Technology Implementation
The Data Problem Stalling AI
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.
In this webinar, AI experts from Pure Storage and Nvidiadiscuss a unified plan for implementation.
Companies that change processes to facilitate organizational learning with AI realize the biggest business value.
Companies can deliver services more efficiently as modular tasks that can be shifted among global teams and locations.
Leaders’ implicit biases toward new technology can cause them to make poor investment decisions.
Returning “boomerang” CEOs, job crafting, and working with robots.
Despite advances in automation, good people and good techniques remain essential to manual work.
The ease with which consumers have adapted to rapid change signals a future of more disruption.
A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.
In a virtual work environment, organizations must reassess their cybersecurity risk profile and IT strategy.
Ask these four questions to determine whether your AI system is really an AI solution.
Cognitive automation could help managers make better decisions more quickly in the wake of COVID-19.
Recent research from BCG and PTC illustrates the power of using augmented reality (AR) and internet of things (IoT) technology together.
Understanding how cybersecurity and cyber resilience differ is key to effectively responding to cyberthreats.
No amount of tech investment can outweigh closing the human performance gap — the best defense against cyberattacks.
This infographic highlights research findings on technology governance issues key to implementing trusted AI.
How to boost innovation capacity and institutional pride, and addressing tech inequity and the ethics of automation.
Companies must think critically about how to address the issue of technology access and inequity throughout the COVID-19 crisis.
The threat of voice-based cybercrime is growing along with the use of voice-directed digital assistants.