#ThirdEye AI

[thirdeye-ai]

Real-Time Machine Monitoring: Making the Shopfloor Smarter with Live Data

In any manufacturing factory — whether you’re working with cut-to-length lines, stamping machines, blanking presses, die casting units, welding stations, reeling machines, peeling lines, or coil handling systems — knowing what’s happening on the shop floor in real time is very important. These machines are the backbone of daily production, and even a small delay or breakdown can affect the whole shift’s output.

Real-time machine monitoring helps you keep track of your machines every second. It shows live updates about machine status, production count, downtime, and other key details. With this system in place, everyone — from the operator on the floor to the supervisor and plant manager — can take quick action based on accurate information.

Why Real-Time Data Is Important

Factories that still depend on manual entries or end-of-shift reports often miss out on what really happens during production. When you don’t know a machine has been down for 20 minutes or is running slower than usual, you can’t fix the problem in time.

A machine monitoring system collects live data such as:

Machine running or stopped

Cycle time and part count

Downtime reason (like tool change or material wait)

Rejected pieces

This gives the team real-time visibility. Whether you’re running a stamping machine or working at a welding station, you can spot the problem as soon as it happens and take action right away.

How It Helps Everyone on the Shopfloor

Operators Operators can clearly see their live production count, target, and any machine alerts on the screen. This helps them understand if they’re on track or need support.

Line Supervisors Supervisors can watch multiple machines at once. If one machine goes down or is slower than others, they get notified and can act quickly. They don’t have to wait till the end of the shift to see what went wrong.

Plant Managers Managers can see overall performance — like how many parts were made, which machines had the most downtime, and which lines are underperforming. This helps them plan better and take smarter decisions.

Making Day-to-Day Work More Effective

When everyone on the floor has access to the same live data, there’s better coordination. Operators know their targets, supervisors know where help is needed, and managers can take timely action. This reduces delays and confusion and helps the factory run more smoothly.

No more waiting for end-of-day reports. No more guesswork. Everyone works based on real-time facts, which means problems are fixed faster and production stays on track.

Conclusion

Machine monitoring helps factories become smarter and more responsive. Instead of waiting for problems to show up, you can now catch them early and fix them quickly.

Whether you’re cutting sheets, casting parts, or assembling components, this system helps reduce downtime, improve quality, and increase daily output. It’s a simple way to bring real-time control to your factory floor.

If your machines could speak, they’d tell you what’s going on. Now, with real-time monitoring, they finally do.

[fangbeach]

IDK where I found this, but I really dig it.

[bestcomputerclassesinjaipur]

Best Computer Classes in Jaipur

n today’s digital-first world, computer literacy is no longer optional—it's essential. Whether you're a student planning your career or a professional looking to upgrade your skills, computer classes can be your gateway to endless opportunities. At ThirdEye Computer Classes, we’re committed to empowering individuals with the knowledge and tools they need to thrive in a competitive world.

Why Computer Classes Matter

Computers are at the core of every industry—be it finance, healthcare, education, entertainment, or technology. Learning computer skills opens the door to a wide range of careers, including:

Web Development

Graphic Design

Animation & VFX

Software Development

Digital Marketing

Data Entry and Office Automation

Cybersecurity

AI and Machine Learning

https://thirdeyeclasses.com/

[thirdeyedata]

Mastering Generative AI Product Management: A Comprehensive Guide

In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force reshaping industries and redefining product development paradigms. As organizations strive to harness the potential of Generative AI, the role of Product Managers becomes pivotal in steering projects towards success. Recognizing this, ThirdEye Data presents a comprehensive checklist tailored for Generative AI Product Managers, emphasizing the critical aspects of data readiness and governance. This checklist serves as an invaluable tool, ensuring that AI initiatives are built on a foundation of robust data practices and ethical considerations. For those interested in exploring broader applications, the series on MDM & Data Governance Use Cases offers insightful perspectives on building responsible AI systems.

The Imperative of Data Readiness in Generative AI

Understanding the Role of Data in AI Systems

Data serves as the lifeblood of any AI system. In the context of Generative AI, the quality, consistency, and governance of data directly influence the performance and reliability of the models. Product Managers must prioritize data readiness to ensure that AI outputs are accurate, unbiased, and aligned with business objectives.

