Category: Automation
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Here’s Why Tangentia India is a Great Place to Work
Here's Why Tangentia India is a Great Place to Work
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
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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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LLM Powered Robotic Process Automation: Unleashing the Industry Transformation Revolution
LLM Powered Robotic Process Automation: Unleashing the Industry Transformation Revolution
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.
The Rise of Robotic Process Automation (RPA)
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.
What are Large Language Models (LLMs)
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:
Supply Chain Solutions:
- Size: LLMs are characterized by their large number of parameters, often in the billions. Models like GPT-3, GPT-4, and their variants are examples of LLMs. The large size allows them to learn and represent a vast amount of language data, making them capable of understanding and generating human-like text across a wide range of topics and languages.
- Pretraining and Fine-Tuning: LLMs are typically pre-trained on a massive corpus of text data from the internet, which helps them learn grammar, vocabulary, and world knowledge. After pretraining, they can be fine-tuned on specific tasks or domains to make them more specialized.
- Generative Abilities: LLMs can generate coherent and contextually relevant text. They can be used for tasks such as text generation, language translation, text summarization, and more.
- Natural Language Understanding: LLMs excel at natural language understanding tasks, such as sentiment analysis, text classification, and question-answering. They can comprehend and analyze text based on the context and provide meaningful responses.
- Versatility: LLMs are versatile and can be adapted to various language-related tasks with relatively little task-specific training.
- Ethical and Societal Considerations: The development and use of LLMs raise ethical and societal concerns, including the potential for misuse in generating fake news, biased content, and privacy implications.
- Computational Resources: Training and using LLMs require significant computational resources, including powerful hardware and access to large datasets. This makes them accessible primarily to well-funded organizations and researchers.
The Power of Large Language Models (LLMs)
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.
The Synergy of LLMs and RPA
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.
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Challenges and Considerations
While LLM-powered RPA holds tremendous potential, there are some challenges and considerations to keep in mind:
- Data Privacy: Handling sensitive data requires robust security measures to protect customer information.
- Ethical Concerns: As LLMs generate human-like text, it's important to consider ethical implications, including the prevention of misinformation.
- Integration Complexity: Integrating LLMs with existing RPA systems may require significant effort and expertise.
The Future of LLM-Powered RPA
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 transformative power of LLM-powered RPA in action and the industries that it reshapes along the way.
Integrating LLM with RPA
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:
- Understand the Use Case: Identify specific use cases where integrating LLM with RPA can provide value. LLMs can be used to extract information from unstructured text, generate human-like responses, perform data validation, assist with decision-making, and more.
- Choose the Right RPA Tool: Select an RPA tool that supports integrations and has the necessary capabilities to interact with an LLM through APIs or other integration methods. Popular RPA tools include UiPath, Automation Anywhere, and Blue Prism.
- Choose the Right LLM: There are several LLMs available, and you should select one that fits your needs. GPT-3 and similar models are popular choices.
- API Integration: LLMs are usually provided as APIs. You’ll need to integrate this API into your RPA solution. Most LLMs have SDKs or libraries available for various programming languages.
- Define Workflows: Create RPA workflows that involve interactions with the LLM. For example, you can use the LLM to extract data from documents, answer customer queries, or provide recommendations. Define the inputs and outputs of these workflows.
- Develop Integration Logic: Write code or configure the RPA tool to interact with the LLM's API. You may need to send requests to the LLM API with text inputs and process the responses. The integration logic will depend on your specific use case.
- Error Handling: Implement error handling and exception handling mechanisms to manage situations where the LLM may not provide a valid response or when there are connectivity issues.
- Test and Debug: Thoroughly test the integration to ensure it works as expected. Debug any issues and fine-tune the parameters and inputs for optimal performance.
- Security and Compliance: Ensure that you follow security best practices and comply with data protection regulations when integrating an LLM with RPA. Handle sensitive data with care and encrypt communication between the RPA tool and the LLM.
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.
About the Author
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.
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WatsonX – Pioneering the Fusion of Generative AI and Commercial Applications
Watsonx – Pioneering the Fusion of Generative AI and Commercial Applications
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.
