#rpa development

[hiredevelopers]

Enhance efficiency and productivity by implementing tailored Robotic Process Automation (RPA) solutions, designed specifically to meet your business needs. More info: https://www.linkedin.com/pulse/building-smarter-businesses-custom-rpa-solutions-amyra-sheldon-6rf4c/ #rpasolutions #rpadevelopmentcompany #rpadevelopment #rpa #roboticsprocessautomation #automation #Solution #development #TechSolutions

[kddicorporations]

How is RPA Driving Transformation in Business Processes RPA has slowly taken over many aspects of global businesses. Organisations and industries are gradually shifting towards automating their work processes and investing in the development of RPA solutions where software bots will be working alongside humans.

[kamalkafir-blog]

Java Developer-Full stack with React.js

Job title: Java Developer-Full stack with React.js Company: Adecco Job description: Java Developer – Full Stack (Java 21 / React.js) Location: London (Hybrid – 3 days onsite) Contract: 6-Month Contract…-office operations You’ll play a key role in building full–stack solutions using Java 21 and React.js, collaborating closely… Expected salary: Location: London Job date: Thu, 17 Jul 2025 00:39:43…

[luminouseidolontome]

Python Development Course in Pune | Knowlyft Academy

Knowlyft Academy offers expert-led Python Training for Beginners in Kharadi, covering basics to advanced with hands-on projects, making it ideal for those starting their journey in programming and development.

[vbeyound]

Building Smarter Business Intelligence with Microsoft Power BI and Integration Services

Microsoft Power BI has become one of the most adopted platforms for data visualization and business intelligence. With the ability to transform raw data into actionable insights, organizations across industries are integrating Microsoft Power BI into their business environments to drive informed decisions and operational clarity.

Recent developments in Microsoft Power BI have introduced stronger AI features, improved integration with Power Apps, and seamless connection with Power Virtual Agents. These updates focus on delivering connected, interactive, and automated analytics for every business function.

Why Microsoft Power BI is Gaining Attention

Businesses are shifting from static reporting to dynamic dashboards that update in real-time. This transition is powered by Microsoft Power BI, offering user-friendly data dashboards, predictive modeling, and AI-driven analysis features that work for both technical and non-technical users.

Another key driver is its compatibility with Power Automation and low code app development, allowing organizations to automate reporting workflows, simplify data input processes, and deliver interactive reports without complex coding requirements.

Core Integration Capabilities

Azure Integration: Companies can connect their data lakes, cloud-based applications, and on-premise databases using Azure integration, feeding data seamlessly into Power BI dashboards.

Power Automation: With Power Automation, users create automated data refresh cycles, schedule report distributions, and trigger notifications based on report thresholds — all without manual intervention.

Low Code App Development: Using Power Apps, business users can build apps that collect, modify, and push data into Microsoft Power BI dashboards, improving data capture efficiency across departments.

Microsoft RPA (Robotic Process Automation): Microsoft RPA helps automate repetitive tasks such as data scraping, extraction, and uploading, which directly enhances the quality and timeliness of data visualized in Power BI reports.

Power Virtual Agents: By integrating Power Virtual Agents, organizations can deliver chat-based insights by connecting conversational interfaces to their Power BI dashboards, allowing non-technical users to query data instantly.

Benefits of a Connected Power BI Environment

Quicker access to real-time, accurate data for finance, sales, HR, and supply chain teams

Reduction of manual reporting efforts through scheduled automations

Stronger operational oversight with predictive insights and AI recommendations

Improved cross-department collaboration through shared dashboards

Scalable deployment options with Azure integration across geographies

By combining Power Automation, Power Apps, Microsoft Power BI, and Microsoft RPA, organizations build unified business intelligence ecosystems capable of scaling as they grow.

VBeyond Digital’s Role

VBeyond Digital provides end-to-end consulting for businesses seeking to maximize the potential of Microsoft Power BI. With structured services covering design, deployment, and optimization, their team helps businesses achieve both quick wins and long-term reporting success.

Their expertise extends beyond dashboard creation — supporting Power Automation setup, Azure integration, custom low code app development with Power Apps, and bot-assisted reporting using Power Virtual Agents. This creates a holistic solution that connects reporting, automation, and process management.

