<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>K&#039;sアソシエーションズ株式会社 &#187; AI News</title>
	<atom:link href="http://ksasc.com/?cat=76&#038;feed=rss2" rel="self" type="application/rss+xml" />
	<link>http://ksasc.com</link>
	<description>下関市の電気工事・デザイン会社</description>
	<lastBuildDate>Sat, 11 Apr 2026 16:52:54 +0000</lastBuildDate>
	<language>ja</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.6</generator>
		<item>
		<title>The AI Revolution in Hospitality: How Artificial Intelligence is Reshaping Hotel Finances By Are Morch</title>
		<link>http://ksasc.com/?p=3782</link>
		<comments>http://ksasc.com/?p=3782#comments</comments>
		<pubDate>Thu, 25 Jul 2024 16:36:54 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[AI News]]></category>

		<guid isPermaLink="false">http://ksasc.com/?p=3782</guid>
		<description><![CDATA[Aloft Hotels, Part of Marriott International, Launches  ...]]></description>
				<content:encoded><![CDATA[<p>
<h1>Aloft Hotels, Part of Marriott International, Launches &#8220;ChatBotlr&#8221; Mobile Service</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="300px" alt="chatbots hotel"/></p>
<p>
<p>Recently, the Transportation Security Administration began using AI for facial recognition and ID verification in airports across the United States. Facial recognition technology uses biometrics to analyze facial features, fingerprints and iris patterns to verify a person&#8217;s identity. Security is a top concern for many travelers, especially in airports and other populated areas. As the weather gets warmer and the school year comes to a close, many families are gearing up for travel this summer. But the emergence of AI in travel has significantly changed the travel experience.</p>
</p>
<p>
<p>Digital marketing is the way forward, which includes social media. Social commerce is so critically important, because consumers are influenced when their friends are posting content that they engage with. People are not looking at your paid advertising message and deciding to come to you. But when you think about lower funnel marketing, it’s more effective in luxury than it is for some of the other brands because we are not discount driven. What you&#8217;re trying to do is create desire for your brand that is prompting people to buy. Well, no, we are making huge investments because you won’t be able to create these without working on it to make it happen.</p>
</p>
<p>
<p>AI-powered workforce management tools are helping hotels optimize their staffing levels based on predicted occupancy and service demands. These systems can create more efficient schedules, reducing overtime and overstaffing while ensuring adequate coverage during peak times. Red Sea Global, a company fully owned by Saudi Arabia’s&nbsp;Public Investment Fund, is exploring the possibility of a public market offering, with plans to launch as early as 2026.</p>
</p>
<p>
<h2>Human-AI Harmony: The Future of Hospitality</h2>
</p>
<p>
<p>I thought I understood that trend, but Glenn’s view is that it’s actually an outlier. Even the biggest chains in the world, he said — your Marriotts and your Hyatts —&nbsp; benefit from online travel managers like Booking because the world is so big and complicated. From where he sits, the hotels don’t necessarily want to operate customer service in a hundred languages or take dozens of different payment methods, and that’s the service Booking is offering.</p>
</p>
<p>
<p>Pana claims to combine chatbots, humans and artificial intelligence to help companies and professionals manage travel. While professionals can use the app for individual business trips, companies can use the app to assist guests that they’ve invited to their offices, such as interns, job candidates, or other colleagues. All users of Pana’s free and paid versions require a company email to download the app. The service continues to be powered by humans, without the help of artificial intelligence and machine learning. The data and analytics shared here illustrate just what’s possible, but achieving these results requires more than just adopting AI—it requires a well-structured strategy and system. For AI and people to work in harmony, the right approach ensures that technology is both cost-effective and a key differentiator for your hotel in a competitive market.</p>
</p>
<p>
<p>Selling gift cards, both on property and using Maestro’s online gift card feature, redeemable for hotel stays and amenities is a viable way to drive millions of dollars in untapped revenues without impacting service. To maintain the effectiveness of AI in hospitality, continuous evaluation is crucial. This ongoing process ensures that AI tools and systems remain relevant as guest expectations evolve and new technologies emerge. Regular evaluation helps identify areas for improvement, whether in the AI applications themselves or in how staff interact with the technology. Additionally, this stage encourages innovation by highlighting opportunities to expand AI use into new areas of hotel operations.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/feed_images/how-to-use-ai-in-customer-service-3-use-cases-img-4.webp" width="306px" alt="chatbots hotel"/></p>
<p>
<p>Enhancement details will be discussed at Maestro’s Accelerate User Conference, to be held April 15 to 18 at the Omni King Edward Hotel in Toronto. Gold sponsors of the annual conference include integration partners Silverware (point of sale), PurpleCloud Technologies (team and service optimization), and Fetch (guest messaging and engagement). Maestro PMS users can register for the event by clicking here. In addition to the chatbot, Amadeus has upgraded its iHotelier Suite in April 2024, delivering a comprehensive set of customisable solutions to enhance the hotel tech stack experience.</p>
</p>
<p>
<p>The introduction of Xiao Xi now provides an additional online platform to provide exceptional services to guests. Born on February 19, 2020, Xiao Xi, Hilton’s first AI customer service chatbot, provides Hilton Honors members and all guests with a quick and convenient one-stop source for travel advisory services. Honors members and guests can ask Xiao Xi various travel-related questions such as hotel information, local weather, Hilton Honors checking and promotion details. Xiao Xi is able to provide additional advice on travel and will even entertain guests throughout their journeys by continuously offering smart suggestions and tips through intensive trainings. Two notable benefits are the consistency of responses and being a preferred method for those customers whose preferred method of communication is online chat.</p>
</p>
<p>
