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	<title>CERAS imply &#187; AI Automation</title>
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		<title>5 Best Ways to Name Your Chatbot 100+ Cute, Funny, Catchy, AI Bot Names</title>
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		<comments>http://www.cerasimply.com/5-best-ways-to-name-your-chatbot-100-cute-funny/#comments</comments>
		<pubDate>Thu, 20 Jun 2024 07:47:04 +0000</pubDate>
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		<description><![CDATA[Robot Names: 150+ Cool, Funny, Best Robot Names of all times! There are different ways to play around with words to create catchy names. For instance, [&#8230;]]]></description>
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<h1>Robot Names: 150+ Cool, Funny, Best Robot Names of all times!</h1>
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" width="302px" alt="best bot names"/></p>
<p>
<p>There are different ways to play around with words to create catchy names. For instance, you can combine two words together to form a new word. First, do a thorough audience research and identify the pain points of your buyers. This way, you’ll know who you’re speaking to, and it will be easier to match your bot’s name to the visitor’s preferences. Read moreFind out how to name and customize your Tidio <a href="https://www.metadialog.com/blog/cute-chatbot-name/">chat widget</a> to get a great overall user experience. This is before you wade into issues of data privacy or age controls.</p>
</p>
<p>
<p>Human conversations with bots are based on the chatbot’s personality, so make sure your one is welcoming and has a friendly name that fits. Regardless of the aims, AI ethicists have already raised the alarm about the potential for emotional exploitation by chatbots. Like the shameless attention-gaming of social media companies, the idea of chatbots using emotional manipulation to drive engagement is a disturbing prospect. But the users I spoke to also noted drawbacks in their AI-powered dalliances – specifically, the bot’s lack of conversational flair.</p>
</p>
<p>
<h2>Best Open Source AI Chatbot: Microsoft Bot Framework</h2>
</p>
<p>
<p>This bot can practically answer and generate every prompt thrown at it. If you want a helpful text generator to give you ideas for your next, best write-up, this bot is recommended to add to your Discord channel. If you’re looking to  add a multipurpose bot to your Discord server, GAwesome is a perfect choice. It’s a&nbsp;highly customizable and powerful bot, which is not just perfectly good at moderating the chats but also brings a ton of fun features to increase user activity on your server. It can&nbsp;kick, ban or award member ranks&nbsp;but can also be used to&nbsp;conduct polls and giveaways, generate sick memes, and much more.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="best bot names"/></p>
<p>
<p>If your bot name is difficult to spell and pronounce, then users won’t be able to easily interact with your bot. Robotic names are better for avoiding confusion during conversations. But, if you follow through with the abovementioned tips when using a human name then you should avoid ambiguity. At&nbsp;Kommunicate, we are envisioning a world-beating customer support solution to empower the new era of customer support. We would love to have you onboard to have a first-hand experience of Kommunicate. You can signup&nbsp;here&nbsp;and start delighting your customers right away.</p>
</p>
<p>
<h2>ChatSpot</h2>
</p>
<p>
<p>The platform is primarily built for developers who need an open system with maximum control. However, it is also easy for a conversation designer to take over and collaborate with a developer on a project, thanks to the visual conversation builder. Here, browse the list of the top baby boy names for inspiration (or to see if your little one&#8217;s name made the list!). Discord Bots are generally safe if you add them from reliable sources.</p>
</p>
<p><a href="https://www.metadialog.com/"><br />
<figure><img 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' alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='407px'/></figure>
<p></a></p>
<p>
<p>If you overlook unwanted meanings, customers may create different connotations with your bot which may negatively impact your chatbot engagement. However, searching for the right bot name can be daunting, especially when you don’t know where to start. To give you a leg up, I’ve prepared some tips to help you decide and a few chatbot name ideas as a  bonus. Make your bot approachable, so that users won’t hesitate to jump into the chat. As they have lots of questions, they would want to have them covered as soon as possible.</p>
