Technology Implementation
The Human Factor in AI-Based Decision-Making
New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.
New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.
To reduce ethical lapses, organizations need systems for anticipation and systems for resilience.
This free webinar offers expert advice on adopting AI today and preparing for tomorrow’s challenges.
Learn about technical readiness for AI in this free webinar with experts from IDC, Grupo Financiero Banorte, and SAS.
This webinar describes identifying AI use cases – and recognizing when AI isn’t the best answer.
Deloitte thought leaders discuss how to develop a holistic approach to the ethical use of technology.
A new article series explores how organizations must manage and monitor technology in new ways to achieve positive ethical outcomes.
No-code software development platforms enable nontechnical teams to create and deploy simple apps quickly.
Executive Conversation: TCS and Travelport executives discuss a new era for the travel industry.
This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.
Monolithic, highly interdependent organizations can become modular ones by embracing microservices.
For competitive advantage, embrace digital marketing, a Google-sponsored Forrester survey advises.
This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.
A new interview series will offer lessons to help leaders manage their teams, navigate complexity, and adapt to change.
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
Assessing effective frameworks, managing the risks of digital personas, and benefiting at work from volunteerism.
The technology for creating deepfakes offers the potential for companies to build positive customer experiences.
This Strategy Guide offers expert advice on assessing your organization’s business readiness for AI.
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.
Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.