Speech recognition is a software that allows you to convert video into text. This means, you can speak into your phone and the same will be converted into a text that you share with others through email or social media. Cool, right?

Many tech companies, especially owners of mobile operating systems have been working extensively to improve the quality of this cloud recognition software. One of the pioneers of speech recognition software is Google as its Cloud Speech API is one of the most advanced and sophisticated products in this genre.

If you’re wondering what in the world is Cloud Speech API, it’s nothing but a piece of software that allows third-party companies and its developers to integrate Google’s speech recognition software into their own products.

You can do a ton of things with your Cloud Speech API such as recognizing an audio, integrating a storage, filter inappropriate content and so much more. One of the most widely used applications of Google’s Cloud Speech API is in contact centers, where any call can be routed to the concerned department by listening to what the customer is saying.

Many companies have been using this API to give a better experience for their users. A case in point is Twilio that uses this API to convert speech into text for all its products, thereby giving users the flexibility to directly talk to the software instead of going through the more laborious process of typing it out.

Due to the growing use of this product, Google has been working to enhance its functionality. Recently, it announced many changes to the Cloud Speech API to make it more usable and even boost its adoption around the world.

One of the notable changes it made is the world-level time offsets, more popularly known as timestamps. So, what’s the use of this feature? It will make it easier than ever before to find the exact spot where a particular word occurs. For example, let’s say, you have the audio of an important person’s interview and you want to hear just what he said on a particular topic. In the past, you have to go through the entire audio to identify where he made a particular statement. With this new feature, you can simply search for a keyword in an audio and it will bring up all the timestamps where that word was uttered.

This way, you’ll spend less time in finding what you want, thereby increasing your productivity. What’s more? You can even enable text to be display while the audio is playing in real-time. It’s something similar to the closed captions you can see while a video is playing, except that it’s mostly pre-written. Here, you can get the text as you hear.

According to Dan Aharon, the product manager, this feature was something that customers have been requesting for some time now, so Google has worked to offer the same to them.

In addition, the new version will also support longer files. Instead of the maximum 80 minutes, you can now have 180 minutes of video transcribed for you.

All these are sure to add to the appeal of Google’s Cloud Speech API.

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Startups are the drivers of future business. Regardless of their geographic location, startups tend to bring in innovation and new products to the society. But, it’s definitely not an easy road, especially in terms of financial capital.

Almost every startup has budget constraints, so they’re forced to make certain cutbacks. A lot of these come in the areas of sales and marketing, and some of it in technology.

Google wants to change that. While it can’t provide much help in marketing and sales, it definitely is reaching out to companies to give them a solid technological platform needed to execute their ideas. In fact, one of Google’s strategy has been to bring many startups to its platform.

Startups such as Planet Labs, Oden technologies and more that operate in a range of different industries such as space satellites, climate change, smart cities and more want to make use of this offer from Google. For example, Planet Labs is a startup company that wants to image the earth everyday to highlight global change. This company has switched to Google Cloud to host its images and for data processing.

Planet Labs is not the only company. There are hundreds of other startups that are switching to Google Cloud because Google is offering a plan that combines a ton of storage with computing, and of course at affordable rates. So, these companies get the best computing power within their budgets, so why not tap into this technological powerhouse to further their own research and development.

In another interesting case study, Google Cloud partnered with the Indian Satellite Research Organization (ISRO) to launch 88 dove satellites into space. This is the largest satellite constellation ever to reach the space, and this organization uses Google Cloud.

A London-based startup called Improbable is also tapping into the computing power of Google Cloud. This company aims to provide the technologies that will lay the foundation for smart cities. It currently uses Google Cloud to simulate entire cities and to give the lawmakers and public, an impact on every decision, starting from planning to garbage disposal.

One of the reasons all these startups choose Google is the mutual understanding that the startups have to succeed for Google to get a strong hold in this market and vice-versa. This mutual benefit forges strong partnerships that eventually augurs well for everyone involved.

For Google too, this is a potent strategy that can bring rich rewards in the future. When these startups grow, they’ll continue to use Google Cloud platform for their needs. With more usage comes more revenue, so Google will eventually make its money too.

It is also in a position to empower local communities and maybe even help them bring to the world some life-changing products.

Besides, Google can establish a good rapport with these startups and maybe even get a boost in its brand image –  all of which can lead to more customers and a large revenue.

