The impact of AI at work has been impressive. We are inspired by the stories of Artificial intelligence (AI) Working together with people and automation to achieve greater business efficiency — accelerating the creative process, enhancing human capabilities, and increasing productivity. But we also cannot ignore the potential of AI to be used for harm.

The growing popularity of generative AI models has raised many questions on their safety, security and especially data privacy. According to the results obtained from MIT Sloan Management Review and Boston Consulting Group84% of AI experts and implementers believe responsible AI management should be a top priority. However, more than half (56%) believe it is being taken seriously enough by business leaders.

Consider the damage that can be caused by biased training data that hinders AI decision-making, or the ability of these systems to spread misinformation on a large scale. There is a lack of transparency in how these systems work, and the risk that the data you share with them could be used for training and exposed to another user.

To ensure the ethical use of AI, there is an urgent and pressing need for proper governance. AI evolves too quickly for policymakers, so the onus falls on creators and users to ensure their use of AI is beneficial and ethical. As an AI innovator that enables the implementation of AI on our platform, UiPath is no exception to this rule.

This article will help explain the different ways we implement AI at work, along with the controls we put in place to protect users who use them. As always, our approach is based on our core AI and automation principles: open, flexible, and responsive. As highlighted here..

1. Creating an open ecosystem for AI excellence

We cannot believe that any one company will ever have a monopoly on the best AI capabilities. After all, ‘AI’ refers to a diverse range of different tools and technologies. There is, of course, generative AI, but there is also specialized AI, which involves models that are trained for a specific business task or process, such as document processing or sentiment analysis. Each has value to the enterprise and no one company can be the best at all of them. Our goal is to maintain this diversity for the benefit of our customers and the AI ​​industry.

This is why UiPath follows an open approach to AI. We want our customers to be able to combine the best generative and specialized AI models. We enable them to choose from a list of advanced AI models built by UiPath, or they can take full control of their AI governance and user-contributed models, or models from external providers such as OpenAI. can also be used.

Special AI models have long been developed by UiPath. Our platform provides multiple offerings viz UiPath Task Mining, Process miningAnd Document understanding. Then there is UiPath Communications Miningwhich gives businesses access to the latest Large Language Model (LLM), a foundational technology for generative AI, to understand and automate their business communications.

Still, we recognize the immense value of introducing features with generative AI capabilities. We announced recently that UiPath Document Understanding and UiPath Communications Mining will leverage generative AI to accelerate model training for users. Our coming Project “Wingman”now available in private preview, enables users to create powerful automations using only natural language cues.

In all cases, AI capabilities are clearly marked to ensure UiPath users know what their options are. It enables users to make informed and ethical decisions about the use of technology.

2. Flexible AI that adapts to the user—not the other way around.

As creators of AI solutions it is vital that our models can adapt to the needs of users. When a customer has no choice but to choose an off-the-shelf model that doesn’t meet their use case, accidents happen. Accuracy means the world when you’re using AI to make decisions that directly affect your customers, or that need to be tailored.

That’s why we take model flexibility seriously. The UiPath Business Automation Platform is a flexible platform designed to meet the exact needs of our customers. The UiPath platform enables users to create customized workflows through multiple AI models, user interfaces, and application programming interfaces. UiPath Integration Service And Activities. These offerings make it easy for customers to integrate the model of their choice directly into the UiPath platform.

Moreover, users can customize our models according to their specific tasks and domains. Consider how different and unique each enterprise is. There is no room for a ‘one size fits all’ solution. Thankfully, tailored and accurate automations can be created with the fine-tuning features of communications mining and document understanding. This results in improved accuracy, efficiency and safety for everyone.

3. Guardrails for Responsible AI

Data is needed to improve AI systems. But consumers deserve the right to know their data is safe. UiPath has a responsibility to ensure that the data used to build our tools is of good quality, obtained legally, and managed securely. We do this in different ways:

• Legal and Compliant Data Collection

• Appropriate measures to ensure data processed in the UiPath platform are secure.

• Validate and balance data in UiPath models and algorithms to remove bias in training data

• GDPR compliance, including data deletion

The platform is actively reviewed for privacy, bias, and data security concerns, helping to develop trusted AI. We even got some innovation. In general, incorrect or biased models are the result of poor training rather than bad intentions. Especially for typical business users, it can be difficult to know when their AI model is sufficiently trained and balanced. UiPath Communications Mining solves this problem through its model rating feature. This capability largely automates the model validation process, assigning it scores for efficiency, accuracy and balance. The UiPath platform then provides users with a fully guided improvement experience, showing them what steps they should take to improve the model.

