... Data and analytics leaders must reduce project turnaround times and costs, and ensure data scientists focus on high-impact tasks. This can be done by leveraging generative AI for tasks such as code, document and synthetic data generation, feature engineering and model deployment. Overview Introduction ...
Analyst(s): Diarmuid Curran | Kurt Schlegel
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... production. Datascience, ML and AI leaders can use this research to help assess which platforms deliver AI solutions best fit for their enterprise’s needs. Overview What You Need to Know Analysis Alibaba Cloud Altair Alteryx Amazon Web Services Cloudera Databricks Dataiku DataRobot Domino Data Lab Google ...
... heads of: Data and analytics Data management Data governance Master data management (MDM) Data platforms AI/GenAI initiatives Data enablement Datascience and machine learning (DSML) Analytics and business intelligence (BI) Digital transformation (DX) Technical domains: Data analysts Data scientists ...
... best practices. Advanced Analytics, DataScience, and AI in Finance Finance D&A Governance, MDM, and Data Integration Financial Analysis and Reporting Finance Metrics, Insights and Storytelling Finance Data and Analytics Strategy Financial Planning and AI-Ready Data Bachelor's Degree, Magna cum Laude ...
... DataRobot Domino Data Lab Google H2O.ai IBM KNIME MathWorks Microsoft Posit SAS Planning and Design Data Preparation Data Exploration and Visualization DataScience Techniques Machine Learning User Interaction Notebook Development Model Consumption Collaboration Expert DataScience Teams Line-of-Business ...
Analyst(s): Peter Krensky | Jim Hare | Afraz Jaffri | Maryam Hassanlou | Raghvender Bhati | Tong Zhang | Aura Popa
... Analytics and datascience is undergoing significant evolution driven by technological advancements, particularly AI. This evolution necessitates a shift in the responsibilities and challenges faced by D&A leaders, requiring them to expand from technologists to business strategists as well. Insights ...
... intelligence is a natural extension from analytics and business intelligence and datascience and machine learning practices. Incorporating decision intelligence in the data and analytics life cycle shifts the focus from data and insights to cause and effect and connecting value streams. Insights at a Glance ...
... AI ambitions as you explore and commit to different AI opportunities. Close the DataScience Talent Gap by Hiring and Upskilling Internally Read this case study to learn how Eastman drove value and overcame datascience talent challenges in a competitive market. ...
... Gartner Expert Director, Data Insights & Innovation Adriel Tey is a data analyst on the Quantitative Analytics & DataScience team. His research area covers advertising and marketing technologies, and is focused on building insights and recommendations that help companies achieve marketing objectives ...