Data & Data Culture
Tackling Challenges With Data Governance
Mathematica CIO Akira Bell discusses the role of the chief information officer and best practices on data governance.
Data Quality
Latest
Data & Data Culture
How AI Is Improving Data Management
Artificial intelligence is quietly improving the management of data, including its quality and security.
Skills & Learning
From Journalism to Jeans: Levi Strauss & Co.’s Katia Walsh
Katia Walsh discusses how Levi Strauss is upskilling and motivating employees to help drive its digital transformation.
Automation
Choreographing Human-Machine Collaboration: Spotify’s Sidney Madison Prescott
Sidney Madison Prescott explains how Spotify uses AI to free up workers to focus on more value-added, creative tasks.
Data & Data Culture
What’s Holding Your Data Program Back?
New research highlights nine key factors impeding organizations’ ability to advance their data science progress.
Collaboration
Games, Teams, and Moonshots: Google Cloud’s Will Grannis
Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.
Technology Implementation
Less Algorithm, More Application: Lyft’s Craig Martell
Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.
Analytics & Business Intelligence
The Best of This Week
Revolutionary recommendation engines, data access as a leadership priority, and the essentials of successful corporate social justice efforts.
Technology Implementation
The Data Problem Stalling AI
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
Data & Data Culture
Top-Down Leadership for Data: Seven Ways to Get Started
Leaders must focus on quality, build organizational capabilities, and put data to work in new ways.
Analytics & Business Intelligence
Getting Serious About Data and Data Science
To drive major change, companies must link data quality and data science within the organization.
Analytics & Business Intelligence
Building a Winning Data Strategy: An MIT SMR Executive Guide
Companies today are swimming in data — but how do we build a data strategy that creates value?
Content Sponsored by AWS
What Leaders Must Know About Data to Drive Success With Machine Learning
Business leaders must rethink data management to succeed with machine learning.
AI & Machine Learning
People-Centered Design Principles for AI Implementation
MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.
AI & Machine Learning
Three People-Centered Design Principles for Deep Learning
To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.
Content Sponsored by NETSCOUT
How IT Taps Big Data to Optimize Digital Operations and Drive Business Advantage
New research by MIT SMR Connections and NETSCOUT reveals IT leaders’ data analytics priorities.
Content Sponsored by SAS
#MITSMRChat: How to Build Trust With Data, Analytics, and AI
Join MIT SMR Connections and SAS for a Twitter chat on how to make sure your data is trustworthy.
Content Sponsored by SAS
Infographic: How Trust Delivers Value in Data, Analytics, & AI
An infographic highlights research findings on best practices underlying data-driven innovation.
Content Sponsored by SAS
Data, Analytics, & AI: How Trust Delivers Value
New research by MIT SMR Connections and SAS reveals how organizations build trust in analytics.
Analytics & Business Intelligence
The Hidden Side Effects of Recommendation Systems
Recommendation algorithms don’t just reflect consumer preferences — they also shape them.
Showing 1-20 of 25
Next