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For the third consecutive year, Tangentia India Technologies Pvt. Ltd. has been certified as a Great Place to Work by Great Place to Work® Institute (India) December 2023 – December 2024. Considered the ‘Gold Standard’ in identifying and recognizing Great Workplace Cultures, the Great Place to Work® Certification is recognized worldwide by employees and employers.
As a world-leading provider of autonomous enterprise solutions, Tangentia has been helping companies make an impact using cutting-edge autonomous technology that enables them to transform and grow in today’s competitive digital automation landscape.
“At the center of delivering advanced autonomous solutions, creating ground-breaking innovations, and strengthening customer relationships is Tangentia’s driving force – its people,” says Vijay Thomas, CEO of Tangentia. “We’re proud of Tangentia being recognized as a ‘Great Place to Work’ three years in a row. This prestigious recognition has been bestowed on us due to the hard work and contribution of the entire team. ‘Dream, Work and Achieve’ is our team’s mantra which has helped us exceed customer expectations, set industry benchmarks, and push boundaries.” says Vijay.
Tangentia has always nurtured an inclusive work culture that fosters growth, promotes diversity, encourages education, and inspires teamwork. A ‘Great’ work culture that spans over two decades provides a platform for its employees to exchange ideas, perspectives, and knowledge. With the strategy of being closer to its customers in 2023, Tangentia opened new offices across India in addition to its existing offices in Goa. As a result, the team has grown exponentially over the last year. This is a testimony that Tangentia is genuinely a ‘Great Place to Work’.
A guest house facility for employees working over different time zones is also in place in Goa and Kerala offices. Tangentia has also embraced the new normal and has adopted a modern – hybrid work system that facilitates exposure from different global markets – Canada, America, Mexico, and India.
In addition to rewarding its employees through industry-recognized certifications, awards, bonuses, and other benefits, Tangentia welcomes its new employees with a joining bonus and welcome kit. While the team works smart, they make time for other activities, including festive celebrations, CSR initiatives, and off-sites. Tangentia is truly a Great Place to Work.
Interested in working with Tangentia? Visit tangentia.com/careers or write to careers@tangentia.com
Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada, USA, Mexico and India to implement their RPA strategies using an agile methodology.
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In the ever-evolving landscape of technology, industries are constantly seeking ways to streamline operations, cut costs, and increase efficiency. One remarkable innovation that has emerged in recent years is Robotic Process Automation (RPA). RPA has become a game-changer for businesses looking to automate routine tasks and improve productivity. But what if we could take RPA to the next level by incorporating Language Model Models (LLMs) into the mix? In this blog, we will explore the concept of LLM-powered Robotic Process Automation and its potential to revolutionize industries across the globe.
Robotic Process Automation is the technology that allows businesses to automate repetitive and rule-based tasks using software bots or “robots.” These bots are programmed to perform tasks just like a human would but with higher speed and accuracy. RPA has found its application in various industries, including finance, healthcare, customer service, and manufacturing. It has successfully reduced human errors, increased efficiency, and freed up employees to focus on more value-added tasks.
Large Language Models (LLMs) are a type of artificial intelligence (AI) model that is designed to understand and generate human language. These models are built using deep learning techniques, particularly a type of neural network architecture called a transformer, which has proven highly effective for natural language processing tasks. LLMs have found applications in a wide range of fields, including natural language understanding, machine translation, chatbots, content generation, and more. They continue to be a subject of active research and development, with ongoing efforts to improve their capabilities and address their limitations.
Key characteristics of Large Language Models include:
Large Language Models, like GPT-3.5, have gained significant attention for their ability to understand and generate human-like text. These models are pre-trained on vast amounts of text data and can perform tasks such as language translation, and content generation, and even answer questions with remarkable accuracy. LLMs have been a transformative force in the fields of natural language processing and artificial intelligence.
Imagine a scenario where RPA bots are not just programmed to perform predefined tasks but are also capable of understanding and generating human language. This is where the synergy of LLMs and RPA becomes a game-changer. Here are some ways in which LLM-powered RPA can revolutionize industries:
Enhanced Customer Support
LLM-powered RPA bots can engage with customers in natural, human-like conversations. They can understand customer queries, provide personalized responses, and even handle complex issues by accessing a vast knowledge base. This level of automation can significantly improve customer support services, reducing response times and ensuring consistent quality.