VBeyond Digital ensures that each deployment is aligned to the client’s goals, offering both technical precision and business context in every Power BI project.

Conclusion

Microsoft Power BI is more than a reporting tool; it’s a business enabler that integrates automation, low-code customization, and conversational interfaces to deliver meaningful insights across the organization. Companies looking to optimize their data strategy can benefit significantly from a well-planned integration approach combining Power Automation, Power Apps, Microsoft RPA, and Azure integration.

VBeyond Digital stands as a trusted partner in this journey, providing the technical guidance and process knowledge required to build robust, scalable, and intelligent reporting systems.

[hiringjournal]

Hire RPA developer from Uplers in just one click.

[full-stackmobiledeveloper]

Behind the Code: How AI Is Quietly Reshaping Software Development and the Top Risks You Must Know

AI Software Development

In 2025, artificial intelligence (AI) is no longer just a buzzword; it has become a driving force behind the scenes, transforming software development. From AI-powered code generation to advanced testing tools, machine learning (ML) and deep learning (DL) are significantly influencing how developers build, test, and deploy applications. While these innovations offer speed, accuracy, and automation, they also introduce subtle yet critical risks that businesses and developers must not overlook. This blog examines how AI is transforming the software development lifecycle and identifies the key risks associated with this evolution.

The Rise of AI in Software Development

Artificial intelligence, machine learning, and deep learning are becoming foundational to modern software engineering. AI tools like ChatGPT, Copilot, and various open AI platforms assist in code suggestions, bug detection, documentation generation, and even architectural decisions. These tools not only reduce development time but also enable less-experienced developers to produce quality code.

Examples of AI in Development:

- AI Chat Bots: Provide 24/7 customer support and collect feedback.

- AI-Powered Code Review: Analyze code for bugs, security flaws, and performance issues.

- Natural Language Processing (NLP): Translate user stories into code or test cases.

- AI for DevOps: Use predictive analytics for server load and automate CI/CD pipelines.

With AI chat platforms, free AI chatbots, and robotic process automation (RPA), the lines between human and machine collaboration are increasingly blurred.

The Hidden Risks of AI in Application Development

While AI offers numerous benefits, it also introduces potential vulnerabilities and unintended consequences. Here are the top risks associated with integrating AI into the development pipeline:

1. Over-Reliance on AI Tools

   Over-reliance on AI tools may reduce developer skills and code quality:

     - A decline in critical thinking and analytical skills.

     - Propagation of inefficient or insecure code patterns.

     - Reduced understanding of the software being developed.

2. Bias in Machine Learning Models

     AI and ML trained on biased or incomplete data can produce skewed results:

     -Applications may produce discriminatory or inaccurate results.

     -Risks include brand damage and legal issues in regulated sectors like retail or finance.

3. Security Vulnerabilities

     AI-generated code may introduce hidden bugs or create opportunities for exploitation:

     -Many AI tools scrape open-source data, which might include insecure or outdated libraries.

     -Hackers could manipulate AI-generated models for malicious purposes.

4. Data Privacy and Compliance Issues

    AI models often need large datasets with sensitive information:

    -Misuse or leakage of data can lead to compliance violations (e.g., GDPR).

    -Using tools like Google AI Chat or OpenAI Chatbots can raise data storage concerns.

5. Transparency and Explainability Challenges

   Understanding AI, especially deep learning decisions, is challenging:

   -A lack of explainability complicates debugging processes.

   -There are regulatory issues in industries that require audit trails (e.g., insurance, healthcare).

AI and Its Influence Across Development Phases

Planning & Design: AI platforms analyze historical data to forecast project timelines and resource allocation.

Risks: False assumptions from inaccurate historical data can mislead project planning.

Coding: AI-powered IDEs and assistants suggest code snippets, auto-complete functions, and generate boilerplate code.

Risks: AI chatbots may overlook edge cases or scalability concerns.

Testing: Automated test case generation using AI ensures broader coverage in less time.

Risks: AI might miss human-centric use cases and unique behavioral scenarios.

Deployment & Maintenance: AI helps predict failures and automates software patching using computer vision and ML.

