Software robots with cognitive abilities are here to deliver real-world impacts for your organization.
Artificial intelligence (AI), especially Machine Learning, has existed for decades as an object of fascination for people and businesses – but today, we can report it’s truly at a tipping point. Leaps in automation technology have taken AI’s effectiveness and usability to new heights, and early adopters are seeing its real-world benefits. That’s because Machine Learning is RPA’s perfect partner: a decision-making “brain” that expands robots’ capabilities while further increasing efficiency.
AI algorithms enable digital workforces to handle more complex tasks than RPA alone. Two key abilities make Machine Learning so disruptive to business process optimization: Classification, or making a decision based on data; and Sensing, the ability to interpret unstructured documents. These versatile strengths will power the next wave of enterprise automation – and with Ciphix, they’ll be hard at work for your business.
"Two key abilities make Machine Learning so disruptive to business process optimization: Classification, or making a decision based on data; and Sensing, the ability to interpret unstructured documents."
Every day, the world generates billions of gigabytes of the fuel that powers AI: data. Data is what takes Machine Learning from input to output – and the more of it your robots can leverage, the better decisions they can make.
Any enterprise automation process can be defined according to three main steps: Data -> Judgment -> Action.
However, companies who leverage AI – making the most of all the data available to them – add prediction as a new step into the sequence: Data -> Prediction -> Judgment -> Action.
Understanding the complexities and challenges of these steps is critical in solving the cognitive puzzle when it comes to enterprise automation.
When it’s not necessary to build AI models from scratch, we often leverage Tensorflow’s advanced frameworks to rapidly design and implement our Machine Learning solutions. Tensorflow integrates natively with software robots and makes a value-building addition to our arsenal of AI tools.