<p>Integrating AI should not only focus on deploying new technologies but also on enhancing the skills of the hotel staff. Voice-activated AI assistants can provide guests with a hands-free way to control room features, request services, or get any information they need. These assistants can be integrated with other hotel services to offer a seamless experience that is modern as well as personal. AR/VR-powered software can revolutionize how guests interact with  the hotel before even beginning their journey. Potential guests can take virtual tours of rooms and facilities or see realistic previews of amenities and local attractions. This can help them in making informed decisions about bookings.</p>
</p>
<p>
<p>We will also conduct  an assumption-implication analysis covering risk-return assessments, target customers, and business scope. Navigating challenges in guest communication, Leonardo Hotels leveraged HiJiffy’s innovative solution to streamline operations and foster seamless interactions. Through firsthand testimonials, discover how this partnership enabled Leonardo Hotels to increase service quality and efficiency, setting new benchmarks in guest satisfaction. Transforming the hospitality landscape, HiJiffy pioneers the integration of advanced conversational AI with its Guest Communications Hub, revolutionising how hotels engage with their guests.</p>
</p>
<p>
<h2>AI and Sustainability: A Greener Future</h2>
</p>
<p>
<p>The goal is to use AI to enhance, not replace, the personal connections that define exceptional service. Gamification offers a powerful tool to make the transition to AI-enhanced operations more engaging and effective for employees. To successfully integrate AI and address longstanding industry challenges, hotels can adopt the Blue Ocean Fair Process. This approach ensures that changes are implemented collaboratively, with buy-in from all stakeholders.</p>
</p>
<p>
<p>Particularly, client service is a pivotal element of the trip sector, with hospices constantly making or breaking deals with their patrons. The options for enhancing this element using artificial intelligence are virtually measureless and range from enhanced personalization to technical recommendations. MIT professor Joseph Weizenbaum created ELIZA, the first chatbot, in 1966. Beginning with the pattern identification of rulings and affiliated answers, the discussion was carried on.</p>
</p>
<p>
<p>Analysis of customer data helps hotels segment their audience and provide personalized services to tech-savvy and traditional guests alike. The hospitality industry has long been defined by its ability to deliver exceptional guest experiences, combining personal touches with efficiency. But in today’s digital world, artificial intelligence (AI) has emerged as a game-changer. With its ability to drive both operational efficiency and enhanced guest satisfaction, AI has the power to transform hotels, ensuring they not only survive but thrive in a competitive market. The integration of Artificial Intelligence (AI) in the hospitality sector is reshaping how hotels operate, enhancing guest experiences, improving operational efficiencies, and even bolstering their sustainability efforts. From smart room technology to AI-powered concierge services, the industry is witnessing a transformative shift.</p>
</p>
<p>
<p>And of course, they are separate companies, so they all have their own design, their own technology, their own CTOs, their own chief product&#8230; From established online travel agencies to the latest travel startups, we have the latest news on everything in online travel. Booking.com has yet to release anything powered by OpenAI the company behind ChatGPT, or Google’s Bard, a rival.</p>
</p>
<p>
<p>We’ll be appealing this, so it’s not over until it’s over on that one. Everybody would like customers to come to them directly and at no cost. Distribution’s a very important part about how you sell stuff, but the desire to sell directly has always been there and always will be there. So, I know there are going to be some soft times, there are going to be some great times.</p>
</p>
<p>
<p>Since launch,&nbsp;Four Seasons Chat&nbsp;has exchanged over 3.5million messages, allowing guests to connect with guest services personnel on property in real time, for any need, creating more opportunities to personalize the travel experience. Incorporating Artificial Intelligence in hotels is stipulated to transform room services completely by 2025 through the process of creating personalized experiences that will incorporate individual preferences. Towards this, hotels will integrate chatbots and AI as a useful tool to acquire and retain <a href="https://www.metadialog.com/blog/chatbots-in-the-hotel-business/">chatbots hotel</a> various demographics. Sojern specialises in data-driven digital marketing and real-time bidding, helping hotels target potential guests more accurately and increase their online visibility. The advantage of using Sojern is its ability to reach potential guests at the right time with the right message, thereby increasing the chances of conversion. Imagine having access to real data and analytics that show exactly how AI is transforming hotels today—boosting revenue, enhancing guest experiences, and optimizing operations.</p>
</p>
<p>
<p>And to imagine that a generative AI, human-like agent will be able to deal with all these things and all its possibilities tomorrow is not real. Yeah, I think we’ll get there; it’s just going to take some time. Let’s end on the AI piece, which, you’ve mentioned several times, is an investment <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> that every company is making. The idea that I have a problem when I travel, and I can just speak in natural language to an assistant that will help me solve that problem, is very powerful. Do you think the AI systems we have today can actually do the things we want them to do?</p>
</p>
<p>
<p>By investing in both cutting-edge technology and the boundless creativity of their workforce, these pioneers will create a new blueprint for hospitality – one that is more efficient, more personalized, and more rewarding for all stakeholders. Artificial Intelligence is revolutionizing hotel loyalty programs by offering hyper-personalized rewards and experiences. By analyzing guest data, AI can predict which perks and offers are most likely to resonate with individual members, increasing program engagement and repeat bookings. United Arab Emirates-based online travel company Musafir.com has signed an agreement to promote the heritage destination of AlUla in Saudi Arabia. Having received 185,000 visitors last year, AlUla has set a target of 250,000 visitors for this year. “AlUla is ready to receive up to 250,000 visitors in 2023, the majority of which will come from neighboring nations.</p>
</p>
<p>
<div style='border: black dotted 1px;padding: 14px;'>
<h3>News  Hoteliers Key In on Using AI To Support People &#8211; CoStar Group</h3>
