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Manual data classification consumes too much time and effort while being susceptible to misidentification.

According to studies, the global market for data capture systems would reach $3.84 billion by 2024. As human data input techniques become obsolete, AI automation technology is gradually infiltrating businesses worldwide. Here are 4 reasons why AI-powered data automation is the future.

Data Classification

On a daily basis, businesses must deal with thousands of pieces of data. When data is entered, it must be appropriately categorised or indexed so that it may be easily retrieved when needed. For a long period of time, manual data classification consumed too much time and effort while being susceptible to misidentification. AI automation technology is built with the capacity to classify and sort various kinds of documents, from photos to PDFs. After processing a document once, AI solutions can recognise the type of data and understand where the data should be extracted. Sample documents can be fed into the software, and it will eventually be able to grasp the differences. It can grasp the data the very next time it sees a similar text. This rapid recognition procedure ensures that data is processed quickly and effectively tackles human mistakes made during data entering. It not only improves data accuracy but also ensures data confidentiality.

Enables Data Extraction

AI automation solutions are effective data extraction methods. They can extract data regardless of whether the document is organized or not. A firm, for example, does not always deal with printouts; it may also deal with handwritten materials. Because handwritten documents are poorly structured, it is difficult to read, comprehend, and extract data from them. AI automation technology is the ideal option. AI software’s powerful deep learning system can recognise and understand handwritten characters and retrieve them without the need for human intervention. Moreover, manual data input operations necessitate the use of keywords and templates, whereas AI automation does not. Processes such as invoice identification, which often require templates, are readily managed and extracted using AI automation. As a result, AI automation solutions are considerably superior to alternatives such as manual processing. People have been dealing with over-exhaustion, time consumption, and added expenses for years as a result of problems such as trouble reading handwritten characters, repeated data entries, and data misidentification. AI automation technology provides solutions to these problems by analysing complicated patterns of numbers and statistics and structuring them before analyzing them for future use.

Validity and Security

As a result, AI automation solutions are considerably superior to alternatives such as manual processing. People have been dealing with over-exhaustion, consumption of time, and added expenses for years as a result of problems such as trouble reading handwritten characters, repeated data entries, and data misidentification. AI automation technology provides solutions to these problems by analysing complicated patterns of numbers and statistics and structuring them before analyzing them for future use. This ensures the accuracy that is frequently absent in traditional data entering techniques. Above all, you can save money on data correction while increasing the output of your services.

Increase Productivity

It guarantees to:

Reduce manual errors

Reduce paperwork and save money

Improve clarity

Fasten the process

AI automation solutions provide more time to concentrate on establishing relations with stakeholders and offering effective services to current consumers by decreasing errors associated with manual data processes. Increasing your productivity through AI automation will immediately increase your profitability and revenues. A company’s reputation is critical. AI automation enables you to concentrate more on improving client relationships, ultimately increasing customer service and corporate value.

Ai News Anchor. The Future Is Here!

We’ll have been listening and talking about how Artificial Intelligence (AI) will be the future. Nonetheless, I believe Future is already here. If AI can create a news presenter then what else could be the future? Yes, you’ve heard it right. State News Agency of China has deployed a virtual newsreader or AI anchors to be more precise. The newsreader or the anchor wears a crisp suit which has a robotic voice. According to Xinhua News, the anchor can read texts just how a human can pull off easily. However, there might be people who won’t agree. In its very first project, the AI anchor says, “Hello, you’re watching English News programme. I look forward to bringing you the brand new news experiences.” One of the constituents for developing this system was a Chinese search engine called as Sogou. Basically, computerized composites are used from the footage of human anchors read out the news using orchestrated voices. It’s not evident precisely what technology has been utilized to make the hosts, yet they’re in accordance with the latest machine learning research. It appears that Xinhua has utilized films of human hosts as a base layer, and afterward animated the parts of the mouth and face to transform the speaker into a . By consolidating this with an , Xinhua can program the computerized anchors to read the news, far speedier than utilizing conventional CGI. However, before jumping to any conclusion, it’s important to talk to a few AI experts to understand their analysis. Xinhua says the grapples have “unlimited prospects” and can be utilized to efficiently produce news reports for the office’s TV, web, and portable yield. The telecasters made their presentation amid China’s yearly World Internet Conference, an event intended to be China’s Davos for the tech space and additionally a stage for China’s vision of the web. While China is home to a portion of the world’s biggest tech organizations and somewhere in the range of 800 million web clients, its web is a standout amongst the most controlled on the planet. Eyewitnesses stress China is transforming into a digital police state, with innovation from iris and gait recognition being sent to screen activists, ethnic minorities in spots like Xinjiang, and normal citizens. At the gathering in Wuzhen in southern China, participants saw their photographs streak on a screen when they went through security checks utilizing facial recognition. In a session on fintech, organizations talked about coordinating with law implementation, giving data to careless residents to be put on social credit boycotts. However, this new innovation has its restrictions. In the recordings above and underneath of the English-talking stay, clearly the scope of outward appearances are restricted, and the voice is unmistakably fake. But, machine learning research here is making quick upgrades, and it’s not difficult to envision a future where AI anchors are indistinct from the actual and human anchors. This will strike numerous as an exasperating prospect, particularly as the innovation is being deployed in China. There, the press is always blue-penciled, and it is almost difficult to get clear reports of even far-reaching events like the nation’s of the Muslim Uighur people group. Making fake anchors read news sounds great. In any case, what the real impact on society might be if such AI presentators end up across the board is difficult to pass judgment. If Xinhua needs somebody to talk out the news without challenging it, they needn’t bother with AI to get that going. In the interim, synthetic characters are gradually finding their way into the standard culture, with figures like virtual pop star and acclimating general society with this kind of creation.

