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25 Biggest Moments in Search, From Helpful Images to AI

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Biggest Moments in Search

Here’s how we’ve made Search more helpful over 25 years — and had a little fun along the way, too.

When Google first launched 25 years ago, it was far from the first search engine. But quickly, Google Search became known for our ability to help connect people to the exact information they were looking for, faster than they ever thought possible.

Over the years, we’ve continued to innovate and make Google Search better every day. From creating entirely new ways to search, to helping millions of businesses connect with customers through search listings and ads (starting with a local lobster business advertising via AdWords in 2001), to having some fun with Doodles and easter eggs — it’s been quite a journey.

For our 25th birthday, we’re looking back at some of the milestones that made Google more helpful in the moments that matter, and played a big role in where Google is today. Learn more about our history in our Search Through Time site.

2001: Google Images

When Jennifer Lopez attended the 2000 Grammy Awards, her daring Versace dress became an instant fashion legend — and the most popular query on Google at the time. Back then, search results were just a list of blue links, so people couldn’t easily find the picture they were looking for. This inspired us to create Google Images.

2001: “Did you mean?”

“Did you mean,” with suggested spelling corrections, was one of our first applications of machine learning. Previously, if your search had a misspelling (like “floorescent”), we’d help you find other pages that had the same misspelling, which aren’t usually the best pages on the topic. Over the years we’ve developed new AI-powered techniques to ensure that even if your finger slips on the keyboard, you can find what you need.

2002: Google News

During the tragic events of September 11, 2001, people struggled to find timely information in Search. To meet the need for real-time news, we launched Google News the following year with links to a diverse set of sources for any given story.

2003: Easter eggs

Googlers have developed many clever Easter eggs hidden in Search over the years. In 2003, one of our first Easter eggs gave the answer to life, the universe and everything, and since then millions of people have turned their pages askew, done a barrel roll, enjoyed a funny recursive loop and celebrated moments in pop culture.

One of our earliest Easter eggs is still available on Search.

2004: Autocomplete

Wouldn’t it be nice to type as quickly as you think? Cue Autocomplete: a feature first launched as “Google Suggest” that automatically predicts queries in the search bar as you start typing. Today, on average, Autocomplete reduces typing by 25% and saves an estimated over 200 years of typing time per day.

2004: Local information

People used to rely on traditional phone books for business information. The web paved the way for local discovery, like “pizza in Chicago” or “haircut 75001.” In 2004, Google Local added relevant information to business listings like maps, directions and reviews. In 2011, we added click to call on mobile, making it easy to get in touch with businesses while you’re on the go. On average, local results in Search drive more than 6.5 billion connections for businesses every month, including phone calls, directions, ordering food and making reservations.

2006: Google Translate

Google researchers started developing machine translation technology in 2002 to tackle language barriers online. Four years later, we launched Google Translate with text translations between Arabic and English. Today, Google Translate supports more than 100 languages, with 24 added last year.

2006: Google Trends

Google Trends was built to help us understand trends on Search with aggregated data (and create our annual Year in Search). Today, Google Trends is the world’s largest free dataset of its kind, enabling journalists, researchers, scholars and brands to learn how searches change over time.

2007: Universal Search

Helpful search results should include relevant information across formats, like links, images, videos, and local results. So we redesigned our systems to search all of the content types at once, decide when and where results should blend in, and deliver results in a clear and intuitive way. The result, Universal Search, was our most radical change to Search at the time.

2008: Google Mobile App

With the arrival of Apple’s App Store, we launched our first Google Mobile App on iPhone. Features like Autocomplete and “My Location” made search easier with fewer key presses, and were especially helpful on smaller screens. Today, there’s so much you can do with the Google app — available on both Android and iOS — from getting help with your math homework with Lens to accessing visual translation tools in just a tap.

2008: Voice Search

In 2008, we introduced the ability to search by voice on the Google Mobile App, expanding to desktop in 2011. With Voice Search, people can search by voice with the touch of a button. Today, search by voice is particularly popular in India, where the percentage of Indians doing daily voice queries is nearly twice the global average.

2009: Emergency Hotlines

Following a suggestion from a mother who had a hard time finding poison control information after her daughter swallowed something potentially dangerous, we created a box for the poison control hotline at the top of the search results page. Since this launch, we’ve elevated emergency hotlines for critical moments in need like suicide prevention.

2011: Search by Image

Sometimes, what you’re searching for can be hard to describe with words. So we launched Search by Image so you can upload any picture or image URL, find out what it is and where else that image is on the web. This update paved the way for Lens later on.

2012: Knowledge Graph

We introduced the Knowledge Graph, a vast collection of people, places and things in the world and how they’re related to one another, to make it easier to get quick answers. Knowledge Panels, the first feature powered by the Knowledge Graph, give you a quick snapshot of information about topics like celebrities, cities and sports teams.

2015: Popular Times: We launched the Popular Times feature in Search and Maps to help people see the busiest times of the day when they search for places like restaurants, stores, and museums.