Intelligent Data Analysis
In industries like finance and healthcare, data analysis is a crucial task. LLM-powered RPA bots can not only analyze data but also generate insightful reports in a format that is easily understandable by humans. This can save organizations valuable time and resources while enabling data-driven decision-making.
Streamlined Document Processing
Many businesses deal with a large volume of documents daily. LLM-powered RPA bots can be trained to extract information from documents, classify them, and even generate summaries or reports based on the content. This can lead to faster document processing and reduced manual errors.
Multilingual Capabilities
For global businesses, language barriers can be a significant challenge. LLM-powered RPA bots can easily translate between languages, making it possible to communicate with customers, partners, and employees worldwide seamlessly.
Continuous Learning and Adaptation
LLMs are known for their ability to learn and adapt to new data. This means that LLM-powered RPA bots can continuously improve their performance over time. They can stay up-to-date with industry trends, regulations, and customer preferences, ensuring that they always deliver the highest level of service.
Sign up for a free POC worth $5000 for Tangentia's TiA implementation. Book a discovery call with us today to find out more about what Tangentia Intelligent Automation solutions can do for you.
While LLM-powered RPA holds tremendous potential, there are some challenges and considerations to keep in mind:
As technology continues to advance, the fusion of Language Model Models with Robotic Process Automation is poised to revolutionize industries. The ability to automate tasks with a high degree of language understanding and generation will unlock new levels of efficiency and productivity. Organizations that embrace LLM-powered RPA early on will likely gain a competitive advantage in their respective markets.
In conclusion, LLM-powered Robotic Process Automation represents a remarkable leap forward in the automation landscape. It has the potential to redefine the way businesses operate, interact with customers, and analyze data. While there are challenges to overcome, the benefits of this technology are too significant to ignore. As we move forward, it will be fascinating to witness the the transformative power of LLM-powered RPA in action and the industries that it reshapes along the way.
This integration empowers RPA solutions to comprehend and interact with natural language, enhancing their effectiveness in handling unstructured text data, communicating with humans, and making informed decisions. By choosing the right LLM, establishing API integration, and defining specific use cases, organizations can benefit from improved natural language understanding, text data extraction, content generation, and decision support within their automated processes. However, it's essential to prioritize security, compliance, error handling, and testing, as well as consider scalability and cost management. Regular maintenance and monitoring, along with documentation and training, are critical for ensuring a successful and sustainable LLM-RPA integration that keeps pace with evolving technology.
Here are some steps and considerations for integrating LLM with RPA:
The integration of Large Language Models with Robotic Process Automation is a powerful combination that can supercharge automation efforts in various industries. Whether it's automating customer interactions, document analysis, or content generation, the fusion of these technologies opens up a world of possibilities. By leveraging the intelligence of LLMs, businesses can gain a competitive edge and unlock new levels of efficiency and productivity.
As the field of automation continues to evolve, integrating LLMs with RPA promises to be a transformative force in the way organizations operate and interact with their customers and data. It's a step toward a future where intelligent automation becomes the norm, not the exception.
Meenu Shaji, a Junior RPA/AI Developer at Tangentia India Technologies, hails from Kerala and brings 1.5 years of hands-on experience with Automation Anywhere. Her project portfolio includes Symphony Freight, Symphony Mexico, and Popular Motors. Meenu holds an Automation Anywhere Masters certification and holds an IBM Process Mining Analyst Badge, reflecting her commitment to continuous learning. Through her blog, she shares practical insights, discoveries, and the latest trends in the dynamic landscape of RPA and AI.
Tangentia is an implementation expert in AI,RPA & Automation solutions & has partnerships with UiPath, Automation Anywhere & Blueprism.
Tangentia Automation powered by IBM Watsonx is revolutionizing the landscape for enterprises of all sizes, facilitating the seamless integration of generative AI into their operations. Comprising three essential components, Watsonx empowers businesses to tailor their AI solutions according to their unique needs. Watsonx.ai provides user-friendly tooling for robust foundation models, while Watsonx.data ensures efficient, scalable workloads across diverse data locations. The third component, Watsonx.governance, establishes crucial guardrails for responsible implementation. This holistic approach allows organizations to refine foundation models with domain-specific data, fostering a competitive edge and ensuring alignment with external sources of knowledge.
