IBM Journey to AI blog

AUGUST 11, 2023

Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. MLOps is the next evolution of data analysis and deep learning. Looking to scale the impact of AI across your business?

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Unite.AI

MARCH 20, 2025

If AI systems produce biased outcomes, companies may face legal consequences, even if they don't fully understand how the algorithms work. It cant be overstated that the inability to explain AI decisions can also erode customer trust and regulatory confidence. Visualizing AI decision-making helps build trust with stakeholders.

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ODSC - Open Data Science

MARCH 20, 2025

From May 13th to 15th, ODSC East 2025 is bringing together the brightest minds in AI and data science for an unparalleled learning and networking experience. With 150+ expert-led sessions, hands-on workshops, and cutting-edge talks, youll gain the skills and insights needed to stay ahead in the rapidly evolving AI landscape.

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ODSC - Open Data Science

NOVEMBER 30, 2023

Healthcare systems are implementing AI, and patients and clinicians want to know how it works in detail. Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is Explainable AI?

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Towards AI

MARCH 17, 2024

Alongside this, there is a second boom in XAI or Explainable AI. Explainable AI is focused on helping us poor, computationally inefficient humans understand how AI “thinks.” Interpretability — Explaining the meaning of a model/model decisions to humans. This article builds on the work of the XAI community.

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Towards AI

NOVEMBER 1, 2023

Last Updated on November 2, 2023 by Editorial Team Author(s): Ahmed Fessi Originally published on Towards AI.

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AI Weekly

OCTOBER 3, 2024

radiologybusiness.com Research How cold hard data science harnesses AI with Wolfram Research It’s sometimes difficult to distinguish the reality of technology from the hype and marketing messages that bombard our inboxes daily.

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Towards AI

MAY 6, 2024

A typical SHAP Plot — Image by Author In Part 1 of Data Science Case Study — Credit Default Prediction, we have talked about feature engineering, model training, model evaluation and classification threshold selection. This is where model explainability comes into picture. This article is the continuation of Part 1.

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IBM Journey to AI blog

MAY 9, 2023

The solution: IBM watsonx.governance Coming soon, watsonx.governance is an overarching framework that uses a set of automated processes, methodologies and tools to help manage an organization’s AI use. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Bureau of Labor Statistics predicts that employment for Data Scientists will grow by 36% from 2021 to 2031 , making it one of the fastest-growing professions.

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ODSC - Open Data Science

MARCH 10, 2025

AI and data science are advancing at a lightning-fast pace with new skills and applications popping up left and right. Walk away with practical approaches to designing robust evaluation frameworks that ensure AI systems are measurable, reliable, and deployment-ready.

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Unite.AI

APRIL 9, 2024

Composite AI plays a pivotal role in enhancing interpretability and transparency. Combining diverse AI techniques enables human-like decision-making. Key benefits include: reducing the necessity of large data science teams. enabling consistent value generation. building trust with users, regulators, and stakeholders.

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Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. Data Science Cheat Sheet for Business Leaders In today’s data-driven world, information is power.

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Pickl AI

JULY 1, 2024

Demand forecasting, powered by data science, helps predict customer needs. Optimize inventory, streamline operations, and make data-driven decisions for success. Data Science empowers businesses to leverage the power of data for accurate and insightful demand forecasts.

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Unite.AI

MARCH 5, 2025

Jamie Twiss is an experienced banker and a data scientist who works at the intersection of data science, artificial intelligence, and consumer lending. He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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IBM Journey to AI blog

OCTOBER 16, 2023

. “Foundation models make deploying AI significantly more scalable, affordable and efficient.” It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. ” Are foundation models trustworthy?

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ODSC - Open Data Science

JUNE 7, 2023

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

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. IBM watsonx.governance is an end-to-end automated AI lifecycle governance toolkit that is built to enable responsible, transparent and explainable AI workflows.

