Flipboard

NOVEMBER 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Metadata 159

Metadata LLM Natural Language Processing Generative AI 159

Unite.AI

FEBRUARY 25, 2025

Data continues to become more detailed thanks to AI-powered processes and capabilities, underscoring the need for technical conformity with security requirements and adherence to responsible AI best practices. Data governance frameworks are a relatively recent invention focused on more traditional data assets.

AI 147

AI AI Automation Large Language Models 147

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Embrace the power of observability and unlock new heights for your generative AI applications.

Generative AI 108

Generative AI Metadata Data Scientist AI 108

IBM Journey to AI blog

SEPTEMBER 20, 2023

At all levels of governments, from national entities to local governments, public employees must be ready for this new AI era. While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects.

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Generative AI AI AI Explainability 307

AWS Machine Learning Blog

OCTOBER 29, 2024

Batch inference in Amazon Bedrock efficiently processes large volumes of data using foundation models (FMs) when real-time results aren’t necessary. Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

Automation 118

Automation Generative AI Metadata Data Scientist 118

Unite.AI

JANUARY 20, 2025

Creating a Blueprint for Transparency At its core, AI transparency is about creating clarity and trust by showing how and why AI makes decisions. Its about breaking down complex processes so that anyone, from a data scientist to a frontline worker, can understand whats going on under the hood.

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Explainability Explainable AI AI AI 113

AWS Machine Learning Blog

JANUARY 31, 2025

About the Authors Jordan Knight is a Senior Data Scientist working for Travelers in the Business Insurance Analytics & Research Department. George has led several successful AI initiatives and holds two patents in AI-powered risk assessment.

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Prompt Engineering Prompt Engineer Data Scientist Large Language Models 83

AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. We use the following graph.

Metadata 114

Metadata Convolutional Neural Networks Generative AI Data Scientist 114

AWS Machine Learning Blog

FEBRUARY 19, 2025

Data scientist experience Data scientists are the second persona interacting with SageMaker HyperPod clusters. Data scientists are responsible for the training, fine-tuning, and deployment of models on accelerated compute instances. HyperPod CLI v2.0.0

Data Scientist 74

Data Scientist Data Science ML Engineer Generative AI 74

ODSC - Open Data Science

OCTOBER 21, 2024

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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Responsible AI ML Data Scientist Machine Learning 52

Unite.AI

SEPTEMBER 18, 2024

Improved Coding Abilities: The models show enhanced performance in coding tasks, making them valuable for developers and data scientists. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment. Advanced Tool Use: Llama 3.1

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

ODSC - Open Data Science

NOVEMBER 21, 2024

Understanding these dynamics, he argues, is crucial for professionals developing, deploying, or regulating AI. Navigating Complexity with Established Frameworks Dr. Spector brings additional value to his session by offering frameworks to help data scientists navigate the intricate landscape of AI deployment.

Data Science 52

Data Science Data Scientist Algorithm Machine Learning 52

Flipboard

MARCH 4, 2025

Editor’s note: Ryan Sloan , a data scientist based in Seattle, wrote this guest post after assessing the GeekWire 200, our list of top Pacific Northwest startups. I recently read that a company in Finland is using AI to find the perfect coffee blend. Theres little question that AI is everywhere. Ryan Sloan.

Data Scientist 116

Data Scientist Responsible AI AI AI 116

AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

Generative AI 92

Generative AI Responsible AI Automation LLM 92

Unite.AI

MARCH 27, 2024

This AI-dominated era may redefine traditional work paradigms and shape employment dynamics. Regarding job opportunities, emerging roles within AI-related fields are gaining prominence. Moreover, emphasizing human-AI collaboration highlights AI's enhancement of human capabilities rather than replacement, resulting in improved outcomes.

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Natural Language Processing AI AI Algorithm 278

ODSC - Open Data Science

MARCH 18, 2025

While every events lineup is unique and changes based on industry trends and needs, we reinvite many speakers each time as the attendees have made it clear that these AI professionals are cant-miss speakers, and they always get positive feedback. He received a Ph.D.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

AWS Machine Learning Blog

DECEMBER 9, 2024

In the initial stages of an ML project, data scientists collaborate closely, sharing experimental results to address business challenges. MLflow , a popular open-source tool, helps data scientists organize, track, and analyze ML and generative AI experiments, making it easier to reproduce and compare results.

ML 90

ML Data Scientist Machine Learning Software Engineer 90

IBM Journey to AI blog

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. the target or outcome variable is known).