Challenges in Data Management for AI

Managing data for AI applications presents unique challenges, including handling vast volumes of data, ensuring data privacy, and maintaining data integrity. Product Managers must navigate these complexities, implementing strategies that address data silos, inconsistent metrics, and compliance requirements.

The Generative AI Product Manager's Checklist

1. Data Quality & Management

Master Data Management (MDM): Ensure that MDM practices are in place to maintain a single source of truth across the organization.

Data Quality Rules: Establish clear rules to validate data accuracy, completeness, and consistency.

Data Cataloging: Implement data catalogs to facilitate data discovery and understanding.

Data Lineage Tracking: Monitor data flow from source to destination to ensure transparency and traceability.

Data Cleanup Processes: Regularly cleanse data to eliminate redundancies and errors.

2. Model Governance

Model Stewardship: Assign ownership for each model to oversee its lifecycle and performance.

Input and Output Logging: Maintain logs of model inputs and outputs for auditing and troubleshooting.

Performance Metrics Reporting: Regularly evaluate model performance against predefined metrics.

Change Management: Implement processes to manage and document changes to models.

Version Control: Archive different versions of models along with their training data.

3. Responsible & Ethical AI Use

Bias Assessment: Conduct regular assessments to identify and mitigate biases in AI models.

Model Datasheets: Publish detailed documentation outlining model characteristics and intended use.

Fairness Testing: Evaluate models for fairness across diverse user groups.

Human Oversight: Engage human reviewers for outputs, especially in sensitive applications.

Ethics Review Board: Establish a board to oversee ethical considerations in AI deployments.

4. Data Privacy & Security

PII Anonymization: Ensure that personally identifiable information is anonymized or removed.

Data Encryption: Apply encryption to data at rest and in transit.

Access Controls: Implement strict access controls based on the principle of least privilege.

Model Security: Protect models from vulnerabilities such as prompt injections.LinkedIn

Prompt Logging: Audit prompt logs to monitor usage and detect anomalies.

5. Regulatory & Policy Compliance

Legal Alignment: Ensure AI governance policies comply with regulations like GDPR and CCPA.LinkedIn+1LinkedIn+1

Data Localization: Adhere to data localization laws pertinent to the regions of operation.

Training Data Permissions: Verify that training data usage complies with licensing agreements.WSJ

Compliance Documentation: Maintain thorough documentation to demonstrate compliance efforts.

Third-Party Vetting: Assess third-party tools and models for legal and ethical compliance.

6. Organizational Readiness & Training

Staff Training: Educate staff on data stewardship and Generative AI usage policies.

Role Definition: Clearly define roles and responsibilities related to AI oversight.Project Management

Incident Response Plans: Develop plans to address AI-related incidents promptly.

Internal Communication: Establish channels to disseminate updates on AI risks and policies.

Executive Sponsorship: Secure commitment from leadership to prioritize AI governance.LinkedIn

7. Continuous Improvement

User Feedback Loops: Implement mechanisms to gather and act on user feedback.

Performance Monitoring: Continuously monitor AI systems to identify areas for enhancement.

Regular Audits: Conduct periodic audits to ensure ongoing compliance and performance.

Innovation Encouragement: Foster a culture that encourages innovation while maintaining governance standards.

Benchmarking: Compare AI systems against industry standards to identify improvement opportunities.

Integrating the Checklist into Product Management Practices

Embedding Governance in the Product Lifecycle

Integrating the checklist into the product development lifecycle ensures that data governance and ethical considerations are addressed from the outset. This proactive approach minimizes risks and fosters trust among stakeholders.

Collaboration Across Departments

Effective Generative AI product management requires collaboration between product managers, data scientists, legal teams, and other stakeholders. By working together, organizations can ensure that AI initiatives are aligned with business goals and regulatory requirements.

