IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Code completion tools like GitHub Copilot can recommend the next few lines of code. But generative AI is not predictive AI.

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Unite.AI

SEPTEMBER 23, 2024

Critics point out that the complexity of biological systems far exceeds what current AI models can fully comprehend. While generative AI is excellent at data-driven prediction, it struggles to navigate the uncertainties and nuances that arise in human biology.

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Unite.AI

SEPTEMBER 13, 2023

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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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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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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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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Marktechpost

MAY 8, 2024

Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability.

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Unite.AI

OCTOBER 25, 2024

Can you elaborate on how the Quote AI tool improves quoting processes for businesses? This suite offers a holistic approach to integrating AI, addressing various aspects of business transformation. Explainability & Transparency: The company develops localized and explainable AI systems.

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Dlabs.ai

JULY 19, 2023

This problem becomes particularly pronounced when employees are unsure why an AI tool makes specific recommendations or decisions and could lead to reluctance to implement the AI’s suggestions. Possible solution: Explainable AI Fortunately, a promising solution exists in the form of Explainable AI.

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ODSC - Open Data Science

NOVEMBER 20, 2024

Understanding Prompt Engineering and the Evolution of Generative AI A particularly intriguing part of the conversation touched upon prompt engineering, a skill Yves believes will eventually phase out as generative AI models evolve. Yves Mulkers stressed the need for clean, reliable data as a foundation for AI success.

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Unite.AI

JUNE 24, 2024

This can be helpful for training a more domain-specific generative AI model, and can even be more effective than training a “larger” model, with a greater level of control. What are some future trends in AI and data science that you are excited about, and how is Astronomer preparing for them?

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ODSC - Open Data Science

OCTOBER 21, 2024

But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI. Microsoft’s AI Tools and Practices Microsoft offers a robust collection of resources dedicated to helping organizations implement responsible AI.

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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? Learn more about the lineup here!

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Viso.ai

MARCH 26, 2024

Below, we’ll explore some of the successful outcomes of how these AI tools for finance are revolutionizing the industry. 1: Fraud Detection and Prevention AI-powered fraud detection systems use machine learning algorithms to detect patterns and anomalies that may indicate fraud.

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Viso.ai

JULY 9, 2024

Understanding Generative AI Generative AI refers to the class of AI models capable of generating new content depending on an input. Text-to-image for example, refers to the ability of the model to generate images from a text prompt. Text-to-text models can produce text output based on a text prompt.

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Marktechpost

JULY 11, 2023

Recently, a new AI tool has been released, which has even more potential than ChatGPT. Called AutoGPT, this tool performs human-level tasks and uses the capabilities of GPT-4 to develop an AI agent that can function independently without user interference. What is AutoGPT?

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The MLOps Blog

JUNE 27, 2023

Integration with ML workflows : Integration with ML workflows and pipelines to incorporate model quality testing processes into your overall ML development lifecycle, ensuring continuous testing and improvement of model quality. Evidently AI Evidently AI is an open-source ML model monitoring system.

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Pickl AI

JANUARY 12, 2025

Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights. For instance, in retail, AI models can be generated using customer data to offer real-time personalised experiences and drive higher customer engagement, consequently resulting in more sales.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Look into AI fairness tools, such as IBM’s open source AI Fairness 360 toolkit. Cybersecurity threats Bad actors can exploit AI to launch cyberattacks. And while organizations are taking advantage of technological advancements such as generative AI , only 24% of gen AI initiatives are secured.

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AI Weekly

OCTOBER 12, 2023

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations. "I'll get more," he added.

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Viso.ai

JANUARY 21, 2025

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. They could be images, videos, or audio edited or generated using AI tools.

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Unite.AI

MARCH 5, 2025

He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions. How does your AI integrate open banking transaction data to provide a fuller picture of an applicants creditworthiness?

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ODSC - Open Data Science

MARCH 1, 2024

This part of the session equips participants with the ‘blocks’ necessary to construct sophisticated AI models, including those based on machine learning, deep learning, and Explainable AI. It’s an opportunity to see the versatility of KNIME’s AI tools in action, offering a glimpse into the potential of GeoAI applications.

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Pickl AI

DECEMBER 10, 2024

Techniques for Secure Data Usage Privacy-preserving techniques like federated learning and differential privacy enable AI models to train on distributed data without compromising user confidentiality. Below are some key categories of tools that form the backbone of the AI TRiSM framework.

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IBM Journey to AI blog

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services. iii] “AI models haven’t had that kind of data before.

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