Digital transformation is the term of the year, maybe even decade. It was certainly driven by the COVID-19 pandemic as organizations, schools and healthcare providers scrambled to adapt and provide services in new ways. This interesting topic came to us from Venture Beat in their article, “Digital transformation in tough times: 4 innovative examples powered by data, AI and flexible infrastructure.”
Even without the pandemic, the last two years have offered plenty of new pressures to solve complex problems and do things differently.
The focus is on infrastructure. To respond effectively, infrastructure needs to be flexible, scalable, highly secure and optimized for real-time data analytics and machine learning.
Digital transformations are even more difficult than traditional change efforts to pull off. Years of research on transformations has shown that the success rate for these efforts is consistently low, less than 30 percent succeed. Embracing emerging technologies is key to success.
Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
