Marketing


Biggest Innovations in Cognitive Technology Market to Access Global Industry Players like Xiaomi, Foxconn, Lenovo – IT Technology News24

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Cognitive computing describes technologies that are based on the scientific principles behind artificial intelligence and signal processing, encompassing machine self-learning, human-computer interaction, natural language processing, data mining and more. An intelligence report titled Cognitive Technology market was recently published by QYReports. The Cognitive Technology market has been examined on the basis of technological advancements and recent trends of the Cognitive Technology sector. It has been accumulated on the basis of what drives or impedes business in real world scenarios. Informative data sourced from different case studies and industry experts, views and opinions of business leaders and various c level peoples have all been listed in this ubiquitous report.


Want to Reduce CPA? Try Machine Learning–Driven Retargeting.

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The way we do retargeting is restrictive. Creating a tailored, personalized campaign is often done with micro-triggers: Did the user spend more than X minutes on the site? Did they view more than Y pages? Did they add to cart? Are they visiting on mobile?


The Rise of the Machines and the Impact of Artificial Intelligence on Digital Marketing

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It's the year 2019--and the rise of the machines is transforming digital marketing. Nowadays, AI makes it much easier to generate information for online shoppers directly from a website or in the search results. Yes, that horror movie recommended in your streaming library is generated from AI. Artificial intelligence can both generate and curate content to personalize the user experience. The system is able to generate content based on matching data and information that has been indexed through the internet. For instance, you may notice this as a pop-up that appears as soon as a user visits your website.


Ethics guidelines for trustworthy AI - Digital Single Market - European Commission

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The Guidelines put forward a set of 7 key requirements that AI systems should meet in order to be deemed trustworthy. The AI HLEG has also prepared a document which elaborates on a Definition of Artificial Intelligence used for the purpose of the Guidelines. The document also provides an assessment list that operationalises the key requirements and offers guidance to implement them in practice. Starting from the 26th of June, this assessment list undergoing a piloting process, to which all stakeholders are invited to test the assessment list and provide practical feedback on how it can be improved.


How Machine Learning Can Maximize the Success of Marketing Campaigns

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Machine Learning, ML, is not new. Don't be shocked; the good old MS Word Spelling and Grammar Checker also used machine learning principles, as does any search engine. What's all the buzz about, then, you wonder? Well, the buzz is justified, because machine learning has advanced with such dizzying speed, that it's already helping digital marketers change their fortunes within days. Not only with marketing campaigns, but machine learning is also revolutionizing Wi-Fi and even the top wireless routers leverage the power of AI.


Impact of Artificial Intelligence in Digital Marketing

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Artificial Intelligence and Digital Marketing are making it to the headlines. There are ample opportunities in both the field. In this blog Present Slide has tried to give a view over the impact of AI in the field of Digital marketing.


The Future of Artificial Intelligence in Digital Marketing

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Artificial Intelligence in Digital Marketing Both the Artificial Intelligence and Digital Marketing fields are in Trend. People already started guessing the possibilities with combination of both field. Many of them have already created multiple blueprints of how AI will change the marketing domain. As it is seen in recent time that Artificial Intelligence is out ranking human beings. AI has recently found elements in Scientific research which were hidden from the mind of scientists.


Oracle arms B2B firms with tools to align sales and marketing while improving CX - B2B News Network

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Oracle on Tuesday used its 2019 Openworld conference in San Francisco to introduce ways for B2B firms to bring sales and marketing data together, as well as tools to personalize and customer experiences based on a variety of contextual data. Among the updates announced as part of its customer event this week, the business software giant said it was going to offer an integration between its marketing automation applications and Oracle DataFox. Acquired last year, Datafox brought Oracle an artificial intelligence (AI) data engine designed to continuously extract company-level data and signals to help companies see where they can grow. The Oracle Datafox integration will mean B2B firms can have a richer view of accounts, which will help them rank and prioritize opportunities, said Rob Tarkoff, Oracle's executive vice-president and general manager, CX Cloud. "CX applications will no longer be trapped by data that sits in different silos," Tarkoff said during a keynote session, which was livestreamed from Oracle Openworld.


Mountainise Ultimate Solution for Business Growth in Digital Landscape

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Artificial Intelligence and Machine Learning tailored solutions for marketing & performance optimization, customer success journey and data science. Take our clients' word for it. They have the ability to deliver what they claim. Our social buzz and lead generation increased significantly. The team knowledge of social media and techniques of market research is very impressive.


5G Network Slice Orchestration with OSM - SDxCentral

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Automation is now carriers' top priority. Automation is necessary to operate 5G and needed to fully monetize new services enabled by NFV and SDN – required to scale for IoT and more. The market makers at the start of the Zero Touch journey and the future of Network & Service Management presented in Madrid at the second Zero Touch Automation Congress. Fresh approaches such as Artificial Intelligence and Machine Learning are going to revolutionize telecoms networking operations and the strategic shift is already underway, in this transformation of Network Operations, NFV Orchestration & Services Management to an automated future.