Platforms & Ecosystems
Why Companies Must Embrace Microservices and Modular Thinking
Monolithic, highly interdependent organizations can become modular ones by embracing microservices.
Managing Technology
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 Provided By Google
Digital Marketing Maturity: The Path to Success
For competitive advantage, embrace digital marketing, a Google-sponsored Forrester survey advises.
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.
Leading Change
Leadership at a Time When Every Company Is a Tech Company
A new interview series will offer lessons to help leaders manage their teams, navigate complexity, and adapt to change.
Technology Innovation Strategy
How a Startup Mindset Brews Innovation at a Global Scale
Tassilo Festetics shares how in-house technology innovation is helping AB InBev enhance its products and service.
Technology Implementation
Taming AI’s Can/Should Problem
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
Technology Innovation Strategy
Embracing AI When Your Industry Is in Flux
Dramatic changes within the life sciences industry present unique opportunities to use AI.
Business Models
The Best of This Week
Assessing effective frameworks, managing the risks of digital personas, and benefiting at work from volunteerism.
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.
Data & Data Culture
Why Less Is More in Data Migration
To make data migration more effective, start with a minimum set of viable data, leave out nice-to-have data, and weigh speed vs. quality.
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.
Content sponsored by Tata Consultancy Services
Toward a Greener Future: Digital Transformation in the Energy Industry
TCS and Halliburton Landmark executives discuss digital transformation in the oil and gas industry.
Security & Privacy
A Comprehensive Approach to Cyber Resilience
Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.
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.
Platforms & Ecosystems
The Best of This Week
Incremental platform scaling, ecosystem development for sustainable success, and competition in platform-based markets.
Platforms & Ecosystems
How Healthy Is Your Business Ecosystem?
Use these metrics and red-flag indicators to boost your chances of business ecosystem success.