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. It needs regular checkups.

Explainability 111

Explainability Explainable AI AI AI 111

AWS Machine Learning Blog

FEBRUARY 21, 2025

This also led to a backlog of data that needed to be ingested. Steep learning curve for data scientists: Many of Rockets data scientists did not have experience with Spark, which had a more nuanced programming model compared to other popular ML solutions like scikit-learn.

Data Science 67

Data Science Data Scientist Data Ingestion DevOps 67

AWS Machine Learning Blog

JANUARY 29, 2025

This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

Auto-complete 121

Auto-complete Generative AI Data Scientist ML 121

DataRobot Blog

JUNE 1, 2022

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. We know that delivering AI is a team effort, so we invite you to bring your whole team. Breakouts for Business Leads.

Data Scientist 119

Data Scientist AI Strategy Machine Learning AI 119

ODSC - Open Data Science

FEBRUARY 8, 2024

This is a recipe for developing a strategy for incorporating AI into products. An AI strategy is a framework that will help the organization understand what data-driven projects and data sources are the most valuable to the organization, and how to prioritize them to build toward their product vision over time.

AI Strategy 52

AI Strategy Data Science Data Scientist AI 52

IBM Journey to AI blog

JULY 24, 2024

Organizations are increasingly adopting hybrid cloud solutions that blend the strengths of private and public clouds, particularly beneficial in data-intensive sectors and companies embarking on AI strategy to fuel growth.

Computer Vision 173

Computer Vision Data Scientist AI Strategy Machine Learning 173

Unite.AI

JUNE 27, 2024

Rethinking the CFO's Role in an AI-driven World “AI is prompting CFOs to reimagine not only their day-to-day working practices, but the possibilities for the operational and strategic financial analysis and decisions.” To achieve this, CFOs must shift their self-perception from accountants to data scientists.

Data Scientist 157

Data Scientist AI AI Automation 157

AWS Machine Learning Blog

MARCH 5, 2025

His goal is to establish reliability and data engineering best practices consistently across the organization and to position the BMW Group as a leader in data-driven observability within the automotive industry and beyond. Luisa-Sophie Gloger is a Data Scientist at the BMW Group with a focus on Machine Learning.

Generative AI 94

Generative AI Machine Learning Data Scientist AI 94

ODSC - Open Data Science

MARCH 31, 2025

Whether youre building with large language models (LLMs), deploying real-time decision systems, or leading AI integration at the enterprise level, understanding how agents are designed, evaluated, and scaled is becoming essential. Empower your AI strategy and start building smarter agentstoday!

Software Engineer 52

Software Engineer AI AI Large Language Models 52

DataRobot Blog

MARCH 16, 2023

Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists. It is a time-intensive process that can slow the adoption of AI across an organization. For example, generating code to prepare data as well as train and deploy a model.

Data Science 98

Data Science OpenAI Data Scientist Large Language Models 98

Unite.AI

OCTOBER 10, 2024

Beyond hardware, OpenAI incurs significant costs in staffing, as recruiting and retaining specialized AI talent, such as researchers, engineers, and data scientists—comes with highly competitive salaries, often higher than those in other tech sectors. OpenAI faces additional pressure from its reliance on cloud computing.

OpenAI 144

OpenAI Data Scientist ChatGPT Natural Language Processing 144

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities.

Machine Learning 186

Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

FEBRUARY 27, 2024

Each product translates into an AWS CloudFormation template, which is deployed when a data scientist creates a new SageMaker project with our MLOps blueprint as the foundation. These are essential for monitoring data and model quality, as well as feature attributions.

Machine Learning 129

Machine Learning DevOps Data Scientist Data Quality 129

IBM Journey to AI blog

JUNE 28, 2023

IBM delivers this to our business partners through Operating Model Transformation , Tech and Data/AI Strategy , AI at Scale and Genomics Data Architecture offerings.

Data Analysis 186

Data Analysis Data Scientist Explainable AI AI Strategy 186

ODSC - Open Data Science

MARCH 6, 2025

AI & Data Science Survey Report: 2025 Trends & Insights KeyFindings The findings from our recent AI & Data Science Survey report offer a glimpse into the key trends for 2025, revealing opportunities and challenges for individuals and organizations alike. The ODSC East 2025 Preliminary Schedule isLIVE!

Machine Learning 52

Machine Learning Data Science ML Generative AI 52

Kavita Ganesan

SEPTEMBER 9, 2022

Plus, if the project had gone on for an entire year, the data scientists would have been paid to solve a problem that a single contracted software engineer could’ve solved. More importantly, these data scientists could’ve been working on high-impact AI initiatives.

Data Scientist 52

Data Scientist Software Engineer AI Strategy Machine Learning 52

IBM Journey to AI blog

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Neural Network 256

Neural Network LLM Algorithm NLP 256

IBM Journey to AI blog

JULY 19, 2023

In the AI domain, IBM has 21K+ data Scientists, AI Engineers, and consultants and has executed 40K+ AI and analytics engagements. But with great power comes great responsibility, and this is especially true for generative AI.