These advanced features, complemented by an extensive array of Tangentias machine learning and AI functionalities, are now accessible to independent software vendors (ISVs) and managed service providers (MSPs) through IBM’s embeddable software portfolio. Supported by the IBM Ecosystem Engineering Build Lab and a robust partner ecosystem, Watsonx, alongside other IBM AI applications, libraries, and APIs, expedites the development of AI-powered commercial software, minimizing the reliance on specialized talent and developer resources.
In line with IBM’s commitment to aiding organizations in deriving business value from embedded generative AI, Watsonx caters to the most critical needs of enterprise developers. This includes text summarization, sentiment analysis-based input classification, text content generation, information analysis and extraction (or redaction), and question-answering functions. Partnering with Watsonx provides ISVs with flexibility in choosing models tailored to their industry, domain, and specific use cases, leveraging open-source models, third-party models, and IBM’s proprietary Granite models.
The flexibility to incorporate proprietary data and fine-tune models for domain-specific tasks positions ISVs to better address the industry-specific needs of their clients. With Watsonx, IBM not only provides access to foundational models but also offers IP indemnity, instilling confidence in partners as they navigate AI creation.
Exploring diverse AI use cases across industries, Watsonx proves invaluable in delivering exceptional customer care through AI solutions. Recognizing the growing significance of customer service in the generative AI landscape, companies can enhance their customer care portals with Watsonx Assistant and Watsonx.ai, accelerating time-to-market and meeting customer expectations.
Moreover, Watsonx facilitates the effortless generation of conversation transcripts, automation of Q&A sessions, and the extraction of key information. The platform’s capabilities, exemplified by Watsonx.ai, enable concise conversation summaries and sentiment analysis, contributing to refined and improved information available to customer care agents.
Sign up for a free POC worth $5000 for IBM WatsonX and TiA implementation. Book a discovery call with a member of Tangentia’s intelligent automation team today to find out more about what IBM WatsonX can do for you.
In another context, organizations can streamline their procurement processes by integrating Watsonx into their enterprise solutions. Leveraging AI-infused supply chain management solutions, such as Watsonx Assistant, Watsonx.ai, and Watsonx.data, developed by ISVs, companies can connect disparate processes and data, optimizing end-to-end solutions.
Watsonx Assistant, functioning as a user-friendly natural-language Q&A interface, interfaces with the supplier database, while Watsonx.ai generates database queries and content like Requests for Proposals (RFPs). Simultaneously, Watson Discovery analyzes supplier financial reports, and Watsonx.data serves as a front end for the company’s ERP system. This integrated approach empowers teams to work smarter, facilitating more informed and integrated business outcomes.
ISVs who partner with IBM get more than just functionality. Our team will help you create a solution architecture that helps you embed our AI technology, explore how to monetize your solution set, provide technical resources and even help sell it through our seller network.
IBM Partner Plus, our partner program, provides business partners with a plethora of resources and benefits to help them embed technology. We find the following resonate especially well with partners looking to start their journey of building with IBM: the IBM Digital Self-Serve Co-Create Experience (DSCE), the IBM Ecosystem Engineering Build Lab and the IBM Sales Partner Advocacy Program.
DCSE helps data scientists, application developers and MLOps engineers discover and try IBM’s embeddable AI portfolio across watsonx, IBM Watson libraries, IBM Watson APIs and IBM AI applications. The IBM Ecosystem Engineering Build Lab provides partners with technical resources, experts and support to accelerate co-creation of their solution with embedded IBM technology. The IBM Sales Partner Advocacy Program is a co-sell benefit that encourages collaboration with IBM sales teams when partners sell their solution with embedded IBM technology to IBM clients.
In the dynamic landscape of the tech industry, sustaining excellence for two decades is no small feat. Tangentia, a trailblazer in the realm of technology and business solutions, has not only weathered the storms but has emerged stronger, wiser, and more innovative than ever. As we celebrate the remarkable journey of Tangentia's 20-year milestone, let's reflect on the key achievements, growth story, and future outlook that have defined its legacy.
