AI & Machine Learning
AI-at-Scale Hinges on Gaining a ‘Social License’
Businesses must build trust with all stakeholders if their AI implementations are to succeed.
AI & Machine Learning
Latest
Ethics
Why ‘Explicit Uncertainty’ Matters for the Future of Ethical Technology
To address algorithms’ potential harm, companies must be willing to focus on users and rethink their business models.
Content Sponsored by SAS
Adopting AI: Putting the Pieces Together
This free webinar offers expert advice on adopting AI today and preparing for tomorrow’s challenges.
Content Sponsored by SAS
Adopting AI: Ensuring Technical Readiness
Learn about technical readiness for AI in this free webinar with experts from IDC, Grupo Financiero Banorte, and SAS.
Content Sponsored by SAS
Adopting AI: Ensuring Business Readiness
In this webinar, experts from Kaiser Permanente, Accenture, and SAS discuss business readiness for AI.
Content Sponsored by SAS
Adopting AI: Picking the Right Problems to Solve
This webinar describes identifying AI use cases – and recognizing when AI isn’t the best answer.
Content sponsored by Tata Consultancy Services
Ethical AI: A New Strategic Imperative for Recruiting and Staffing
Randstad and TCS executives offer insights on ethical use of AI for recruiting and hiring.
IT Governance & Leadership
Portrait of an AI Leader: Piyush Gupta of DBS Bank
DBS Bank’s CEO exemplifies how a willingness to experiment and even fail can help advance new technologies like AI.
Content Sponsored by EY
AI Ethics: What Leaders Must Know to Foster Trust and Gain a Competitive Edge
This Strategy Guide shares insights on AI use for strategic advantage and positive societal impact.
Remote Work
The Best of This Week
Seven steps to addressing burnout, an intersectional approach to mitigating bias in AI, and running mixed-mode meetings.
AI & Machine Learning
Real Talk: Intersectionality and AI
In artificial intelligence, race and gender too often generate a bias double whammy.
Innovation Strategy
The Digital Twin Opportunity
Developments in enabling technology are opening up more use cases for virtual models of real-world objects.
AI & Machine Learning
Achieving Return on AI Projects
Six strategies can help guide data science teams toward greater success in cross-unit projects.
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.
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.