</p>
<p>
<p>Epic RPG is currently one of the best Discord bots that allows you to play text-based RPG games and level up in an incredible battle. The highlight of this game is not just RPG, but you can also earn and sell armor and weapons to server members. It has more than 15 dungeons where you have to beat the dungeon bosses to unlock new commands and features. If you ever wanted a bot dedicated only to music, Jockie Music is one of the best Discord bots that you can add to your server.</p>
</p>
<p>
<p>You can compare names and even conduct market research to see what names customers respond to. Whether it comes from an agency, your team or from an online chatbot name generator, create a shortlist to weigh your options before finalizing the name. The rise of chatbots has caused a boom in the conversational marketing world. The users are flocking to these conversational platforms, leaving businesses at a bottleneck. Chatbots are the hottest trend in technology and if you want to cash in on its popularity, you will need a creative chatbot name that is easy to remember and stands out.</p>
</p>
<p>
<p>This, in turn, creates an opportunity for you to create a unique brand for your chatbot. As every industry evolves, more apps and more services are introduced every day. So, to make things easier for you, we’ve come up with a list of HR chatbot name ideas you can use to get started. There’s no shortage of companies hopping on this new marketing strategy but how does your Chatbot stand out?</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="302px" alt="best bot names"/></p>
<p>
<p>Lyro is a conversational AI chatbot created with small and medium businesses in mind. It helps free up the time of customer service reps by engaging in personalized conversations with customers for them. Although AI chatbots are an application of conversational AI, not all <a href="https://www.metadialog.com/blog/cute-chatbot-name/">chatbots are</a> programmed with conversational AI.</p>
</p>
<p>
<h2>Chatbot Names: How to Pick a Good Name for Your Bot</h2>
</p>
<p>
<p>Its personality avatars make it adept at performing specific tasks while still being able to do just about anything. As helpful as ChatGPT has been for teams, Chatsonic tries to be even more valuable by doing what it can’t. Botsonic is perfect for website owners who offer online customer support. Powered by GPT 4, Botsonic can leverage your customer support material and provide dedicated support to your customers 24/7. Once you’ve decided on your bot’s personality and come up with a shortlist of names, really think about how it fits into your business narrative. Streamline the final chatbot creation process by giving your chatbot a compelling backstory so it becomes easier to script conversations.</p>
</p>
<div style='border: black dashed 1px;padding: 14px;'>
<h3>China&#8217;s Baidu claims its Ernie Bot beats ChatGPT on key tests as A.I. race heats up &#8211; CNBC</h3>
<p>China&#8217;s Baidu claims its Ernie Bot beats ChatGPT on key tests as A.I. race heats up.</p>
<p>Posted: Tue, 27 Jun 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZWh0dHBzOi8vd3d3LmNuYmMuY29tLzIwMjMvMDYvMjcvYmFpZHUtY2xhaW1zLWl0cy1lcm5pZS1ib3QtYmVhdHMtb3BlbmFpcy1jaGF0Z3B0LW9uLWtleS1haS10ZXN0cy5odG1s0gFpaHR0cHM6Ly93d3cuY25iYy5jb20vYW1wLzIwMjMvMDYvMjcvYmFpZHUtY2xhaW1zLWl0cy1lcm5pZS1ib3QtYmVhdHMtb3BlbmFpcy1jaGF0Z3B0LW9uLWtleS1haS10ZXN0cy5odG1s?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>All content is fact-checked by professional journalists prior to publishing. Namelix generates short, branded names that are relevant to your business idea. When you save a name, the algorithm learns your preferences and gives you better recommendations over time. Short domains are very expensive, yet longer multi-word names don’t inspire confidence. No, bots are programmed to ignore commands issued by other bots in the server. You should set a channel as NSFW to use NSFW bots on Discord.</p>
</p>
<p>
<h2>AI bot commands</h2>
</p>
<p>
<p>The best part is that FreeStuff doesn’t bother you with messages for games that are free to play by default. Further,&nbsp;Dank Memer also offers an in-depth moderation system&nbsp;where you can set up keywords and image examples for banning and muting unruly users on the server. All in all, if you love memes then Dank Memer is a must-have Bot for your Discord Server. In comes AI Image Generator, a bot that does the task of Midjourney, without breaking the bank of average users. This bot can generate images from text prompts given by a user. So if you wanted an image of a Capybara sitting on top of a Dragon to be a thing, this bot can do it.</p>