Over the past two decades, Tangentia has carved a niche for itself on the global stage. Its commitment to delivering cutting-edge solutions has earned the company accolades and recognition from industry peers and clients alike. The most recent of which have been Tangentia being named Microsoft's top 4 partners globally for Power House, being recognized as one of the top 24 RPA providers in Forrester's Robotic Process Automation Landscape report 2023 and making it to Zinnov Zones Best RPA and Intelligent Automation providers.
Tangentia's success can be attributed to its diverse portfolio of services. From enterprise software solutions to business process outsourcing, the company has consistently adapted to the evolving needs of the market, ensuring a comprehensive suite of offerings for its clients.
Tangentia has positioned itself as an innovation hub, constantly pushing the boundaries of what is possible in the tech space. The company's R&D initiatives and partnerships with leading technology providers have been instrumental in staying ahead of the curve.
From Humble Beginnings: The journey of Tangentia began with a vision to transform the way businesses operate through technology. What started as a small venture has blossomed into a global player with a presence in key markets across the world.
Tangentia's growth story is intricately linked to its unwavering commitment to client success. By understanding the unique needs of each client and tailoring solutions accordingly, the company has fostered long-lasting relationships that form the bedrock of its expansion.
The tech landscape is ever-evolving, and Tangentia has demonstrated exceptional agility in adapting to change. Whether it's embracing emerging technologies or navigating shifts in market dynamics, the company's ability to pivot has been a crucial factor in its sustained growth.
It's time to debunk the myth that the costs of RPA outweigh its benefits. Tangentia, with its expertise and focus on ROI, can effectively deploy to organizations, delivering rapid returns and long-term value. By embracing RPA and partnering with Tangentia, organizations can automate their processes, reduce costs, enhance customer experience, and unlock new opportunities for growth in today's digital landscape.
As Tangentia marks two decades of excellence, the celebration is not just a retrospective but a testament to the company's resilience, innovation, and commitment to excellence. Looking forward, Tangentia is well-positioned to continue its journey of transforming businesses and shaping the future of technology. The next chapter promises exciting advancements, new partnerships, and a continued legacy of excellence in the ever-evolving tech landscape. Here's to 20 years of success and to the many more milestones yet to come for Tangentia.
What is your organization doing to ensure that your B2B integrations are improving the flow of your essential data? Your company may rely on complex B2B integrations for your Electronic Data Interchange systems, to ensure that essential B2B solutions are able to communicate, and for a variety of other reasons.
The IBM Sterling B2B Integrator is a powerful B2B gateway that provides companies with a scalable and secure solution that’s always available for complex B2B integrations and all your EDI needs. This highly-customizable solution consolidates the flow of information across your B2B value chain and trading partner networks through a single, accessible gateway. Integrated with Tangentia’s Intelligent Automation offering (TiA), IBM Sterling can also automate most of your repetitive and mundane processes and workflows with ease for increased productivity.
Sign up for a free POC worth $5000 for IBM Sterling and TiA implementation. Book a discovery call with a member of Tangentia’s intelligent automation team today to find out more about what IBM Sterling can do for you.
At Tangentia, we are committed to providing innovative automation and smart B2B solutions that empower businesses to thrive in a dynamic and competitive landscape. Our partnership with IBM ensures the delivery of robust, scalable, and transformative solutions tailored to meet the evolving needs of modern enterprises.
In today’s digital world, manual data entry is becoming increasingly obsolete. Businesses are constantly seeking new and efficient ways to extract and process data from documents. This information is essential for streamlining processes and making informed decisions. Intelligent data extraction (IDE) is a cutting-edge technology that addresses this challenge by automating the data extraction process with AI integration.
IDE is a transformative technology that automates the process of capturing data from diverse documents, extracting relevant information, and organizing it in a structured format. By harnessing the power of artificial intelligence (AI), IDE systems thoroughly analyze and process documents with remarkable accuracy and efficiency. This approach significantly reduces manual intervention and human errors, leading to improved productivity and faster processing times.
Implementing IDE in your document processing workflows offers a multitude of interconnected benefits, including:
Integrating IDE into your document processing workflows is a strategic move that drives efficiency and productivity. By automating the extraction of data from various documents such as invoices, offer letters, and billing documentation, businesses can accelerate their operations, lower costs, and enhance customer satisfaction.