<p>News  Hoteliers Key In on Using AI To Support People.</p>
<p>Posted: Tue, 06 Aug 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMikAFBVV95cUxQMV9TSWd3MXNkYnA5SXhtN3Y0U0dHaTVWNC1vSGs2Snp3ZWlxNjFDSHBaLUVVVm9WV2VRR3ZvZzJTNkZkQXIyVE9rSWx2S25aM05ycUZ5ejBRQzBpS3U2dHRoYzg2VVJ1MXlwVU9xX1otbHQtRXFiM2JzMGtaaENEMXRubG5IY280MS02X0NCMnc?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Using&nbsp;Four Seasons Chat, guests can send and receive instant messages with property teams before, throughout and after their stay via nine different communications channels. The performance of complex systems must be analyzed probabilistically, and NLP powered chatbots are no exception. Lack of rigor in evaluation will make it hard to be confident that you’re making forward progress as you extend your system.</p>
</p>
<p>
<p>Visible apps are those the guest will directly interact with, such as a chatbot or price comparison tool. By leveraging natural language understanding and machine learning, ChatBotlr reportedly gets smarter the more it interacts with guests. Early findings show that 2 out of 3 Aloft guests are interacting or making requests with ChatBotlr and the service has a five-second response time. Moreover, AI can unlock creative and innovative potential within hotel employees by exposing them to a wide range of scenarios and problem-solving exercises that they might not encounter in their day-to-day operations. Through simulations, virtual reality, and gamified learning experiences, employees can experiment with different strategies, learn from their mistakes in a risk-free environment, and gain insights into best practices and innovative solutions.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/power-of-chatbots-2.webp" width="306px" alt="chatbots hotel"/></p>
<p>
<p>For example, IoT can adjust room lighting, temperature, and even window shades automatically based on guest preferences that have been learned with the help of AI. The amalgamation of IoT and artificial intelligence in the hospitality industry will help in enhancing the overall comfort without guest intervention. Generative AI in hospitality will significantly advance the sector’s customization by dynamically creating personalized experiences for the guests. Businesses can expect AI systems to adjust room environments, entertainment options, and dining suggestions in real-time based on the customer’s immediate needs and external factors like weather. Hotels should build AI software or chatbots to handle routine tasks and queries, freeing up staff to engage more personally with guests.</p>
</p>
<p>
<p>It’s exciting to consider how AI could fundamentally change hotels, enabling them to combine great service and wonderful experiences with being more attractive to investors. Bringing together dependable but inspiring service with optimized operations will help change hotels from a sector on the periphery to a profitable &#8211; and inspiring &#8211; industry. The guest is happy, but you have added a level of complication for the kitchen, for your supply chain, multiplying the number of problems that you had before. The hotel brand is the latest to adopt AI-assisted technology in a bid to personalize the guest experience. Al is a game changer for search; that much is already certain.</p>
</p>
<p>
<ul>
<li>For AI to be effective in this manner, it must draw on vast stores of data sourced from all hotel departments.</li>
<li>AI-powered workforce management tools are helping hotels optimize their staffing levels based on predicted occupancy and service demands.</li>
<li>Businesses can expect AI systems to adjust room environments, entertainment options, and dining suggestions in real-time based on the customer’s immediate needs and external factors like weather.</li>
<li>In that vein, we also have a brand called the Ritz Carlton Reserve, with seven open hotels in exotic, far flung places.</li>
</ul>
<p>
<p>Moreover, users can now extend their conversations initiated by others. When a Bard chat is shared via a public link, recipients can continue the discussion, seek additional information, or use it as a starting point for their own inquiries. But what this really means is that Bard, being a Google baby, has the ability to tap into all your connected services under Google’s roof.</p>
</p>
<p>
<p>A luxury resort chain reported a 23% increase in ancillary revenue after implementing an AI-powered upselling system that suggested tailored experiences to guests based on their profiles and past behaviors. In addition to targeting business and leisure travelers, the company also offers Mezi for Business subscription, which features a marketed to travel agencies and travel management companies. With its Travel Dashboard, Mezi claims that a traveler working with a partnering agency can message the chatbot to find booking options. After an agency directs a client to its Mezi site, the chatbot can ask the user questions to get hotel, flight and destination preferences.</p>
</p>
<p>
<p>You can foun additiona information about <a href="https://techunwrapped.com/metadialog-ai-how-to-use-ai-to-deliver-better-customer-service/">ai customer service</a> and artificial intelligence and NLP. The goal is to ease the burden placed on this hospitality industry. According to Business Insider, in November 2021, of the 4.5 million Americans that participated in the great resignation, 1 million of those belonged to the restaurant and hotel industry. AI-based customer services such as chatbots have developed and become more prevalent. A panel of industry leaders in the customer experience space explored just how much. AI-powered apps will be able to analyze online behavior and booking history to create personalized marketing messages that are more likely to convert past guests into repeat customers. The integration of Internet of Things (IoT) technology will enable a network of devices to communicate and operate together, making hotel rooms smarter.</p>
</p>
<p>
<p>While it’s easier to click a button than to type a word, specifying something unique is often much simpler with free text than navigating through a list of fixed options that might not match exactly. Compared to Europe and the United States, Asia is much more diverse across its different regions and countries. Customers in Japan versus India, for example, have very different needs when it comes to payment options, languages and even the types of accommodations they offer. Ryokan inns in Japan are not like any other hospitality option. We worked with all departments to map their problems to possible Al solutions and then prioritized them based on cost, confidence and impact. Interestingly, the most valuable use cases for GenAl often aren’t the ones you initially think of when you see online demos.</p>
</p>
<p>