4 Reasons Why I Switched From Nvidia To Amd

I’ve always thought brand loyalty was a silly concept, especially in the technology sector. A product should be evaluated on its own merits, based on criteria relevant to its intended use. A graphics card, for example, is evaluated on factors such as performance, energy efficiency, range of functions, and price.

The company that manufactures the product should at most be included in the decision if it stands out for social commitment or environmentally friendly production, for example.

GeForce RTX 4090 Founders Edition

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Best Prices Today:

Now, no one can claim that Nvidia makes bad graphics cards. On the contrary, the company has set many trends in recent years: G-Sync, ray tracing, DLSS, and Reflex, to name a few. Especially in the upper class, Team Green’s ferocious RTX 4090 has no rival. And yet, having recently found myself due for a PC upgrade, I opted for an AMD graphics card.

Although my GeForce RTX 2080 Ti has served me well for years, I recently replaced it with an RX 6950 XT from AMD. Here are my very personal reasons for doing so.

The pitfall of new technologies

In the past few years, Nvidia has introduced one new technology after another and ultimately (at least currently) won the duel against AMD. With ray tracing, Nvidia has set a graphics trend that will probably be with us for some time to come and in which Team Green is a pioneer. The DLSS upscaling technology is still ahead of the AMD and Intel alternatives.

However, it is becoming more and more of a trend that these innovations are not really backwards compatible—and that is a disaster from the consumer’s point of view. For example, said Deep Learning Super Sampling (DLSS), whose latest version 3 including frame generation is only compatible with Nvidia’s current 40-series cards.

So if you bought a 20- or 30-series card in the past years, possibly for a lot of money given the graphics card prices of the last few years, you are now already looking down the tube.

There are of course technical reasons why these new technologies do not work on old cards. Nevertheless, as a consumer I don’t like the feeling when an expensive product is consigned to the antique department by the manufacturer after only a few years. Especially since there is another way, as AMD shows.

Even though Nvidia has good arguments on its side from a technical point of view, AMD has not been idle in recent years either—and is pursuing a completely different strategy. AMD makes its in-house technologies available to as many users as possible. One example of this is FreeSync, which, in contrast to G-Sync, works with a significantly larger selection of monitors that are often also cheaper than counterparts with G-Sync certification.

It becomes even clearer when comparing FSR against DLSS. While AMD’s technology is compatible even with competitor graphics cards from Nvidia and Intel, Nvidia not infrequently excludes GPUs from its own house when it comes to new functions. For example, DLSS only works when using an RTX GPU, older GTX models are left out in the cold, and DLSS 3 Frame Generation only works with the current RTX 40-series graphics cards. AMD relies on industry standards and open source solutions, while Nvidia implements proprietary solutions.

It felt like Nvidia was constantly bringing new features to the market without really addressing the needs of existing customers. Team Red may be a little behind in the latest high-tech features, but it relies on open source technologies and doesn’t have to hide at all in fundamental areas like rasterization performance and memory.

And even if ray tracing is now implemented in more and more games, without ray tracing you can play any game, but without rasterization you can’t play any game—apart from a few exceptions with path tracing.

