Tired of distractions around the home office? Need some encouragement from the "boss"? Artificial intelligence could one day come to the rescue
"Conversational AI is," writes Rob Enderle in
"at heart, a new interface in computing where the computer learns how to best work with a human rather than the reverse. While primarily focused for now on tele-sales, it has several other potential uses, including personal tutors or virtual bosses. Being a digital boss myself, this last may be particularly critical during the pandemic because those working from home can get distracted by things that might not have been intrusive when in the office..."
The pandemic caught many companies unprepared and gave them new pressure to increase their efforts to serve customers and employees through digital acceleration
Diego Lo Giudice, writes for Forrester
"Future fit organizations responded with utmost creativity by pivoting quickly to new business models while supporting existing customers. They optimized and automated processes and reorganized their workforce to adapt to the new context. And they quickly adopted new technologies that helped them become more resilient. Will all of the urgency brought about by the pandemic just disappear?
Based on past pandemic events, scientists say that, on average, 50% of what changes during a pandemic stays. Pandemics prove that humans and organizations change quickly when put under pressure. Forrester believes that in the digital world, businesses must and will keep most of the changes made during the pandemic going forward..."
As the number of industries integrating artificial intelligence (AI) into their operations continues to grow, more organizations are scrutinizing their AI system design workflows, including the roles of modeling and data
"Within the workflows, organizations are finding and confirming that starting with good data plays the largest role in producing accurate insights, writes David Willingham
"That is because when the data is fed into a model, it shapes how the model analyzes, learns, and arrives at its decisions. If that model is forced to analyze substandard data, its insights will be substandard. Conversely, if the model is fed the most accurate and useful data available, its insights will be useful.
So how does one ensure the data fed into an AI model is the best available?..."
MLOps is the art and science of bringing machine learning to production, and it means many things to many people. The State of MLOps is an effort to define and monitor this market
"How is the MLOps market defined, what should you be looking for if you want to address MLOps in your organization, and what are the options?" asks George Anadiotis in ZDNet
These are all highly relevant questions to operationalize machine learning -- and not just because MLOps is hitting peak (Gartner) hype. A few people are trying to address those in the Gartners of the world and beyond.
Ori Cohen and Lior Gavish are among them. Their opinion counts because they are both machine learning practitioners with years of experience whose daily job touches upon various aspects of MLOps..."
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