<p>This personalisation can lead to higher conversion rates by making potential guests feel understood and valued. HiJiffy streamlines the hotel booking process with a focus on speed and simplicity, aiming to minimise the steps and time required for guests to make a reservation. This streamlined process can significantly reduce booking abandonment rates, making it a strong choice for hotels looking to capture more direct <a href="https://chat.openai.com/">ChatGPT</a> bookings efficiently. SiteMinder’s booking engine maximises direct bookings with its seamless interface and comprehensive analytics, helping hotel owners enhance operational efficiency and guest satisfaction. Unlike humans, robots are able to work 24 hours a day, which means providing service overnight when staffing is reduced, or in some cases when no concierge staff is available as the front desk is closed.</p>
</p>
<p>
<h2>Divi booking plugin</h2>
</p>
<p>
<p>Imagine a world where AI-powered virtual assistants handle hotel bookings and curate personalized experiences for guests. Or where LLMs seamlessly bridge linguistic divides, offering instant translations for travelers. AI&#8217;s prowess in forecasting flight patterns and streamlining itineraries dovetails with LLMs&#8217; capability to help tourism agencies craft content that resonates across cultures. Together, they promise not just enhanced experiences for travelers but also streamlined operations for businesses in the travel sector. Whether it’s a hotel, restaurant, or place of entertainment, a person will be there accompanying you every step of the way—that’s what we’ve come to expect in customer service. But, just because we’ve become accustomed to it, does that mean it’s the best possible experience?</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="303px" alt="chatbots hotel"/></p>
<p>
<p>It makes up by far the majority of the Priceline Group’s revenue, and serves 895,000 hotels and accommodations in 224 countries. It’s baked into your smartphone, your desktop and laptop, your virtual assistant, your smartwatch, and so much more. It’s also found in digital marketing, in business software, and everywhere else.</p>
</p>
<p>
<p>Booking.com plans to develop text translation in the future. Existing text translation services, such as the one offered by Google or IBM Watson, aren’t perfect, though, so Booking.com is developing its own technology in-house. Booking.com’s messaging service is a part of this trend, and is sure to be one of the most ambitious attempts in the travel vertical. Booking.com is owned by Priceline Group, the largest travel company in the world. Booking has said it has more than 30 million unique visitors a month.</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="303px" alt="chatbots hotel"/></p>
<p>
<p>Imagine walking into your next hotel room to find everything exactly the way you like it, from the right lighting and your preferred temperature, to your blinds opening automatically in the morning and your favorite tunes cued up for your a.m. These kinds of preprogrammed details, courtesy of AI, are the next wave in pampering visitors. If things are just right, you&#8217;ll come back more, the thinking goes—and the more you visit, the more a hotel will know how to make you happy. LG&#8217;s CLOi robots could soon take care of housekeeping, room service, baggage handling, and concierge services all at once.</p>
</p>
<p>
<div style='border: black dashed 1px;padding: 14px;'>
<h3>AI in Hospitality: 10 Use Cases on How Artificial Intelligence Is Boosting Efficiency and Personalization across Hotels &#8211; Appinventiv</h3>
<p>AI in Hospitality: 10 Use Cases on How Artificial Intelligence Is Boosting Efficiency and Personalization across Hotels.</p>
<p>Posted: Wed, 11 Sep 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiW0FVX3lxTE9lYUR2cW5zWXhMSmxYYTZfR3ptUE5maVRYNjNJUm42cV8tV2ZyeG05U3pUZHRpeUdiTmlVdjl3V0tNemQtQ29DY0JhSlM3ZjU4SlprbkJIMnVMOEk?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>The platform can suggest matches based on skills, experience, and learning preferences, facilitating a collaborative learning environment. Get in touch to equip your hospitality business with software that meets current technological standards and sets new benchmarks for personalized service. The initial costs of artificial intelligence in the hospitality industry, which include purchasing, integrating, and training, can be high, discouraging some hotel businesses from adopting it. These enhancements are made possible through updates to the PaLM 2 model, which employs state-of-the-art reinforcement learning techniques to enhance Bard’s intuitive and imaginative responses.</p>
</p>
<p>
<p>The industry is at a crucial juncture where integrating AI can significantly set them apart. Early adopters of this technology stand to gain a major competitive advantage by improving guest experiences and enhancing their operational effectiveness before AI becomes a standard practice in the industry. Hotels that embrace AI and invest in developing their staff&#8217;s skills will be better positioned to capitalize on the opportunities presented by this technology.</p></p>
]]></content:encoded>
			<wfw:commentRss>http://ksasc.com/?feed=rss2&#038;p=3782</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>&#8216;Megalopolis&#8217;: Lionsgate Fires Marketing Consultant After AI Trailer</title>
		<link>http://ksasc.com/?p=3784</link>
		<comments>http://ksasc.com/?p=3784#comments</comments>
		<pubDate>Mon, 01 Apr 2024 16:45:14 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[AI News]]></category>

		<guid isPermaLink="false">http://ksasc.com/?p=3784</guid>
		<description><![CDATA[How to Buy, Make, and Run Sneaker Bots to Nab Jordans,  ...]]></description>
				<content:encoded><![CDATA[<p>
<h1>How to Buy, Make, and Run Sneaker Bots to Nab