AMD concentrates on the essentials

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Radeon RX 7900 XTX

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While Nvidia, also as a result of the company’s shift towards AI technologies, is indeed a driver of innovation, AMD has increasingly concentrated on the essentials in recent years. A shining example is the built-in video memory, which is becoming increasingly important at higher resolutions and levels of detail.

Only recently, Nvidia has once again shown with the RTX 4060 that the company does not succeed in the balancing act between the use of new technologies and a solid basic configuration. A strong ray tracing performance and DLSS 3 are of little use if the 8GB video memory is no longer sufficient for modern games in full HD. Especially since both technologies further increase the memory requirements.

AMD is not immune to these errors either, as the Radeon RX 7600 with only 8 GB of RAM also shows, but it often has a better memory configuration, especially in the midrange and upper class. An illustrative example of this is the RX 7900 XTX, which not only has significantly more video memory, but is also cheaper than its Nvidia counterpart, the RTX 4080. And even in terms of pure rasterization performance, AMD cards are often on a par with or even ahead of Nvidia at the same price.

Better price-performance ratio

AMD Radeon RX 7600

If we leave the RTX 4090 aside for a moment (at a starting price of $1,600 it’s irrelevant for my eventual purchase decisions anyway), you will find an AMD equivalent for every Nvidia card that is on par in terms of memory equipment and rasterization performance. And in most cases, the AMD card will be the cheaper alternative.

Of course, if you value ray tracing and prefer DLSS to AMD’s alternative FSR, this question does not arise. Because in these areas Nvidia simply cannot be beaten at the moment, and it is precisely for this reason that the company can also be very creative in its pricing.

AMD, on the other hand, must and wants to convince with classic arguments, namely solid performance, accessible alternative technologies, and ample memory at an attractive price (at least compared to the competition). And if, like me, these points are ultimately decisive for you, then you should at least consider Team Red for your next PC upgrade.

AMD Software Adrenalin Edition vs. Nvidia GeForce Experience

But not only the hardware, but also the software should play a role in the purchase decision.

As a long-time user of an Nvidia graphics card, it is still incomprehensible to me why the manufacturer does not manage to combine all functions in one software program. If I want to change the monitor resolution or refresh rate, activate G-Sync or use Dynamic Super Resolution, I have to do this in the Nvidia control panel, which, by the way, still looks the same as it did 20 years ago.

With AMD, on the other hand, the AMD software Adrenalin Edition can be installed together with the driver. There is no need to log in and all functions can be found clearly in one application.

Editor’s note: This article was translated from German to English, and originally appeared on pcwelt.de.

3 Reasons Why More Outsourcing Is Inevitable

Time for an outsourcing reality check. Since everyone’s excited about how well – or poorly – outsourcing works, let’s take a look at what’s happening now, and what’s likely to happen over the next few years.

Let me say first that much of the fate around outsourcing has already been sealed. How could this be? I realize that there are new reports that near- and off-shore outsourcing does not save as much money as many people assumed. Some reports suggest that quality is a continuing problem, and others complain about language barriers, competing processes and the management challenges that especially plague many off-shore outsourcing projects.

The fate may already be sealed for several reasons. First, the number of management information systems (MIS), information systems (IS), computer science (CS) and computer engineering (CE) majors has fallen so dramatically over the past few years that we’re likely to lose an entire generation of replacement technologists if present trends continue – and they show every sign of doing so. So as the previous generation continues to gray, there will be precious few new ones to keep the skills pipeline full. The obvious outcome is increased demand for the skills – wherever they happen to be.

A second trend that will fuel the demand for more outsourcing is standardization and its cousin, commoditization. The industry is making increasingly less variant stuff work together. While Web Services and service-oriented architectures (SOAs) represent impressive technology they also represent freedom to those who deploy and support technology.

Vendor consolidation is also fueling standardization and commoditization, and if you believe the impact that SOAs will have on software development, support and licensing, the stage is set for the massive de-centralization of cooperative software components. If this playing field truly levels itself out, the door will open even further for outsourcers who will master the new architectures (as a natural extension from where they are now in applications development and integration).

The third trend to watch is “the end of corporate computing,” or the desire to buy services and rent applications rather than deploy and support them in-house. Nick Carr is at it again. In the Spring 2005 issue of the Sloan Management Review, he predicts the end of corporate data centers and the rise of “utility computing.”

