AI is Ready for Business, but are Businesses Ready for AI?
Addressing shortcomings in data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Addressing shortcomings in data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among …
In this week's real-time analytics news: Oracle added to its offerings related to analytics, AI, and data management.
SoC designers face a variety of challenges when balancing specific computing requirements with the implementation of deep learning
The new robots leverage modern mobility standards, and both the platform and arm are rated cleanroom class ISO 3.
An AI document forensics solution improved fraud detection at an online mortgage broker by 30 percent, alongside reducing workload for
When chatbot personalization is done right, enterprise chatbots provide the best and fastest solution to specific issues rather than a solution to previous …
The misunderstandings business leaders have about the inner workings of AI and machine learning processes could continue to hamper adoption.
The solution uses a module that incorporates more data to perceive the surrounding
Although public perception is changing, there’s still a serious disconnect. The public today still isn’t quite sure what positive benefits AI brings to …
With the recent disruptions, logistics professionals were finally on the hot seat to re-evaluate critical supply chain processes with goals to uncover …