Continuous Learning and Adaptation

The field of AI is dynamic, necessitating a commitment to continuous learning. Product Managers should stay abreast of emerging trends, technologies, and regulations to adapt their strategies accordingly

Conclusion: Paving the Way for Responsible AI Innovation

The journey of integrating Generative AI into products is fraught with challenges, but with a structured approach emphasizing data readiness and governance, Product Managers can navigate this landscape effectively. ThirdEye Data's checklist serves as a foundational tool in this endeavor, promoting responsible AI innovation. For those seeking to delve deeper into the intricacies of data governance and its applications, the series on MDM & Data Governance Use Cases provides a wealth of knowledge and practical insights.

[komalrajput3]

Unlocking Data Excellence with Informatica and ThirdEye Data

In the era of digital transformation, data is not just a byproduct of business operations—it’s a core strategic asset. But to harness its full potential, organizations need intelligent, scalable, and secure data management tools. Enter Informatica, a global leader in enterprise cloud data management. With robust solutions spanning data integration, cataloging, and master data management (MDM), Informatica helps enterprises create a solid data foundation for innovation and compliance.

At ThirdEye Data, we specialize in implementing Informatica’s powerful suite to help businesses turn data into actionable insights, ensure regulatory compliance, and drive operational efficiency.

Why Informatica?

Informatica is widely trusted for its mature capabilities and visionary approach to managing enterprise data. We particularly recommend its Master Data Management (MDM) module, which embeds industry best practices into its core design—empowering businesses of all sizes to build consistent, accurate, and governed master data across subject areas.

Additionally, Informatica’s data cataloging capabilities offer both technical and business perspectives, making data easily discoverable and accessible. While there’s room for innovation in metadata hierarchy and UI design, the platform’s overall feature richness and maturity make it a cornerstone of modern data governance strategies.

Key Capabilities of Informatica as a Data Governance Tool

AI-Powered CLAIRE Engine CLAIRE, Informatica’s metadata-driven AI engine, automates critical data management tasks—enhancing productivity, accuracy, and decision-making.

Enterprise Cloud Connectivity Informatica supports seamless integration across hybrid, multi-cloud, and on-premises environments, ensuring data agility and accessibility.

Data Integration & ETL With powerful ETL tools, Informatica enables the unification of data from diverse sources—supporting analytics, reporting, and data warehousing initiatives.

Data Governance & Compliance The platform includes built-in governance features to support regulatory compliance with GDPR, CCPA, HIPAA, and more—facilitating secure and auditable data practices.

Master Data Management (MDM) Informatica MDM delivers a single, trusted view of critical business entities, enhancing customer experiences, operational efficiency, and business intelligence.

Data Quality & Observability Automated data quality checks, anomaly detection, and real-time monitoring help organizations maintain data integrity at scale.

Partnering with ThirdEye Data for Informatica Success

As an official Informatica partner, ThirdEye Data brings years of hands-on experience across industries in deploying, customizing, and scaling Informatica solutions. Our experts ensure every implementation aligns with your business goals and delivers long-term value.

What We Offer

End-to-End Informatica Implementation From initial assessments to deployment and ongoing support, we provide full-cycle Informatica implementation tailored to your enterprise needs.

Seamless Integration with Existing Infrastructure We ensure Informatica integrates effortlessly with your existing tech stack, including data lakes, BI platforms, CRMs, and AI/ML pipelines.

Custom Governance & Compliance Solutions Our governance experts design and implement robust data governance frameworks that automate compliance, access control, data masking, and stewardship workflows.

AI-Driven Data Quality & Observability We help enterprises deploy real-time data quality monitoring and remediation powered by Informatica’s AI capabilities—ensuring clean, reliable data across business functions.

Why Choose ThirdEye Data?

57+ Projects Delivered Across Industries

8+ Years of Specialized Experience

14+ Cutting-Edge Tools & Technologies

40+ Certified Data Experts

Take the Next Step in Your Data Journey

Modern businesses thrive on clean, governed, and connected data. With Informatica’s best-in-class data management platform and ThirdEye Data’s proven expertise, you can confidently build a scalable, intelligent, and compliant data ecosystem.

Ready to get started? Talk to our data governance consultants today.

