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RPA: The Ride is Bumpy When Scaling Up
Robotic Process Automation (RPA) speeds up and makes workflows more efficient. Gartner says that RPA was the fastest-growing technology in 2018, and Forrester says that RPA software sales will reach $2.4 billion in 2020. but businesses often struggle when trying…
Data Quality: Poor Quality Impacts AI and Analytics Projects
Data prep is essential to effectively using data-based tools like Data Analytics, Big Data, Machine Learning and AI, as discussed in yesterday’s post. A recent study by O’Reilly backs up the importance of data quality. The O’Reilly report finds few…
Data Prep: The 80% Drudge Factor Holding Back Analytics
GIGO — Garbage In, Garbage Out — simply means that data analysis and decision making based on poor raw data or information will necessarily result in a flawed analysis. The need for accurate data is increasingly important as businesses adopt…
Bot Consumers: Selling on Data Rather than Emotion
AI and Robotic Processing are making it ever more possible for humans to delegate their chores to personal bots. Over the next years, personal assistants/bots and Internet of Things devices. Gartner estimates that this year about 5 percent of digital…
Enterprise Software: Working Remotely Requires Robust Digital Infrastructure
The COVID-19 crisis has forced business conventions to change as employees shifted to remote work. Once the crisis is over, nearly three-quarters of CFOs say that they expect that previously on-site employees will continue to work from home, according to…