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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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Telecom Operators to Issue 14-Day Notice Before SIM Disconnection

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SIM Cards Nigeria

By Adedapo Adesanya

Telecommunications operators in Nigeria will now be required to give subscribers a minimum of 14 days’ notice before deactivating their SIM cards over inactivity or post-paid churn, following a fresh proposal by the Nigerian Communications Commission (NCC).

The proposal is contained in a consultation paper, signed by the Executive Vice Chairman and Chief Executive Officer of the NCC, Mr Aminu Maida, and titled Stakeholders Consultation Process for the Telecoms Identity Risks Management Platform, dated February 26, 2026, and published on the Commission’s website.

Under the proposed amendments to the Quality-of-Service (QoS) Business Rules, the Commission said operators must notify affected subscribers ahead of any planned churn.

“Prior to churning of a post-paid line, the Operator shall send a notification to the affected subscriber through an alternative line or an email on the pending churning of his line,” the document stated.

It added that “this notification shall be sent at least 14 days before the final date for the churn of the number.”

A similar provision was proposed for prepaid subscribers. According to the Commission, operators must equally notify prepaid customers via an alternative line or email at least 14 days before the final churn date.

Currently, under Section 2.3.1 of the QoS Business Rules, a subscriber’s line may be deactivated if it has not been used for six months for a revenue-generating event. If the inactivity persists for another six months, the subscriber risks losing the number entirely, except in cases of proven network-related faults.

The new proposal is part of a broader regulatory review tied to the rollout of the Telecoms Identity Risk Management System (TIRMS), a cross-sector platform designed to curb fraud linked to recycled, swapped and barred mobile numbers.

The NCC explained in the background section of the paper that TIRMS is a secure, regulatory-backed platform that helps prevent fraud stemming from churned, swapped, barred Mobile Station International Subscriber Directory Numbers in Nigeria.

It said this platform will provide a uniform approach for all sectors in relation to the integrity and utilisation of registered MSISDNs on the Nigerian Communications network.

In addition to the 14-day notice requirement, the Commission also proposed that operators must submit details of all churned numbers to TIRMS within seven days of completing the churn process, strengthening oversight and accountability in the system.

The consultation process, which the Commission said is in line with Section 58 of the Nigerian Communications Act 2003, will remain open for 21 days from the date of publication. Stakeholders are expected to submit their comments on or before March 20, 2026.

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Silverbird Honours Interswitch’s Elegbe for Nigeria’s Digital Payments Revolution

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Mitchell Elegbe Interswitch

By Modupe Gbadeyanka

The founder of Interswitch, Mr Mitchell Elegbe, has been honoured for pioneering Nigeria’s digital payments revolution.

At a ceremony in Lagos on Sunday, March 1, 2026, he was bestowed with the 2025 Silverbird Special Achievement Award for shaping Africa’s financial ecosystem.

The Silverbird Special Achievement Award recognises individuals whose innovation, vision, and sustained impact have left an indelible mark on society.

Mr Elegbe described the award as both humbling and symbolic of a broader journey, saying, “This honour represents far more than a personal milestone. It reflects the courage of a team that believed, long before it was fashionable, that Nigeria and Africa could build world-class financial infrastructure.”

“When we started Interswitch, we were driven by a simple but powerful idea that technology could democratise access, unlock opportunity, and enable commerce at scale.

“This recognition by Silverbird strengthens our resolve to continue building systems that empower businesses, support governments, and expand inclusion across the continent,” he said when he received the accolade at the Silverbird Man of the Year Awards ceremony attended by several other dignitaries, whose leadership and contributions continue to shape national development and industry transformation.

In 2002, Mr Elegbe established Interswitch after he was inspired by a bold conviction that technology could fundamentally redefine how value moves within and across economies.

Under his leadership, the company has evolved into one of Africa’s foremost integrated payments and digital commerce companies, powering financial transactions for governments, banks, businesses, and millions of consumers.

