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Microsoft: Here's the real reason Edge crashed when Google was the default search engine

ZDNet

Microsoft has now offered an explanation for the bug that caused Chromium-based Edge to crash when Google was set as the default search engine – but didn't crash if Microsoft's much less popular Bing was set instead. The crashes were happening when users typed in the address bar. The conditions for the crash made it appear to some that there was a skirmish playing out between Google and Microsoft on the new Edge, which ships with Bing as the default search engine and strips out many Google features that are in Chrome. At the time, Microsoft didn't explain the cause of the crashes and why it only impacted Edge with Google as the default. However, after fixing the bug it did advise users to "revert your browser settings that you may have changed" to avoid the crashes.


Best Anchor Text Optimization Practices [Infographic]

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Anchor texts are hyperlinked, clickable words in the content. Working on anchor text optimization for both internal and external content can help your site get a better ranking on search engines. In 2011 and earlier, companies gained good rankings by using keyword-rich links as anchor texts. In 2012, Google released the Penguin update, which caused businesses that had exact matching keywords to suffer major slides in Google rankings. Businesses started considering the use of anchor text optimization strategies to recover the lost ground.


Solving One of the Biggest Challenges for AI-Based Search Engines: Relevance

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Let's learn how to implement ClickModels in order to extract Relevance from clickstream data. These steps tend to be what is already necessary for implementing an effective enough search engine system for a given application. Eventually, the requirement to upgrade the system to deliver customized results may arise. Doing so should be simple. One could choose from a set of machine learning ranking algorithms, train some selected models, prepare them for production and observe the results.


Laserfiche Spark Invites Change-Makers to Reimagine the Digital Workplace

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Laserfiche, a leading global provider of intelligent content management and business process automation -- announced registration is open for Laserfiche Spark, a free video broadcast showcasing digital transformation tools and trends and the latest developments in Laserfiche software. Under the theme "Be the Change," Laserfiche Spark will present strategies for innovating and adapting to new ways of working, whether it's addressing changing customer expectations or continuing operations during a pandemic. Attendees will gain insights into building an effective digital workplace, essential for managing a remote workforce. Laserfiche Spark will be broadcast twice on Aug. 19, 2020, from 10-11:30 a.m. EDT and from 2-3:30 p.m. PDT. "Today, Laserfiche goes beyond simply supporting digital transformation; it is a critical component in organizational resiliency," said Laserfiche President Karl Chan.


Alibaba Cloud turns on new hyperscale data centres in China

ZDNet

Alibaba Cloud has added three hyperscale data centres in China and plans to build more over the next few years. The move is part of the Chinese tech giant's $28 billion investment to modernise its cloud infrastructure and support customers' digital transformation needs. Located in Hangzhou, the Jiangsu Province's Nantong, and Inner Mongolia's Ulangab, the three new sites run on Alibaba's own technologies including its Apsara Distributed OS, Hanguang 800 AI chip, and X-dragon architecture. The launch was part of its previous announcement to park another $28 billion over three years to build out its cloud infrastructure, the company said in a statement Tuesday. While coy over how the Huawei-US debacle may impact other Chinese technology vendors, Alibaba Cloud executives play up their "in Asia, for Asia" focus and investment in the region as a key competitive advantage over its US competitors, including AWS, Microsoft, and Google.


The Art of SEO: Mastering Search Engine Optimization, 3rd Edition - Programmer Books

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Three acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy. Novices will receive a thorough SEO education, while experienced SEO practitioners get an extensive reference to support ongoing engagements. Comprehend SEO's many intricacies and complexities Explore the underlying theory and inner workings of search engines Understand the role of social media, user data, and links Discover tools to track results and measure success Examine the effects of Google's Panda and Penguin algorithms Consider opportunities in mobile, local, and vertical SEO Build a competent SEO team with defined roles Glimpse the future of search and the SEO industry



Building the Future of Data Science

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We can easily see that it's increasing over time. Semantics in this context means the use of formal semantics to give meaning to the disparate and raw data that surrounds us, and also the relationship between signifiers and what they stand for in reality, their denotation. When we talk about semantics in data we normally mean a combination of ontology, linked data, graphs and knowledge-graphs, the data fabric and more. You can read about all of that in the links at the beginning of the article. The thing is that all data modeling statements (along with everything else) in ontological languages for data are incremental, by their very nature.



Why SEO & Machine Learning Are Joining Forces

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The global datasphere will grow from 33 zettabytes (each equal to a trillion gigabytes) in 2018 to 175 ZB by 2025. In marketing, our role as the stewards of much of this data is growing, as well. As of last year, more data is being stored in the enterprise core than in all the world's existing endpoints, according to a report by IDC. The great challenge for marketers and SEO professionals is activating and using that data. In 2025, each connected person will have at least one data interaction every 18 seconds and nearly 30% of the world's data will need real-time processing.