</p>
<p>
<ul>
<li>All in all, this is definitely one of the more innovative uses of chatbot technology, and one we’re likely to see more of in the coming years.</li>
<li>As a result, the conversations users can have with Star-Lord might feel a little forced.</li>
<li>Once you determine the purpose of the bot, it’s going to be much easier to visualize the name for it.</li>
<li>This is a powerful combination that provides a better user experience than traditional chatbots, which rely only on text and NLP.</li>
<li>You can use the bot to play music from SoundCloud, Spotify, Twitch live streams, and more.</li>
</ul>
<p>
<p>Read more about <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> here.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="best bot names"/></p>
]]></content:encoded>
			<wfw:commentRss>http://www.cerasimply.com/5-best-ways-to-name-your-chatbot-100-cute-funny/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>What is Next for Automation at Banks</title>
		<link>http://www.cerasimply.com/what-is-next-for-automation-at-banks/</link>
		<comments>http://www.cerasimply.com/what-is-next-for-automation-at-banks/#comments</comments>
		<pubDate>Thu, 07 Mar 2024 08:45:35 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[AI Automation]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=10323</guid>
		<description><![CDATA[How Banking Process Automation Can Transform Your Financial Institution To meet the growing customer demands and to change market trends, it is essential that businesses start [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
<h1>How Banking Process Automation Can Transform Your Financial Institution</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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6gBL7jpx3WUsegozTJSiAHivb7Uu4wbTfu4/OvRnOTEB1w+14ef/AESAQG3IMoq0wAsYyjO0EXZgBpwaoPIkAGa749GKwARaVgACoBoAIpgABX//2Q==" width="301px" alt="automation banking industry"/></p>
<p>
<p>To meet the growing customer demands and to change market trends, it is essential that businesses start adopting some form of automation into their existing workflow. Deploying  hyperautomation in banking operations is an inevitable trend in the development process. Employing hyperautomation technology can help banks improve employee productivity, work efficiency and most importantly customer satisfaction. Banking  institutions can consider associating with reliable business process outsourcing companies to carry out various financial processes more quickly and efficiently.</p>
</p>
<p>
<p>Banking automation can improve client satisfaction beyond speed and efficiency. Finding the sweet spot between fully automated processes and those that require human oversight is essential for satisfying customers and making sound lending choices. The elimination of routine, time-consuming chores that slow  and results are a significant benefit of automating operations. Tasks like examining loan applications manually are an example of such activities. The paperwork is submitted to the bank, where a loan officer then reviews the information before making a final decision regarding the grant of the loan.</p>
</p>
<p>
<h2>Perfect Digital Experiences with Data Science Capabilities</h2>
</p>
<p>
<p>Robotic process automation allows easier fraud prevention thanks to predictive analytics. On the other hand, robotic process automation (RPA) refers to software that enables business process automation. … that enables banks and financial institutions to automate non-core banking processes without coding. There has been a rise in the adoption of automation solutions for the purpose of enhancing risk and compliance across all areas of an organization.</p>
</p>
<p>
<ul>
<li>This is how companies offer the best wealth management and investment advisory services.</li>
<li>Financial enterprises can streamline processes and improve overall efficiency by automating customer-facing and internal enterprise workflows.</li>
<li>Help your organization continue to grow and innovate by digitizing your banking workflows today.</li>
<li>For example, Credigy, a multinational financial organization, has an extensive due diligence process for consumer loans.</li>
<li>They promptly trigger alerts or block suspicious transactions, fortifying security and safeguarding customer assets.</li>
</ul>
<p>