Jordans, Dunks, Yeezys</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/4gIoSUNDX1BST0ZJTEUAAQEAAAIYAAAAAAQwAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlkZXNjAAAA8AAAAHRyWFlaAAABZAAAABRnWFlaAAABeAAAABRiWFlaAAABjAAAABRyVFJDAAABoAAAAChnVFJDAAABoAAAAChiVFJDAAABoAAAACh3dHB0AAAByAAAABRjcHJ0AAAB3AAAADxtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAFgAAAAcAHMAUgBHAEIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z3BhcmEAAAAAAAQAAAACZmYAAPKnAAANWQAAE9AAAApbAAAAAAAAAABYWVogAAAAAAAA9tYAAQAAAADTLW1sdWMAAAAAAAAAAQAAAAxlblVTAAAAIAAAABwARwBvAG8AZwBsAGUAIABJAG4AYwAuACAAMgAwADEANv/bAEMAAwICAgICAwICAgMDAwMEBgQEBAQECAYGBQYJCAoKCQgJCQoMDwwKCw4LCQkNEQ0ODxAQERAKDBITEhATDxAQEP/bAEMBAwMDBAMECAQECBALCQsQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEP/AABEIARoBeAMBIgACEQEDEQH/xAAdAAEAAgMBAQEBAAAAAAAAAAAABwgBBgkFAgQD/8QAXhAAAQIFAQQECwIHCAwNBQAAAQACAwQFBhEHCBIhMRMiQVEUFxhVVmGBkpTR0jJxCRUjQlKRszNTYnKClaHTFiQoNzhDVHN1g7G0JSY0NURFV2NkZXaT1KOyweHx/8QAHAEBAAIDAQEBAAAAAAAAAAAAAAQFAwYHAgEI/8QAPREAAQIEAggEBAQFBAMBAAAAAQACAwQFESExBhIWQVFTodETYXGRFyKBwQcUMrFCUuHw8RUzcrIjNFSi/9oADAMBAAIRAxEAPwDlUiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiz7AnsC+2RYRZ9gT2BLIsIs+wJ7AlkWEWfYE9gSyLCLPsCewJZFhFn2BPYEsiwiz7AnsCWRYRZ9gT2BLIsIs+wJ7AlkWEWfYE9gSyLCLPsCewJZFhFn2BPYEsiwiz7AnsCWRYRZ9gT2BLIsIs+wJ7AlkWEWfYE9gSyLCLPsCewJZFhFn2BPYEsiwiz7AnsCWRYRZ9gT2BLIsIs+wJ7AlkWEWfYE9gSyLCLPsCewJZFhFn2BEsisv5Mtl+d6v78P6U8mWy/O9X9+H9KmBF23Zqlckde6/O+2Fa559h2UP+TLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP8Aky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP+TLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/wCTLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP+TLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/AJMtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP+TLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP8Aky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP+TLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/wCTLZfner+/D+lPJlsvzvV/fh/SpgRNmqVyR17pthWuefYdlD/ky2X53q/vw/pTyZbL871f34f0qYETZqlckde6bYVrnn2HZQ/5Mtl+d6v78P6U8mWy/O9X9+H9KmBE2apXJHXum2Fa559h2UP+TLZfner+/D+lFMCJs1SuSOvdNsK1zz7DsiIivVrSIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiYOM9i+XsiIv20ejVa4KjBpFDpc3UZ2YIbCl5WE6JEefU1oJKmSU2b5S25Zk3rDqDIW1MPxu0WnQXVSqEu+y10KBkMJxwySO8jkIU1UZaTwjOseGZ9grCTpU3P4wWfL/McGj1JwUHIrf0PZ90ppNIFarGnFZbIlvSMm73umFRt5v6QgSoMRo9T+KjiuX9s006qTFJhaCydUlYLtwT1OuWotZEOOJYYm64gHIzgAkZGRxVdCrzZl2rLwnO9NXurWPo1ElGh0zGYy/HW+wUDop6lLO0CvunmtUu1NT7Nk98wnT8KVNZpkJw577gzpsjPIE/cvDujZuuiTpj7k0+rVNvuhwxvxY1HeTNyzezppV35RvrwDjjkAKRCrUs93hxLsdl83H1Fx1UaLo/NsZ4sK0Rud23y9CAeiiFF9PY6E4tiNw5pIIPMHuPrXyrYG+IVHayIiL6iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiLctL9Lq9qhXH0+nRYMjTpGH4TVarNHdlqfLji6JEccDkDhvMn1ZI163qBVbprkhbdDljMT9SmGS0tCH5z3EAZ7h2k9gCtHU7y010OokKw5Fv4+lKLGESNJQ8NbcNahuxFjTMTB3ZSXe3cbDAO/EaR/iyTTVafiS4EGWF4rsvIcfXh2Cv6LTIU0TMzZ1YLc/M8O/8AVelWIFG0P0imq7ZsrM0ajT72SUpUIn5Cu3PGcCTEEQgOk5TALgG/lC0HG4SC6vtD1tvy25moz9CjyUhNTsHweDFhS+XSDM5eZfeJ3YjhgOiu3ohwDv54r+usOuN663VKRnrudJwoNMbEbJykpDLIcIRN3fPElzidxoyT2KPB2hQ6dSiyETOgOiONzfH0x3/3uUyrVoPjhtPJbDaLC2H1tuX65+qVOrx3zlWqU3PTERxc6LMx3RXuJ5kucSSfXlfkJYMtyOeMnksqy+yns81DUWmnUqkX9NW7PUareDQRCkGTDYjWsY92d545h+MEYHrU+enYNLgGO/Abh5/RVtOkJisTIgQhdx4kXtvOKspsfVe4ajo/JSdasOBbcvIHoJJ8KH0QqDMZdMGERlpLicuOQ4kkcFJN06bWvdPRzUSXiUyqyx3pSrU1wl5yWcOW7EaOs3vY8OY7k5pHBQLrFtu0zTq8Y1l2nbcC4DTHtg1KddOGEyHFa7ESFDYGkPIGRvbwAfkYOCpVsjaR0iv+DTH0S5mMjVaadIwJaahmDFEwGb+44HgCR9k5wTwBJ4LlE7JTwJnvCLWPNxa599/uu206fppYKcYwe5gAN7DHy3YeWXFQdrvs8S91zpbXmU6lXNNAQ6Vc8tCECRrEbk2Wn4TRiXmHHg2K3LX5xzAhqlNeoFYtisztvXBIRZGpU6KYEzLRRh0N47D+sEHkQQRwK7CVOm0W6KPNUipy0tP06ehvl5iE8B8OKw5a4EfrH3j1Koe0zojUbips23cE5c9ryZnKXPZJjVqiMIESFF75mWc48eO+wtP2nkN2HRrSJ0F4lZk/Ken9OI3Z5LV9L9FmTDDOyo+Yf/q334Hf7KlB4IsnBwRnjxWF0sLkKJj1pz9S2Gy7Au/UKrCh2Zb87VpwDee2Xh9WG0nG89xw1gz2kheIsWHBbrxDYcVlhQXx3CHCaS45AYla8mO9WWo2wBrdUZdsxUaja9LLm5EKNOxYsRp7nBkIt/U4rwL22K9dbMkolRFHp9dl4QLnGjzLor2gD97exjz9zQVVM0gpkSJ4TIwv091cxNGKvCh+K6XcG+n2UELO6T//AFfUSHEhRHQYjHMfDcWPa5uHNIOCCO/PeprsjY+1h1AtWm3lb7aGadVIXTS5jz7mPLckdZoYccQe0qdNT0tJMESO8NByN1XSlOmp95hyzC4jMDGyhFF6Fw0SetquT9vVMQxN02ZiSscQ3bzd9ji12D2jIXnqS1we0OGRUSIx0NxY8WIwTBQjCni2ti3Wm7bbpV10hlCMjWJKDPy/SVAtf0UVge3I3Dg4cOCg+oyExS5+apk3u9NJx3y8TdORvscWnB7eIKiy1QlZxxZLvDi3OxyU2bpk3IsbEmIZaHZEjP0X50xwystYXkNaMk8APWrCymwnr1NykGaEvQYYjQ2xAyJUXNc0EZw4bnAjPEL5N1CVkLfmYgbfjgvsjS5ypX/Kwy62dlXnGEW16m6ZXXpJdUSz7yl4EOoQ4LJgOgRekhRIbxwc1xAzxBB4cwV+jSnSW7tZrkmLWswSJnpaRfUInhcYwmdEyJDYcENPHMVvD717dOQGwPzOsPDte99yxtp8y6Y/J6h8S9rb78LLTEVjPIJ17PJlufzk7+rTyCdfP3q3f5yP9WoG0FM57fdWey1Z/wDmf7KuaKxTtgzXpoLnMt0ADJ/4Sd/VqvEeE6XjPgPxvQ3FjsHIyDgqZKVGUniRLRA62dioE9Spym2/NQnMvlfevhEU0afbJGreptqSd52u2iup0/v9D4ROmHE6ri05buHHEHtXuanZeSaHzLw0HC5WOSp8zUXmHKsLz5KF0VjPIK17/e7c/nI/Qv4zWwhr/LQXxmSVBmC0ZEOFUhvu+7eaB+shQRX6YT/vt9wrPZesDH8s72VeUXuXhZF12BWYlv3jQpqlT8Mb3RR2Y32ZxvscODm+sEheGFaQ4jIrQ9jgQd4xCpIsGJBeYcQWI3FEUi6a7P8AqtqzDE3Z1qxokg5xb4fNOECWyOeHu+1g890HtUtw/wAHrrOZbpIlxWg2PjIheFzJHtd0HD9RVbM1ynyj9SNFAPC/+VbSujtUnYfiwIDi3j/lVfRSlqRs06w6WSsWpXJazo1Og8Yk/IRPCJdjf0nEDeYPW5oUWvO41ziRgZOMqbLzcGaZ4kF4LeIN1XzUjMyUTwphha7gQiKxY2C9eXgOYy3XNPI/jJwz/wDTWfIJ18/erd/nM/1ar9oKZzm+6tBovWDiJZ3sq5orGeQTr3+925/OZ/q1FurejF66LVaRot6iQEzUJczMHwSYMVu4HFvElowchZ5aryM3EEKBFDnHcCo83QqjIwjGmILmtG85YrRURFZKpRAMonYUXxTfoIJOxLQvDW2f3GztLgChW8XAZFQmmkPiMz+dDg77vU0uUQVKozFVm3Tcy7sDGN7GMaMNaPUB+s5JySSpYvthtvZx0zt+Ezo4tdnqncM239N2/wCDwnf+0APae9Q9zCpJEeLEizTsy4gejcP3BP1WwVJ3gQoUm3JrQT/yeNY/YfRZycYzwWEHAJnKs1ULAdu8/wClXn2UNmScp1rRrtv2ZrdOj1trTApcnU5iSHg2Dh0dsJzS5zs8Gu+yO4nhBex1pxTNQtYpd9clWzVNoEs+pxoDxmHFighsJrh3Bzg/Hb0YHEEg9KmsDRgcPuWhaW1l8IiRg4HMn7Lpmguj8OODUpgXGTR+5P2UfUfZ70SocIQZHS63Im6ctfNSDJl4PfvRd4qteq+wTVRUola0gr0N8KPGMQ02oxOjdLuLs5hRmji0Z4BwDhj7TuSuui0+Tq85IxC+G/PccQfVb7PUCn1GEIMWGBbIjAj0VSLe2Z9ovS+u02dsjWz8b01lShTU7JTTo0BkVrogMYuhufEa7eBcXHIcc9+FPOrok4VIp1VhR2Qq3T5x03RgQf7aiQ4MR8eVPYRFlmR2EH+MOs0LfXAOBaQCCMEFRRa9ElJiNdOiN0OiRZSRiw6pRniKWxhTYz9+EWvByHwJhkVgdzDWwu9fYk7FnniNGtduZAAJBzvbgvMKnQKbDMGXvZ/EkgHyvlfjxXPfaAsWUsDVCqU+kkuo9SbDq9Lcf8kmRvtb/JJcz17me1R0p/2mJGJFs+xqhMRunmKPM1u0osXdxvsp066FBJ9Zh7p/WoAXX6LMGZkYb3ZjA/TBcJ0glRJ1GJDaLAm4+uPS62LTyxq3qVedKsegNAnKrHEJsVwJbBZjL4rv4LWgux24x2rqNadpab7PGnEWFLGWpdJpUAzNQn4wAiR3gcYkRwGXPPAAfc1o5BU2/B90iXndX6pUYzGufTqJFfBJ5tc+LDaSP5JcPapZ/CH3FUJKwrctyWiOZK1WovizTRwDxBZlgPf1nZ+8DuWnaRPi1WrQqU11mC1/Ui59hkt80VhQaNRItYc28TG3oDYe5zWp3x+ERqrak+X08sWTMjDeQ2aq0V7nx2jtEKGW7mezLz9w5KT9Bds62tWatAtG56OLdr8zlstiP0srNOAzuteQCx2M4a4HOMAk8FzlOcDKA4ILSQ7vHAhXUfQ+mxIBhw2lruN8b+fFa7Lad1WFMeLFfrN3tIwt5cFZ3bbfotUrrgVqwq/JzF0Oiug1qXkGdJLxQBwiOiN6oitI3SBkkHjgt4212UuOzzZJ/wDLz+0euVmADwXVPZTGdnmye/8AF5/aPVJpTJGnUmDLF5dquzPoVsmhtQ/1OtzE0GBus3IeoXNzWPPjYvDPnqc/auWnHkulNwbDujVz12oXFU5q4mzdSmYk1HEOeY1u+9xc7A6PgMlfgOwBoZ/llz/zhD/q1YS2mdOhQWQy11wAMvL1VXN6A1WNMPitLLFxOZ3n0UsaFY8SVg/+mKYef/hoa5TXmf8AjlX+P/Wk3+2euvtrW9IWja9KtWkmKZGjyMCQlzGdvP6KFDDG7xAGThoycc1yCvPP9mNfOMgVSbz/AO89QNCHiJNTMQZGxH1JVn+IMJ0CRlIbs23HsAFJOydpuzUnWqjSk7A6Wm0d342nWkcHCEQYbD6nRNwEdo3gujV3am0CyrotS06q/dmbsm4snKu3gGscyGXDe/jO3GDvc4KCtgXTUW1p1P6gz8HdnbnmN2AT+bJweq3H8Z5iE94DO5V/2utW56v7QXhFFmN2XseLBlJFzXc5mE8RYsT1HpOp90IFYahBOktadLt/RDaR9f8ANvoFnpkw3ROgsmnj54rgT6HsB7lTR+EH05fP21RdTqfLb7qRG/F9Q3eyBFP5J59QidX/AFoVXNAdaZjQa9Jy8Ze3GVp01S4tMMs+bMuGh8aFE398Mfn9xxjH52c8MHpDOQKPrvom6FDdDdJ3dRGvhuPKG+JDDm57ix+MjmC3vC5O1SnTtGqU5RqlLugTchMRJaYhPGHQ4rHFrmn1gghWGij4dQkIlMmxfUwt5H+qq9M4cSnVGDV5M21xcHzAz4ZFXi0929qlfF9W/Zj9LpaTbWqhAkXTArLohhCI4N3g3oBvYznGR96sZrHqHG0q01rWoEKksqb6TDhPEo6YMERN+KyH9vddjG/n7JzjHblcxtAP7+Fh/wCn5L9qF0K2vwfJyvMnsgSv+9wVS1+kScnU5eXgMsx9ri/F1lsGjNbn6hSJmZmIl3svY2GFm33AKAH/AIR+pxIbmHR+V6wx/wA/O/8AjqnU1HMzNRpksDeliOfujsyc4/pX8uGM96LodPpMnTSXSrNXWzxJ/crllTrc7V9UTb9bVvbAC1/QBBzXUHY2x5PFsdvCY/bPXL4cwuoGxsf7ni2M90x+2etc06xkWf8AL7Fbb+G9v9Rif8PuFEWpW3ddNiagV+zpXT6lzcGjT8WTZGiT0RrogY7AcQG8Ce5e3ojtwRNTb9p9iXPZEKlOq7nQpSblJx0VgihpcGPa5o4EAjeBPHAxg5