UiPath promotes human-centricity and transparency in AI. We’ve given users the tools to control their automations directly into it. UiPath Studio And Robot through Workflow Analyst And Automation operations. We have also developed robust criteria for evaluating third-party AI and LLM technologies. We aim to ensure measures are taken to reduce bias, malicious intent and other risks.

Read the full list of responsible AI principles.

To create ethical AI, first enable ethical humans.

to provide The foundation of innovation™ means embracing new technologies that move the world forward. In our approach to AI in the workplace, UiPath enables customers to implement these powerful capabilities in multiple ways that fit their automation needs as well as their security, governance, and risk posture. . It is important that these powerful technologies are used in ways that are as responsible and ethical as the people they serve.

Additionally, we believe there is a need to democratize emerging technologies and put the tools in the hands of users to understand and use accordingly. This is why we are developing dedicated AI courses as part of the curriculum. UiPath Academy.

For all the amazing progress of the past few years, the AI ​​story has only just begun. It is a story that will largely be told by its developers and users, who have a responsibility to share accountability and advance the ethical development of the technology. UiPath is behind them. We are committed to building trusted AI properties, giving our customers the tools and information they need to use AI responsibly.

If you’d like to learn more about the principles that guide our AI development, and see what’s coming next, be sure to Reserve your spot on FORWARD VI..

In our ever-evolving digital age, it’s no surprise that every industry is undergoing significant change. And the insurance industry is right in the middle of this revolution.

Automation and artificial intelligence (AI) are not distant dreams. They are ubiquitous, radically changing insurers’ operations and customer interactions. At the UiPath AI Summit 2023, key industry players, Andrea Simpson, IT Manager – PMO Robotic Process Automation at USI, and Thach Nguyen, Director of Digital Innovation at Hub International, shared their insights, highlighting that these technologies How are you. Reshaping the Insurance Landscape and What’s Next on the Horizon

From basic automation to AI compatibility

Prior to 2018, automation was largely understood as a tool under the influence of robotic process automation (RPA) aimed at managing discrete, isolated tasks. As Nguyen reflects, “Historically, automation in insurance has appeared as a tool where every problem has a nail on its hammer.” This description captures the early stage, which is characterized by a bottom-up approach, and prioritizes more fundamental tasks.

However, around 2022 the winds changed direction. Unprecedented workforce shifts and the “Year of the Great Resignation,” with skyrocketing operational costs, forced a paradigm shift. Industry now uses automation for dual purposes: cost efficiency and elevating the customer journey. What were once modest efficiency targets of 8-12% have reached 15-20%. This highlights the growing focus on human-AI collaboration in strategic decision-making.

Powering efficiency and growth with AI integration

USI’s automation journey started in 2019 with the support of UiPath. Starting with the automation of standard, repetitive accounting functions, they gradually scaled the automation, eventually adopting AI to further streamline operations.

Faced with challenges such as increased staff turnover during the Great Resignation, Simpson’s team leveraged AI-powered automation, witnessing a profound shift in results. He highlighted the immense value gained from automated functions such as direct bill commission and underwriting data entry.

His top achievements include:

• Using AI and machine learning to interpret different templates from multiple carriers for direct bill commission, saving over a million dollars annually

• Fully automating complex underwriting data entry, ensuring real-time client application updates

• Streamlining and automating the remittance email process, freeing up 800 hours per year

From adoption to expansion

Nguyen laid out a complex map of Hub International’s journey into the realm of AI-powered automation. The initial phase involved taking baby steps by adopting basic automation in accounting. This was a critical step not only in terms of operational tweaks, but as a proof of concept that helped secure the significant investment needed to take our projects to the next level.

Once funding was secured, Nguyen’s team set out to scale their program. The focus was not only on increasing the volume of automated tasks but also on diversifying the types of tasks being automated. He extended automation beyond the limited scope of accounting to diverse business departments throughout the company.

Summarizing the transformation, Nguyen commented, “Automation started out as just a tool for us—a mechanism to streamline repetitive tasks. However, its role in our organization has evolved. It is now an enabler, a catalyst that gives us the power to achieve more than we initially thought See it as just another resource to become business partners.”

For Nguyen and his team, the journey wasn’t just about automating manual labor. Their vision is more ambitious. He is interested in the potential of automation and AI to improve decision-making processes within a company. For example, sophisticated algorithms can analyze large data sets to offer insights that were previously either too complex or too time-consuming to obtain manually. This depth of analytics is a game changer in strategic planning and operational efficiency.

Additionally, the team is focused on reducing the complexity of existing workflows, particularly in high-stakes, complex sectors such as brokerage. Here, automation has proven incredibly useful in handling large data sets, especially related to broker information management. It has also been an invaluable asset in facilitating mergers and acquisitions. By automating due diligence and data integration processes, a company is able to make more informed choices faster, thereby gaining a competitive edge in the fast-paced world of mergers and acquisitions (M&As).