<p>According to The Financial Brand, 2018; 42% of consumers report that they now use their banking providers mobile app more now than <a href="https://www.metadialog.com/blog/automation-in-banking-industry/">they did</a> 12 months ago. Almost every bank and credit union now have its own mobile application; however, just having a mobile banking doesnt imply its being used to its full potential. Banks face challenges to keep their clients delighted, and provide a mobile banking experience thats quick, easy to use, fully featured, secure, and routinely updated. Despite the advantages, banking automation can be a difficult task for even IT professionals. Banks can automate their processes with the use of technology to boost productivity without complicating procedures that require compliance. Know your customer processes are rule-based and occupy a lot of FTE&#8217;s time.</p>
</p>
<p>
<h2>Step 3: Loan Documentation, eSignature, and Storage</h2>
</p>
<p>
<p>Your money was then sucked up via pneumatic tube and plopped onto the desk of a human bank teller, who you could talk to via an intercom system. Discover how leaders from Wells Fargo, TD Bank, JP Morgan, and Arvest transformed their organizations with automation and AI. In today&#8217;s banks, the value of automation might be the only thing that isn&#8217;t transitory. We will customize the research for you, in case the report listed above does not</p>
<p>meet with your exact requirements. Our custom research will comprehensively cover</p>
<p>the business information you require to help you arrive at strategic and profitable</p>
<p>business decisions. Nanonets online OCR &amp; OCR API have many interesting use cases that could optimize your business performance, save costs and boost growth.</p>
</p>
<div style='border: grey solid 1px;padding: 14px;'>
<h3>Banks must maintain human connectivity as automation rises &#8211; FinTech Magazine </h3>
<p>Banks must maintain human connectivity as automation rises.</p>
<p>Posted: Sun, 16 Apr 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiX2h0dHBzOi8vZmludGVjaG1hZ2F6aW5lLmNvbS9hcnRpY2xlcy9iYW5rcy1tdXN0LW1haW50YWluLWh1bWFuLWNvbm5lY3Rpdml0eS1hcy1hdXRvbWF0aW9uLXJpc2Vz0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Read more about <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> here.</p></p>
]]></content:encoded>
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		</item>
		<item>
		<title>AI Image Recognition: The Essential Technology of Computer Vision</title>
		<link>http://www.cerasimply.com/ai-image-recognition-the-essential-technology-of/</link>
		<comments>http://www.cerasimply.com/ai-image-recognition-the-essential-technology-of/#comments</comments>
		<pubDate>Tue, 27 Feb 2024 13:01:26 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[AI Automation]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=10317</guid>
		<description><![CDATA[8 Best AI Image Recognition Software in 2023: Our Ultimate Round-Up Image recognition applications lend themselves perfectly to the detection of deviations or anomalies on a [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
<h1>8 Best AI Image Recognition Software in 2023: Our Ultimate Round-Up</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="305px" alt="ai photo recognition"/></p>
<p>
<p>Image recognition applications lend themselves perfectly to the detection of deviations or anomalies on a large scale. Machines can be trained to detect blemishes in paintwork or foodstuffs that have rotten spots  which prevent them from meeting the expected quality standard. Another popular application is the inspection during the packing of various parts where the machine performs the check to assess whether each part is present.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="ai photo recognition"/></p>
<p>
<p>Both of these fields involve working with identifying visual characteristics, which is the reason most of the time, these terms are often used interchangeably. Despite some similarities, both computer vision and image recognition represent different technologies, concepts, and applications. Image recognition is also helpful in shelf monitoring, inventory management and customer behavior analysis. However, if specific models require special labels for your own use cases, please feel free to contact us, we can extend them and adjust them to your actual needs. We can use new knowledge to expand your stock photo database and create a better search experience.</p>
</p>
<p>
<h2>Best AI Image Recognition Software: My Final Thoughts</h2>
</p>
<p>
<p>Still, you may be wondering why AI is taking a leading role in image recognition . And while Big Tech companies have been holding back, smaller startups pushing the technology are gaining momentum like PimEyes, and another called Clearview AI, which provides AI-powered face search engines to law enforcement. For example, in the above image, an image recognition model might only analyze the image to detect a ball, a bat, and a child in the frame. Whereas, a computer vision model might analyze the frame to determine whether the ball hits the bat, or whether it hits the child, or it misses them all together. To understand how image recognition works, it’s important to first define digital images.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="ai photo recognition"/></p>
