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Shaping artificial intelligence for your future business needs

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Ironically, the impact on jobs – although widely uncertain – is the part that people professionals are probably already well placed to handle. They will be all too familiar with changes to staffing requirements caused by global shocks, new products and opportunities, or the behaviour of competitors. They will therefore find they can deal with the most talked about bit of AI – the robo-apocalypse on jobs – in their stride. There are, however, a host of other, less well-discussed, challenges that business leaders will need to think about in order to harness the potential that artificial intelligence has to make organisations more efficient and more effective. Artificial intelligence (AI) is an umbrella term for a suite of technologies that performs tasks usually associated with human intelligence.


Google will modify search algorithms to tackle clickbait

The Guardian

Google is tweaking its search results in an effort to prioritise "content by people, for people" and fight back against the scourge of clickbait, the company says. "We know people don't find content helpful if it seems like it was designed to attract clicks rather than inform readers," Danny Sullivan, from Google, said in a blog post. "Many of us have experienced the frustration of visiting a webpage that seems like it has what we're looking for, but doesn't live up to our expectations. The content might not have the insights you want, or it may not even seem like it was created for, or even by, a person." So-called "SEO spam", content written explicitly for the purposes of appearing high up on the results pages of search engines, has long been a thorn in the side of companies like Google.


Waterdrop Unveiled Its First Digital Employee Waterdrop Assistant

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Waterdrop Inc. ("Waterdrop", the "Company" or "we") (NYSE: WDH), a leading technology platform dedicated to insurance and healthcare service with a positive social impact, recently announced that it officially launched its first digital employee "Waterdrop Assistant". "Waterdrop Assistant" is a human-like virtual employee that was developed based on Waterdrop's business processes and is powered by multiple technologies, including robotic process automation (RPA) and artificial intelligence (AI). "Waterdrop Assistant" can help the online insurance service team with numerous tasks, including data processing and analysis, online user management, and customer services, thus improving the response time, quality, and scope of the Company's customer service team. Mr. Mingxing Huang, Head of AI at Waterdrop, commented, "The introduction of digital employees is our latest exploration to continue promoting the digital transformation of the insurance industry, to reduce operating costs, and improve the efficiency of insurance services. Specifically in our case, 'Waterdrop Assistant' has helped shorten the response time, lower operating costs, and unleash the potential of our staff. Our analysis shows that since its launch, 'Waterdrop Assistant' has processed 86% of the user sessions with a 97% accuracy rate for intention recognition, helping free up 37% of the customer service manpower and effectively increase the policy renewal rate. Currently, 'Waterdrop Assistant' is responsible for highly repetitive and labor-intensive tasks, however, it has also undergone constant system iterations and architecture upgrades through ongoing machine learning. For example, in the fourth quarter of 2021, Waterdrop Assistant completed 20-plus system iterations and 3 architecture upgrades accumulatively. Our next goal is to enable'Waterdrop Assistant' to independently complete tasks for more complex and interactive scenarios and play a bigger role in the process of sales inquiry, underwriting review, risk control, and claim settlement."


What Is Artificial Intelligence (AI)

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Natural language processing (NLP) enables an intuitive form of communication between humans and intelligent systems using human languages. NLP drives modern interactive voice response (IVR) systems by processing language to improve communication. Chatbots are the most common application of NLP in business. Advanced virtual assistants, sometimes called conversational AI agents, are powered by conversational user interfaces, NLP, and semantic and deep learning techniques. Progressing beyond chatbots, advanced virtual assistants listen to and observe behaviors, build and maintain data models, and predict and recommend actions to assist people with and automate tasks that were previously only possible for humans to accomplish.


NLP Data Science Intern

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Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives. Verusen is venture-backed by leading investors from San Francisco to Boston, and is a Signature Company at Georgia Tech's Advanced Technology Development Center (ATDC). Verusen is a portfolio company of SAP.iO.


What Does ETL Have to Do with Machine Learning? - KDnuggets

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You may have heard ETL getting thrown in sentences here and there when you're reading blogs or watching YouTube videos. So what does ETL have to do with machine learning? For those who don't already know, machine learning is a type of artificial intelligence that uses data analysis to predict accurate outcomes. It is the machine learning algorithms that produce these predicted outputs by learning on historical data and its features. It is the process of moving data from multiple sources to bring it to a centralized single database.


Will Artificial Intelligence Learn Morals?

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In 2002, I waited more than ten minutes to download a single song using a 56k dial-up modem. Audio cassettes were still very much in vogue. Fast forward to 2022, and one can now instruct their phone or car to play their favorite tracks using their voice. We can sign into our favorite music streaming service automatically, and it shows us the music and artists that may fit depending on the mood, the time or the occasion. One can automate nearly all electrical systems in their house to operate on their schedule (remind them to get groceries, switch on lights when they enter, etc.).



Remote Drupal openings in Austin, United States on August 18, 2022 – Web Development Tech Jobs

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Role requiring'No experience data provided' months of experience in None My name is Avdhesh Kumar and I am a Staffing Specialist at Intellectt Inc. I am reaching out to you on an exciting job opportunity with one of our clients.


Real-world AI assistant: Google combines a large language model with an everyday robot

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In the PaLM-SayCan project, Google is combining current robotics technology with advances in large language models. Advances in large-scale AI language models have so far mainly arrived in our digital lives, such as text translation, text and image generation, or behind the scenes, when tech platforms use language AI to moderate the content. In the PaLM-SayCan project, various Google divisions are now combining the company's most advanced large-scale speech model to date with an everyday robot that could one day help in the home – an assistant for the real world. But that will take a while yet. Google unveiled the giant AI language model PaLM in early April, crediting the model with "breakthrough capabilities" in language understanding and, specifically, reasoning. PaLM stands for "Pathways Language Model" – making it a building block in Google's grand Pathways AI strategy for next-generation AI that can efficiently handle thousands or millions of tasks.