2016: Discover

By launching a personalized feed (now called Discover) we helped people explore content tailored to their interests right in the Google app, without having to search.

2017: Lens

Google Lens turns your camera into a search query by looking at objects in a picture, comparing them to other images, and ranking those other images based on their similarity and relevance to the original picture. Now, you can search what you see in the Google app. Today, Lens sees more than 12 billion visual searches per month.

2018: Flood forecasting

To help people better prepare for impending floods, we created forecasting models that predict when and where devastating floods will occur with AI. We started these efforts in India and today, we’ve expanded flood warnings to 80 countries.

2019: BERT

A big part of what makes Search helpful is our ability to understand language. In 2018, we introduced and open-sourced a neural network-based technique to train our language understanding models: BERT (Bidirectional Encoder Representations from Transformers). BERT makes Search more helpful by better understanding language, meaning it considers the full context of a word. After rigorous testing in 2019, we applied BERT to more than 70 languages.  Learn more about how BERT works to understand your searches.

2020: Shopping Graph

Online shopping became a whole lot easier and more comprehensive when we made it free for any retailer or brand to show their products on Google. We also introduced Shopping Graph, an AI-powered dataset of constantly-updating products, sellers, brands, reviews and local inventory that today consists of 35 billion product listings.

2020: Hum to Search

We launched Hum to Search in the Google app, so you’ll no longer be frustrated when you can’t remember the tune that’s stuck in your head. The machine learning feature identifies potential song matches after you hum, whistle or sing a melody. You can then explore information on the song and artist.

2021: About this result

To help people make more informed decisions about which results will be most useful and reliable for them, we added “About this result” next to most search results. It explains why a result is being shown to you and gives more context about the content and its source, based on best practices from information literacy experts. ‘About this’ result is now available in all languages where Search is available.

2022: Multisearch

To help you uncover the information you’re looking for — no matter how tricky — we created an entirely new way to search with text and images simultaneously through Multisearch. Now you can snap a photo of your dining set and add the query “coffee table” to find a matching table. First launched in the U.S., Multisearch is now available globally on mobile, in all languages and countries where Lens is available.

2023: Search Labs & Search Generative Experience (SGE)

Every year in Search, we do hundreds of thousands of experiments to figure out how to make Google more helpful for you. With Search Labs, you can test early-stage experiments and share feedback directly with the teams working on them. The first experiment, SGE, brings the power of generative AI directly into Search. You can get the gist of a topic with AI-powered overviews, pointers to explore more and natural ways to ask follow ups. Since launching in the U.S., we’ve rapidly added new capabilities, with more to come.

As someone who’s been following the world of search engines for more than two decades, it’s amazing to reflect on where Google started — and how far we’ve come.

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OPay, Coinbase, Others Crash as Cloudflare Suffers Another Glitch

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Daudu Gotring OPay

By Adedapo Adesanya

Cloudflare Incorporated, a business providing cloud-based services to various enterprises, said in a note on Friday it is investigating issues with its Dashboard and related Application Programming Interfaces (APIs).

Numerous companies and services, including payments platform like OPay as well as Canva, Coinbase Global Incorporated, Investing.com , Shopify Incorporated, and Zoom Video Communications Incorporated, all appeared to crash, with some seeing “500 internal server error” and “Please check your internet connection and try again”.

The global outage has left many users unable to access these key services as this disruption has not only affected individuals but also businesses relying on these platforms for their operations.

Customers using the Dashboard or Cloudflare APIs are impacted as requests might fail and errors may be displayed, the company said on its status page.

In its latest update, Cloudflare added that “a fix has been implemented,” with the firm monitoring the results.

Users from all over the world have taken to social media platform X (formerly Twitter) to voice their frustrations over the issue.

This is Cloudflare’s second major disruption in nearly a month, following another incident in November that affected services like Spotify and ChatGPT.

At the last outage, Cloudflare’s services were largely restored within three hours, and fully restored after approximately five hours.

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Google Unveils AI Skilling Blueprint for Africa

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Google AI Skilling Blueprint for Africa

By Modupe Gbadeyanka

As part of broader Africa-focused Artificial Intelligence (AI) initiatives, Google has launched the AI Skilling Blueprint for Africa, designed to help governments build a future-proof workforce.

The programme provides governments with a comprehensive, step-by-step guide to formulate national skilling strategies. It focuses on developing three critical cohorts: AI Learners, who will gain foundational AI literacy; AI Implementers, professionals upskilled to integrate AI tools into their work; and AI Innovators, deep technical experts dedicated to building the next generation of AI solutions.

Africa is home to the world’s youngest and fastest-growing population. The continent shows immense potential for AI-driven economic growth.

However, new research highlights a significant challenge: while optimism for AI is exceptionally high, reaching 95 per cent in Nigeria and 76 per cent in South Africa, 55 per cent of firms across the continent report needing AI talent more than financing. Closing this skills gap is key to unlocking Africa’s opportunity.

