Use AI to support your call centre staff or build a Chatbot to provide intuitive, 24hr assistance to your customers.Read about our chatbot at the University of Pretoria
Streamline your data collection process with AI for improved data quality and faster analysis.Read how we helped Anglo American with data capture
Use Google's Vision AI to automatically detect and classify objects in videos and images.Read how we helped Dentsu get data from video
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As the technologies mature, chatbots and virtual assistants will leverage first- and third-party data along with AI and machine learning to offer more personalized, guided experiences.
Forrester forecasts that by the end of 2021, one out of every four remote workers in the US will be
supported by new forms of automation.
Robotic process automation (RPA) bots combined with conversational intelligence and other intelligent automation will handle business tasks often invisible to the home worker.
Sales tools that capture and automatically upload buyer and seller activity data to CRM systems will
finally take sellers out of the data entry game. Sellers will have the time and space to conduct deeper
customer research, cull insights from data, and orchestrate more meaningful interactions with buyers.
AI can surface patterns, guide the seller to the next best action, and identify the buyer’s preferred channel.
Few businesses are without bottlenecks - tedious, manual tasks that take unnecessarily long and yield poor results. Automation can streamline and integrate the tools your staff already use and have a compounding effect on workplace satisfaction, productivity and safety.
Robotic process automation is non-invasive and can be implemented without disturbing existing systems.
Diminish the scope for human error and improve the safety of your workplace.
Automation can reduce human contact with sensitive data and provide clear, honest audit trails.
Reduce the time your employees spend on repetitive tasks and free up time for innovative problem solving.
Lightning-fast data processing and anomaly monitoring with consistent and accurate results.
A reduction in manual errors leads to improved data quality, enabling more reliable analysis.