摘要： Machine learning models can perform wonderful things—if they have enough training data. Unfortunately, for many applications, access to quality data remains a barrier.
摘要： While most no-code solutions can be used to develop applications, some companies are hesitant to implement them for security and reliability reasons.
摘要： Advanced analytics provider Alteryx's Trifacta acquisition and new lineup of cloud-native technologies is steering the company where machine learning, AI, and other analytics are headed -- the cloud.
摘要： Wherever you are, whatever your focus, there’s no avoiding the European Union’s emerging regulation on user privacy and compliance in artificial intelligence systems.
摘要： Low-code is the latest hype and everyone seems eager to jump on the bandwagon after the promising numbers presented by Gartner and Forrester. Low-code is presented as this end-all, be-all in the development world, bringing along these clickbait titles such as “The era of coding is ending”. This always makes me chuckle a bit, because who do you think is coding those low-code platforms then?
摘要： Data governance is becoming increasingly essential as businesses confront new data privacy regulations and rely more on data analytics to optimize operations and make business decisions.