GwXpsL6ZXzdtWvCq3ZdsGbrE3Em40KWjyohMc85IaHQHHH3kn1r19KtjvSvSa6oN40ubrdYqUoHeCPqkeE9ks4gtL2NhQ2AuwSMuzjPDB4rV4szo8ZItZDPi6ueP6vfj5LboEtpQJ8OfEHg62WH6fa+XmvH26rMotc0Wj3RMSsIVOgTUvFlZjGHhkWK2HEh55lrg7OP0mtPYqr7JehEDWW+o03XpeI62rfDI8+N4tExFcT0UuDz47rnOxya3HDeCkzbq1nuGoxoWkUK2KnSKayM2cmZmchBoqG4fyYglpLTCBO8TnO8G5AwQZY2B6VLSeh76hChtEWoVeaixnAcXFm6xv9DQrKXmJmkaOF97F5+XyB/wAFVczKylc0qEO12w2/NuuR+4yUi6tawWBs82jJx6lKiGHNMtSqTJMax0UMAy1jeDWMaC3J5DI5kgKrMb8Ite5q3SS+nVEZTA7/AJO+bjOjEf50YaD/AKsrRdt245+t6+VOnTUZ5l6LKS0lKsJOGNMMRHHHeXRHce4DuUBEkcO71Kyomi0jFk2x5tus94v6eSp9I9MahBn3y8k/UYw2FgMbfQrqhodtCWXr9SZplPlXyNTlGAT9Jmi17msdw3mkcIjDyzgdxAVQNs3Z9kNLa9LXnaNPEtbdwRHwYkCGOpJzmC7caOxr2hzmjkC1w4DAWibLFyVC19e7RmZCK9jZ+dFOmGB2BFgx+oQ4doBLXY72A9ivRtkUiWquz3crplgc6S6Ccgk82vZFbjHsJH3EqqdA2brcOFAJ8OJbDyJsrqHMDSzR+JGmGjxYV7HiQL9cioKb+EfqkNoa3R+VOB5+d/8AHVqdFtSJjVnTelX7GpDaW+piKfBWxzGDNyI5n2y1uc7ueQ5rkZjGOOV1E2NwTs7Wof4Mz/vMRZdLKJI02TbFlmari62ZO4+a8aE6QVCqzroM3E1mht8gMbjgFFepO3jUtP79r1lQ9MJeebRZ6JJiZNadDMUNP2tzoDu/dkqsm0HrzMa93BS69M2tCohpsmZQQ2Tpmeky8v3smGzHPGMFfh2jMePa+s+epj/ao4WzUSiyMtChTcJnzloN7neBffZadpDX6hNRo0lGiXhhxwsNzsMQEREWyLVETgOJROJ4Ac+a+IrHX5p9d+pNk6Q0ux6NEqc1JWRHnYsKG9rTuQ4zQ/G8QC7ecAGjiSfUq+RoMWWjxJWYhRIUaE90N7HtLXNcDgtcDxBByCDxyrn7LF4E2/pdO75DJWoVmy58ngB07PDpUkeswujB7yR2qRNpfZls+/rZrl6WtbnR3pDg+Esjy0R4M6WDjDfDzuOc5owHY3shvHsWhy+kBps0ZKZHyFxseBLjn5Lpk1owatJioyrrvsMDvGqLW81zpWOWSvuLCiwI0SXmIT4UaC4siQ3tLXscObS0jII9fFfB5LdcDiMlzsgtNnYHgrFbE+qtB0/1FmaBcXQy0tdMKHKQp5+AIMw1xMNrj2NeXFuf0t32dE8jsII9S4xNyOIOCrMae7deoFn2zDt6vUCSuKNJwmwpWejzDoUUsAw0Rd0HpCOW9wJxxJPE6PpJo5GnYwmpQXccCP2Psuj6I6Wy9NgGSnTZoxBtfPd7roMi5v1vbg16qdQbN02q0uky7HZ8Fl6fDiMcP0XOi7zj7C1Xw0gvGp6gaZ27eVZp7ZKdq0iyYjQmZ3d48N9ueIa7G8B3OC1GpUOapcNsWPazsMDdb5SNJJKtRXwZa9244i39/Vbgoz1fptx0mJA1JsOgtqlx0ynzVMbCfMsgwxLx913TRC8gFsJ8Nry3mQXY48FJigfbA1gl9NdL5uhyUYGu3RCiSEoxrutBguGI0Y9vBhIH8Jze4qHT4USPMshwxck2t5b7+Vs1Oq0aFLyUSNFNg0Xv57refBU6vqdnZ/ZrtKeq0wZibnbvrUyYzjkxCWQ99+e3L8knvKhc4JyOSmbW2UdaumOk9gRTialqNMV2aYeDobp+N0jWuHeGtDf5KhnOeS7JRrGXLxkXOI9NYrgNfeTNhpzDWg+uqFPuxJe0naGuEnJz8VsKBcEpFpbXuOB0ri18Me1zA0esjvVsdsnSOr6qaXCYtuUdNVi3Y5n5eWaetHhYIisb3u3esB2luBxIXNOHFiwojI0GK6HEhuD2PY7dcxwOQQewg8c96vxs97a9t1+my1q6tVBlJrUBohQ6nEGJadHAAvP+Lid+eqeYPHdGs6TU6agzjKvJN1i3MDy8vTBbdolVZOPIPok+7VDr2J8/P1yVCI8KLLxHQI7XMiQ3Fj2PBa5jgcEEHiDnvW16YaX3Zq3dUC07SlA+YigvizEQEQJaGBxfFcAd1vZyySQACThdM63o7oNq29lx1O0LfrcSLhwn5Vwa+KOzeiwXAvH3kr7m61oZoBQYsuI9u2pJw29I6Vl2sZGjEDnuN/KRHevBKxxNNnxYfhy8E+KcONj+59gs0H8PmQYojTUw3wBjwJH7D3K5nai6P6j6UT7pG+bZmJBheWQptuIktMdxhxW9U5xnBw4doC6QbKQ/uebJ4/8AQD+0eqL7TO0dPa6V2BK06FMSFr0mI50jKxMB8Z5GDHigEjexwaMndBPa4q6uy9c9uSGgNmSk5XqbAjQpAh8OLNw2vaekfwIJysOlDpuPSoDptoEQuxA9N6y6HNkZatTDZFxMMMwJ34j+wqRaq606vU3Uy6afT9TrplpaWq81CgwYVWjtZDY2K4BoAdgADgtV8e2tX/azd388R/qX5NXosGPqndsaBEbEhxKzNua9pBDgYruII7FqK3CTp0o6Xhkwm/pG4cFos/U5xs3Fa2M6wc7eeK686NT8/VtHbJqlUnI03OTluU6PMR4zy+JFiPloZc9zjxc4kkknmSuWsW2aleerczaNGZmdrFfjScEkZa1z5hw3nfwWglx9QK6XaIXXbEtovYctHuGmwosK2aYx8N83DDmuErDBBGeByqo7Ilr0Woa73Vf9cqEjLyVvTU02UfMTDGdLMx4sRrXMzwIbDDySOW+zvWhUGZNN/PR7WIGA87kD7LpekUoKsKfL3vf9R8rAm/sVeW1rYkLRtWm2pR2mHLUyThycE8M4Y0N3j6zjJ9ZVaJ/8HxZtUn5ipz2o1fizM3FfHjPMCD1nuOXHl3lelti7QlS09tei07TS7JeBWqrNve+YlDBmHQpeE3rAhwc0Zc9g4jPA4VTfK42jyeOqc78BJ/1K80Oj1eNCM3KxQzXO/M2+h3rJpDXqHAjNkZyEYmoBa2Qv9Riui+jel0DR6yYFiyVem6rJysaNFl3zTGtdCbEdvlgDeGN4ud/KKottzadiz9YTckpAEOSuuX8NBA6vhDMMjD7/ALDj635717mzrtZaoTmrVGpOpV8vqdAqhfIxRMS8vCbAivGYUXehsaR1w1pycYe49gU7bZlFtXULRuam6fW6XMVW3YzanKdHNQ3RHMALYrBg5ILHE472N7l6koM3QK0z80b+JmRl830GRWOoRpLSagP/ACbdXwv0g5jV3ZncqQbP/HXCw/8AT8l+1C6G7X/+Djef+Ylf96grnfoLGgSmtVjTExFbDhQ67Jue97g1rR0jeJJ5K/e1pc1v1DZ5vCUka9TpiNEgy25DhTTHvdiagk4AOTwBVhpQ0uq8qQP5f+6rNDojW0GdDjb9X/RcyBy+4rKcieCLoI4rlpzIQc11A2NsHZ4tcHumO3/vnrl/y7V0v2Qbkt6n6A23KT1dp0vGhiY3ocWaYx7fyz8ZBOQtM04aTIst/MF0L8OXBtQiax/h+4VSNctadXaLrFeFJo+pVxyUlK1ePCgS8GoRGQ4bA7g1oBwB6gv16BbRmtULVS3aROXnVa9JVeoQZKakZ+L4QIkOId0lhd1mOaDvZaR9njkZCupVtNNmmvVKZrNatmx52enYro0xMRxAfEivPNziTxJX6rdtjZ40+mn122qXY9EmWsLTOQPBoURrTzAicwPaqB1dkDJ/l/yt3atrkDO1r8fNbHD0cqMOeEz+dAZrXsCcr3tibZYLXNsKy6Ldmhden6jLQ3TlBhCpSMfHXhPY4bwB7nNJaR6/UFG/4Pa+pGdsat6fRYwE/R50z0KG48Xy0YDrAduHtcDjlvN7wvF2xdp+1KvacxpZp9VINVjVJzW1Sel3b0GDBa4O6NjuT3OIGSOAGe08KmaZ6jXJpVeMjedrR2tmpMkPhRMmHMQj9uE8drXAewgHsCm0uhzM7Q3wIgs4u1mX/vf91BrGkMrI6RQ5mCdZobqvI8zx4j7Kxu3rpBVqfeELVulysSNSqpAhy9SewF3g0xDG6xzu5r2BoB72HPMKpTsnrZXUHS/ad0f1gosOUnarI0qpzEMQ5yjVWIxp3jzawu6kVpPIjie0A8F6z9mTZ4m58V52l9AdEJ38MYWyx9fQh3REfyV5p+k0WjQRIz8FwLMB5j6/uF6qeiEGvzBqFNjts/E/fL72VOdiXR2sXjqZJ6hzsq+HQLYc+O2O5p3ZmbwWw4bD27pJeSOW6B28LE7dt9yNuaNPtfwhn4wuachS0KD+cYMMiJFfj9EANbnve1bpf20DotorQ3yZrFOMaSh9HK0WkbjohcBwhhjOrDH8bdAC516yavXJrPeUa7K+GwGNb0ElJwyTDlYAJIYCeZ45LsDJ7BwA9SMCb0iqjajHZqQ2WI+mQ8/VeajMyei1HdS5eIHxYl7keeBPlhktE7T966i7G3+Drav3TP8AvERcul0w2Qrmt+n7P1ryc9X6dLRmNmS6HFmmNcP7YiYyCc9ys9OGudIMsP4h+xVT+HTmtqTy42Gof3CortG/39r6/wBNTH/3KOVIW0LMQJvXC95iVjQ40J9ZjuZEY4Oa4E8wRzUe8FstL/8ASgg/yj9gtQrJBqEYj+d373RERT1WoiIiDNTxss3VmoVrS+PNQ5eNcbIM9Qo0RwDYVZk3iNLDJ5b+6W59QH5y6G2HeNNvu15O46fvM6behTUu9uIkrMw3FkaBEH5r2Pa5pHq4cFyCp9QnaXPS9Sp8zEl5qViNjQIsM4dDe05a4HvBCu9pTrtNzNNi6tUKQbNS+ITdQ6DLg9LLRg0MbV5Vg4ljms/KM4/ZPMguXPNLaO98T8zCGDre+XX9/VdS0HrzYUP8pFOIv7Z4cbXP0Pkp/wBS9DNMtV5aILvtiVizYh9HDqMICFNwh6oo4kfwTkepcxdRrSbYd+V6zmTpnGUeeiyjI5ABiNaeBIHDOCM+vK620Wt0m4qVJ12g1GBPSE/BZMS0xBcHMiw3AEOB7sFcpdbqVBousF402XqHhsOHWJlzY3Sb5O88u3S7tLd7dP3KNoZGjGLEgvcdUDI7sVJ/EKWlmwIUxCaNYnMb8L/VaSiIuiZO1iuWbrJyOcZxxXTTY/uSr3LoLb8SrwQ38WtfTJZ4GBEl4B3IZ9jQG/yVzK3IsVzYUBhfEcQ1jQMlzjyH612Bse06ZYVn0ezaQzdlaTJw5ZhPN5aOs938Jxy4+slaRptGY2BCgkXcTceQGa6L+HUCI6ajRmn5QAD53y9l7UaNDl4L5iM4Nhw2l7nHkABklc1Zydq+1JtDvm5+O/8AEojOiRHuOYNPosu4ucSeQy3P3viqbtp7apmHzU9ovpPAjTVWnIopc7PwRvnfidQy8sG5Loji7c3uwkhvHiIX1Bl37OmnztKJSK5t7XdLQ5u5ppgwJSROejkYLu3ewS9wJz1h2jFfQJCLKNL3C0WKLMG8N/icfLhxyVppTVIM88Q2OvBgm7yMi7+Fg4m978FHGtN/nUzUqtXVCb0cjEjeC02EOUKShDcgt9WWt3iP0nOWkJgDki6TAgtloTYLcmgBckmZh81GdHiZuJPuichk8k7Mq2VuWzpZaOz5ZN91PQiJe9VrkaPAmjLxozIjN2JEw92413Y0N5BRKhUW04NJaXFzrC1uBO+wU6lUt1Tc9rXhoYLkm/G2FgTvVT4T3wXF8u90J2MEscQV8YbvFzRl3M8Vca49lay7wv8AsJ1t02ds+lXHR4tbrtJjRCY8hBgiHvBu9ktc4xWwzngDl2OBB1ml3rsn3LeEDTUaITEjSp2aFOlq+2pP8KL3P3GRTDxwBJBzvEgEZHMKsbXZeM3xIEFziBd1gPlxIxxxyOAureJo1NQXak1Ga0E2bcn5jYHAWwzGdlWHHWwOxYcOPHBVrK3s/Whb+murNrvpsKcumwJqDUJSqcWxotMigRIZcAd3IayMDgc2H1Ly9R9C7bpuz/ZdVtumQzeJiU91XEIu6WIJ9ruga4E4b1txo4cx61kZpDJxHNYRm4AZb261/TH3Xh2i0/CBfcXDdY53wOqR63F/RVnOBwwB9yYPcr0U/RfRN2vETS+WsWSqMO3LPE1UYYiRA6ZqDnsI3utwd0e6f9byUYao0SkQbNm+j2QahZLnR5Rn48jT0WIyWDpmECC0sA64Jh8+b1ig6SQY8QQ4cM4gHNowOWBIOXC6yTGiceXhuiviDAkYBxxGeIaQMeJVZtzBwGjPqCEDHHB+9XlvOydF7U1Oo+mUrswTdXgVSFKdJWJKPMbsDpnbriQGlvUxvHrjh3LxrI0D05od/a0UKJY5veFactTZqi018d4jl0Zkw90APbxJJa1uSCcAZ45WMaTS3h+IYbhgCP043IHE2xO+yzO0QmvFENsUHEtP6hYgE7xjgN11TPgADgY/oTsz2Kzt3W5b87W7KpE5ssTtgy1TuqmScxPTM5EiMmYMSO1r4GCxuN5pPHPYvav6qbLVq6qVHSS4NDXycCUmoMm6syVTiF7DFhseInR8CAOk/SPLkeSkNrzTqiHAcSQTYFpsBgTgbfdRTo2/5jEjNFiBch4uTiBi3rkqjkDhvAceWVloycBuOzgpC150qfo5qTP2dDnzPSRhw52QmHNw98tEyWB/ZvNw5pI4EtzgZwLE0XTuyKNo7p5cVP2Zo+odQuCluj1KYlJqLCMCI3cw54aHZL992OX2Cs03WpeBBhR9XWETLIbr43IssElo/MzUeNLFwaYeeZ32wABJVNeRwF8gN44DeHcre3ZZuztYusls29ctpwafTrxosNtVpcxNFz7cnYhHRP6RrsNyXOa4EkDcD+S8Wa0FtjZ9te8by1hpUvXonhLqTaMhEjYE685c2aeGEENxjI7N1/DrNWBmkMvEDTqHWdbVFsXXNsPQ5+WKku0Xm4RdaI3VaTrkHBuF8R5jLDPBVdweHDmhBHMKRdnq3KJeWtdq23cdOhztMqM5EZMyziQ2I3oYjgDjBxkDt7FK9saPaYUKY1T1Z1Hp0xM2nZ1z1Cj0qiyrywTERs26GxjnZ3t1odDaBkdpOQFLm6xCk4vgvaS6wItvJNgPW6gSNBjz0ER2OAbcgk4WDQCSfLFVj5cTw7UwORwePIqbr3vrZwvexqgaTphOWRdUo5hpokJnwqXmQSQRFJDQABz6uQSME8QpN2fNHdIXadW9N6s0OHOVfUeqTElQ3viOaZeEyC7dLcEYJcxxBOeL4Y+/FMVpkvA8aPCc03tq2BOV752Iss0tQHzUz4EtFa4autrAkDO1jhcG+CqGWtAzut4+pA0EcGAj7luUHTKvv1VZpM2E+JUzWBSODTz6TdMQ45NDcvJ7ACexT7tB6TaVx9Pq9WdHqJDlZ3Titw6VXnMe5xmoToTGui4JP2Izt08vsRTyAWSPVpaXjQoNr+JbG2ABIAJ9SbBY5aiTkzAjRwbeHfA5kgXIHoBcqqPsThngFNV4WLalO2U7Dv6TpEKFXqtX5uUm5wF2/FgsdNbrSM4wOjZ2fmqFSMKbKTbZxrnMGTi32NlXz0i6Qc1kQ4uaHD0IuhweBGR3di+xGiNhmCx72wjxMMOO6V8IpJY12YBUVsRzP0mycGjDTwKIi+hoGS8lxJuVkHjyC+SBkHdHsWUXwtDswjSWm7U580RF6XwkkoiIiIiIiIvfse+bm05uKWuq06g6TnpclpJG9DjQz9qFEbycx2MFv+wgFeAnHvWOLCZGaWRBcHNZIMZ8B4iQzYjEHf8ARXl0I1rpNWnYkTTN0nTZyazGqNhT0y2DAixzxdHpUw7DWOJzmC47pznqfaNf9oyyZanX3UbrtqTnINLrEw6amZCbgmFO0yaeSYsONBPWDC7LmRRmG8E7rjhQ5DiPhRGxYTi17DvNc1xBB7wR2qWbX2mNQKRTmW/dcCmXvRWN3GSVxSwmXQ29oZGP5QdgwS4DHABaw2ixabMmaksQc2k2NvXG/qbHitvfpBBq0mJOo3aRiHAXAPphbzAwO4BRWSAsqW4967NFfcY9b0juigTETrRH0CttjMLvVDmQWtHqBAX8hO7JrOt+LtXHn9AvpjR728f9ishPvb+uA+/oD+xsqo0yG7/bmGH1JHQhabprVraoF/0Gu3fBmI1Ip09Dm5qHLww97xDO80AEgHLg3mVaW9NoDVzaKZEsvQ21Z+iUR/VqFdmonQkQ+0Pj/YgtxxIaXPdyGOIMKwNVNCLVLY9m6DNqc4z7E1dFUfNt9RMu0CFn2e1avf2uepGo0IUytVsSdHZkQ6PTIYlJGG3u6Jn2/veXHiVXzNPfUphsUwbFuAL92++q0m/1KtJWowqRLPlmx9YONyGCxOFrF7gLD0Cvrs77LlqaOwWXJUZqFXromGEuqBGYUuHDi2AOzOeLz1jnsHBR1+ED0zdVLXpOqNPli6NRYgkKg9o4iWiu/JuPqbEIH+s+9VU032gtWtLI7Dal3TfgTXdanzjvCJWIO7o3HqZ72FrvWrJ0fbfsjUa2Z+wtZbVi0qBWZOJJx56RBmJZge0jedD/AHRuDg9UP44+9UEWk1em1FtQJ8UA42ztwt6bhdbNL1yh1SmOplvBJGF8tbcdbf8AVUpP9PasL9FRl4cnPzMpBmoUzDgRnwmx4RyyK1riA5p7QQMg9xX510ZpDgCFyhzS0lp3IrMR9oicsnZzsS2NNL78AuWRmJhtUl4EEOeyC58Rzd4vYW8y08D2qs+OGUwABhQp2Qg1DUEbJpvbccLY+6sKfU49N8TwDYvGrcZjEHD2UzaW7SN2W1q7LajX/U524oUxKxKXURGdvRPBIhBIhN4NaWva12AADgjtyN0pNm7Klt3ZL6oN1viT9ElJsVOVoDKdE8Pc9rt9kF2QDgOwMloyBxI+0qy5IWeff+tRY9GhxHa8F5h3GqQ2wBG70zzCmy1fiwmaswwRbO1gXXJBwxzF8hmrOae7Q9uXDtBXTdWoTxTbSvSlx6PNy8YueyHLhgEIP3ASXYa4Ejl0ruxbRY2v2mM5r/fc/d9Yl4Vn1UU99NjvhxOj6WnRWOlXAAZbxDncuPaqdYb2BOOeCix9GZONfEi7Q3Dda1iPPBS5fS2dgNbgDZxdjv1r4HyxJAVpNF9a7QbtEX9qDeF0QqPI3BLTcGTnIrHnAMRghABoyCIbBjlyXjakzVvttKZiS+1rP3o5kxKvFEiy0y1ky0TEMkkvcR1BmJy/MVdRjBzlYGRkBZTQoPjiMx5Fg0WsMm4DEgkYcCsY0ljmWMu9gOLje5H6jc4A2P1CvJVtr+j07XeRlJO9fxhpzPUiHIznQwnNEpMuBzHa4MEXeaQ0HjjDicZAI0XRW87As2razUOqa1mWFzwpODRrne2NEmI5HhRMY7rQ7pGdKze+yMnhwVVs45H/APSxy5Hgo40YlGw3Q2OIuGg2tjqm4OWfFSTpfOviiNEaHEFxAN8A5tiB5bwrI3HVbXpNfsmtRdqCbvuBTrppk3MSUxLTDWy0FkdrnzGXuIO60HkM8VsGoMjsuXPqtUdXLg1zfOyk1NwZx9Dp9IjmLFMKHDaIQi4PB3RjJ3RwJ4t5qp5PcT+tOHZn9azGgC4cIrgQCMA0XBOIyWA6SkgtdAaRcEXLjYgYHE9MlIWvOq51l1Hn7yZTzJSfRQpSQli4F8OWhjgXdm8SXOPdvY44yp+kr8sO4dHtOLektpGLYVRt2lvgVCWlZeZc6M9+5gP3N0dTcd3/AGzy7afHjwWTjsWeZosCYgwoLHaoh5YA7rY3BUeS0gmJWPGmHNDnRc8SN98LEKc9qa/7CvactCmWjXIlyTlvUkyVWuKLLGC6qRT0YaSHAOO7uRDk5/dCATjK+9pXUe3L6tfTCQoFxipzFFoHQVNgL8wZncggh28Bk9V3EZ5c1BB7k/8AyvUCjwZcQbOJ8K/Xj9rWXiZrseZ8cuaAItr23auVvvndSLs83LRbQ1ptS5rkqLJGmU+biRZmYiAlsNpgxGgkAE83Acu1SrbmsWmNZjap6TaiVOYlrTvK6KhVqXW5WC6IJaI6adEhxHMA3t07sN3I9oIA4isuADg8Qme5JykQZ2KY7nEOsLW3EG4IXyQrkaQgNlobQW3JN94cLEHysFOlw6c7N9rW5FpcLWGJc1yVSbgQpKbp8B0KTpkHew+LHyHB4wcloO/1QGgZcTKGoO0noHSq1b1Bo2nBu2RseDLsoVUZPRJcQXtENxLGkA7wdDZlxHEtVO+fBASOAPqWB9CZHLTMxXPtffbOw3WthgpTNJHyzXNlITGXtuvlf+a98cVduDqds7yuskbaMh3bJeGRra3zRhCimYFV6PccAdzd3jCxDznGd49vDx9Pdo7QCrTlw2rVdPf7C6decnMQ6pU3zcSaZEilriC9uCckufh2OeAqeDPYmTjHryow0Xly0h8RxNgAb5WyywNt11JOmE1rgw4bALkkWzJwOJxFxnZWlp8XRS8tnm1tKrp1pkben7drc/OPeJCNM9KwxplrCMAABzIrXg55YGFXq/KJbVu3NNUm0brh3JTIIZ0NRZLugtiktBPUdkjByPYtfwDwwhJParORprpF7nNilzSSbEC1ybnddVVSq4qMNrXQWtc0AawJvYCwGdkREVoqZERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERf2k5WPPTcCSlgTFmIjYUNuM7z3HDR+shfCQMTkvrWlxsF6Nu2hc92xY8G26HN1AykJ0aYdBhksgwwMlz3cmjGeJI5Lz3SM2xkCI6XfuzO90JAz0mDg4x6+Cl2e1GqWm9Br2h9vQpWVlp+eiQKzUBMF/hIENkNpa/GWMy10Rwxk75HAZCsnoTssWtEs+TgXxZLDMktnjVzNBsy+KIrg1kHozvNgOhhrhvYJ384zwbrs7XhTofjTDflJ+UDMjju9ltEho2apEEvKm7wPmJyB4YX91QjHDIIx3oQeSuLtq7Plo2TaNHvuxKTBpcCSispc9KwRhj4bg7oop7S8OG6Sck7wJ4jjrmz9p9ZFx7L+ql0Vy1qZPVmkQakZGdmJdr40sWU9r2FjjxbhxLhjtXqHpFLxZAT7GktLg23Ak2xXiLovNQak6mvcNYNLr7iAL/0VXccM5BTH+3CuNA060L2Y9OaJdGsFpOu667hhiJDp0RrYkKEcBzmhjyGBrA4Bz3BxJ5DsEc60XFsu3tYUC59OrfnLTu4zAg/imBLNZCewY3jEDXdG1mD1XM6xPAt549wK4JmKBCgvLCbB1ha/wC9vNeZnRwykImNHYIgGtqG97etrX8lX8DIzngn6ld/Z20E0wqOjFMZqJRKc+4tQHTZpEeagNdMwoQhOLHQieLcMYYgI4dZveFS+4KJUbYrdRt+tQxBnaVMxZOZb2CJDcWux3jhwPaFnkaxBn40WCwYw+ova4+qi1KhTFNl4MxEyiC9t432PmRivwd2eGUxxxw5ZV8ZTZn0+jaBwrEjUKnQ9SZq3IlchTBgtE42M1weGl+N4N3nNhEdxPcos2JtP7OveoXrAvS1afVxISEJ8Bk9Lti9BE3nglu9yPBQ26SS75eNHaD/AOM29QTYEeSnv0UmocxAlnOF4oJvwIFyD5qsAOVlf2nmMhzsxDhsDWsiva0AcgHHgv4rYWnWAK1h7dVxaiIi9LyiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi+oMWJAjQ48KI6HEhuD2PacOa4HIIPflfKDmlroMMVIem1qyMpq3akjftWFGpU7MwZ38Zl46J8IjpIcRsQ9Xdc8Bhd+aS7OC0hdFqLYFnxJuPf2m10zkd8WM+NFbJVnppKdmGufviIcuGSXOaeIDeHAYXLKNWKnMUyWo0efjRJGSfEiy8BziWQnPxv7oJ6ucAnHbxUl2HtG3lp1plVtM7flJLoKtMOiunI2898KG9obEhtZ9nrBuM+s8M4I1Gv0ScqWo+C/EYau6xOJ/ot20br0lSi+HHZcH5g7+IEDL04FSttRbUFL1Dt+v6W0qTbMQpatQDAqDCAyLAhb7n8i4O3XhjQ4HDgScDHH1NmSIYeyHrLFHEiDVCP5sYqfue5zi8gBxJcSOHFezSr1uyh0adtyj3JUZKl1IPE5JwI7mQo4ewMdvtHPLQGn1KVF0fhiQElLYDWa4332tf3sokDSaK6pOqE0Lktc0W3A3t7XVy9ZLIndrjTGzdQtLZuTm6nSIL5Wep747WOhve1nSMOeDXNcwEA4y1wIzwzEsTYpvij0ugzl1XFSJCoVirQaa2j9KXR3seRl0N7ch7w0RHloGGsaTngcQbbN53ZZk2+dtS46jSY8Vu7EfJzDoW+OPBwB48+3kv2TGpWoE3X4F0TV6VmNV5XeECciTj3RYIc0tcGEnq5BIOOwleIVJqMowy8tGAhgki7bnHGxOWZ9VkjVmlz7xMzcBximwNnWabWGsPMgZZK8mrV9bPllanWlT7oue4KbVtPZeGyQlKdCBlILIjWjETqE8WNYCMjq4WpaqaBQ7l2vLYn2yTJi37ohtrM24AGHE8Fx0zD2Yd+Qz3iKVTCs1iq3DUo9YrlTmJ+emiHRpiYiF8SIQA0ZJ4nAAH3BbJLayaqycOWhS2oVdhtkoPQS4ZOPHRQ8NG63jwGGt4eoKLC0bmJRrXS0b5tVzTe9seFhhjc4qVE0plZ0vbNQfl1mubq2v8uGN+IsMFeGc1X0Gg7SjanMXfcYukblqiW6Ifi1u8/dDCQzP7o/O9vcCe5fWi2nEfT7X7VmjS8uWyVUkZepU3sD4Md8Q4H8WJ0jP5Ge1c84k/ORZ51TizcWJNvimYdGc875il28X555zxz3rbBrRquJw1HxiV/wALdD6ExxOv3zDzkMznlnJx61ji6KxmQzDl4uDmhp1r7iCLW3ZrPA0wgPjeNNQcWvLhq4YEEEG59PVb/WNjrXyW8Nqca1pUS8LpY7neHws7oy4nn3KDFvEbW/V+YhPl4+pdxRIURpY9jp55DmkYIPFaPkHjjHqWy0+HOsB/OOaeGqD1utTqUSnxXB0i1zeOsQcfKyIiKwVWiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiItc8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9ct27m+U3quzfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzTxi2H6Y0f4tnzVKsnvTJ7027m+U3qnw1kOc/p2V1fGLYfpjR/i2fNPGLYfpjR/i2fNUqye9MnvTbub5TeqfDWQ5z+nZXV8Yth+mNH+LZ808Yth+mNH+LZ81SrJ70ye9Nu5vlN6p8NZDnP6dldXxi2H6Y0f4tnzRUqye9E27m+U3qnw1kOc/p2RERaMujoiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiL/9k=" width="300px" alt="marketing bot"/></p>