In all, this is a good strategy that can help Google to catch up with competition from Amazon Web Services (AWS), Microsoft and IBM.

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Artificial intelligence, AI for short, is almost overtaking software to become the preferred technology for all operations. This is not a surprising trend because AI is the next generation of machines that come with the ability to learn and implement certain behavior without needing a constant intervention from humans. AI is becoming a reality sooner than we may have guessed, and Google wants to lead the way.

During the company’s annual conference, its CEO, Sundar Pichai, announced that the company will be releasing a new computer chip that can perform advanced machine learning and AI tasks. Called Cloud Tensor processing Unit, this chip is named after Google’s open-source machine learning framework called TensorFlow.

Machine learning, deep learning, supercomputers and AI technologies have been transforming tech companies and its clients over the last few years, and this announcement from Google has made this trend official now. In many ways, AI is transforming Google and its operations too, so it is only natural that this company wants to set the trend and capture the AI market even when it is in its nascent stages.

So, what’s this new chip all about? What’s new in it? Well, lots!

This chip is being dubbed as the first one that can work at blistering speed not only in its executions, but also in its ability to learn. In other words, this chip can be trained incredibly fast and this can be a vital difference that can set this chip apart from others in the same category.

Let’s take a simple example. You want a machine to identify a pizza from other foods such as hot dogs, salads and burgers. To do this, you’ll have to feed in hundreds of different images of pizzas along with other foods to help the system to learn. The sheer amount of calculations needed to train such a model is mind-boggling and complex, so it can take days or even weeks for a system to identify a pizza from other foods.

Google wants to simplify this process, so the learning process is shortened greatly. To do this, the company plans to create machine learning supercomputers called cloud TPU pods. Many Cloud TPUs will be wired together using high-speed data connection. As a result, the learning will be split across different TPUs and they will happen in parallel, thereby leading to a shorter learning curve.

According to Pichai, Google wants to create thousands of TPUs and make them available over the Internet so that it can benefit researchers and developers in a big way. To start with, Google announced that it will share 1,000 TPUs with artificial intelligence researchers to help them in their studies.

In addition to this AI chip, Google plans to create algorithms that will fine-tune other machine learning algorithms and was developing AI tools for advanced studies such as genome analysis, molecular discovery and more.

In all, this is a great initiative from Google and one that could potentially transform our society in a big way. In return, Google can emerge as the leader of the AI chip market, right from its very beginning.

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It’s a well know fact that the top players in cloud market are engaged in an aggressive pricing strategy to woo customers and to increase their overall market share. Out of the top names like AWS, Microsoft, IBM and Google, the one company that’s know for its deep price cuts is Google.

So, is it true that Google cuts its prices with an aim to increase the market share?

Apparently no, according to Tariq Shaukat, the president of customers at Google Cloud. In an interview to CNBC, he said that Google will never be involved in a price war because he believes that Google’s products offer a high value for its customers. So, there is no need to engage in a price war.

However, he has also said that Google offers a flexible pricing model for its products and this way, customers are already saving money when compared to what they pay for the same service with other cloud providers.

One of strategies that Google offers to its customers is that they are billed by the minute and not by the hour, like many other cloud providers. This way, customers pay exactly for what they use and not even a minute extra.

In addition, Google’s services are comprehensive as it includes data analysis, machine learning, artificial intelligence and more that are built into its products. This way, customers stand to gain a lot more for the same money they pay, opined Shaukat.

While this is a good strategy and can save money for customers, still it’s a form of price war, albeit in a veiled way.

If you look back, Amazon, Microsoft and Google have been locked in a price war that many analysts believe will severely impact the bottom line and profit margins of all the three companies. With increased competition from companies like Alibaba, there’s a possibility that there giants will slash prices even further, much to the delight of customers.

While this can leave customers happy, this price cutting is not a healthy trend for the cloud industry as a whole and this is what is worrying investors and analysts. They would rather prefer the companies to keep up their profit margins, expand their business and spend more on development, so that more products and cloud applications can come out of it. Such an approach would augur well for the health and sustainability of the cloud industry as a whole.

That opinion aside, Google is still moving on with its expansion plans. Already it has invested more than $30 billion dollars in its cloud business and this is not all. Other companies like AWS and Microsoft are also pouring in millions of dollars to spruce up their products because they all believe that this could be the main revenue driver in the years to come.

