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Google expands languages push in India to serve non-English speakers

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There are over 600 million internet users in India, but only a fraction of this population is fluent in English. Most online services and much of the content on the web currently, however, are available exclusively in English.

This language barrier continues to contribute to a digital divide in the world’s second largest internet market that has limited hundreds of millions of users’ rendition of the world wide web to a select few websites and services.

So it comes as no surprise that American tech giants, which are counting on emerging markets such as India to continue their growth. are increasingly attempting to make the web and their services accessible to more people.

Google, which has so far led this effort, on Thursday announced a range of changes it is rolling out across some of its services to make them speak more local languages and unveiled a whole new approach it’s taking to translate languages.

Additionally, Google said it plans to invest in machine learning and AI efforts at Google’s research center in India and make its AI models accessible to everyone across the ecosystem. The company — which counts India as its biggest market by users, and this year committed to invest more than $10 billion in the country over the coming years — also plans to partner with local startups that are serving users in local languages, and “drastically” improve the experience of Google products and services for Indian language users.

Product changes

Users will now be able to see search results to their queries in Tamil, Telugu, Bangla, and Marathi, in addition to English and Hindi that are currently available. The addition comes four years after Google added the Hindi tab to the search page in India. The company said the volume of search queries in Hindi grew more than 10 times after the introduction of this tab. If someone prefers to see their query in Tamil, for instance, now they will be able to set Tamil tab next to English and quickly toggle between the two.

Getting search results in a local language is helpful, but often people want to make their queries in those languages as well. Google says it has found that typing in non-English language is another challenge users face today. “As a result, many users search in English even if they really would prefer to see results in a local language they understand,” the company said.

To address this challenge, Search will start to show relevant content in supported Indian languages where appropriate even if the local language query is typed in English. The feature, which the company plans to roll out over the next month, supports five Indian languages: Hindi, Bangla, Marathi, Tamil, and Telugu.

Google is also making it easier for users to quickly change the preferred language in which they see results in an app without altering the device’s language settings. The feature, which is currently available in Discover and Google Assistant, will now roll out in Maps. Similarly, Google Lens’s Homework feature, which allows users to take a picture of a math or science problem and then delivers its answer, now supports Hindi language.

MuRIL

Google executives also detailed a new language AI model, which they are calling Multilingual Representations for Indian Languages (MuRIL), that delivers more efficiency and accuracy in handling transliteration, spelling variations and mixed languages. MuRIL provides support for transliterated text such as when writing Hindi using Roman script, which was something missing from previous models of its kind, said Partha Talukdar, Research Scientist at Google Research India, at a virtual event Thursday.

The company said it trained the new model with articles on Wikipedia and texts from a dataset called Common Crawl. It also trained it on transliterated text from, among other sources, Wikipedia (fed through Google’s existing neural machine translation models). The result is that MuRIL handles Indian languages better than previous, more general language models and can contend with letters and words that have been transliterated — that is, Google is using the closest corresponding letters of a different alphabet or script.

Additionally, the new model allows Google to “transfer knowledge and training from one language to another,” said Talukdar, who noted that the previous model Google relied on proved unscalable. MuRIL significantly outperforms the earlier model — by 10% on native text and 27% on transliterated text. MuRIL, which was developed by executives in India, is open source.

MuRIL supports 16 Indian languages and English.

One of the many tasks MuRIL is good at, is determining the sentiment of the sentence. For example, “Achha hua account bandh nahi hua” would previously be interpreted as having a negative meaning, but MuRIL correctly identifies this as a positive statement. Or take the ability to classify a person versus a place: ‘Shirdi ke sai baba’ would previously be interpreted as a place, which is wrong, but MuRIL correctly interprets it as a person.

More to follow…

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Ars online IT roundtable today: What’s the future of the data center?

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Ars online IT roundtable today: What’s the future of the data center?

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If you’re in IT, you probably remember the first time you walked into a real data center—not just a server closet, but an actual raised-floor data center, where the door wooshes open in a blast of cold air and noise and you’re confronted with rows and rows of racks, monolithic and gray, stuffed full of servers with cooling fans screaming and blinkenlights blinking like mad. The data center is where the cool stuff is—the pizza boxes, the blade servers, the NASes and the SANs. Some of its residents are more exotic—the Big Iron in all its massive forms, from Z-series to Superdome and all points in between.

