Google for India September event 2019 key highlights

3 minutes, 33 seconds read

Published on Oct 14, 2019

Updated on May 10, 2020

On the 19th of September, India saw the tech giant go all ‘desi’ at the Google for India event 2019. Initiated in the year 2015 the event has ever since introduced features that cater to the Indian masses. From bringing support for various Indic languages onto a number of platforms such as Search, Lens and Bolo; to announcing a new artificial intelligence (AI) based lab in India. Google for India event 2019, saw the company announcing new products and initiatives that are designed specifically for the Indian users.

In addition to this, Google also introduced products and initiatives – such as the Digital Payment Abhiyan and the Vodafone-Idea Phone Line. This would eventually connect more people, especially the ones who are not adept at using technology and live in remote areas that lack internet connectivity.

At #GoogleForIndia today, we announced Google Research India – a new AI research team in Bangalore that will focus on advancing computer science & applying AI research to solve big problems in healthcare, agriculture, education, and more. #GoogleAI https://t.co/hNlwhhxhVx
— Sundar Pichai (@sundarpichai) September 19, 2019

In this blog, let’s have a brush up on all the updates that Google had announced at it’s Google for India event.

7 key takeaways of Google for India event

Google Research India

At the fifth edition of its annual Google for India event, Google announced that it is setting up a research lab focused on artificial intelligence (AI) and its applications in India. Google’s Bengaluru based AI lab, led by Dr Manish Gupta, will focus on two things. Firstly, on the advancement of Computer Science research in India, where it will focus on Machine Learning, Computer Vision, Languages, Speech, Systems, and other related areas. Secondly, it will focus on applying this research to tackle big problems in areas relating to healthcare, agriculture, and education.

Google Pay goes big

Google announced a new Jobs platform that focuses on entry-level jobs that are not easily discoverable online and are often filled via offline channels and backroom hiring centres. It uses Google’s machine learning-based matching algorithm to recommend the best job; scheduling the interview and communicating with their potential employer. As an added bonus, it also has a free CV builder tool.

Introducing the new Jobs Spot on Google Pay, which helps people find entry-level jobs in fast-growing industries like retail, hospitality and on-demand businesses. #GoogleForIndia pic.twitter.com/Ir1LbOkxMy
— Google Pay India (@GooglePayIndia) September 19, 2019

Google India also launched a special version of Google Pay, Google Pay Business, for merchants. It would enable hassle-free digital payments for small merchants and storefronts.

Language decoupling & Interpreter mode in Google Assistant

Now Google Assistant supports a total of nine Indian languages. Being available on all Android, Android Go and KaiOs devices, users will now be able to use a local language simply by saying – “Hey Google, talk to me in Hindi”

Google assistant in google for india key takeaways

Google Assistant will now be able to act as a real-time interpreter between two people who don’t speak the same language. To launch the interpreter mode, all users need to say is – “OK Google, help me speak in Hindi“. This feature will be available on Android and Android Go phones in India in the coming months.

Free public Wi-Fi

“With Google’s ongoing commitment to improving access beyond train stations to villages across India, we have partnered with BSNL to bring fast, reliable and secure public WiFi to villages in Gujarat, Bihar and Maharashtra,” Caesar Sen Gupta, Vice-President, Next Billion Users Initiative and Payments said at the Google for India event while making the announcement.

Taking its Google Station program a step further; Google today announced a partnership with BSNL as a part of which it would provide high-speed public WiFi to villages in Gujarat, Bihar and Maharashtra that are yet to get Wi-Fi connectivity.

Vodafone-Idea Phone Line

Google is partnering with Vodafone-Idea to bring Google Assistant to people in areas with poor internet connectivity. Vodafone users who are still using 2G networks can now call a toll-free number – 000-800-9191-000 – to ask their queries to Google; which would then answer them actively.

Discover gets 7 new languages

Google introduced support for seven different Indian languages in the Discover section of its Google app. This includes — Tamil, Telugu, Bengali, Gujarati, Marathi, Kannada, Malayalam. Support for Oriya, Urdu, Punjabi will be made available in the coming months.

Lens gets smarter and better

Users will be able to translate a road sign or a poster or a menu by taking a photo. They can tap on the translate button and select their prefered language. Using Google Lens users can now tap on a word and launch Search directly to look for the details.

Google Lens users can now tap on a word and launch Search directly to look for the details.

How do you think Google’s new direction would affect the users?
Let us know by commenting, or drop us a Hi at hello@mantralabsglobal.com

Stay tuned for more such industrial event snapshots.

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing, they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human.

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

Google for India- Key Takeaways