, 2023

Siloed processes can become integrated by using intelligent workflows, which help enable seamless and automated exchange of financial, informational and physical supply chain data in one distributed network. Additionally, artificial intelligence (AI) plays an important role.

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Pickl AI

OCTOBER 8, 2024

Summary: This blog discusses Explainable Artificial Intelligence (XAI) and its critical role in fostering trust in AI systems. Introduction Artificial Intelligence (AI) is becoming increasingly integrated into various aspects of our lives, influencing decisions in healthcare, finance, transportation, and more.

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Unite.AI

APRIL 22, 2024

This development has now entered a new phase with the integration of Artificial Intelligence (AI). AI-powered virtual consultations and remote monitoring are increasingly becoming essential, effectively closing the gap between doctors and patients. of all diagnosable conditions.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Manual processes can lead to “black box models” that lack transparent and explainable analytic results.

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IBM Journey to AI blog

OCTOBER 12, 2023

Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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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.

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IBM Journey to AI blog

JANUARY 25, 2024

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models.

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IBM Journey to AI blog

OCTOBER 17, 2024

But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience. AI in Cognos automates many traditionally manual tasks. Automated metrics creation Even the task of creating metrics and KPIs is simplified.

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How to Learn Machine Learning

JANUARY 21, 2023

Keep hearing about AI? Then check out our article on the best Artificial Intelligence trends in 2023! Artificial intelligence (AI) is a term that encompasses the use of computer technology to solve complex problems and mimic human decision-making. Want to know where the field is going this year?

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Unite.AI

JULY 2, 2024

Artificial intelligence (AI) is revolutionizing industries, streamlining processes, improving decision-making, and unlocking previously unimagined innovations. As we witness AI's rapid evolution, the European Union (EU) has introduced the EU AI Act, which strives to ensure these powerful tools are developed and used responsibly.

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Pickl AI

JULY 24, 2024

Summary: The history of Artificial Intelligence spans from ancient philosophical ideas to modern technological advancements. This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps aims to streamline the time and resources it takes to run data science models using automation, ML and iterative improvements on each model version. What is MLOps? How the models are stored.

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Unite.AI

SEPTEMBER 20, 2024

Artificial Intelligence (AI) is transforming industries worldwide and introducing new levels of innovation and efficiency. AI has become a powerful tool in finance that brings new approaches to market analysis, risk management, and decision-making. Over the past ten years, AI has become a reality in financial analysis.

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. Introduction Artificial Intelligence (AI) continues to shape the future, with its market size skyrocketing from $515.31 billion in 2023 to a projected $2,740.46

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Aiiot Talk

JULY 7, 2023

AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI-Powered Predictive Maintenance AI is a powerful tool for improving aircraft safety through predictive analytics. Generative AI can also pose risks for aviation industry applications.

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IBM Journey to AI blog

DECEMBER 4, 2023

IBM watsonx.governance ™, a component of the watsonx™ platform that will be available on December 5 th , helps organizations monitor and govern the entire AI lifecycle. It helps accelerate responsible, transparent and explainable AI workflows.

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Marktechpost

MAY 12, 2024

The platform includes multiple solutions to handle various elements of fraud protection, such as Device Intelligence, AdShield, and Compliance AI. SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments.

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ODSC - Open Data Science

AUGUST 14, 2023

Everyone’s using artificial intelligence now. From your little cousin using Midjourney to make dramatic anime-esque scenes, to your mom using it to simplify recipes, AI isn’t a pipedream anymore. Funny enough, you can use AI to explain AI. That’s not too bad.

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NYU Center for Data Science

JUNE 16, 2023

A PhD candidate in the Machine Learning Group at the University of Cambridge advised by Adrian Weller , Umang will continue to pursue research in trustworthy machine learning, responsible artificial intelligence, and human-machine collaboration at NYU. His work has been covered in press (e.g., UK Parliament POSTnote , NIST ).

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IBM Journey to AI blog

AUGUST 12, 2024

The integration of generative AI, particularly LLMs, offers transformative potential to automate compliance processes, detect anomalies, and provide comprehensive insights into regulatory requirements. Financial institutions are prioritizing the integration of AI to address pressing challenges and enhance their competitive edge.

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Marktechpost

AUGUST 13, 2024

Integrating AI and human expertise addresses the need for reliable, explainable AI systems while ensuring that technology complements rather than replaces human capabilities. Automated AI Systems handle repetitive tasks within specific domains, like robotic process automation and forest management.

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Pickl AI

APRIL 8, 2024

We delve into real-world examples to illustrate the impact of these mistakes and pave the way for a more ethical and responsible future of AI Failures. 13 Biggest AI Failures: A Look at the Pitfalls of Artificial Intelligence Artificial intelligence (AI) has become a ubiquitous term, woven into the fabric of our daily lives.

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Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Key Features of Machine Learning Machine Learning (ML) is a subfield of AI where computers learn from data without explicit programming.

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AWS Machine Learning Blog

MARCH 6, 2025

As these systems evolve, they will transform industries, expand possibilities, and open new doors for artificial intelligence. These agents autonomously gather, process, and consolidate data into actionable insights, orchestrating and automating business logic to streamline processes and provide real-time insights.

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Dlabs.ai

MAY 22, 2022

Machine Learning for Data Science and Analytics Authors: Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer Associate, Mihalis Yannakakis, Peter Orbanz If you ever dreamt of attending classes at Columbia University but never had the chance, this artificial intelligence course focused on ML is the next best thing.

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IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. 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. Watsonx.ai

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AWS Machine Learning Blog

NOVEMBER 15, 2024

If you are planning on using automated model evaluation for toxicity, start by defining what constitutes toxic content for your specific application. Automated evaluations come with curated datasets to choose from. Explainability The explainability dimension in responsible AI focuses on understanding and evaluating system outputs.

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Marktechpost

JULY 22, 2024

This is a critical limitation as the demand for explainable AI grows. Recent advancements have explored integrating explainability into these models, but challenges remain in ensuring that the explanations are consistent and relevant across various scenarios. Check out the Paper.

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Dlabs.ai

JULY 19, 2023

As the incorporation of artificial intelligence (AI) expands, so does the complexity and range of its risks. It’s essential to keep humans involved in AI decision-making processes, especially when these decisions can significantly impact people’s lives. If the question ‘ How to navigate these risks ?’

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Marktechpost

JUNE 9, 2024

Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features. This approach enhances the interpretability and reliability of ECG classifications, bridging the gap between clinical needs and automated analysis. Check out the Paper.

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