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

Towards AI

MARCH 6, 2024

Today we are covering their latest release, MGIE, which gives us a lot of hints about their AI strategy while, in the meantime, putting a nail in the coffin of the hottest AI job today. However, they are indeed moving, although not in the way most people expect.

AI Strategy 97

AI Strategy AI AI OpenAI 97

IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. Later this year, watsonx.data will infuse watsonx.ai

Metadata 238

Metadata AI Strategy Data Scientist Big Data 238

ODSC - Open Data Science

MARCH 6, 2025

AI has unlocked a world of possibilities, but thats precisely the problem too many options can lead to decision paralysis. Some organizations hold back on their AI strategy framework, unsure which ideas are worth pursuing , while others jump in too quickly, investing in expensive experiments that fail todeliver.

AI Strategy 52

AI Strategy AI AI Automation 52

Unite.AI

JANUARY 9, 2025

Hiring ML/AI engineers and data scientists is particularly difficult, but organizations are finding more success in recruiting general developers. Addressing the Core Challenges One of the most pressing challenges is data security. This complexity can be a barrier for smaller IT teams looking to get started with AI.

AI Chatbots 100

AI Chatbots Chatbots Data Scientist AI 100

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

ODSC - Open Data Science

MARCH 6, 2025

Building Reliable Machine Learning Models: Lessons from BrianLucena In a recent episode of ODSCs Ai X Podcast, Brian Lucena shared his insights on gradient boosting, uncertainty estimation, and model calibrationtopics crucial for building robust machine learningsystems.

Machine Learning 52

Machine Learning Data Science ML Generative AI 52

IBM Journey to AI blog

MAY 9, 2023

Watsonx.governance employs software automation to help strengthen a client’s ability to mitigate risk, help meet regulatory requirements and address ethical concerns without the excessive costs of switching a data science platform, even for models developed using third-party tools.

Data Scientist 276

Data Scientist Machine Learning Automation Metadata 276

ODSC - Open Data Science

MARCH 31, 2025

Gen AI in Asset Management: Use Cases and Lessons from Building an Industry-Specific Copilot Yu Yu, PhD, Director of Data Science at BlackRock Explore how a leading firm in asset management built a specialized generative AI copilot for its domain. Empower your AI strategy and start building smarter agentstoday!

Software Engineer 52

Software Engineer AI AI Large Language Models 52

AI News

SEPTEMBER 26, 2023

AI and machine learning (ML) models are incredibly effective at doing this but are complex to build and require data science expertise. With CustomerAI Predictions now generally available, Twilio Segment is putting the power of predictive AI at marketers’ fingertips.

Big Data 329

Big Data AI AI ETL 329

Unite.AI

JANUARY 17, 2024

Let's explore these domains and their potential uses: Think.AI : This domain is ideal for AI consulting or solutions firms. It symbolizes businesses that are focused on developing and implementing innovative AI strategies. Driven.AI : Suited for companies specializing in AI analytics and automation, Driven.AI

Robotics 245

Robotics Big Data Data Mining Artificial Intelligence 245

Towards AI

MARCH 6, 2025

About the Author Sophia Banton is an AI Solution Lead specializing in Responsible AI governance, workplace AI adoption, and AI strategy in IT. With a background in bioinformatics, public health, and data science, she brings an interdisciplinary approach to AI implementation and governance.

AI 57

AI AI Data Analysis AI Tools 57

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 134

Machine Learning DevOps Data Scientist Data Quality 134

IBM Journey to AI blog

JULY 17, 2023

IBM watsonx.ai: enterprise-ready next-generation studio bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Machine Learning 186

Machine Learning Metadata Automation AI 186

ODSC - Open Data Science

MARCH 12, 2025

Successfully bridging the AI-business gap requires asking the right questions, defining value, managing risk, and making informed decisions. If you want to dive deeper into AI strategy, business alignment, and the latest in machine learning, join us at ODSC East in Boston!

ML 52

ML Machine Learning AI AI 52

ODSC - Open Data Science

DECEMBER 27, 2024

AI Supercycle Fuels Investor Confidence Market analysts attribute the recent surge in Apple shares to heightened optimism about the companys AI strategy. The PathAhead While Apples AI strategy is still taking shape, investor confidence suggests the company is poised for sustained growth.

AI Strategy 40

AI Strategy Artificial Intelligence Artificial Intelligence AI 40

DataRobot Blog

JUNE 1, 2022

DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Whether you’re just learning about the power of AI or already in production and planning your long-term AI strategy, DataRobot AIX has something for everyone. Data Scientist-Driven Breakout Sessions.

Data Scientist 119

Data Scientist AI Strategy Machine Learning AI 119

NVIDIA

SEPTEMBER 25, 2023

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? They’ll need access to AI systems and data to identify and act on new threats as well as help building solid working relationships with data science staff.

