Unite.AI

MARCH 17, 2025

After all, companies cant have AI development without fixing data first, and leaders are pulling away from the pack by using their more matured capabilities to better ideate, prioritize, and ensure adoption of more differentiating and transformational uses of data and AI.

AI Strategy 202

AI Strategy Data Quality AI AI 202

NVIDIA

FEBRUARY 26, 2025

A team of NVIDIA software engineers will also cover hardware-aware optimizations for ONNX Runtime, NVIDIA TensorRT and llama.cpp, helping developers maximize AI efficiency across GPUs, CPUs and NPUs. Developers and enthusiasts can get started with AI development on RTX AI PCs and workstations using NVIDIA NIM microservices.

AI Developer 68

AI Developer AI Development Software Engineer Computer Vision 68

IBM Journey to AI blog

JULY 30, 2024

AI Developer / Software engineers: Provide user-interface, front-end application and scalability support. Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation. IBM watsonx.ai

Generative AI 266

Generative AI Data Scientist Software Engineer AI 266

Unite.AI

FEBRUARY 5, 2025

As a result, server systems built for demanding AI workloads are becoming cost prohibitive or out of reach for many with capped departmental operating expenses (OpEx) budgets. In 2025, enterprise customers must level-set their AI costs and re-sync levels of AI development budget.

AI Tools 138

AI Tools AI AI Data Scientist 138

Unite.AI

OCTOBER 30, 2023

Improves quality: The effectiveness of AI is significantly influenced by the quality of the data it processes. Training AI models with subpar data can lead to biased responses and undesirable outcomes. Improving AI quality: AI system effectiveness hinges on data quality.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

Unite.AI

NOVEMBER 25, 2024

Unfortunately, there is no certifying body in the US that regulates efforts to use AI to “unbias” healthcare delivery, and even for those organizations that have put forth guidelines, there’s no regulatory incentive to comply with them. To do that, accurate integration and interoperability are essential.

Algorithm 182

Algorithm AI AI Data Scientist 182

AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%.

Data Scientist 74

Data Scientist Data Science ML Engineer Generative AI 74

Unite.AI

JULY 21, 2023

In order to protect people from the potential harms of AI, some regulators in the United States and European Union are increasingly advocating for controls and checks and balances on the power of open-source AI models. Bias can be injected into AI models in several ways.

Data Drift 241

Data Drift Large Language Models Algorithm Data Scientist 241

AI Weekly

OCTOBER 19, 2023

Vinovest’s experts and data scientists identify the casks with the strongest growth potential. techcrunch.com Tired of shortages, OpenAI considers making its own AI chips OpenAI, the creator of ChatGPT and DALL-E 3 generative AI products, is exploring the possibility of manufacturing its own AI accelerator chips, according to Reuters.

Robotics 263

Robotics Deep Learning Data Scientist Artificial Intelligence 263

deepsense.ai

SEPTEMBER 11, 2023

You may worry that this sounds like it might require a data scientist’s level of expertise. CodeReview.GPT But it’s not just developers who are benefiting from these advancements. Data scientists and analysts who favor Jupyter notebooks can take advantage of genai.

AI Developer 105

AI Developer AI Development Generative AI Software Engineer 105

Unite.AI

APRIL 4, 2025

Before joining BPGbio, he most recently served as Business Development Search & Evaluation Lead at Bristol-Myers Squibb where he was pivotal in sourcing and evaluating licensing opportunities and strategic partnerships. At BPGbio, we see AI as a powerful toolbut not a replacementfor human expertise.

AI Modeling 165

AI Modeling Data Scientist Generative AI AI 165

NVIDIA

FEBRUARY 27, 2025

Agentic AI Sessions for Developers and Engineers Developers, engineers, architects, data scientists and all technical professionals attending GTC can stop by the AI Platforms Pavilion and the Generative and Agentic AI Pavilion to meet industry leaders streamlining AI development with end-to-end workflows using resources from the NVIDIA AI Enterprise (..)

AI 124

AI AI Data Scientist Generative AI 124

Flipboard

JANUARY 6, 2025

Project DIGITS is meant to work alongside a desktop PC, giving AI developers, data scientists, and students a convenient way to access a Blackwell GPU. But the product won't be cheap.

Data Scientist 130

Data Scientist AI Developer AI Development AI 130

NVIDIA

DECEMBER 2, 2024

That’s why NVIDIA introduced MONAI , which serves as an open-source research and development platform for AI applications used in medical imaging and beyond. MONAI unites doctors with data scientists to unlock the power of medical data to build deep learning models and deployable applications for medical AI workflows.

AI 109

AI AI AI Modeling Data Scientist 109

Unite.AI

JUNE 27, 2023

The Strategic Acquisition of MosaicML MosaicML offers a platform designed to optimize machine learning models, aiming to simplify the development process and enhance their efficiency. In the competitive and rapidly evolving world of data analytics and machine learning, this acquisition puts Databricks in a strong position.

Machine Learning 240

Machine Learning ML Data Scientist AI Developer 240

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.