[babyawacs]

#deeperthanyouknow  .@law @law @france24 @bbc_whys @dw @phoenix_de @bild @deutschland @law @harvard_law @bbc_whys @scotusblog @all @world ‎ #gamer #complementary #aided_them_save_money ? #warm #sabrina #mercyalw ays #human_condition #on_ai #longterm_security_policy_beneath_chancellor_secrecy_layer #incident_count _incident_severity_incident_causality #demystified #correlation #thedogs #why  ‎ heres_to_personal_struggles_overcome #notcool_lowest _points_in_life_many_dont_survive_these #top3 #sillifone #you_aid_them_save_money #sleazy_fests_ best_intent #hitting_eachothers_pets_in_criminal_securitypolicy_framed_as #understandable #judges #knew #misguided #survive #who_knows_who_you_join_and_what_you_build_then #admitted #targettedindividual #arbitrarily #instant_satisfaction #kid_pegged_on_hood #solidarised #theopposite #revolutioner #skype #causing #friv #andthe #misguided ? #howmany #santa #derailed #associati on #forensic #sexuality #and #development #knew #criminalsecuritypolicy #idiocy #ugh #victimfliptrick #typical #nunnsthegoodguys #thirdeye  #sintel #simple #find #system #experimented #whocanno tquell #russian_method #surveilled #psychological_hercules #hopeprinceoccasionally #allalong #descriptive_deedty pe_find_alice_in_wonderland #whyelse ‎#notambiguous #because  #additionally #notashamed #itisgermany #recruit #theproof #theyknew #doingwrong #typicalgermany #criminalsecurit ypolicy #russianmethod #well #germandeserve #criminalgovernance ‎ #criminalsecuritypolicy #because #andwitne ssprotect ? #alibi #persons #stigma #basics #2001 #2002 #takingon ‎#simply #frivolouslawsuits #deepc ontrol #itisgermany #witnessprotect #because #targettedindividuals #bagateldetails #and #you #relabelling #idontthinkyouunderstand #23years #believe #demand #what #are #you #what_are_you #when #clowns #bluemangroup #had #one #is #and #themercy ? #mercy #civility #transpare ncy #isit #really #them #ohreally ‎

#deeperthanyouknow .@law @law @france24 @bbc_whys @dw @phoenix_de @bild @deutschland @law @harvard_law @bbc_whys @scotusblog @all @world #gamer #complementary #aided_them_save_money ? #warm #sabrina #mercyalways #human_condition #on_ai #longterm_security_policy_beneath_chancellor_secrecy_layer #incident_count_incident_severity_incident_causality #demystified #correlation #thedogs #why…

[andrewsjoey17]

AI industry is now booming in the software world. AI has changed the game for all the industries. The AI Market is growing rapidly nowadays. The AI development companies play a crucial role in developing such AI applications. 

Here are the top 10 AI development companies : 

eSparkBiz

WESOFTYOU

Ballast Lane Applications

Dotcode

Binariks

Launchpad Impact Ventures

 SJ Innovation

Yellow

Taction Software

ThirdEye Data

If you want to know more about these companies, read this blog 

[faronmckenzie]

Your True Essence

Look, my child, it’s simple. Your true essence is light. Light cannot be damaged, altered, or changed.

It can change direction, yes, but it will always be light.

Matter, solid things, density, darkness… those things can be dented, altered, damaged, changed.

In other words, your temporary illusion on this body can appear to be forever wounded.

Your Truth, Your Light, is eternally perfect.

[thisisnotacidtest-blog]

Transcendence, Kiss the Mothers and Sisters of Lemuria Spell 🌿💚👁 #art #illustration #watercolor #ink #coloredpencil #psychedelia #alchemy #magick #tarot #future #roots #ai #lotus #moon #circuitry #lemuria #thirdeye #perception #harmony #om

[thirdeye-ai]

Real-Time Detection of PPE Compliance: Ensuring Safety on the Shop Floor

In manufacturing environments, safety is paramount. Workers face potential hazards every day, and ensuring that they wear the necessary Personal Protective Equipment (PPE) is a critical step in reducing the risk of injuries. However, manually monitoring PPE compliance can be inefficient and prone to oversight. This is where AI-powered surveillance and computer vision algorithms come in, offering a more reliable, efficient, and proactive approach to PPE monitoring.

