Insights & Use Cases

What We Offer

Strategy

We help you develop a Strategy and a Roadmap, including Tool Selection, Productivity metrics and ROI Models.

Implementation

We deploy your RPA solution, establish governance and address IT and security concerns. We also train your staff to maintain the solution.

Managed Services

We manage, monitor, tune and continually optimize your robotic process execution. We also implement enhancements and manage your RPA infrastructure.

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AI is not Scary!

Not a day goes by that you hear about the dire predictions about Artificial Intelligence taking most of the Human jobs away. When you look around yourself and hear about self-driving cars, Alexa, Siri etc. etc. it feels like Humans may not have much to do after a few years. The reality however is not that bleak…

AI can be taught to drive cars, but same AI can’t be used to clean the tables. AI can beat Humans on the “Go” board game (www.alphago.com) but the same AI program does not know how to play chess. So, today’s AI and Machine Learning can perform incredibly well at tasks that we train the Computers on but without proper “labeling” or training of the Algorithms, it’s still a garbage in and garbage out scenario. Today’s AI technology is fundamentally great at processing huge amounts of data and use supervised and unsupervised AI techniques to solve a narrow set of problems that its trained on. The term “Narrow AI” describes the state of AI Technology today as compared to human-like “General AI” which still may be a few decades away.

So why use AI? Businesses can use AI to solve a lot of prediction problems using their own internal as well as combine their data with publicly available external datasets. For e.g. if a Financial institution is trying to predict its Sales for the next few quarters, the accuracy of the prediction may be much better if they use not only their own existing datasets but also utilize macroeconomic data such as interest rates etc. to better align their Sales forecast with broader Market factors. So, Business Intelligence is probably one of the first places where AI and Machine Learning Technologies can have a huge impact as it allows BI Groups to go beyond their traditional retrospective and predictive analytics and add a prescriptive element to their Analytics.

Business Process Automation is another area where there are tremendous applications of AI. For e.g. many Businesses have large Document Management and OCR systems deployments but they still have a lot of manual Business Processes around such implementations. AI and ML can potentially lead Business towards autonomous execution of such Processes using AI Technologies such as Natural Language Processing, Robotic Process Automation etc.

Marketing can use AI to create better Customer Engagement through Company’s existing Customer facing channels such as their Websites, Mobile Apps etc. For e.g. AI Technologies such as Sentiment Analysis can help in real time social brand management. Chatbots and Customer Service Rep Assistive Bots can help in creating better overall Customer Engagement for Customers.

The list of Business Use cases goes on and on…

In summary, AI is NOT magic (at least for now). But the ability of machines to learn and program themselves even within the bound of “Narrow AI” is an incredibly powerful evolution of Computing which has been termed as the 4th industrial revolution and rightfully so.