With the introduction of Google's Tensor Flow federated, the hype around federated machine learning is surging. But there are important questions about data privacy, performance and cost that need answering.
Digital twins are amongst the most hyped technologies in recent years. It's time for a critical look at the possibilities - and drawbacks - of digital twins for modern medicine.
AI-for-AI is gaining attention - but is the capacity for embedding AI for data productivity overlooked? Let's do a gut check on the views of industry experts.
One of AI's major stumbling blocks is explainability. But can we address AI's black box by evaluating outcomes? One example from the insurance industry pushes this debate forward.
Tech-for-good news from a data-for-good skeptic - how two Sisense customers use BI to save organs and lives
Even during the holiday season, the feel-good platitudes of the data-for-good movement can be hard to take. But real world stories of companies using BI tools to save lives? That's another matter entirely.
Facial recognition technology has an ominous reputation - and for good reason. But are there beneficial applications? Athena Security and D-ID believe the answer is yes. Here's my take on our recent discussions.
At Tableau Conference 2019, Tableau made it clear they aren't just a BI vendor anymore. Two new tools, Explain Data and Ask Data, deserve a deeper look.
Data warehousing stalwart Teradata is in the midst of a provocative and difficult transformation. Here's my take on how they are re-positioning around analytics, big data and cloud.
Beyond the evil facial recognition myth - can AI play an ethical role in predictive threat detection?
The stories on facial recognition advances lean strongly towards the concern side, with a host of consequences poorly addressed during rollouts. But is there an AI-for-good role in threat prediction?
The time has come think critically about the value of AI as it stands, and whether to be concerned that a concerted effort to press it forward to true intelligence bypasses ethical questions.
What can you do with 1,000,000,000,000,000,000 Floating-point calculations per second (EXAflops)? Simulate nuclear weapons? Yes. Cure cancer? Maybe...