AI & Machine Learning
Achieving Return on AI Projects
Six strategies can help guide data science teams toward greater success in cross-unit projects.
Artificial Intelligence
Latest
Data & Data Culture
AI and the COVID-19 Vaccine: Moderna’s Dave Johnson
Moderna’s chief data and AI officer explains how AI helped the pharma company develop a COVID-19 vaccine in record time.
Content Sponsored by SAS
Assessing AI Readiness: Planning for Today — and Tomorrow
This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.
Technology Innovation Strategy
The Pursuit of AI-Driven Wealth Management
Many organizations have challenges with deploying AI. Wealth management is a clear exception.
Ethics
Starting Now On Technology Ethics: Elizabeth Renieris
Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.
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Technical Readiness for AI: What Your Organization Needs to Know
This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.
Analytics & Business Intelligence
No Need for AI Unicorns: PepsiCo’s Colin Lenaghan
PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.
Automation
How to Establish an Automation Center of Excellence
A dedicated team can help maximize the utility — and competitive advantage — of automation systems.
Digital Marketing
DIY With AI: The Home Depot’s Huiming Qu
Home Depot’s Huiming Qu discusses how the home improvement retailer leverages AI to improve the customer experience.
Technology Implementation
Taming AI’s Can/Should Problem
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
Innovation Strategy
Prototypes, Pilots, and Polymers: Cooper Standard’s Chris Couch
The Me, Myself, and AI podcast delves into how automotive supplier Cooper Standard uses open innovation to leverage AI.
Technology Innovation Strategy
Embracing AI When Your Industry Is in Flux
Dramatic changes within the life sciences industry present unique opportunities to use AI.
AI & Machine Learning
Business Scents: The Rise of Digital Olfaction
Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.
Technology Innovation Strategy
Creating Valuable (and Trusted) Experiences With Digital Personas
The technology for creating deepfakes offers the potential for companies to build positive customer experiences.
IT Governance & Leadership
Designing a Better Future: Mastercard’s JoAnn Stonier
JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.
Content Sponsored by SAS
Business Readiness for AI: What Your Organization Needs to Know
This Strategy Guide offers expert advice on assessing your organization’s business readiness for AI.
Platforms & Ecosystems
Learning, Engagement, and Empowerment: 1-800-Flowers’ Amit Shah
Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.
Talent Management
When You Reject People, Tell Them Why
Employers can vet people more ethically and accurately with explainable AI.
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.
Content Sponsored by SAS
Pinpointing the Problems: Which Ones Are Right for AI?
This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.