ML

Learn how artificial intelligence and intelligent automation network impact the market. Artificial intelligence and Intelligent automation network state in the market.

Today, machine learning avoids explicit programming allows the machine to learn rules from large datasets. The heart of machine learning systems is the algorithm. Some of them are quite specific, whil...

Cognitive computing, on the other hand, takes those outputs and examines their nuances. The cognitive computing branch of AI is able to operate with unstructured data which is any data that is not c...

In addition, while many companies are racing to adopt advanced automation tools such as RPA (43%) and workflow automation (54%), a surprising number of organizations are overlooking foundational techn...

Walk away with an understanding of: Why the “paperless office” is nothing more than a myth; How intelligent document processing dramatically increases efficiency, reduces error and frees workers to fo...

Download the whitepaper to Take your Automation Centre of Excellence to the next level; Speed up back office operations; Reduce errors and improving customer experience; Design and implement a workflo...

In reality, most models will be tasked with scoring unusual, anomalous, or unexpected data at some point after they are deployed.  But the more certain we are of expected conditions at the time of pre...

Our old friends at Automation Anywhere combine forces with our new friends at DataRobot to discuss the integration and convergence of RPA & Automated ML and how that combination can hurdle your enterp...

This session identifies Data Virtualization Benefits for AI & ML projects including: Reducing data exploration and analysis timeframes; Extending and integrating capabilities to improve data scientist...

The big four focus areas are Organize, Democratize, Analyze and Monetize the data. In his session for AI, RPA & Data Live, Robert Welborn admits to spending 90% of his time organizing data. But the se...

Limitations of standalone RPA in processes that require some level of Intelligence and how AI can help along with real use cases on how to address them.

Take a deep dive into how data is stored in unstructured documents in enterprises and how Computer Vision can be used to generate insights of which that the organization was never aware.