AI-Powered CCTV Monitoring: Safeguarding the Workplace

At the core of this approach are high-definition CCTV cameras, placed at strategic locations throughout the manufacturing site. These cameras cover key areas such as entrances, workstations, machinery zones, and production lines. The cameras provide continuous video feeds of workers in real-time, ensuring no part of the facility is left unmonitored.

The live video feed is analyzed by AI-driven computer vision, which evaluates each frame and identifies workers wearing the required PPE, like helmets, gloves, safety vests, and shoes. By leveraging machine learning models trained on vast amounts of data, the system accurately identifies the necessary safety gear for each task.

Real-Time PPE Detection: Accurate and Instant Feedback

The technology doesn’t just detect PPE; it provides continuous monitoring and real-time insights into compliance. As workers move about the facility, it scans for PPE adherence. If a worker fails to wear the required safety gear, such as a helmet, gloves, or shoes, the detection process immediately flags the violation.

For example, if a worker momentarily removes their helmet while operating machinery, the system detects this and highlights it as a violation. This constant vigilance ensures that no safety lapse goes unnoticed, making the entire process more efficient and effective.

Instant Alerts: Ensuring Immediate Action

Once a violation is detected, an instant alert is triggered. The alert can come in the form of audible alarms, push notifications to safety officers, or visual cues overlaid on the live video feed.

The instant feedback drives immediate corrective action, allowing workers to rectify their compliance issues as soon as they are identified. Supervisors can quickly respond to the situation, minimizing exposure to potential hazards and ensuring a safer working environment.

Proactive Safety: Identifying Unsafe Acts and Conditions

In addition to ensuring PPE compliance, the technology actively monitors for unsafe acts or unsafe conditions. For instance, it can identify workers operating machinery without proper guards, walking in restricted areas, or handling hazardous materials without the appropriate protective gear.

By analyzing real-time video, this approach identifies these risks and issues alerting for immediate attention. This proactive monitoring helps reduce accidents by addressing problems before they escalate into safety incidents.

Streamlining Operations: Automating Safety Checks

Traditionally, monitoring PPE compliance required regular manual inspections, which were often time-consuming and error-prone. With AI-powered monitoring, these inspections become automated, significantly reducing the workload for safety officers and freeing them to focus on other critical tasks such as hazard assessments and safety training.

Automation not only makes the process more efficient but also ensures that compliance is continuously checked, leaving no room for oversight.

Accountability and Transparency: Tracking Compliance

One of the major advantages of using this technology is its ability to track compliance incidents. Each violation is logged with detailed information, such as the time, location, and a snapshot from the video footage. This creates a transparent record of safety breaches and the actions taken to address them.

This documentation is invaluable during audits or regulatory inspections. It provides clear evidence of the company’s efforts to maintain a safe working environment, as well as insights into areas for improvement in safety practices.

Regulatory Compliance: Meeting Safety Standards

Manufacturing environments are heavily regulated, and adhering to safety regulations is critical to avoid costly penalties. With the AI-powered surveillance system, facilities ensure that they consistently meet safety standards by providing continuous, real-time monitoring of PPE use.

By logging every compliance incident and generating detailed reports, manufacturers stay ahead of regulatory requirements. This proactive approach not only helps avoid penalties but also continuously improves safety protocols, ensuring compliance with industry standards.

Conclusion: Smarter, Safer, and More Efficient Manufacturing

Integrating AI-powered CCTV surveillance and computer vision-based PPE monitoring offers a smarter and more efficient way to ensure workplace safety. By offering continuous monitoring and real-time alerts for PPE compliance violations, manufacturers can significantly reduce the risk of accidents and injuries.

This solution enhances operational efficiency, accountability, and regulatory compliance, creating a safer environment for workers and allowing businesses to stay ahead of safety regulations. Through AI-driven vigilance, manufacturers can make workplaces safer, smarter, and more efficient.

[optisol]

Top 5 Artificial Intelligence Solution Providers - 2019

Artificial intelligence is being embraced by several industries including manufacturing, automation, finance, agriculture, education, healthcare, and other industry verticals. Big companies like IBM, Amazon Web Services, and Siemens are funding AI startups and are also merging and acquiring small AI companies.