Generative AI 183

Generative AI Large Language Models AI AI 183

Pickl AI

SEPTEMBER 26, 2024

Developing Roadmaps: They create strategic plans detailing how AI will be integrated into the organisation, including timelines, resources required, and expected outcomes. Collaboration: Working closely with data scientists, engineers, and business leaders is essential to ensure that AI solutions align with organisational goals.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Strategy Machine Learning 52

Towards AI

JUNE 5, 2023

.✓ The goal should be to automate all aspects, from data acquisition and processing to training, deployment, and monitoring. Collaboration✓ The system should promote collaboration between data scientists, engineers, and the operation team.✓ A significant amount of data scientist time goes into this activity of data exploration.

ML 52

ML Data Scientist Automation Algorithm 52

ODSC - Open Data Science

FEBRUARY 19, 2024

In this wide-ranging discussion, Sheamus and Laurence Liew delve into several topics, starting with Singapore’s new AI strategy, National AI Strategy 2.0, and the ways the rise of Generative AI and Large Language Models have influenced its development.

Data Science 52

Data Science Large Language Models AI Strategy Data Scientist 52

DataRobot Blog

MAY 12, 2022

Numerous government agencies recognize the opportunity with AI. In 2020, the Department of Homeland Security (DHS) published its AI Strategy to help guide AI adoption as a department while also managing and mitigating risks. AI Cloud for Public Sector. See How DataRobot Delivers on the Promise of AI in Government.

AI Strategy 52

AI Strategy Data Scientist Explainable AI Visual AI 52

AWS Machine Learning Blog

AUGUST 26, 2024

Foster continuous learning – In the early stages of our generative AI journey, we encouraged our teams to experiment and build prototypes across various domains. This hands-on experience allowed our developers and data scientists to gain practical knowledge and understanding of the capabilities and limitations of generative AI.

Generative AI 117

Generative AI LLM AI AI 117

AWS Machine Learning Blog

JANUARY 29, 2025

This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

Auto-complete 100

Auto-complete Generative AI Data Scientist ML 100

AWS Machine Learning Blog

FEBRUARY 11, 2025

Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. On the endpoint details page, choose Delete. Choose Delete again to confirm. models today.

Computer Vision 80

Computer Vision ML Python Automation 80

ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Cloudera For Cloudera, it’s all about machine learning optimization.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Hence, users are not required to download sensitive training data or even models to their local machine.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

ChatGPT 52

ChatGPT Conversational AI Data Scientist Explainability 52

Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

ChatGPT 52

ChatGPT Conversational AI Data Scientist Explainability 52

Kavita Ganesan

JUNE 28, 2022

Even though in the past, data scientists have taken pride in using the most sophisticated techniques to demonstrate expertise, data scientists are becoming more problem-focused. To that end, I’m seeing many data scientists and leaders talk about the ethics and implications of algorithms.

Data Scientist 52

Data Scientist Algorithm AI AI 52

DataRobot Blog

FEBRUARY 15, 2023

Enterprises see the most success when AI projects involve cross-functional teams. For true impact, AI projects should involve data scientists, plus line of business owners and IT teams. In such a hot market, how can teams leverage AI to ensure that they are assessing the right values in their respective markets?

Data Scientist 52

Data Scientist Data Drift Automation AI 52

ODSC - Open Data Science

SEPTEMBER 19, 2023

AI Adoption Learn strategies for effective AI integration in business operations, efficiency, innovation, and competitive edge. Discover best practices for navigating challenges and driving success in AI adoption.

Data Science 52

Data Science Data Scientist Automation Generative AI 52

AWS Machine Learning Blog

APRIL 7, 2025

Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. Search for the embedding and text generation endpoints. Choose Delete again to confirm.

Machine Learning 62

Machine Learning Large Language Models Python Automation 62

Marktechpost

AUGUST 16, 2024

Similarity Search Similarity search is a potent Artificial Intelligence (AI) strategy that focuses on the meaning contained in the information rather than only employing keywords. Similarity search finds relevant matches by comparing the conceptual substance of the data, as opposed to keyword search, which matches precise terms.

Natural Language Processing 56

Natural Language Processing Algorithm Metadata Data Scientist 56

ODSC - Open Data Science

OCTOBER 21, 2024

This summit brings together some of the brightest minds in the field, showcasing groundbreaking advancements and practical applications of generative AI. This talk focuses on the often-overlooked processes related to compliance, quality, and scale.

Generative AI 52

Generative AI Large Language Models Data Science Software Engineer 52

AWS Machine Learning Blog

MAY 1, 2024

Using the Neuron Distributed library with SageMaker SageMaker is a fully managed service that provides developers, data scientists, and practitioners the ability to build, train, and deploy machine learning (ML) models at scale. Using PyTorch Neuron gives data scientists the ability to track training progress in a TensorBoard.

ML 106

ML Auto-complete Deep Learning Generative AI 106

AWS Machine Learning Blog

MAY 9, 2024

Envision an AI strategy With the objective to drive business outcomes, establish a compelling multi-year vision and strategy on how the adoption of AI/ML and generative AI techniques can transform major facets of the business.

ML 123

ML Generative AI AI AI 123