Organizations are under pressure to better leverage their data, and in the face of AI this need is becoming more acute than ever. However, those charged with leading data and analytics often lack the core capabilities and understanding of how to do this effectively. Speak to an Info-Tech expert today who can help you assess and determine how you can shape your data science and machine learning capabilities to meet the increasing demand for data-led value and to help underpin the success of your artificial intelligence aspirations.
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Search Code: 107504
Last Revised: May 9, 2025
Establish an Analytics Operating Model
Create and Manage Enterprise Data Models
Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Establish the Target Operating Model Needed to Execute Your Data Strategy
Establish Data Governance
Build a Data Architecture Roadmap
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build Your Data Quality Program
Mitigate Machine Bias
Design Data-as-a-Service
Define the Components of Your AI Architecture
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
Establish Data Governance – APAC Edition
Foster Data-Driven Culture With Data Literacy
Generative AI: Market Primer
Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
Promote Data Literacy in Your Organization
Define a Data Practice Strategy to Power an Autonomous Enterprise
Assess Your Data Science and Machine Learning Capabilities
Fueling AI Greatness: The Critical Role of Data & AI Literacy
Building the Road to Governing Digital Intelligence
Map Your Data Journey
Launch a Customer-Centric Data-as-a-Product Journey