How we change this world
Our AI services are designed to drastically impact certain use-cases in a way beyond the 'typical' applications of process automation and the use of predictive ML models, allowing our clients to maximize the results from their AI initiatives whether they are run in the cloud, on-premises or at the edge
This key service helps your team capture and transfer their experienced and accumulated knowledge, combine it with the experience of Area99 pre-trained machine learning models and transfers that knowledge to your new AI system.The new AI system takes over one or more of the important tasks that your team performs repeatedly, and with supervised training, it also gradually acquires new skills, offer a better performance and reduces the impact of human error .
Through Area99 "Experience Transfer" service, your organization makes sure that the key skills and experiences that keep you ahead of the competition, these skills become part of your system, they grow and evolve, and they are no longer dependent on an employee joining or leaving your organization.
Cognitive Computing AI Services
The greatest promise offered to businesses today comes from cognitive computing technology as it is capable of processing large data sets exceptionally faster and more efficient than humans can.
Businesses today are also using Cognitive AI services to gain insights about their users and respond in a faster way to customers and market changes, and over 40% of these businesses witnessed a tangible outcomes of accelerated innovation of new products and services.
Area99 Cognitive computing services, could make an improvement from 30% to 70% in areas of customer engagement, productivity and business growth. It could also help improve the outcomes of your security and compliance checks and significantly reduce the relevant business risks.
Distributed Edge-AI micro computing
Using high performance IoT accelerators to automate and distribute AI tasks at the edge is the new optimal way of processing data at the age of 5G. The distribution of AI computations across edge devices and edge servers enables companies to produces effective and timely results without waiting for data to be aggregated and processed in the cloud.
For some businesses, the amount of data collected by assets, devices or sensors in the field is exponentially increasing, and running Machine Learning and Deep Learning at the edge enables a better, more robust and real-time management of those data and improves mobility by reducing reliance on inconsistent wireless networks and reduces the risk of data tampering during transmission.
Running AI tasks like prediction and inference at the edge also allows for more compliance with GDPR and local privacy laws without having to process or store data in the cloud.
Multi-agent Autonomous AI systems
With the increasing number of integration of smart services, and the number of channels that companies use to collect and process data, the concept of autonomy and minimizing human intervention is becoming more relevant to businesses nowadays. Eliminating human error is no longer limited to autonomous driving, but is now a necessity to any business that wants to thrive in the age of AI.
While automation is key to running business processes in a faster, cheaper, more repeatably and at a higher scale, autonomous systems use more than just automation by utilizing a degree of intelligence and decision making capacity that is not based on a workflow, rather based on recognizing new patterns that are not hard coded into the system.
The design and training of multi-agent systems that are able to analyze, learn, cooperate and coordinate among each other to make sophisticated decisions requires a thorough understanding of multiple AI domains and is not just limited to Deep Reinforcement Learning, which is one of the core competencies of our team at Area99.
AI-powered collaborative robots (cobots)
The biggest challenge facing the field of robotics today is figuring out how to get robots out of their cages to work in human environments. While robots are already doing a good job in automating most of the work done at factories, using robots in the workplace is still a largely untapped opportunity that will yield positive returns both in human and financial terms.
Companies around the world are facing increasing challenges influenced by global events, digitization and uncertainty, and an aging workforce that leads to labour shortage, and to meet these challenges they are likely to introduce or increase robots automation in the workplace.
Harnessing the power of robotics, and using deep learning to train robots and get them to become spontaneous, and enabling them to perform their tasks side-by-side with people in a safe and collaborative way, is a new frontier for artificial intelligence and is one of the main fields of work of our team at Area99.
AI at your organization
Find out how we use our expertise to tailor AI services for the needs of your organizations to help you cope wit the challenges your business is facing today.