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.

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Towards AI

NOVEMBER 1, 2023

The Future of AI in Europe: A New EU Regulation on the Horizon AI Trends for 2023–2024 — Illustration generated by the Author using Dall-E 3 Our world is undergoing significant changes, and some, including me, believe that AI will deeply drive change in the Tech planet but also in our societies.

Explainable AI 119

Explainable AI Explainability AI AI 119

Unite.AI

JANUARY 1, 2025

AI is expected to add between $200 and $340 billion in value for banks annually, primarily through enhanced productivity. 66% of banking and finance executives believe these potential productivity gains from AI and automation are so significant that they must accept the risks to stay competitive.

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Unite.AI

DECEMBER 27, 2024

Its because the foundational principle of data-centric AI is straightforward: a model is only as good as the data it learns from. For example, generative AI systems that produce erroneous outputs often trace their limitations to inadequate training datasets, not the underlying architecture.

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Data Quality Data Drift Explainability Big Data 130

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. Not complying with the EU AI Act can be costly: 7.5 million euros or 1.5%

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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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Automation Generative AI AI AI 159

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Metadata Explainability Automation Explainable AI 220

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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AI AI Artificial Intelligence Artificial Intelligence 300

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

DECEMBER 4, 2023

The AI Ethics Board: a central, cross-disciplinary body that supports a centralized governance, review and decision-making process for IBM ethics policies, practices, communications, research, products and services. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

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Metadata AI AI Explainable AI 228

IBM Journey to AI blog

JANUARY 25, 2024

This holds true in the areas of statistics, science and AI. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English. Models created with a lack of domain expertise can lead to erroneous outputs.

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Algorithm Explainability AI AI 247

Pickl AI

JANUARY 12, 2025

Define AI-driven Practices AI-driven practices are centred on processing data, identifying trends and patterns, making forecasts, and, most importantly, requiring minimum human intervention. Aggregated, these methods will illustrate how data-driven, explainable AI empowers businesses to improve efficiency and unlock new growth paths.

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Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

How to Learn Machine Learning

APRIL 4, 2025

The future of AI is clear and promising; it has a lot of potential, and its usage is beyond simple tasks. AI is becoming smarter, and it is helping businesses automate tasks, improve user experience, and make better choices. The spoiler is that AI will change the complete narrative of the work landscape.

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Artificial Intelligence Artificial Intelligence Automation Explainable AI 52

IBM Journey to AI blog

AUGUST 11, 2023

MLOps, which stands for machine learning operations, uses automation, continuous integration and continuous delivery/deployment (CI/CD) , and machine learning models to streamline the deployment, monitoring and maintenance of the overall machine learning system. How to use ML to automate the refining process into a cyclical ML process.

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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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Generative AI Prompt Engineering Prompt Engineer Data Quality 71

Unite.AI

DECEMBER 13, 2023

The introduction of generative AI tools marks a shift in disaster recovery processes. Organizations must showcase how AI-driven decisions are made, making explainable AI models important. AI-Powered Cybersecurity Workforce Training By 2030, an estimated 30% of tasks will be automated using AI technology.

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Explainability AI AI Responsible AI 290

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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Black Box AI Algorithm Explainability Explainable AI 130

AWS Machine Learning Blog

MARCH 6, 2025

Agents are revolutionizing the landscape of generative AI , serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to become the cornerstone of AI adoption across industries, heralding a new era of human-AI collaboration and problem-solving.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

brings new generative AI capabilities—powered by FMs and traditional machine learning (ML)—into a powerful studio spanning the AI lifecycle. IBM watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture to scale AI workloads for all of your data, anywhere.

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Large Language Models DevOps Data Science AI Modeling 238

Unite.AI

JULY 1, 2024

Automated tools can streamline this process, allowing real-time audits and timely interventions. Transparency and Explainability Enhancing transparency and explainability is essential. Tools like IBM's AI Fairness 360 provide comprehensive metrics and algorithms to detect and mitigate bias.

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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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Unite.AI

JUNE 24, 2024

Having worn both hats, I am very aware of the importance of the software development lifecycle (especially automation and testing) as applied to machine learning projects. What are the biggest challenges in moving, processing, and analyzing unstructured data for AI and large language models (LLMs)?

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Data Scientist Large Language Models Machine Learning Software Engineer 130

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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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. Global organizations like IKEA and DHL use it to build, deploy, and scale all computer vision applications in one place, with automated infrastructure.

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IBM Journey to AI blog

JULY 6, 2023

A major online media company uses data science to develop personalized content, enhance marketing through targeted ads and continuously update music streams, among other automation decisions. to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling.

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Explainable AI Explainability ETL Automation 52

How to Learn Machine Learning

JUNE 9, 2024

The brief yet convincing answer to these questions is the ability of ML solutions to automate routine tasks and facilitate decision-making. 5 Top Machine Learning Trends in 2024 Here are the top 5 machine learning trends that you must watch for in 2024: 1) AutoML Some people refer to Automated Machine Learning as AutoML.

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Machine Learning Explainable AI ML Explainability 52

Viso.ai

JANUARY 21, 2025

Youll explore: Generative AI Vision Transformers (ViTs) and their Architectural Revolution. This is a type of AI that can create high-quality text, images, videos, audio, and synthetic data. To be more clear, these are AI tools that create highly realistic and innovative outputs based on various multimodal inputs.

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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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ML Data Scientist Big Data Data Science 52

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 brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape.

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Data Scientist Machine Learning Large Language Models ML Engineer 52

Pickl AI

JULY 24, 2024

As AI systems become more autonomous, ensuring transparency and fairness in decision-making processes is paramount. Additionally, the potential for job displacement due to automation raises concerns about the future of work. 2004: Discussions about Generative Adversarial Networks (GANs) begin, signalling the start of a new era in AI.

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ODSC - Open Data Science

OCTOBER 10, 2024

Industry, Opinion, Career Advice AI Startups Fueling the Next Wave of AI Innovation at ODSC West These 5 AI startups will be a part of ODSC West later this month, and they’re worth paying attention to. Billion in Funding from Microsoft, Nvidia Amid Restructuring Plans AI powerhouse OpenAI has finalized a $6.6

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Viso.ai

DECEMBER 6, 2023

Generative AI: Architectures like Generative Adversarial Networks ( GANs ) and Variational Autoencoders ( VAEs ) are giving rise to generative models that can synthesize new images based on input data distributions. Multimodal learning: As evident from image generator models, combining text and image data is the norm.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

They manipulate AI tools to clone voices, generate fake identities and create convincing phishing emails—all with the intent to scam, hack, steal a person’s identity or compromise their privacy and security. Build a solid tech stack and remain open to experimenting with the latest AI tools. million in 2024.

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IBM Journey to AI blog

FEBRUARY 28, 2024

They also found that, while the public is still wary about new technologies like artificial intelligence (AI), most people are in favor of government adoption of generative AI. All respondents had at least a basic understanding of AI and generative AI. However, trust is an issue.

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Unite.AI

JULY 5, 2024

Healthcare organizations can automate as many processes as they would like, but if they don’t change the experience or the value that the patient receives, it will be especially difficult to find success. How is generative AI currently being used to enhance healthcare treatments and improve patient outcomes?

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Pickl AI

MARCH 31, 2024

Summary: Generative AI isn’t magic, but it learns like one! Through a multi-step process, the AI extracts patterns and relationships within the data. This knowledge empowers it to create entirely new, realistic content, like generating human-quality images or composing original music.

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