For decades, data centers have been the beating hearts of many businesses—the fortified secret rooms where huge amounts of capital sit, busily transforming electricity into revenue. And they’re sometimes a place for IT to hide, too—it’s kind of a standing joke that whenever a user you don’t want to see is stalking around the IT floor, your best bet to avoid contact is just to badge into the data center and wait for them to go away. (But, uh, I never did that ever. I promise.)

But the last few years have seen a massive shift in the relationship between companies and their data—and the places where that data lives. Sure, it’s always convenient to own your own servers and storage, but why tie up all that capital when you don’t have to? Why not just go to the cloud buffet and pay for what you want to eat and nothing more?

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Transforming the energy industry with AI

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For oil and gas companies, digital transformation is a priority—not only as a way to modernize the enterprise, but also to secure the entire energy ecosystem. With that lens, the urgency of applying artificial intelligence (AI) and machine learning capabilities for optimization and cybersecurity becomes clear, especially as threat actors increasingly target connected devices and operating systems, putting the oil and gas industry in collective danger. The year-over-year explosion in industry-specific attacks underscores the need for meaningful advancements and maturity in cybersecurity programs.

However, most companies don’t have the resources to implement sophisticated AI programs to stay secure and advance digital capabilities on their own. Irrespective of size, available budget, and in-house personnel, all energy companies must manage operations and security fundamentals to ensure they have visibility and monitoring across powerful digital tools to remain resilient and competitive. The achievement of that goal is much more likely in partnership with the right experts.

MIT Technology Review Insights, in association with Siemens Energy, spoke to more than a dozen information technology (IT) and cybersecurity executives at oil and gas companies worldwide to gain insight about how AI is affecting their digital transformation and cybersecurity strategies in oil and gas operating environments. Here are the key findings:

  • Oil and gas companies are under pressure to adapt to dramatic changes in the global business environment. The coronavirus pandemic dealt a stunning blow to the global economy in 2020, contributing to an extended trend of lower prices and heightening the value of increased efficiency to compensate for market pressures. Companies are now forced to operate in a business climate that necessitates remote working, with the added pressure to manage the environmental impact of operations growing ever stronger. These combined factors are pushing oil and gas companies to pivot to new, streamlined ways of working, making digital technology adoption critical.
  • As oil and gas companies digitalize, the risk of cyberattacks increases, as do opportunities for AI. Companies are adding digital technology for improved productivity, operational efficiency, and security. They’re collecting and analyzing data, connecting equipment to the internet of things, and tapping cutting-edge technologies to improve planning and increase profits, as well as to detect and mitigate threats. At the same time, the industry’s collective digital transformation is widening the surface for cybercriminals to attack. IT is under threat, as is operational technology (OT)—the computing and communications systems that manage and control equipment and industrial operations.
  • Cybersecurity must be at the core of every aspect of companies’ digital transformation strategies. The implementation of new technologies affects interdependent business and operational functions and underlying IT infrastructure. That reality calls for oil and gas companies to shift to a risk management mindset. This includes designing projects and systems within a cybersecurity risk framework that enforces companywide policies and controls. Most important, they now need to access and deploy state-of-the-art cybersecurity tools powered by AI and machine learning to stay ahead of attackers.
  • AI is optimizing and securing energy assets and IT networks for increased monitoring and visibility. Advancements in digital applications in industrial operating environments are helping improve efficiency and security, detecting machine-speed attacks amidst the complexity of the rapidly digitalizing operating environments.
  • Oil and gas companies look to external partners to guard against growing cyberthreats. Many companies have insufficient cybersecurity resources to meet their challenges head-on. “We are in a race against the speed of the attackers,” Repsol Chief Information Officer Javier García Quintela explains in the report. “We can’t provide all the cybersecurity capabilities we need from inside.” To move quickly and address their vulnerabilities, companies can find partners that can provide expertise and support as the threat environment expands.