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ODSC - Open Data Science

DECEMBER 7, 2023

8 Tools to Protect Sensitive Data from Unintended Leakage In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within. Use our guide to help you ask the right questions to get you in.

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ODSC - Open Data Science

FEBRUARY 24, 2023

How to learn more about data exploration tools and uses There are plenty of data exploration tools available and countless ways to use them. For those looking to get more out of their data, whether you’re new to data science or you’re a seasoned pro, getting hands-on training with these tools is the best way to learn how they work.

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Mlearning.ai

FEBRUARY 6, 2023

This is why we need Explainable AI (XAI). Submission Suggestions Explainable AI and ChatGPT Detection was originally published in MLearning.ai With these statistics, a dispute process may be needed, but how would disputes be resolved if even the admissions officers don’t know why the model made a prediction ?

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Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Let us go further into the enigmas of Artificial Intelligence, where AI is making waves like never before! So, don’t worry, this is where Explainable AI, also known as XAI, comes in.

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DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Documented, explainable model facts are necessary when defending analytic decisions. An AI Governance solution driving responsible, transparent and explainable AI workflows The right AI governance solution can help to better direct, manage and monitory your organization’s AI activities.

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Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)?

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ODSC - Open Data Science

AUGUST 14, 2023

“I still don’t know what AI is” If you’re like my parents and think I work at ChatGPT, then you may have to learn a little bit more about AI. Funny enough, you can use AI to explain AI. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

OCTOBER 24, 2023

Figure 1: Synthetic data (left) versus real (right), Telecom dataset The main hyperparameter vector specifies the number of quantile intervals to use for each feature (one per feature). Indeed, the whole technique epitomizes explainable AI. It is easy to fine-tune, allowing for auto-tuning.

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How to Learn Machine Learning

APRIL 4, 2025

AI will automate all repetitive tasks which will lead to increasing need for creativity, critical thinking, and problem solving skills. A lot of traditional roles might go away but there will be opportunities from AI. People will have to reskill in new domains like data science, ethics of AI, or human-AI teamwork.

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ODSC - Open Data Science

FEBRUARY 13, 2023

Explainable AI: As in the namesake, explainable AI’s purpose is to clearly and in a transparent manner, explain why a machine learning model came to a specific decision. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

JANUARY 29, 2025

Explainable AI(XAI) Explainable AI emphasizes transparency and interpretability, enabling users to understand how AI models arrive at decisions. Techniques such as embodied AI, multimodal learning, knowledge graphs, reinforcement learning, and explainable AI are paving the way for more grounded and reliablesystems.

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ODSC - Open Data Science

DECEMBER 27, 2024

If you ask any company what theyd build with an infinite software engineering budget, youll get a long list of projects theyre not getting to, he explained. AI agents, rather than replacing developers, will unlock these untapped opportunities, leading to more softwarenot fewer developers.

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Towards AI

AUGUST 31, 2023

Last Updated on September 1, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An introduction to explainable AI This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 days before on my blog!

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Towards AI

FEBRUARY 22, 2024

Our friends at Zoī are hiring their Chief AI Officer. Zoī is at the crossroads of 3 domains: Medical, Data Science, and BeSci. Zoī aims to create personalized user manuals for each member by gathering only the necessary data to provide tailored recommendations based on thousands of factors. Our must-read articles 1.

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ODSC - Open Data Science

APRIL 9, 2025

This kind of associative intelligence brings AI closer to human-like reasoningwhere understanding a situation requires synthesizing multiple forms of information, not just matching text snippets. Meanwhile, graphs are proving vital in explainable AI and fairness.

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NYU Center for Data Science

JUNE 16, 2023

Umang earned a joint bachelors-masters in Electrical and Computer Engineering at Carnegie Mellon University, where he was advised by José Moura and collaborated with Pradeep Ravikumar on explainable AI and Zico Kolter on automated pothole detection. By Meryl Phair

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Marktechpost

MAY 12, 2024

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. It is based on adjustable and explainable AI technology.

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