A platform prioritized for enterprise AI
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.
Exceptional customer care through AI solutions
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.
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Streamline your procurement process using WatsonX
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.
Benefits of building with IBM
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.
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Celebrating 20 Years of Excellence: A Milestone for Tangentia
Celebrating 20 Years of Excellence: A Milestone for Tangentia
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.
Global Recognition:
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.
Diverse Portfolio:
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.
Innovation Hub:
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.
Growth Story:
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.
Client-Centric Approach:
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.
Agile Adaptation:
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.
Future Outlook:
- Embracing Digital Transformation:As businesses continue to embark on digital transformation journeys, Tangentia is poised to play a pivotal role. The company's focus on emerging technologies such as artificial intelligence, blockchain, and cloud computing positions it as a trusted partner for organizations seeking to future-proof their operations.
- Global Expansion:With a solid foundation and a proven track record, Tangentia is set to further expand its global footprint. Strategic partnerships and a commitment to delivering value-driven solutions will be key drivers in exploring new markets and industries.
- Investing in Talent:The heart of Tangentia's success lies in its talented and dedicated team. The company's future outlook includes a strong emphasis on talent development, fostering a culture of innovation, and attracting top-notch professionals to drive continued excellence.
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.
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Elevate Your Operations – Crafting Intelligent Supply Chains with IBM Sterling and TiA
Elevate Your Operations – Crafting Intelligent Supply Chains with IBM Sterling and TiA
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.
Supply Chain Solutions:
- IBM Sterling Order Management: Elevate cross-channel efficiencies, refine complex product order management, and streamline fulfillment operations across commerce systems.
- IBM Sterling Store Engagement: Extend control of store operations to associates through intuitive mobile applications, facilitating omni-channel offerings like “buy online, pick up in-store” and “ship from store.”
- IBM Sterling Call Center: Address challenges in customer order management with tailored solutions for diverse business scenarios.
- IBM Sterling Configure, Price, Quote: Disseminate product information across all channels, enabling accurate configuration, pricing, quoting, and ordering of products, services, and solution bundles.
- IBM Sterling Inventory Visibility: Process high-volume inventory supply-and-demand updates, providing real-time availability across all e-commerce channels.
- IBM Sterling Fulfillment Optimizer with Watson: Leverage the power of Watson to minimize the total cost of serving customers by analyzing big data and optimizing operations in both stores and distribution centers.
- IBM Sterling Supply Chain Insights with Watson: Enhance supply chain visibility, quickly detect disruptions, and collaborate effectively with colleagues and IBM Watson™ to resolve issues.
- IBM Sterling Inventory Control Tower: Gain insights into inventory across all locations, predict disruptions, and take proactive actions based on recommendations to respond faster to market changes and enhance customer experiences.
- IBM Sterling Supply Chain Business Network: Establish reliable connections with suppliers and partners, gaining deep visibility into B2B transaction life cycles and partner performance through cognitive technologies.
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B2B Collaboration Solutions:
- IBM Sterling B2B Integrator: Run and manage processes according to your business requirements, supporting high-volume electronic message exchange, complex routing, translation, and interaction with multiple systems and external partners.
- IBM Sterling Secure Proxy: Ensure high-level data protection between external connections and your internal network, defining inbound and outbound node definitions for secure data exchange.
- IBM Sterling File Gateway: Facilitate movement of large file transfers with end-to-end visibility in a process-oriented, scalable framework, addressing challenges such as protocol and file brokering, automation, and data security.
- IBM Sterling Connect:Direct: Enable round-the-clock unattended operation for secure high-volume data exchange within and between enterprises.
- IBM Sterling Partner Engagement Manager: Accelerate onboarding, collaboration, interaction, monitoring, and visibility of activity flows between enterprises and their partners, customers, and suppliers.
- IBM Sterling Transformation Extender: Automate the transformation of complex high-volume transactions, supporting various standards-based B2B integrations and real-time integration of data from multiple applications and technologies.
- IBM Sterling Control Center: Centralize monitoring and management, allowing continuous oversight of business activities across the enterprise and the efficient management of Connect:Direct servers configuration and licenses.
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.