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It also introduces Google’s 7 AI principles.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

ODSC - Open Data Science

SEPTEMBER 28, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. Recently, we spoke with Adam Ross Nelson, data science career coach and author of “How to Become a Data Scientist” and “ Confident Data Science.”

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Data Science Data Scientist Responsible AI Computer Scientist 98

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. Amit Modi is the product leader for SageMaker MLOps, ML Governance, and Responsible AI at AWS. He is an ACM Fellow and IEEE Fellow.

Machine Learning 107

Machine Learning ML Data Scientist Robotics 107

Unite.AI

APRIL 9, 2024

Organizations deploying AI systems must adhere to ethical guidelines and legal requirements. Transparency is fundamental for responsible AI usage. Transparent AI is not optional—it is a necessity now. Fairness and privacy are critical considerations in responsible AI deployment.

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Composite AI Explainability Black Box AI Neural Network 182

IBM Journey to AI blog

JULY 27, 2023

Further complicating matters, the uses of data have become more varied, and companies are faced with managing complex or poor-quality data. Overall placing emphasis on establishing a trusted and integrated data platform for AI. Trust is a leading factor in preventing stakeholders from implementing AI.

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Generative AI Chatbots Data Scientist AI 173

Unite.AI

JULY 3, 2023

Many of the security teams had never even spoken to the data scientists – they spoke completely different languages when it came to technology and ultimately had zero visibility into the AI running across the enterprise. Why should responsible AI become a priority for enterprises?

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Responsible AI AI AI Explainability 162

Flipboard

DECEMBER 3, 2024

Zach is dedicated to exploring innovative ways to enhance farming efficiency and sustainability through AI and data-driven approaches. Serg Masis is a Senior Data Scientist at Syngenta, and has been at the confluence of the internet, application development, and analytics for the last two decades.

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Generative AI Metadata Machine Learning Natural Language Processing 146

Unite.AI

MAY 30, 2024

The rise of citizen data scientists and professionals embracing AI without formal data science backgrounds will drive this trend, democratizing access to advanced AI technologies. Furthermore, emphasis on ethics and responsible AI use will prepare users to navigate ethical considerations and societal impacts.

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AI Developer AI Development AI Tools AI 221

NVIDIA

JANUARY 11, 2024

Forty-three percent of financial services professionals indicated that AI had improved their operational efficiency, while 42% felt it had helped their business build a competitive advantage. A Shift in the Headwinds In previous years, the number one challenge respondents reported was recruiting AI experts and data scientists.

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Large Language Models Data Scientist Generative AI AI 137

Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 124

ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. However one doesn’t only need to rely on synthetic data.

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Generative AI Responsible AI Data Science Data Scientist 98

AWS Machine Learning Blog

APRIL 4, 2025

With Bring Your Own Inference (BYOI) responses, you can now evaluate retrieval and generation results from a variety of sources, including other FM providers, custom-build RAG systems, or deployed open-weights solutions, by providing the outputs in the required format. He has two graduate degrees in physics and a doctorate in engineering.

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Generative AI Metadata Python Data Scientist 110

ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

Data Scientist 98

Data Scientist Responsible AI AI AI 98

ODSC - Open Data Science

APRIL 4, 2025

ODSC East 2025 is fast approaching, offering data scientists and AI professionals an unparalleled opportunity to engage with the latest advancements in the field. Attendees will learn about mapping cognitive processes to enhance the interpretability and usability of AI systems in visual data analysis.

Generative AI 52

Generative AI Large Language Models LLM Data Science 52

ODSC - Open Data Science

AUGUST 11, 2023

How generative AI can enable more people within an organization to self-serve for simple analytics requests. Learn from success stories of implementing self-service data analytics within large organizations that StoryIQ has partnered with.

Data Science 98

Data Science Data Scientist Machine Learning Prompt Engineer 98

ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy.

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Responsible AI Automation Data Science Large Language Models 40

Unite.AI

SEPTEMBER 25, 2024

However, GenAI reverses the dynamic, but most best practices and responsible use guidelines still include a “human in the loop” component to maintain ethical standards and values. As new AI products are designed, developed, and manufactured for production, enterprises must also remain vigilant of the AI industry’s latest regulatory policies.

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Data Quality Machine Learning Deep Learning Automation 182

ODSC - Open Data Science

FEBRUARY 23, 2023

By knowing these core skills, like math and AI literacy, you’ll start off your career on a high note. Solve Your MLOps Problems with an Open Source Data Science Stack These are 10 common problems data scientists face in regard to MLOps alongside some open-source solutions to address them. It is much harder than it sounds.

Data Science 98

Data Science Data Scientist Python Machine Learning 98

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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Data Science Neural Network Convolutional Neural Networks Large Language Models 52