Cybersecurity, AI, and digitalization

Energy sector organizations are presented with a major opportunity to deploy AI and build out a data strategy that optimizes production and uncovers new business models, as well as secure operational technology. Oil and gas companies are faced with unprecedented uncertainty—depressed oil and gas prices due to the coronavirus pandemic, a multiyear glut in the market, and the drive to go green—and many are making a rapid transition to digitalization as a matter of survival. From moving to the cloud to sharing algorithms, the oil and gas industry is showing there is robust opportunity for organizations to evolve with technological changes.

In the oil and gas industry, the digital revolution has enabled companies to connect physical energy assets with hardware control systems and software programs, which improves operational efficiency, reduces costs, and cuts emissions. This trend is due to the convergence of energy assets connected to OT systems, which manage, monitor, and control energy assets and critical infrastructure, and IT networks that companies use to optimize data across their corporate environments.

With billions of OT and IT data points captured from physical assets each day, oil and gas companies are now turning to built-for-purpose AI tools to provide visibility and monitoring across their industrial operating environments—both to make technologies and operations more efficient, and for protection against cyberattacks in an expanded threat landscape. Because energy companies’ business models rely on the convergence of OT and IT data, companies see AI as an important tool to gain visibility into their digital ecosystems and understand the context of their operating environments. Enterprises that build cyber-first digital deployments similarly have to accommodate emerging technologies, such as AI and machine learning, but spend less time on strategic realignment or change management.

Importantly, for oil and gas companies, AI, which may have once been reserved for specialized applications, is now optimizing everyday operations and providing critical cybersecurity defense for OT assets. Leo Simonovich, vice president and global head of industrial cyber and digital security at Siemens Energy, argues, “Oil and gas companies are becoming digital companies, and there shouldn’t be a trade-off between security and digitalization.” Therefore, Simonovich continues, “security needs to be part of the digital strategy, and security needs to scale with digitalization.”

To navigate today’s volatile business landscape, oil and gas companies need to simultaneously identify optimization opportunities and cybersecurity gaps in their digitalization strategies. That means building AI and cybersecurity into digital deployments from the ground up, not bolting them on afterward.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

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Soci raises $80M for its localized marketing platform

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Soci, a startup focused on what it calls “localized marketing,” is announcing that it has raised $80 million in Series D funding.

National and global companies like Ace Hardware, Anytime Fitness, The Hertz Corporation and Nekter Juice Bar use Soci (pronounced soh-shee) to coordinate individual stores as they promote themselves through search, social media, review platforms and ad campaigns. Soci said that in 2020, it brought on more than 100 new customers, representing nearly 30,000 new locations.

Co-founder and CEO Afif Khoury told me that the pandemic was a crucial moment for the platform, with so many businesses “scrambling to find a real solution to connect with local audiences.”

One of the key advantages to Soci’s approach, Khoury said, is to allow the national marketing team to share content and assets so that each location stays true to the “national corporate personality,” while also allowing each location to express  a “local personality.” During the pandemic, businesses could share basic information about “who’s open, who’s not” while also “commiserating and expressing the humanity that’s often missing element from marketing nationally.”

“The result there was businesses that had to close, when they had their grand reopenings, people wanted to support that business,” he said. “It created a sort of bond that hopefully lasts forever.”

Khoury also emphasized that Soci has built a comprehensive platform that businesses can use to manage all their localized marketing, because “nobody wants to have seven different logins to seven different systems, especially at the local level.”

The new funding, he said, will allow Soci to make the platform even more comprehensive, both through acquisitions and integrations: “We want to connect into the CRM, the point-of-sale, the rewards program and take all that data and marry that to our search, social, reviews data to start to build a profile on a customer.”

Soci has now raised a total of $110 million. The Series D was led by JMI Equity, with participation from Ankona Capital, Seismic CEO Doug Winter and Khoury himself.

“All signs point to an equally difficult first few months of this year for restaurants and other businesses dependent on their communities,” said JMI’s Suken Vakil in a statement. “This means there will be a continued need for localized marketing campaigns that align with national brand values but also provide for community-specific messaging. SOCi’s multi-location functionality positions it as a market leader that currently stands far beyond its competitors as the must-have platform solution for multi-location franchises/brands.”

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