Long-term, I think he is absolutely right. Initially, companies will purchase transaction processing services from centralized data centers managed by large technology providers, but over time companies will rent applications developed the old-fashioned way by the same old mega software vendors.

By the Drink

But eventually, as SOA proliferates, new software delivery and support models will develop from the old vendors as well as a host of new ones: “hosting” applications will yield to “assembling” applications. The appeal of “paying by the drink” is just too great to resist – especially since the alternative will still (and forever) require the care and feeding of increasingly difficult-to-find technology professionals.

If you look at these trends there’s plenty of reason to believe that down-the-street, near-shore and off-shore outsourcing will all increase over the next few years and certainly, as I believe, even more in the next decade. The recent backlash that describes failed or too-expensive outsourcing deals – while in many cases are absolutely justified – will be crushed by the inevitability that the above three trends – among others – will create.

While all of these trends are important, I think the most troubling one is the technology-avoidance strategy practiced by so many undergraduates today. It’s as if they’ve all but given up on technology careers, believing instead that they’re better off studying accounting, communications, or history. At least the history majors can help us understand what happened to the US technology market in the early 21st century.

12 Reasons Why Hitting Publish Is Only The Beginning Of Content Marketing

Most of us think our job is done after we hit the “Publish” button on WordPress. We take a deep breath, sit back in our chair, and congratulate ourselves on another article well done. Then we go back to pulling out what’s left of our hair, worrying about how to build more links. While we pull out our hair, though, we miss the Penguin and Panda memo: Content Marketing IS link building.

By now you should already understand the limitless value of high quality content. I hope you understand that publishing lots of low or medium quality articles won’t help and that buying links or joining blog networks will only result in grief in the short or long term.

The article you’ve just published should be full of actionable “gems” that will answer questions that your buyer personas are asking about your brand, industry or service. You’ve given them something of supreme value. And now the real work begins.

Your job is not done after you publish your post. Publishing marks the beginning of the most important aspect of content creation: outreach and promotions.

12 Steps to take after you have written a new blog post:

Optimize your post with keywords: Perhaps you conducted keyword research before and the article is written around a target keyword. In that case, the article should already be optimized. If you wrote around the topic, you’ll have to engage in reverse keyword research. Find the best keyword that matches that article, and include it in the following areas of your article: Meta Title, Meta Description, H1, First Paragraph, and outbound anchor text. If it fits add it in the body of the article one or two more times.

Build a couple of Internal links using keyword in the anchor text: Go back to other posts on your site, and link to this post from other relevant articles. Do a site:search in Google for a keyword relevant to the post and find an article that you’ve written that is relevant to your new article. Then link back to yourself.

Syndicate your content: There are sites that will republish your articles. Business2Community, SocialMediaToday, and other sites will automatically grab content from your RSS feed. Buzzblogger has a fantastic list that you can check out.

Share your post on your Social Media Channels: You can use Jetpack for WordPress or a tool like TwitterFeed to automatically syndicate every article you publish to your networks. If you prefer to send out custom updates, you may want to schedule the updates manually or through a tool like BufferApp.

Repurpose your Content: You already spent the time and energy to research and write your article. Why not create additional content pieces out of your post? Use image creation tools to create an Infographic. Use Screen-Cast-O-Matic to do a screen capture of the topic, and upload it to YouTube and Vimeo. Summarize the article into bullet points and create a Presentation, and upload it to slideshare. Be creative in how you repurpose your content!

Answer questions on Twitter, Quora, or Yahoo Answers: Doing a hashtag search on Twitter can reveal people actively talking about your topic. Why not jump in? Answer question, agree or disagree with other people’s opinions, and add value to the conversation. If relevant, link to your article. If not, just join the conversation and there might be a possibility for creating a connection in the future.

Send a summary of your blog post to your Email List: Using a tool like feedreader or other apps, you can automatically email your mailing list your latest blog post. Or if you prefer, you can include it in your weekly newsletter.

Ask other Bloggers to Share your Post: If you’ve been active in social media or networking communities, it’s like that you’ve built a community around your product or services. Why not reach out to a few of your peers that you think might be interested in your post? Or, if the post is an extremely high quality one, consider launching a full-on outreach campaign.

I know this may seem very cumbersome, especially after all of the effort you spent creating the content. Think of it as a matter of resource allocation. Instead of spending your money and time on link building, you are using your own content assets to build links, and throwing out seeds around your blog posts to generate link opportunities, buzz and engagement. If your content is amazing, all of these steps will be easy and will yield amazing results.

