Reflecting on the Success of the 6th Data Science Meetup by Lucent Innovation.

Introduction

Lucent Innovation's 6th Data Science Meetup was a great success, and we are happy to look back on it. A broad spectrum of data enthusiasts and innovators came together for this event to exchange ideas, explore emerging trends, and establish new relationships in the data science community. As the event's keynote speaker, Mr. Ashish Kasama's deep knowledge and captivating presentation offered priceless insights into the evolving field of AI and RPA, highlighting both the potential and difficulties that lie ahead.

Some of the key points covered by Mr. Kasama were: 

1. AI and RPA: The unstoppable duo! 

Ashish Kasma spoke about the combination of Artificial Intelligence (AI) and Robotic Process Automation (RPA) at Lucent Innovation’s Data Science Meetup. 

2. What is RPA and AI? 

• RPA: Software bots that mimic human actions on systems, data entry, form filling, file management etc. 

• AI: Algorithms that enable machines to do cognitive tasks like language understanding, image recognition, decision making. 

 

3. Where RPA and AI combine? 

• AI augments RPA: AI technologies mimic human judgment and behavior and enhance automation capabilities. 

• Combined power: RPA with AI enables to automate end to end processes and predictive insights. 

4. The Journey of Automation 

• RPA 1.0: Basic rule-based automation. 

• RPA 2.0: Process orchestration and integration with business systems. 

• RPA 3.0 (Intelligent Automation): AI integration for complex cognitive tasks. 

5. Case Study: Medical Process Report Automation 

• Challenges: Reports in different formats, high volume and accuracy is key. 

• Solution: RPA + AI extracts data, improves efficiency, accuracy and compliance. 

6. Case Study: HR Email Automation 

• Challenges: Various CV formats, data accuracy and compliance. 

• Solution: RPA + AI extracts unstructured data and improves efficiency. 

7. RPA Tools 

• Open source: TagUI, TaskT, RobotFramework, Robocorp, OpenRPA 

• Commercial: UiPath, BluePrism 

8. Finding RPA Opportunities 

• RPA is good for: Clear, defined, repetitive, high volume, rule-based processes prone to human error. 

• Areas for RPA: Underperforming areas, rigid applications, scalability bottlenecks, manual tasks, data entry errors, potential outsourcing. 

 

9. RPA Market Size 

• Global RPA market is expected to reach USD 13571.72 million by 2028, growing at a CAGR of 21.85%. 

10. Importance of UI Path Certification 

• Certification shows: Expertise in RPA tools and technologies. 

• Career growth: Opens up new opportunities and higher salaries. 

• Competitive advantage: Differentiates you in the market. 

By combining AI and RPA, organizations can achieve huge efficiency, accuracy and innovation. 

Conclusion 

The Lucent Innovation Data Science meetup was a huge success, and attendees found the material to be insightful and helpful. They left with a solid understanding of how AI and RPA work together to drive efficiency, accuracy, and creativity due to Ashish Kasma's insightful discussion. 

Mr. Kasama  offered case studies and real-world examples with the attendees, which highlighted how RPA and AI are being used in a variety of industries. Participant queries and in-depth discussions on subjects were addressed during the Q&A session, which improved the learning process even more. 

All things considered, the event provided guests with a great chance to learn more about AI and RPA, connect with colleagues in the field, and find new applications for these technologies. 

 

Also read, Data Science Meetup 5.0: Recap and Highlights!