All this means the next few years are going to be interesting. Will an aggressive pricing strategy followed by these companies score over analysts’ long-term predictions? Time is the answer.

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Cloud war is heating up, as the top player vie with each other to garner more market share and revenue in an ever-growing market environment. As more individuals and companies take to the cloud to make the most of what it has to offer, the top four players, namely Amazon Web Services (AWS), Microsoft, IBM and Google are competing with each other to offer the best services at the lowest possible rates.

The very idea of this cloud war is to ensure that one company stays on top of others when it comes to market share and revenue. Currently, AWS is the king as its revenue and market share is way more than that of Microsoft, IBM and Google. But that doesn’t mean that the others can catch up.

In fact, Google is going all out to beat AWS, IBM and Microsoft to get to the top in this cloud war. After Diane Greene took over as the head of this divisions, Google has made rapid strides in this regard. It has introduced many new products, slashed its prices heavily and has even entered into lucrative partnerships with organizations around the world – all in a bid to increase its market reach.

The latest effort in this regard is the prominent role that Google wants to play in the entertainment industry. Tariq Shaukat, a president in Google’s cloud division is one of the keynote speakers at the National Association of Broadcasters show that is happening in Las Vegas. This platform is expected to give Google and its parent company, Alphabet, a wide audience in the media and entertainment industry.

Shaukat is expected to talk about the Google Cloud Platform (GCP) and how it can provide the media and entertainment industry with all that it wants to increase their revenue and make their operations more efficient. He is also expected to help this industry make the most of what one of the top tech companies in the world has to offer.

One of the products that Google plans to showcase is Zync, that can enable bandwidth-intensive projects to be rendered at high speeds. Anything ranging from virtual reality to animated TV shows can be hosted on this product, and this is precisely why Google thinks the entertainment industry platform is a good place to talk about it.

These efforts are towards a larger goal, which is to become the top cloud provider soon. In an interview to Forbes, Greene has said that there is a good chance for Google to become the number one cloud provider in five years because it is taking all out effort to make the most of every platform and opportunity.

In March of 2016, Google already announced that it was going to pour in billions of dollars into its cloud business as that’s going to be one of the key revenue drivers in the future. This also explains why it’s planning to increase the number of data centers from three to 15, by the end of 2017.

Will Google surpass AWS in five years and emerge as the winner in this cloud war? Possibilities are there, but time will tell.

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Personalization has become a key aspect in today’s world. From a business perspective, the level of personalization that a particular tool or technology offers determines its usability, and in many ways, its popularity too.

No one understands this better than Google. In fact, Google is only company that probably knows everything about you, next to the NSA of course!

But the good side of it is Google uses this information that it collects about you to enhance the level of personalization it offers through its many free services.

If you’re wondering how Google makes its money, it’s simple. It collects information about you, gives you personalized data when you search for something or even when you use its services like Gmail and Google docs. In all this, it also inserts ads that are relevant to you and this is how it makes it’s money.

While all that is good, there are many privacy enthusiasts who see this as a breach of their privacy. When someone collects information and stores it in their server, it clearly violates many laws and even common sense. This is why Google has been in the middle of many controversies and lawsuits, especially in Europe.

To circumvent this breach of privacy without compromising on your personalization, Google has come up with an idea to train artificial intelligence (AI) to give achieve this twin objective. Called Federated Learning, this new AI training procedure will take advantage of the computing power of your phone.

It starts with downloading the latest model from the cloud. This model is kept as a base and the AI system improves it by learning from your data on the phone. Finally, it sends an updated model back to Google through an encrypted communication. This model is then averaged with the model obtained from other users and all these together help to improve the shared model. The data that is used to train this model is still on your device though, and none of it reaches the Google servers at any point in time.

Let’s take a practical situation here. Say, you searched for pizza on your Gboard. The phone stores this information locally and also remembers the links you clicked. Federated learning processes this information to improve the suggestions that the Gboard query will make next time. So, when you search for pizza a few days later, the links that you clicked the previous time will be on top of your search results.

Though this may sound great, it can also bring up concerns about battery life and overuse of data. These are things that you don’t have to worry at all because Google will use your phone to update the model only when it is idling around when connected to a power source and it also uses only a free source of Internet like your Wi-Fi for uploading this model.

With such a Federated Learning, it looks like Google has covered everything this time. Your data never leaves your device, AI is used to improve the model, you phone’s battery and data usage is not affected, and yet you get high levels of customization.