AI-powered automation as the new standard

Whether it’s streamlining routine duties such as sending remittance emails or handling complex tasks directly in the bill commission process, it’s clear that automation and AI have transitioned from optional add-ons to becoming indispensable components of insurance operations. Who is

As the sector evolves, adopting and mastering these transformative technologies will dictate not only success, but survival. Insights shared by industry experts at the UiPath AI Summit 2023 only reiterate the magnitude and urgency of this digital transformation.

To access the full recording of this session and explore other must-see sessions on AI-powered automation, visit the AI ​​Summit on-demand recording.

Be sure to join us at the Financial Services Summit UiPath Forward VI. The Financial Services Summit will begin on Wednesday, October 11, 2023 at 3:30 pm PDT.

Editor’s note: UiPath Clipboard AI™ was named one of TIME’s Best Inventions of 2023. Read Why TIME Recognized Clipboard AI.

In the evolving landscape of financial operations, the synergy between AI-powered automation and workplace efficiency has emerged as a driving force. It’s not just about implementing artificial intelligence (AI), it’s about turning its vast potential into concrete, actionable results. Applying AI to the workplace adds a deeper level of intelligence to daily operations, reshaping entire industries by automating knowledge-driven tasks. UiPath seamlessly integrates machine learning, natural language processing, and generative and specialized AI capabilities, paving the way for rapid business transformation for the AI ​​era.

Building on this momentum, we’re excited to unveil the public preview. UiPath Clipboard AI.

Since no one in 2023 should copy from one sheet just to paste it into another, Clipboard AI handles it for you. Clipboard AI is a no-code app that makes it easy to transfer data between different documents, spreadsheets and applications by intelligently understanding screens and accurately placing the necessary data. It is designed to improve workflow across a spectrum of use cases. Our initial venture is in the world of finance. Financial tasks often require greater accuracy, faster data transfer, and fewer manual errors—challenges that Clipboard AI is perfectly equipped to address. Here are seven reasons to integrate it into your work:

1. User friendly for all

Incorporating new technology can be complicated, especially if you’re not tech-savvy. Clipboard AI breaks this barrier. With its user-friendly interface, all it takes is one click to download and you’re ready to get started. No coding skills required.

2. The virtue of saving time

With clipboard AI taking care of time-consuming tasks like data entry or transfers, employees have more bandwidth for analytical and strategic roles.

3. Integration across platforms

Finance often means navigating between different software platforms. Clipboard AI makes this easy, ensuring fluid data movement and consistency across systems, from Microsoft Excel to many popular enterprise resource planning (ERP) tools including SAP Fiori, Oracle NetSuite, and more. Is.

4. Mastering unstructured data

Emails, informal transaction records, or customer requests often come in disparate forms and lack consistent order or structure. Clipboard AI excels at distilling that data, interpreting it, and putting it where it belongs.

5. Cognitive powers

With its advanced cognitive capabilities, Clipboard AI excels at tasks such as classification, summarization, content reasoning, and context interpretation. For example, it can understand the meaning of a word and categorize it appropriately. If a document mentions “violet,” but the input form only offers the “purple” option, Clipboard AI recognizes the similarity between the two colors and classifies it accordingly.

6. Increasing data accuracy

In the financial sector in particular, human errors can have significant consequences. Clipboard AI significantly reduces such errors, ensuring that data, whether from invoices or financial statements, is transferred across systems accurately.

7. Adaptive and learning oriented

The more you use Clipboard AI, the more it understands your unique needs, evolving to better serve you with each interaction. This adaptation ensures that Clipboard AI becomes more compatible with your workflow, making your tasks smoother and more efficient over time.

Clipboard AI in action.

Let’s explore the many financial use cases Clipboard AI offers:

• Invoice processing: Instantly extract invoice details received via email and populate them into an Excel spreadsheet or a platform like NetSuite.

• Data migration to ERP systems: Seamlessly copy data from Excel and insert it into ERP systems like SAP Fiori, creating comprehensive customer profiles without manual data entry.

• Unstructured applications are being processed.: Imagine an email from a client requesting a bank transfer. Clipboard AI can interpret this, extract the necessary details, and update them in systems like SAP, making operations efficient and error-free.

To view each demo, please Check out the Clipboard AI Finance page.

Our venture into the finance sector is just the beginning, and we couldn’t be more excited. With every step of growth and adaptation, we aim to empower everyone, from individuals to entire industries. With AI that goes beyond mere functionality, we aim to elevate every aspect of work. Join us in this journey of change. Try Clipboard AI., and please share your feedback. Your insights drive our innovation.