The rapid proliferation of data and analytics tools in recent years has provided data analysts and…
As businesses around the world expand AI and machine learning (ML) efforts, one key challenge has…
Over the past decade, many cities have launched huge (and hugely expensive) "smart city" initiatives. In…
We've already established there are vital business cases to be made to accelerate edge computing. But…
Evolving global data privacy and consumer protection laws make it important for companies to protect sensitive data from acquisition through its use in AI models.
IoT offers a way to remotely monitor and manage medical devices, and can enable new business models for device manufacturers.
Edge is considered the catalyst for a lot of emerging technologies, such as LiDAR, drones, traffic management, and wind turbine control.
AutoML makes AI more accessible by automating complex manual data science processes. But there are caveats to its use. Here are the top 5 myths and realities about AutoML.
In the news this week: More companies offer AI-based software to enable safe return to work environments, Intel and Informatica separately launch AI educational initiatives, and more.
If edge computing capabilities can be woven into the very fabric of our cities, this might come to revolutionize the way we interact with them.
Artificial intelligence could be a way to cut through long research and development timelines to deliver a competitive advantage.
The switch to online and mobile services presents challenges for banks to replicate in their digital offerings the personal touch of face-to-face interactions.
With people around the world feeling the lingering impacts of COVID-19, creating authentic touchpoints across the brand experience is essential.
A way to prevent a disconnect between the model and the business is through explainable AI, which can address the reasoning behind why AI decisions are made.
In the news this week: Deloitte launches an AI institute and IBM, HPE, Salesforce, and Siemens introduce offerings to help businesses safely return to work.
Companies that can leverage services that offer flexibility and adaptability are more likely to find success and create value in new markets.
The goal is to dramatically improve the trustworthiness of the data being relied on to prescriptively automate business processes in real time.
The goal of the system is to encourage individuals to talk about any difficulties they may have encountered due to the pandemic.
Building stronger data supply chains will ultimately create a positive impact for the business and its key stakeholders.
In the post-pandemic “new normal,” AI-driven intelligence will enable enterprise HR personnel to dynamically assess the operational costs, security risks, and productivity trade-offs associated with having employees work out of shared offices.
IDC sees connected oil field exploration, freight monitoring, and public safety response as the three areas with the highest propensity for edge deployment.
If you’re a small business and you are not ready for a major technology investment, you can still benefit from AI solutions using various budget-friendly solutions.
Similar to the way bats avoid obstacles, the sensors use echolocation to create a picture without any identifying data so that privacy is protected.