Too good to be true? Time is the answer.

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Google has once again lowered the cost of its offerings to make it a more attractive option, when compared to Azure and AWS. Now, customers can get a whopping 57 percent discount when they commit to buying a certain amount of CPU cores and memory. However, the catch is customers should commit to a one-year or three-year contract to get this discount.

This offering from Google is similar to the Convertible Reserved Offering from AWS, that allows users to reserve a certain compute instance in the cloud, so that they can change the instance type they want in the future, but can still retain the cost and space. So far though, one of the major areas that differentiates Google from other companies is that clients don’t have to commit to a particular instance size. Rather, they can pick and choose their configuration that best meets their needs at any given point in time.

While retaining this option, Google is also enticing its customers to commit to a particular size, probably in a bid to take on Amazon. Overall, this is a smart move by Google, as it tries to take on the two leading companies –  Microsoft and Amazon, in the cloud market. With this high discount, it is effectively getting new and existing customers to commit to it for a long term, so it can be assured that the business will not go to that of its competitors.

Though this is not a new strategy, it is nevertheless a successful one. Cell phone companies are known to entice customers with free or lower-priced smartphone offers for a commitment for three years or more, and they have been successful with it. In fact, such contracts have become a norm in today’s cell phone industry. By applying the same strategy, Google hopes that it’ll be successful for its cloud business too.

This price cut is a part of the cloud wars between AWS, Microsoft and Google, that we’ve been seeing over the last few years now. In fact, it’s become common for these three companies to cut prices as a response to the other’s strategy. Regardless of this war, it’s the customer who ultimately benefits from this competition because they can get better service at lower cost.

Other than this price cut, Google will continue to offer discounts for the sustained use of its platform. Currently, it offers a 24 percent discount off the list price of a particular machine, and this will continue. Also, Google is planning to cut the price of its virtual machines by eight percent for those using the Japanese virtual servers, and five percent for its US customers.

In addition to this strategy, Google also wants to expand its facilities, so it’s in a better position to service the needs of its customers. To this end, it announced that its launching three data centers – one each in California, Canada and the Netherlands. With this, the total number of facilities will go up to 17 locations.

Let’s see how much Google can tighten this race.

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Google is going all-out with its arsenal to take on Microsoft and AWS in a growing cloud war. It’s latest product is Cloud Spanner, a global database that’s driven Google to become one of the best tech companies in the world. While this is not a new product as it’s been around for decades, this is the first time Google is opening it up for its customers.

Cloud Spanner is the database that has been powering Google for the last so many years. It all started when a group of engineers came together to create the first database and a system that seemed to defy all logic. Called the Spanner, this database was a mechanism to store information across millions of machines spanning through dozens of data centers in multiple continents. The best part is, Spanner acts as a single piece, even if it is spread across the world.

Today, it is the underlying technology for all of Google’s services such as Gmail, Google Photos and its most important revenue-generating product, Adwords.

Now, for the first time ever, Google is opening up this product to the world by branding it as Cloud Spanner. As per the terms and conditions, customers can rent out some space on Cloud Spanner, and can use it for their own apps and products. This is exactly the same as what Google uses for its in-house operations.

Spanner uses SQL language for querying, so most programmers who’ve worked on popular databases like SQL, Oracle and DB2 should be familiar with it. This translates to little or no training to use the Cloud Spanner, and customers can start making the most of it from day one. At the same time, Spanner is a flexible database that can expand to hold any amount of data, so scalability is never an issue.

On top of it, Cloud Spanner is hosted from the Google data centers, and this means, like other Google products, this is protected against hardware failures and cyber attacks. In other words, customers get to use the patented magic technology from Google for their own apps and products, for a fraction of the cost of developing such a massive system.

For those customers who don’t want to create apps using Cloud Spanner, Google offers a product called Cloud SQL, that’s similar to a traditional database software. In addition, customers can also use BigQuery data analysis engine on both the platforms for big data queries. With such a move, Google has empowered its customers in a big way, as they can choose to either use Cloud Spanner or Cloud SQL, depending on their business needs.

This is a significant move by Google, and one that can shake up the cloud market. Over the last few months, Google has tried a range of different strategies to counter the dominance of AWS and the fast-growing Microsoft Azure, but has seen only limited success. Since Spanner is something that is exclusively available only in Google, there is an increased chance for customers to use Google Cloud over Azure and AWS.

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