Do you have other steps you take to promote your blog posts? What are your favorite outreach methods used after publishing your posts? Do share!

Vodafone India Applies Intelligent Automation Powered By Amdocs To Improve Billing Efficiency

The automation has significantly helped Vodafone India to reduce the duration of billing cycles and deliver accurate bills to all its post-paid customers faster. This has resulted in a better customer experience and improved revenue realization. Amdocs services also enables Vodafone India to launch new offers and plans in record time, enabling them to be more agile in responding to market situations. “At Vodafone India, our customers are at the heart of everything we do, and we are focused on continuously improving the customer experience, hence this transformation was very important for us. We have successfully improved the customer experience in the areas of bill delivery and accuracy.” said Vishant Vora, Chief Technology Officer at Vodafone India. “The transformation also enabled us to significantly improve our digital offerings to customers enabling them to get their account information and services through digital channels such as the My Vodafone APP and Vodafone websites on a real-time basis.” “Vodafone India is a strong consumer brand built over the years by continuously focusing on the customer,” said Gary Miles, Chief Marketing Officer at Amdocs. “Our products provide the agility needed to quickly innovate and respond to consumer demands in a disruptive market, while enabling a variety of service plans for different segments of consumers. This enables Vodafone India to deliver a superior customer experience and win customer loyalty in one of the world’s most competitive markets.” Amdocs Intelligent Operations is part of Supporting Resources • Find out more about Facebook, About Amdocs Amdocs is a leading software and services provider to communications and media companies of all sizes, accelerating the industry’s dynamic and continuous digital transformation. With a rich set of innovative solutions, long-term business relationships with 350 communications and media providers, and technology and distribution ties to 600 content creators, Amdocs delivers business improvements to drive growth. Amdocs and its 25,000 employees serve customers in over 85 countries. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $3.9 billion in fiscal 2023. For more information, visit Amdocs at Media contact: Jyoti Sharma

Amdocs Service Monetization Suite delivered under a multi-year Intelligent Operations contract, has enabled Vodafone India to automate its billing operations and deliver a superior customer experienceAmdocs, (NASDAQ: DOX), a leading provider of software and services to communications and media companies has announced that it has successfully helped Vodafone India to automate its billing operations and enhance customer experience. The company is also enabling Vodafone India to roll out new services, offers and service plans for its post-paid consumers and enterprise customers faster. Amdocs implemented its Service Monetization suite at Vodafone India in 2023, and subsequently, in 2023, signed a multi-year services contract to manage and automate chúng tôi automation has significantly helped Vodafone India to reduce the duration of billing cycles and deliver accurate bills to all its post-paid customers faster. This has resulted in a better customer experience and improved revenue realization. Amdocs services also enables Vodafone India to launch new offers and plans in record time, enabling them to be more agile in responding to market situations. “At Vodafone India, our customers are at the heart of everything we do, and we are focused on continuously improving the customer experience, hence this transformation was very important for us. We have successfully improved the customer experience in the areas of bill delivery and accuracy.” said. “The transformation also enabled us to significantly improve our digital offerings to customers enabling them to get their account information and services through digital channels such as the My Vodafone APP and Vodafone websites on a real-time basis.” “Vodafone India is a strong consumer brand built over the years by continuously focusing on the customer,” said. “Our products provide the agility needed to quickly innovate and respond to consumer demands in a disruptive market, while enabling a variety of service plans for different segments of consumers. This enables Vodafone India to deliver a superior customer experience and win customer loyalty in one of the world’s most competitive markets.” Amdocs Intelligent Operations is part of AmdocsONE , an open, modular and integrated solution set designed to accelerate the industry’s dynamic and continuous digital transformation.• Find out more about Amdocs Intelligent Operations • Keep up with Amdocs news by visiting the company’s website • Subscribe to Amdocs’ RSS Feed and follow us on Twitter LinkedIn and YouTube Amdocs is a leading software and services provider to communications and media companies of all sizes, accelerating the industry’s dynamic and continuous digital transformation. With a rich set of innovative solutions, long-term business relationships with 350 communications and media providers, and technology and distribution ties to 600 content creators, Amdocs delivers business improvements to drive growth. Amdocs and its 25,000 employees serve customers in over 85 countries. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $3.9 billion in fiscal 2023. For more information, visit Amdocs at chúng tôi Jyoti Sharma E-mail: [email protected] Tel: +91 9650424711

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