Neural Network 137

Neural Network Machine Learning AI AI 137

IBM Journey to AI blog

FEBRUARY 8, 2023

The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

ODSC - Open Data Science

FEBRUARY 19, 2024

Learn about cutting-edge developments in AI and Data Science from the experts who know them best on ODSC’s Ai X Podcast. In this episode, Sheamus McGovern, hosts Director of AI Innovation and AI trailblazer, Laurence Liew, on a fascinating journey into the heart of AI innovation in Singapore and beyond.

Data Science 52

Data Science Large Language Models AI Strategy Data Scientist 52

AWS Machine Learning Blog

MARCH 5, 2025

Satyam Saxena is an Applied Science Manager at AWS Generative AI Innovation Center team. He leads Generative AI customer engagements, driving innovative ML/AI initiatives from ideation to production with over a decade of experience in machine learning and data science.

Generative AI 100

Generative AI Machine Learning Data Scientist AI 100

ODSC - Open Data Science

MAY 2, 2024

Dubbed “OpenELM” for “Open-source Efficient Language Models,” this Apple AI model offers a glimpse into the potential AI-driven features of future iPhones. With this release, Apple, traditionally reticent about its AI strategies, has taken a significant turn.

AI Modeling 52

AI Modeling Data Science AI Strategy AI 52

ODSC - Open Data Science

MARCH 8, 2024

There, the tech giant is preparing to showcase a series of generative AI-based tools, that should showcase its new AI strategy. The news comes a few months after reports detailing Apple’s lag in the generative AI space. A key aspect of Apple’s AI strategy involves strategic partnerships and technological innovation.

Data Science 52

Data Science AI Strategy Software Development Generative AI 52

Unite.AI

AUGUST 26, 2024

When I was at The Jet Propulsion Laboratory, my work focused primarily on large scale data management for NASA missions. Not only did I learn a lot about data science, but also large-scale engineering project management, balancing risk and error budgets, and large-scale software systems design.

Computer Vision 162

Computer Vision AI AI Large Language Models 162

Pickl AI

SEPTEMBER 26, 2024

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. Data Science Proficiency : Skills in Data Analysis, statistics, and the ability to work with large datasets are critical for developing AI-driven insights and solutions.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Strategy Machine Learning 52

ODSC - Open Data Science

OCTOBER 21, 2024

This session is crucial for understanding the tools and design approaches necessary to build production-ready AI for enterprises. The Evolution of Data Science in the AI Era Jure Leskovec, Co-founder and Chief Scientist at Kumo.AI and Professor at Stanford University, challenges the traditional data science paradigm.

Generative AI 52

Generative AI Large Language Models Data Science Software Engineer 52

AWS Machine Learning Blog

FEBRUARY 26, 2025

At the core of this strategy is Amazon Elastic Container Store (Amazon ECS) with GPU support, which handles the computationally intensive tasks of natural language processing and data science. To manage the complex flow of data between various AWS services, Pattern employs Apache Airflow.

Natural Language Processing 65

Natural Language Processing Prompt Engineering Prompt Engineer AI 65

ODSC - Open Data Science

JANUARY 2, 2024

Take a deep dive into watershed technologies like Large Language Models, Generative AI, and more with a full day of talks and panels. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

Data Science 52

Data Science Large Language Models Big Data Data Quality 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. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 52

Data Science Data Scientist Automation Generative AI 52

IBM Journey to AI blog

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Neural Network 256

Neural Network LLM Algorithm NLP 256

IBM Journey to AI blog

AUGUST 7, 2023

This results in many groups using a large gamut of AI-based tools that are not fully integrated into a cohesive system and platform. Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships.

Algorithm 175

Algorithm AI AI Artificial Intelligence 175

Kavita Ganesan

SEPTEMBER 9, 2022

As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem. The data science team agreed to the data collection task without making any promises on “models.”

Data Scientist 52

Data Scientist Software Engineer AI Strategy Machine Learning 52

ODSC - Open Data Science

MARCH 5, 2024

Because of this, the expected CAGR of both computer chips and AI-powered software is predicted to see a massive jump in growth above thirty percent through 2031. Worldwide, these entities are recognizing AI’s strategic importance, launching national AI strategies, and funding research.

Data Science 52

Data Science Machine Learning Responsible AI NLP 52

Marktechpost

AUGUST 16, 2024

The accuracy and efficiency of retrieval systems are critical in the significantly advancing field of data science. Sifting through data effectively becomes more dependent on advanced algorithms as it grows larger and more complicated.

Natural Language Processing 57

Natural Language Processing Algorithm Metadata Data Scientist 57

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. Snorkel Flow supports collaboration between subject matter experts and data science teams end-to-end.

ChatGPT 52

ChatGPT Conversational AI Data Scientist AI 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. Snorkel Flow supports collaboration between subject matter experts and data science teams end-to-end.

ChatGPT 52

ChatGPT Conversational AI Data Scientist AI 52

Wisdom Works

JUNE 17, 2021

This opportunity to train staff with AI and Machine Learning technologies will be a significant benefit to the organisation in the long term, as more and more applications and systems look to benefit from data science and analytics techniques that leverage predictive capabilities.

Machine Learning 52

Machine Learning AI AI Data Science 52