There’s no doubt that the manufacturing sector is leading the way in the application of artificial intelligence technology. From significant cuts in unplanned downtime to better designed products, manufacturers are applying AI-powered analytics to data to improve efficiency, product quality and the safety of employees. Artificial intelligence is also changing the way we design products. One method is to enter a detailed brief defined by designers and engineers as input into an AI algorithm (in this case referred to as “generative design software”).

We present you “Top 5 Artificial Intelligence Solution Providers - 2019. These are the ones that are at the forefront of bringing elementary change in the AI landscape. The companies listed in this issue are early adopters of the AI technology and brings innovative strategies for the advancement of the same.

1. AppZen - AppZen’s SaaS platform leverages AI to automate the entire auditing process of a company’s spending. AppZen mission is to help modern finance teams lead the way with artificial intelligence. From bankrolling blockbuster ideas to steering the company out of trouble.

2. ThirdEye Data - A one-stop shop for Data Sciences, Analytics & Engineering services and products. A Silicon Valley based one-stop-shop for Data Engineering and Data Science services & products. ThirdEye answers all data questions and offers actionable insights, real-world experiences and strategic recommendations.

3. OptiSol Business Solutions - OptiSol provided end to end AI solution for all verticals. Be it Vision Analytics that train algorithms to detect humans and their gestures for context of many use cases (or) Text Analytics that build a searchable knowledge graph and actionable insights (or) Conversational AI, the Powerful AI engine trained on reams of data to understand customer needs - OptiSol can help you with all. OptiSol posses Technology capabilities across platforms that makes them a pioneer in this market.

4. AiBrain - AiBrain is an artificial intelligence solutions company based out of California. As one of the world’s pioneering developers of A.I. and automation software, their main focus it developing an A.I. complete with human-like problem solving, learning and memory capacity.

5. Mobvoi - Mobvoi is another Chinese based A.I. startup that is known for its Chinese voice recognition, natural language processing, and vertical search technologies software that it developed. Mobvoi was founded in 2012 with a core team that included several ex-Google employees and A.I. experts.

Gartner estimates that the market value of AI-driven projects will worth $3.9 trillion by the fiscal year 2022. In the days ahead, AI will play a pivotal role in eliminating mindless busywork and making people more efficient, valuable, and productive.

[chexawe]

Reposted from @locdup_yetfree (@get_regrann) - So yea... 🤔 This #assault on #privacy is far beyond what most people think 💡 #shorthand #negotiation #bizarre #language #programs #AI #pinealgland #Knowledge #awareness #freedomthinker #freethinkers #consciousness #anonymous #conspiracy #newworldorder #truth #truthseeker #sheeple #wakeup #thirdeye #government #decalcifyyourpinealgland #higherconsciousness #conscious #staywoke https://www.instagram.com/p/B1bfoFaHY9WlDUbn9ujJElIn6SVYLOfsJ2fsws0/?igshid=g2b5qi69ivhz

[thirdeyedata]

Optimizing Enterprises with Data and AI Services, Products & Solutions ThirdEye Data is a Silicon Valley-based AI and data science company specializing in enterprise-grade solutions. With over a decade of experience, they deliver services in generative AI, data engineering, NLP, computer vision, and predictive analytics to help businesses make informed, data-driven decisions.

visit Now : https://thirdeyedata.ai/chatgpt-like-chatbot-on-image-based-data/

[johnlwheeler]

Lost in Space... Get lost in a world beyond our own with this stunning AI image of an astronaut adrift in the vast expanse of the galaxy. The vibrant and exquisite colors of the cosmos are brought to life in this artwork, making it a mesmerizing sight to behold. As the astronaut floats in the vastness of space, we are reminded of the mysteries and wonders that lie beyond our earthly realm. This image captures the essence of the human desire for exploration and the awe-inspiring beauty of the universe we inhabit. Get ready to lose yourself in this captivating vision of the cosmos.