Explainability 113

Explainability Explainable AI AI AI 113

Unite.AI

SEPTEMBER 18, 2024

Continuous Monitoring: Anthropic maintains ongoing safety monitoring, with Claude 3 achieving an AI Safety Level 2 rating. Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Advanced Tool Use: Llama 3.1 Multilingual Support: Llama 3.1 Benchmark Performance Llama 3.1

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Towards AI

NOVEMBER 14, 2024

Put a dozen experts (frustrated ex-PhDs, graduates, and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons). It is a one-stop conversion for software developers, machine learning engineers, data scientists, or AI/Computer Science students.

LLM 116

LLM Machine Learning Python Prompt Engineer 116

ODSC - Open Data Science

MARCH 13, 2025

Copyright Office clarified its stance on AI-generated content and what is eligible for copyright protection. For data scientists, AI developers, and professionals working with generative models, understanding these guidelines is crucial to navigating copyright claims in AI-assisted projects.

Data Scientist 52

Data Scientist Large Language Models AI AI 52

Marktechpost

MARCH 25, 2025

Innovative frameworks that simplify complex interactions with large language models have fundamentally transformed the landscape of generative AI development in Python.

Generative AI 70

Generative AI Software Engineer Python Large Language Models 70

AWS Machine Learning Blog

MARCH 18, 2025

To simplify this process, AWS introduced Amazon SageMaker HyperPod during AWS re:Invent 2023 , and it has emerged as a pioneering solution, revolutionizing how companies approach AI development and deployment. These inefficiencies delay AI innovation and drive up costs.

Machine Learning 108

Machine Learning AI AI ML 108

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 7, 2023

Start off on the right foot The process of AI development suffers from poor planning, project management, and engineering problems. Most business leaders today learn about AI from the media, which often describes the value of AI as magic or as something that can be put into production with just a few sprinkles.

Data Scientist 137

Data Scientist Automation AI AI 137

Unite.AI

NOVEMBER 17, 2023

Challenges and Considerations Specialized skills and resources are required to build safer apps with AI. Developers should consider how seamlessly AI will integrate into existing development tools and environments. Finding the right balance between automated and manual oversight is vital.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence DevOps Automation 299

Unite.AI

JANUARY 29, 2024

This article explores the implications of this challenge and advocates for a data-centric approach in AI development to effectively combat misinformation. Understanding the Misinformation Challenge in Generative AI The abundance of digital information has transformed how we learn, communicate, and interact.

Generative AI 204

Generative AI Data Quality AI Modeling AI 204

Marktechpost

JUNE 15, 2024

A natural language interface and strong code-based analysis are now possible thanks to recent breakthroughs in AI that eliminate this trade-off. Meet Lightski , an AI-powered startup that lets anyone feel like a data scientist in no time—regardless of their coding skills.

ChatGPT 113

ChatGPT ETL Data Scientist Artificial Intelligence 113

ODSC - Open Data Science

APRIL 2, 2025

Whether an engineer is cleaning a dataset, building a recommendation engine, or troubleshooting LLM behavior, these cognitive skills form the bedrock of effective AI development. Engineers who can visualize data, explain outputs, and align their work with business objectives are consistently more valuable to theirteams.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models ML Engineer 52

IBM Journey to AI blog

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Present the AI strategy Present the AI strategy to stakeholders, ensuring it aligns with business objectives.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

Unite.AI

MARCH 27, 2024

Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability. Addressing bias requires diversifying AI development teams, integrating ethics into algorithmic design, and promoting awareness of bias mitigation strategies.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278

Snorkel AI

JANUARY 22, 2025

Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. In RLHF, data scientists use collected feedback to train a reward model. They use a process called LLM alignment.

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

Unite.AI

FEBRUARY 22, 2024

These strategies not only provide a framework for transparency and accountability, but also serve as the foundation for cultivating ethical practices throughout the entire spectrum of AI development and deployment.

Responsible AI 279

Responsible AI Explainability AI AI 279

Unite.AI

DECEMBER 1, 2023

Alex Ratner is the CEO & Co-Founder of Snorkel AI , a company born out of the Stanford AI lab. Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. This stands in contrast to—but works hand-in-hand with—model-centric AI.

Data Scientist 147

Data Scientist Auto-classification AI AI 147

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

Marktechpost

MARCH 22, 2024

Siloed environment in the data team Of course, there are valid reasons for having these different roles, let alone the need for specialization. However, it is worth noting that: On a real project, the gap between the data scientists and end-users is substantial. Each silo uses different technology stacks.

Data Scientist 131

Data Scientist Python Algorithm AI 131

Unite.AI

OCTOBER 26, 2023

In the past, businesses and consultants would create one-off AI/ML projects for specific use cases, but confidence in the results was limited, and these projects were kept almost exclusively among IT teams. In addition to security implications, AI programs require significant resources and budget.

Generative AI 147

Generative AI Data Scientist AI AI 147

NVIDIA

MARCH 19, 2025

The company expanded its end-to-end AI capabilities by integrating NVIDIA Blueprints into its AI Proving Ground and has made a $500 million commitment to AI development over three years to help speed enterprise generative AI deployments.

Large Language Models 75

Large Language Models Generative AI AI AI 75

ODSC - Open Data Science

FEBRUARY 5, 2025

This problem often stems from inadequate user value, underwhelming performance, and an absence of robust best practices for building and deploying LLM tools as part of the AI development lifecycle. For instance: Data Preparation: GoogleSheets. Model Engineering: DVC (Data Version Control). Evaluation: Tools likeNotion.

AI Developer 52

AI Developer AI Development LLM Data Drift 52