Automation Tomorrow #40
Accelirate Inc.
Accelirating end-to-end business process automation with a seamless Human + Agent + Robot unified environment.
Embark on an exhilarating journey into the boundless realm of Automation Tomorrow! You're invited to join us as we explore the extraordinary potential of automation and its profound impact on our lives. Buckle up for an exciting adventure where we promise to keep you well-informed, offering a front-row view of the latest trends in automation. Learn and stay at the forefront of innovation!
Highlights of Automation Tomorrow
Prompting and Prompt Engineering:?
?Prompt engineering is a crucial aspect of interacting with LLMs, involving creating precise instructions that produce the best outcomes. Essential for AI users, this skill adds to the faster execution of problem-solving—prompts, comprising mandatory and optional components, guide models in generating responses.
Examples range from text summarization to code creation—techniques like zero-shot, few-shot, and chain-of-thought prompt the model differently. Read how to get the best output for your prompt and the best practices of Prompt engineering here.
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How Intelligent Automation is transforming the BFSI industry
Intelligent Process Automation is on the path to transforming the BFSI sector. Leveraging technologies like RPA, AI, NLP, blockchain and cloud computing, BFSI giants are streamlining operations, enhancing customer experiences, and improving risk management. Despite persisting data security and regulatory compliance challenges, the industry is implementing multiple solutions for accurate risk assessment. Read about the impact of the solutions involved in our latest blog!?
Mulesoft Integration: Maximizing Customer Insights
MuleSoft Integration revolutionizes data utilization in the automation-driven era, serving as a digital bridge for seamless connectivity across disparate systems. Operating on a Service-Oriented Architecture, MuleSoft RPA unifies customer data, optimizing insights for personalized marketing, sales strategies, and customer service. Its API-led connectivity ensures secure data access, real-time synchronization, and scalability. Read more in our latest blog!? ?
UiPath Trust layer: Another required yet strong feat.??
In 2023, Generative AI has been disruptive because of its abundance, and with abundance comes multiple concerns, with data privacy being a significant contributor.??
UiPath has been at the forefront of stopping such malpractices, and it achieves this in two ways: first, Uipath ensures that companies that use their AI models don't train the model based on customer data. Next, when the AI model uses the data, UiPath ensures that any possible shared location is trustworthy enough, and the user can choose where the data gets stored. This adds a security layer each time data moves, and the customer controls it for the most part.???
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Is there a need for a "trust layer"??
These are the times when data is king. The business that holds maximum real-time data, in some way or another, controls the way customers make their decisions. This is a fact that has two faces. First, it allows people to get better insights based on their surfing, and the other, uglier half is that it is aptly capable of creating a bias in the customer's head.??
Generative AI works on training, and it gets trained with the help of, yes, you guessed it right, customer data. If AI frontrunners ignore the goliath possibility of unethical AI use, it is natural to give up the hope of trust altogether.??
To answer this question, an attempt like that of the trust layer offered by UiPath is necessary to ensure that people still believe their decision is organic and unbiased.??
What does the UiPath trust layer do to safeguard data??
The Trust layer is based on the founding principles of control, trust, and transparency. With the data for third-party LLMs being subject to the highest security and privacy standards, customers have a transparent understanding of data transfer from UiPath platforms to third-party platforms (If any). Lastly, give customers admin-level control over sensitive data.??
How does it add to AI scaling while maintaining best practices??
Users like developers can be confident regarding data security when accessing UiPath Autopilot to develop automation or use document understanding using new Generative AI features. Similarly, COE leads can efficiently govern the LLM data privacy and prediction of inputs and outputs.?
These will be era-defining experiences as they will foster accelerated automation and improved productivity. ? ? ?
Conclusion:?
UiPath Trust layer is a strong feat to achieve and was required in the binary times. It shows the automation giants' responsible approach to best AI practices that propel automation to help the landscape change into a better one, with no space for data breaches and AI malpractice.??
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From The Accelirate team:?
Greetings from? Accelirate! We are a team of automation experts and your ally on the transformative automation journey. We are here to make automation more accessible for you from start to finish!?
Join us on this remarkable journey that will not just automate, but liberate!