#spaceman#lost#lostplace#lostplaces#forgotten#forgottenplaces#in#the#astronaut#nebula#planet#space#nasa#galaxy#astronomy#universe#cosmos#science#stars#milkyway#astrophotography#nightsky#consciousness#spiritual#spirituality#thirdeye#dmt#trippy#psychedelicart#psychedelic

[babyawacs]

#gamer #complementary #aided_them_save_money ? #warm #sabrina #mercyalw ays #human_condition #on_ai #longterm_security_policy_beneath_chancellor_secrecy_layer #incident_count _incident_severity_incident_causality #demystified #correlation #thedogs #why  .@law @law @france24 @bbc_whys @dw @phoenix_de @bild @deutschland @law @harvard_law @bbc_whys @scotusblog @all @wor ld heres_to_personal_struggles_overcome #notcool_lowest _points_in_life_many_dont_survive_these #top3 #sillifone #you_aid_them_save_money #sleazy_fests_ best_intent #hitting_eachothers_pets_in_criminal_securitypolicy_framed_as #understandable #judges #knew #misguided #survive #who_knows_who_you_join_and_what_you_build_then #admitted #targettedindividual #arbitrarily #instant_satisfaction #kid_pegged_on_hood #solidarised #theopposite #revolutioner #skype #causing #friv #andthe #misguided ? #howmany #santa #derailed #associati on #forensic #sexuality #and #development #knew #criminalsecuritypolicy #idiocy #ugh #victimfliptrick #typical #nunnsthegoodguys #thirdeye  #sintel #simple #find #system #experimented #whocanno tquell #russian_method #surveilled #psychological_hercules #hopeprinceoccasionally #allalong #descriptive_deedty pe_find_alice_in_wonderland #whyelse ‎#notambiguous #because  #additionally #notashamed #itisgermany #recruit #theproof #theyknew #doingwrong #typicalgermany #criminalsecurit ypolicy #russianmethod #well #germandeserve #criminalgovernance ‎ #criminalsecuritypolicy #because #andwitne ssprotect ? #alibi #persons #stigma #basics #2001 #2002 #takingon ‎#simply #frivolouslawsuits #deepc ontrol #itisgermany #witnessprotect #because #targettedindividuals #bagateldetails #and #you #relabelling #idontthinkyouunderstand #23years #believe #demand #what #are #you #what_are_you #when #clowns #bluemangroup #had #one #is #and #themercy ? #mercy #civility #transpare ncy #isit #really #them #ohreally ‎ side aspect of the case : 2001 2002 #howitallstarted #howitallbegan afterwards : because i was gamer :  #keypoint did verfassungsschutz consider a reward as career in videogames find it theyknew they screwedup and the case an innocent civillian itjust didntmatter /////

#gamer #complementary #aided_them_save_money ? #warm #sabrina #mercyalways #human_condition #on_ai #longterm_security_policy_beneath_chancellor_secrecy_layer #incident_count_incident_severity_incident_causality #demystified #correlation #thedogs #why .@law @law @france24 @bbc_whys @dw @phoenix_de @bild @deutschland @law @harvard_law @bbc_whys @scotusblog @all…

[smitpatel1420]

Top 20 AI Software Development Companies in India

Artificial intelligence (AI) is rapidly transforming a number of industries around the globe, including in India. Due to its highly educated population and rapidly growing technology industry, India has become a hub for hiring Top AI software development companies. Innovative AI products from these companies, like chatbots and natural language processing, help businesses automate processes, improve customer experiences, and spur development. 

List of Top 20 AI software development companies

1. eSparkBiz

2. DataToBiz

3. Talentica Software

4. ThirdEye Data

5. Matellio

6. Wow Blockchain Lab

7. Trigma

8. Tech Vedika Inc

9. ReckonSys

10. Optisol Business Solutions

11. aQb Solutions

12. Valiance Solutions

13. Eminence Technology

14. BotoSynthesis

15. Daten & Wissen

16. Arohatech

17. Ellocent Labs

18. Blackcurrant Labs Pvt LTD

19. Deepiotics

20. Vixspace

These top 20 companies are leaders in their fields and provide top-notch services at competitive rates. This article will help you to find AI Software Development Companies in India.