Technology Innovation Strategy
The Pursuit of AI-Driven Wealth Management
Many organizations have challenges with deploying AI. Wealth management is a clear exception.
AI & Machine Learning
Latest
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.
Content Sponsored by SAS
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.
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.
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.
Skills & Learning
How HR Leaders Are Preparing for the AI-Enabled Workforce
Companies are taking different approaches to preparing their workers for the digital future.
Data & Data Culture
Execs Bullish on AI but Wary of Data Leadership
Only a third of data executives feel that their role is “successful and established.”
Analytics & Business Intelligence
Why So Many Data Science Projects Fail to Deliver
Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.
Leadership Skills
The Best of This Week
Planning for the post-pandemic workplace, managing hybrid teams, and optimizing your organization for AI.
AI & Machine Learning
Progress Toward the Intelligent Enterprise
To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.