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How AI is Changing the Field-of-Play for Organizations - IntelligentHQ


Artificial intelligence can be found in many of the devices and software systems we use for our personal lives and professional responsibilities. Whether it's the digital assistant you keep in your kitchen to set voice timers while cooking or the customer service representative you're sending messages to about return policies online, this technology is encountered more and more each day as its capabilities expand. Many organizations are integrating digital software programs that come with AI technology built into them in order to modernize, digitize, and increase efficiency for purchasing and production. Chatbots, one of the most popular types of tech benefiting businesses, are digital assistants often incorporated into digital software programs internally to save the time and energy of an employee. The chatbot serves the purpose of answering site visitor questions and handling customer service requests, which can free up time on employees' busy schedules and allow them to dedicate more time to other projects.

What Is Conversational AI - Uses and Insights


When people call a customer service line or use an online support helper, they may notice that sometimes their responses may not seem like a person. The technologies that develop these bots that can talk to people are called conversational AI. In this article, we will examine the technology behind conversational AI and what they are used for. Keep reading to find out more! Conversational artificial intelligence (AI) uses technology to create virtual agents or robots that users can talk to. They aren't actually physical robots, but rather large volumes of data that people can query to return answers to questions to their users.

Top 10 Data and Analytics Technology Trends for 2020 - IntelligentHQ


Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. "To innovate their way beyond a post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts," said Rita Sallam, distinguished research vice president at Gartner. AIBy the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a 5 times increase in streaming data and analytics infrastructures. Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures.Other smarter AI techniques such as reinforcement learning and distributed learning are creating more adaptable and flexible systems to handle complex business situations; for example, agent-based systems that model and simulate complex systems. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. As a result, the amount of time users spend using predefined dashboards will decline.

How AI is Used in Online and Mobile Games - IntelligentHQ


Artificial intelligence is everywhere these days. We utilise it in a broad selection of different devices and technological systems, but it is frequently employed in online and mobile games. When it comes to understanding how AI is utilised in these situations, people's understanding is often woefully lacking. This is a shame because artificial intelligence does play a broad role in online and mobile games. Let's take a look at exactly how this is the case.

AI and IoT Continue to Increase Interoperability Demands in 2021 - IntelligentHQ


We've been experiencing tremendous changes in our lives with the advent of IoT-based devices and equipment. So, the demand for IoT development services and the guidance of DPO services has increased in various industries, including healthcare, logistics, education, retail, and others. Still, the future of IoT is in its win-win combination with artificial intelligence. For the last few years, growing demand for AI and IoT interoperability is observed in almost every sector where IoT has proved its efficiency. Let's take a closer look at how we can leverage the two technologies combined.