Key technologies that form underlying systems for Smart RPA solutions: Key technologies that form underlying systems for Smart RPA solutions: Robotics, Optical Character Recognition (OCR) / computer vision, Process orchestrator / Business Process Management (BPM), analytics, Machine Learning (ML), Natural Language Processing (NLP)
Top technologies / focus areas and their impact on retail
A large proportion of retailers are ignoring the threat from cyber attacks; they need to invest in data security to gain customer trust
Innovation builds a strong base over which digital investments in technology and talent enable development and execution of the right customer strategy. Retailers should focus on four key data strategies to propel business growth.
The growing importance of data & analytics has led to the evolution of the Chief Data Officer (CDO) role
Digital Pinnacle Enterprises™ – the best digitally performing retail organizations – differentiate from the rest in four key areas
Impact potential of next-generation technologies in talent acquisition, including analytics, Natural Language Processing (NLP), Robotic Process Automation (RPA), and Machine Learning (ML).
In the next five years, over half of all talent acquisition tasks can be automated using a variety of technologies including RPA, cognitive & AI, and analytics, among others, either on their own or in combination with one another
Everest Group tracks several AI-based automation technologies
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