social media management
Automate Your Social Media Management with AI
Social media management is an essential aspect of modern business strategies. However, it can be time-consuming and labor-intensive. Artificial Intelligence (AI) offers a range of tools and techniques to automate and optimize your social media management, saving time, increasing efficiency, and boosting engagement. In this article, we will explore the benefits of using AI in social media management, provide examples of AI-powered tools, and offer a step-by-step guide to implementing AI for better social media performance. AI offers a powerful set of tools and techniques to automate and optimize social media management, making it more efficient, data-driven, and effective.
AI's impact spreads to myriad sectors, from the arts to transport to social media management
After turning heads with her paintings of icons like Queen Elizabeth II and Sir Paul McCartney, artificial intelligence robot Ai-Da made a historic appearance in the UK's House of Lords on October 11, where the sophisticated automaton answered questions as part of a wider inquiry into the relationship between technology and creativity in the modern world. Ai-Da's parliamentary cameo is a reminder that emerging AI technologies have a more diverse range of positive applications than many people might think. As well as its extensive use in the creative sector (which is often heralded as the defining distinction between human and robot), AI also has much to offer in terms of improving safety, efficiency, and the overall user experience in a variety of different industries and areas. Ai-Da might be commanding much of the headlines surrounding AI art at the moment, but she represents the merest tip of the iceberg when it comes to AI's contribution to the creative sector. Indeed, the gaming industry has been one of the driving forces and guinea pigs behind the development of the technology, with the first chess algorithms coming out in the 1950s and IBM's Deep Blue creating quite the storm in 1997 when it beat then-Grandmaster Garry Kasparov.
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What is Text Analytics? - Compare Reviews, Features, Pricing in 2019 - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices
Text Analytics is the process of converting unstructured text data into meaningful data for analysis, to measure customer opinions, product reviews, feedback, to provide search facility, sentimental analysis and entity modeling to support fact based decision making. Text analysis uses many linguistic, statistical, and machine learning techniques. Text Analytics involves information retrieval from unstructured data and the process of structuring the input text to derive patters and trends and evaluating and interpreting the output data. It also involves lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, information extraction, link and association analysis, visualization, and predictive analytics. Text Analytics determines key words, topics, category, semantics, tags from the millions of text data available in an organization in different files and formats.
9 health technologies every executive should be excited about in 2019 - Healthcare Weekly
Get the latest in healthcare leadership, news, and innovation. There's never been a more exciting time to be in the digital healthcare space than right now. With the explosion of content capabilities, endless social opportunities and underpriced attention in so many platforms – there's a huge amount to be excited about. Health technologies encompass all the devices, medicines, vaccines, procedures and systems designed to streamline healthcare operations, lower costs and enhance quality of care. Artificial intelligence (AI), blockchain, voice search, chatbots and virtual reality (VR) are among the most promising health technologies in 2019.
How Chatbots Can Help You Future-Proof Your Startup - AlleyWatch
Chat platforms are quickly becoming the new social media, creating meteoric growth for platforms such as Slack. More than 3 million users from companies including NASA, eBay, and Inc. already use Slack, which has been working to integrate chatbots capable of making everyone's job easier. In the past year, Facebook, Twitter, Microsoft, Google, and Amazon have all created APIs for chatbots and artificial intelligence assistants. They've joined the hundreds of millions of users in Asia who interact with bots through Line and WhatsApp. Chatbots are positioned to serve as digital assistants, with the ability to handle basic tasks such as scheduling meetings, answering routine questions, and setting follow-up reminders. They have rapidly become the hottest technology resource in the business world.
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