Risks:False positives or missed anomalies in logs could lead to outages.

The Role of AI in Retail, RPA, and Computer Vision

Industries such as retail and manufacturing are increasingly integrating AI. 

In Retail: AI is used for chatbots, customer data analytics, and inventory management tools, enhancing personalized shopping experiences through machine learning and deep learning.

Risk: Over-personalization and surveillance-like tracking raise ethical concerns.

In RPA: Robotic Process Automation tools simplify repetitive back-end tasks. AI adds decision-making capabilities to RPA.

Risk: Errors in automation can lead to large-scale operational failures.

In Computer Vision: AI is applied in image classification, facial recognition, and quality control.

Risk: Misclassification or identity-related issues could lead to regulatory scrutiny.

Navigating the Risks: Best Practices

To safely harness the power of AI in development, businesses should adopt strategic measures, such as establishing AI ethics policies and defining acceptable use guidelines. 

By understanding the transformative power of AI and proactively addressing its risks, organizations can better position themselves for a successful future in software development. Key Recommendations:

Audit and regularly update AI datasets to avoid bias.

Use explainable AI models where possible.

Train developers on AI tools while reinforcing core engineering skills.

Ensure AI integrations comply with data protection and security standards.

Final Thoughts: Embracing AI While Staying Secure

AI, ML, and DL have revolutionized software development, enabling automation, accuracy, and innovation. However, they bring complex risks that require careful management. Organizations must adopt a balanced approach—leveraging the strengths of AI platforms like GPT chat AI, open chat AI, and RPA tools while maintaining strict oversight.

As we move forward, embracing AI in a responsible and informed manner is critical. From enterprise AI adoption to computer vision applications, businesses that align technological growth with ethical and secure practices will lead the future of development.

[solutionmindfire]

The healthcare industry is constantly striving to improve efficiency, accuracy, and patient care. While dedicated medical professionals are the heart of any hospital, Information Technology (IT) offers a powerful tool to revolutionize day-to-day operations through automation. By leveraging automation technologies like Robotic Process Automation (RPA) and Artificial Intelligence (AI), hospitals can streamline workflows, reduce errors, and empower staff to focus on what matters most: their patients.

[voxtustechnologies]

From Complexity to Simplicity - RPA Solutions Tailored for your Business Needs.

For RPA related-services contact us at +91-8630235507 or visit our website at www.voxtus.com

[kddicorporations]

All You Need to Know about Robotic Process Automation If users encounter any challenges while using RPA, they can also opt for short-term on-site trainings to help them acquire the essential skills for effectively utilising the RPA development platform.

[kamalkafir-blog]

Interface Engineer En & EW

Job title: Interface Engineer En & EW Company: Mactech Energy Group Job description: Interface Engineer – En & EW 1210ADS Based in our London office with hybrid working available Closing date: 8th… on from the success of Hinkley Point C (HPC), the SZC Project is a nuclear new build project in Suffolk, which has obtained… Expected salary: £620 per day Location: London Job date: Fri, 27 Jun 2025…

[luminouseidolontome]

Expert RPA Professional Course in Pune | Knowlyft Academy

Knowlyft Academy Certified RPA Training in Pune (411014) will train you to become an RPA Expert. Master the working of UiPath, Blue Prism, and other automation tools through industry-oriented modules.

[hiringjournal]

Automate and Elevate: Why You Should Hire RPA Developers

Checkout this infographic to learn on why to hire RPA developer and what are the possible benefits.

[full-stackmobiledeveloper]

Elevate Your Mobile App with AI & Chatbots Build Your AI-Powered App: Unlock Next-Gen Capabilities Master the integration of AI and chatbots with our 2025 guide, designed to help you create next-gen mobile applications boasting unmatched intelligence. Ready to elevate? This comprehensive guide equips you with the knowledge to seamlessly integrate AI chatbots and advanced AI into your mobile app for a truly intelligent and future-ready solution.

[voxtustechnologies]

From Complexity to Simplicity - RPA Solutions Tailored for your Business Needs.

For RPA related-services contact us at +91-8630235507 or visit our website at www.voxtus.com