Google’s Vice President of Government Affairs and Public Policy, Doron Avni, explained that, “The AI Skilling Blueprint provides a clear roadmap for governments to build the workforce of the future.

“By also investing in AI-ready data and expert local organisations and partners, we are helping build the interconnected ecosystem needed for a prosperous, AI-driven future for the continent.”

As part of its broader initiatives, Google also announced $2.25 million to support projects building trustworthy public data sets for AI by the UN Economic Commission for Africa (UNECA), the UN Department of Economic and Social Affairs (UN DESA) and PARIS21.

This contribution will help national statistical offices modernize their infrastructure and empower decision-makers with the reliable data they need to address challenges from food security to economic growth.

“For Africa to drive sustainable development, evidence-based policymaking is indispensable. This requires accessible, reliable, and AI-ready data.

“This effort is a crucial step forward. By building a Regional Data Commons, we can empower African institutions with the data and tools they need to make strategic choices that will drive growth and prosperity,” the Executive Secretary of the UN Economic Commission for Africa, Claver Gatete, said.

Finally, building on its $7.5 million Google.org Skilling Fund commitment, Google announced the first set of expert social impact organizations who will receive funding to execute on projects consistent with its skilling mission, including FATE Foundation and the African Institute for Mathematical Sciences (AIMS), which will embed advanced AI curricula into universities; and JA Africa and CyberSafe Foundation, which will advance crucial work in online safety and digital literacy.

“We are incredibly proud to partner with the African Institute of Management Sciences on the Advanced AI UpSkilling Project, with support from Google.org. This groundbreaking initiative is a direct response to the urgent need for deep AI competencies in Africa, empowering tertiary institutions, lecturers, and students in Nigeria, Ghana, Kenya, and South Africa.

“This strategic support aligns perfectly with FATE Foundation’s mission to foster innovation and sustainable economic growth across the continent, ensuring Africa is fully equipped to lead in the global technological future,” the Executive Director for FATE Foundation, Adenike Adeyemi, stated.

“We live in an age defined by rapid technological change and our mission at JA Africa is to ensure that African youth are not left behind. However, even as we engage our youth in more digital programs and encourage AI literacy, we are fully aware of the harmful effects of unchecked online exposure and, therefore, invest equally in protecting their data, physical safety and mental wellbeing.

“Through this support from Google.org, we will give young people the tools, knowledge, and confidence they need to navigate the digital world safely and responsibly,” the chief executive of Junior Achievement Africa, Simi Nwogugu, remarked.

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Zoho Updates All-in-One Business Software Platform Zoho One

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Zoho One Update

By Modupe Gbadeyanka

Global technology firm, Zoho, has enhanced its all-in-one business software platform known as Zoho One with improve security, and deeper intelligence across all over 50 applications.

The company improved the user interface, placing context at the centre of the user journey and removes traditional boundaries between applications.

Spaces now organise tools by purpose—such as Personal, Organisation, and Department-specific groups—enabling employees to access what they need without switching between apps. A centralised search bar spans the entire ecosystem, allowing users to find information or trigger workflows instantly.

An enhanced Action Panel provides a full view of upcoming meetings, unread messages, pending tasks, and other key updates, helping employees remain informed regardless of which app they are using.

The updated Dashboard consolidates data from Zoho and third-party apps into one central hub that can be customised using pre-existing or bespoke widgets.

The platform also introduced Vani, a new visual-first collaboration space that supports brainstorming, planning, and creation through diagrams, whiteboards, mind maps, and integrated video calling.

A central integrations panel enables administrators to monitor and configure all connections. Foundational integrations bring application-specific portals—Zoho or third-party—into a single unified portal. Practical tasks such as domain verification and authentication can now be configured more easily.

The new Smart Offboarding feature introduces outcome-based integrations, allowing organisations to transfer department ownership, manage employee device data, and determine data access rights within a single workflow, ensuring smooth transitions.

Also, Zia, Zoho’s AI assistant, is now accessible throughout Zoho One, providing unified intelligence that supports decision-making and improves productivity. Zia can aggregate and contextualise information from various platforms, including third-party systems such as Google Workspace, and present it as clear, actionable insight.

Zia Hubs, the platform’s intelligent content management system, now has a dedicated space where contracts, meeting recordings, and other important assets are automatically organised. Through Zia Search, employees can quickly surface relevant information without navigating multiple locations.

In addition, Ask Zia, available from the bottom toolbar, enables prompt-based searches across Zoho One, providing quick visibility into schedules, tasks, recent interactions, and other key details.

Commenting on the changes, the Country Head for Zoho Nigeria, Mr Kehinde Ogundare, said, “The Zoho One update reflects how work has evolved from using individual applications to operating within a unified platform.

“Zoho One customers are not simply licensing apps; they are choosing a solution that allows Zoho to handle the technology while they focus on productivity. The enhancements announced today deliver a cohesive experience built on unified integrations, context, and data.”

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