<p>
<p>They work within unsupervised machine learning, however, there are a lot of limitations to these models. If you want a properly trained image recognition algorithm capable of complex predictions, you need to get help from experts offering image annotation services. Clarifai is a leading deep learning AI platform for computer vision, natural language processing, and automatic speech recognition. We help enterprises and <a href="https://www.metadialog.com/blog/ai-in-image-recognition/">public sector</a> organizations transform unstructured images, video, text, and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own.</p>
</p>
<p>
<h2>Designing the Network</h2>
</p>
<p>
<p>In quality control or <a href="https://www.metadialog.com/blog/ai-in-image-recognition/">inspection applications</a> in production environments, this is often a zone located on the path of a product, more specifically a certain part of the conveyor belt. A user-friendly cropping function was therefore built in to select certain zones. Derive valuable analytics and insights from visual data that may otherwise be trapped in images and videos. For instance, using object detection to track how frequently a particular product appears or analyze demographic data. Artificial Intelligence-based image recognition technology can be used to identify relevant Creators for a marketing campaign. This technology can analyze the images used in previous posts by Creators and identify patterns in the content.</p>
</p>
<div style='border: black dotted 1px;padding: 14px;'>
<h3>New Excire Foto 2024 Update Adds Powerful Prompt-Search and AI &#8230; &#8211; PetaPixel</h3>
<p>New Excire Foto 2024 Update Adds Powerful Prompt-Search and AI &#8230;.</p>
<p>Posted: Mon, 02 Oct 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZmh0dHBzOi8vcGV0YXBpeGVsLmNvbS8yMDIzLzEwLzAyL25ldy1leGNpcmUtZm90by0yMDI0LXVwZGF0ZS1hZGRzLXBvd2VyZnVsLXByb21wdC1zZWFyY2gtYW5kLWFpLXRvb2xzL9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Additionally, image recognition technology is often biased towards certain objects, people, or scenes that are over-represented in the training data. Opinion pieces about deep learning and image recognition technology and artificial intelligence are published in abundance these days. From explaining the newest app features to debating the ethical concerns  of applying face recognition, these articles cover every facet imaginable and are often brimming with buzzwords. You can be excused for finding it hard to keep up with the hype, especially if your business doesn’t routinely intersect with high-tech solutions and you became interested in the capabilities of computer vision only recently. AI image recognition can be used to enable image captioning, which is the process of automatically generating a natural language description of an image.</p>
</p>
<p>
<h2>How to build an image recognition app for Android</h2>
</p>
<p>
<p>On the adoption front, however, the Fawkes team admits that for their software to make a real difference it has to be released more widely. They have no plans to make a web or mobile app due to security concerns, but are hopeful that companies like Facebook might integrate similar tech into their own platform in future. In our own tests we found that Fawkes is sparse in its design but easy enough to apply. It takes a couple of minutes to process each image, and the changes it makes are mostly imperceptible.</p>
</p>
<p>
<ul>
<li>/ Sign up for Verge Deals to get deals on products we&#8217;ve tested sent to your inbox daily.</li>
<li>This category was searched on average for 699 times per month on search engines in 2022.</li>
<li>Tailored for grocery retail, Vispera’s IR-based products meet the needs of the industry with specific customer needs and use cases.</li>
<li>More software companies are pitching in to design innovative solutions that make it possible for businesses to digitize and automate traditionally manual operations.</li>
<li>As with many tasks that rely on human intuition and experimentation, however, someone eventually asked if a machine could do it better.</li>
</ul>
<p>
<p>Read more about <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> here.</p></p>
]]></content:encoded>
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