Latest AI Opinions
No industries have been left untouched by the disruptive impact of COVID-19 and few companies had prepared for the impact this would have on their business. Despite this, companies still needed to make sure they were meeting the demands of their consumers and AI played an integral role in doing so.
Can governments keep up with the fast-changing world of AI, or should managing algorithms be the responsibility of the companies that use them?
What’s next for decision-making in the era of automation? Mohammad Mahdavi, Professor of Data Science at GISMA Business School, explores.
The market for chatbots is growing and their impact on consumer spending habits has been dramatic.
Don’t make the mistake of thinking AI/ML doesn’t apply to you or your industry. Doing so would mean missing out on potentially massive strategic opportunities, from new or growing revenue streams to increased efficiencies throughout your business operations.
Businesses are increasingly under pressure to become data-driven, therefore should be expanding their efforts to democratise access to data across the whole organisation. Those that are serious about maximising the value of their data will push to enable employees at every level to understand and utilise the data at their disposal, so that they can harness critical business insights to inform effective decision making.
When properly applied to the right use cases, machine learning reduces the amount of time spent error-prone manual IT operations, adding significant business value and greatly reducing IT costs.
All signs suggest digital health passports are a matter of when, not if.
Paul Clough, Professor of Search & Analytics at The University of Sheffield and Head of Data Science at Peak Indicators, looks ahead
Is your company ready for the new era of AI and ML-empowered data management? It’s time to strap in, says TIBCO’s Bob Eve.
It would have been impossible to pull off a coordinated, verifiable, safe vaccine delivery without modern tech tools in use and the application of advanced technologies.
Scientists are not about to lose their jobs to more sophisticated artificial intelligence – instead it will help them work even better.