Today, much of Nigeria’s electronic payments ecosystem traces its foundational architecture to the systems and rails established under his leadership.

“Mitchell’s journey is inseparable from Nigeria’s digital payments evolution. His foresight and resilience helped establish foundational infrastructure at a time when the ecosystem was still nascent.

“This recognition affirms not only his personal legacy, but the broader impact of Interswitch in enabling commerce and strengthening financial systems across Africa,” the Executive Vice President and Group Marketing and Communications for Interswitch, Ms Cherry Eromosele, commented.

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SERAP Seeks FCCPC Probe into Big Tech’s Impact on Nigeria’s Digital Economy

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SERAP

By Adedapo Adesanya

The Socio-Economic Rights and Accountability Project (SERAP) has called on the Federal Competition and Consumer Protection Commission (FCCPC) to urgently investigate major global technology companies over alleged abuses affecting Nigeria’s digital economy, media freedom, privacy rights and democratic integrity.

In a complaint addressed to the chief executive of FCCPC, Mr Tunji Bello, the group accused Google, Meta (Facebook), Apple, Microsoft (Bing), X, TikTok, Amazon and YouTube of deploying opaque algorithms and leveraging market dominance in ways that allegedly undermine Nigerian media organisations, businesses, and citizens’ rights.

The complaint, signed by SERAP Deputy Director, Mr Kolawole Oluwadare, urged the commission to take measures necessary to urgently prevent further unfair market practices, algorithmic influence, consumer harm and abuses of media freedom, freedom of expression, privacy, and access to information.”

SERAP also asked the FCCPC to convene a public hearing to investigate allegations of algorithmic discrimination, data exploitation, revenue diversion, and anti-competitive conduct involving the tech giants.

According to the organisation, dominant digital platforms now act as private gatekeepers of Nigeria’s information and business ecosystem, wielding enormous influence over public discourse and market competition without sufficient transparency or regulatory oversight.

“Millions of Nigerians rely on these platforms for news, information and business opportunities,” SERAP stated, warning that opaque algorithms and offshore revenue extraction models pose both economic and human rights concerns.

The group argued that the alleged practices threaten media plurality, consumer protection, privacy rights, and the integrity of Nigeria’s forthcoming elections.

SERAP pointed to actions taken by the South African Competition Commission, which investigated Google over alleged bias against local media content, adding that the South African probe reportedly resulted in measures including algorithmic transparency requirements, compliance monitoring and financial remedies.

SERAP urged the FCCPC to take similar steps to safeguard Nigerian media and businesses.

The organisation maintained that if established, the allegations could amount to violations of Sections 17 and 18 of the Federal Competition and Consumer Protection Act (FCCPA), which prohibit abuse of market dominance and anti-competitive conduct.

SERAP stressed that the FCCPC has statutory authority to investigate and sanction conduct that substantially prevents, restricts or distorts competition in Nigeria.

It also warned that failure by the Commission to act promptly could prompt the organisation to pursue legal action to compel regulatory intervention.

Citing concerns reportedly raised by the Nigerian Press Organisation (NPO), SERAP said big tech companies have fundamentally altered Nigeria’s information environment, creating what it described as a structural imbalance of power that threatens the sustainability of professional journalism.

Among the allegations listed are: Algorithms controlled outside Nigeria determining content visibility, monetisation of Nigerian news content without proportionate reinvestment, offshore extraction of advertising revenues, limited discoverability of Nigerian websites and platforms, and lack of transparency in ranking and recommendation systems.

SERAP argued that declining revenues in the Nigerian media industry have led to shrinking newsrooms, closure of bureaus, and the emergence of news deserts, weakening journalism’s constitutional role in democratic accountability.

The organisation further warned that algorithmic opacity and data-driven micro-targeting could influence voter exposure to information ahead of Nigeria’s forthcoming elections, raising concerns about electoral fairness and transparency.

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