To maximize the benefits of IDE, leverage business process automation platforms that excel at AI orchestration. These platforms not only offer advanced data extraction capabilities but also seamlessly integrate with your existing processes and work with your legacy systems. This integration ensures a smooth transition and enables the enhancement of processes without disrupting the workflow or requiring a complete overhaul of existing systems.
By choosing a business process automation platform with AI orchestration capabilities, you can leverage the power of IDE while preserving the investments you have made in your current infrastructure. Such platforms provide a flexible and scalable solution that can adapt to your evolving business needs and integrate with various systems, databases, and applications. This compatibility empowers businesses to optimize their document processing workflows, achieve higher levels of efficiency, and make data-driven decisions.
Intelligent data extraction is a transformative technology that offers a wide range of benefits for businesses of all sizes. By automating the document processing workflow and eliminating manual data entry, IDE can help businesses improve accuracy, reduce costs, and enhance customer satisfaction. If you are looking for a way to optimize your document processing workflows, intelligent data extraction is a solution worth considering.
The insurance industry, traditionally known for its risk assessment and claims processing, has witnessed a profound transformation in recent years, thanks to the integration of AI and intelligent automation. McKinsey predicts the industry is on the verge of a seismic, tech-driven shift.These cutting-edge technologies are reshaping the way insurers operate, enhancing customer experiences, optimizing underwriting processes, and mitigating risks. Here, we explore the significant impacts of AI and intelligent automation in the insurance sector.
Here are some of the key ways AI and intelligent automation are transforming the insurance industry:
A number of insurance companies are already using AI and intelligent automation to transform their businesses. For example:
AI and intelligent automation are undoubtedly transforming the insurance industry. These technologies are not only streamlining underwriting processes, but they are also improving customer experiences, enhancing claims processing efficiency, and elevating risk assessment and mitigation to new heights.
As technology continues to advance, insurers who embrace these innovations will remain competitive and better equipped to navigate the challenges of the modern insurance landscape. The insurance industry is on the cusp of an AI revolution, and the benefits it offers to both insurers and policyholders are bound to expand further in the years to come.
Sign up for a free POC worth $5000 for RPA or for a review of your existing RPA and AI implementation. Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.
An Autonomous Digital Enterprise (ADE) is growth-oriented, replacing manual and redundant tasks with automated intelligence and freeing up people to be creative, serve customers, and collaborate on higher-level pursuits. The successful ADE is defined by these three criteria and outcomes
In the contemporary business landscape, organizations are constantly seeking novel ways to enhance efficiency, cost-effectiveness, and productivity. Robotic process automation (RPA) has emerged as a revolutionary technology that holds the promise of achieving these objectives. However, selecting the appropriate RPA project is crucial to its success. This article will explore the strategic considerations and steps involved in choosing the most suitable RPA project for your organization.
Before delving into the selected project, it is imperative to briefly examine why RPA is garnering so much attention. Robotic Process Automation (RPA) entails software robots (or “bots”) performing repetitive, rule-based tasks in a process. RPA offers numerous benefits, including:
Choosing the appropriate Robotic Process Automation is a critical step in transforming your organization’s performance and productivity. By following these considerations, you can make informed decisions about how to maximize RPA’s potential while minimizing implementation issues. Remember that RPA is not a one-size-fits-all solution, and careful project selection is key to unlocking RPA’s full potential. Start small, learn from experience, and gradually scale your RPA program for long-term business success.
Sign up for a free POC worth $5000 for RPA or for a review of your existing RPA and AI implementation. Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.
An Autonomous Digital Enterprise (ADE) is growth-oriented, replacing manual and redundant tasks with automated intelligence and freeing up people to be creative, serve customers, and collaborate on higher-level pursuits. The successful ADE is defined by these three criteria and outcomes
PowerApps is indeed making a significant impact on the software development industry by introducing low-code development capabilities and empowering citizen developers. Here are some ways in which PowerApps is changing the software development landscape:
In general, PowerApps is revolutionizing the software development industry by democratizing app development, enabling faster delivery of applications, fostering collaboration between business users and IT departments, and providing a low-code platform that empowers citizen developers to contribute to application development efforts
Sign up for a free Microsoft PowerApps course to get started on your PowerApps journey. Hear from the industry leaders and experts from Tangentia, along with hands on sessions on setting up and building your own apps on the Microsoft Power platform.