<p>
<p>The growth of the market for Bot Services in China is projected to expand at a CAGR of around 26.4% from 2022 to 2032. The growth of the market for Bot Services in the USA is projected to expand at a CAGR of around 27.1% from 2022 to 2032. Similarly, recent developments related to companies in Bot Services Market have been tracked by the team at Future Market Insights, which are available in the full report.</p>
</p>
<p>
<p>The app’s AI can generate inventory reports, send low-stock alerts, assist with forecasting, and create and send purchase orders to vendors instantly. Bringing together generative AI, trusted content, and expert insights for a new era of work. Our latest Future of Professionals Report examines how AI technology is transforming professional work, highlighting key findings and recommendations. AI captures a wide variety of technologies that use data to make predictions, inferences, recommendations, rankings, or other decisions. While AI offers substantial potential benefits, the emerging technology also comes with risks, such as providing inaccurate or unintended results and, in some cases, exhibiting patterns of bias and discrimination.</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="307px" alt="marketing bot"/></p>
<p>
<p>Once an investor installs this software onto a platform, they can let it run on its own. While humans remain a big part of the equation, artificial intelligence has taken on an increasingly significant role in trading. The global AI trading market was valued at $18.2 billion in 2023, and it could nearly triple in size by 2033. Combining your social listening tools with the insights your chatbot provides gives you an accurate snapshot of where you currently stand with your customers and the public. Sounds great, but more sales don’t happen automatically or without consequence.</p>
</p>
<p>
<h2>Scope of the Report</h2>
</p>
<p>
<p>AI trading can cut research time and improve accuracy, predict patterns and lower overhead costs. Strategy builders are AI tools that investors can train to follow their own rules. Investors can backtest how their AI strategy builders could perform by having <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> them operate within historical market conditions and simulate their strategies in action by having strategy builders work with virtual capital. This way, investors can fine-tune their strategies before letting strategy builders handle real-world trades.</p>
</p>
<p>
<p>Michael Debolt, chief intelligence officer for Intel 471, said so-called “network access brokers” will scour automated bot shops for high value targets, and then resell them for a bigger profit. Genesis Market has introduced a number of cybercriminal innovations throughout its existence. Layer on your automations one at a time for a seamless transition to having more time to invest in your business—and yourself. ShippingEasy streamlines every step of the process, from shipping to returns. Compare rates and options across carriers and use the app’s automation tools to replace tedious shipping tasks. Tracking and updating inventory across sales channels or multiple stores can lead to syncing issues and unfortunate out-of-stock scenarios.</p>
</p>
<p>
<h2>Audigent and Onetag raise the bar for programmatic combining real-time data and AI-powered curation</h2>
</p>
<p>
<p>The whole experience should be smooth, which requires the communication strategy to be designed very carefully. Onboarding chatbots should never come at the expense of the human touch – this is something that customers value deeply, so should not be sacrificed when adopting chatbots. Instead, they should be used to help humans&nbsp; do their job even more effectively, to further drive satisfaction. The USA is expected to account for the highest market of US$ 6.2 Billion&nbsp;by the end of 2032.</p>
</p>
<p>
<p>It was put through a rigorous testing process including more than 50 Thousand inquiries with the goal of providing automated customer support and digital engagement. Many enterprises prefer chatbots for messaging platforms and customer service bots for the web-based services in an attempt to increase customer interactions. Chatbots enable enterprises to directly interact with customers and provide data pertaining to customer preferences, which can later be used in digital marketing activities.</p>
</p>
<p>
<h2>Geographic Analysis</h2>
</p>
<p>
<p>In stock trading, AI algorithms can process millions of transactions and analyze this historical data to predict stock market behavior based on previous scenarios. Investors can leverage this knowledge to plan accordingly while taking market volatility into account. Grow your online and in-store sales with a conversational AI retail chatbot by Heyday by Hootsuite. Retail bots improve your customer’s shopping experience, while allowing your service team to focus on higher-value interactions. Instead of only offering to connect customers to a human agent for difficult queries, make access easy. Include an, “I want to talk to a person,” button as an option in your chatbot or be sure to list your customer service phone number prominently.</p>
</p>
<p>
<div style='border: grey dashed 1px;padding: 13px;'>
<h3>Why Marketers Are Welcoming Ads in Chatbots &#8211; Adweek</h3>
<p>Why Marketers Are Welcoming Ads in Chatbots.</p>
<p>Posted: Tue, 05 Mar 2024 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMidkFVX3lxTE9SSmZvWldIMHBsa2RvTkFNdFNYdE5relA5VVJVU0lnX1g0dmJTa1hSVVF4YnhreUE5c1lGRkloV1FKOU5rV0hCUm85N29yNTZCbVViOHoyblVJNnFLRG5tbE0zMHZoSmdLZlBubVpGZUtla2t6ZEE?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>For example, Job description of Social Media Manager for real estate company. The sample prompt I used is Write a Google ad text with a title of up to 30 characters and a description of up to 90 characters for SaaS &#8220;physical threat detection software.&#8221; If you are a PPC marketer, you deal a lot with creating ad copy – and having an extra resource to provide you with thought starters could save hundreds of hours a month for you. The example prompt you can use here is Craft a pitch email for selling &#8220;physical threat detection software.&#8221; With ChatGPT, you can get ideas for your company using the prompt S.M.A.R.T. goals for SaaS &#8220;.&#8221; For example, I used the prompt SWOT analysis of &#8220;Washington Post&#8221; , and the results were a very interesting starting point.</p>
</p>
<p>
<h2>thoughts on “FBI Seizes Bot Shop ‘Genesis Market’ Amid Arrests Targeting Operators, Suppliers”</h2>
</p>
<p>
<p>In its marketing, EEB encourages consumers to “Skip the guesswork and start a million-dollar business today” by harnessing the “power of artificial intelligence” and the scheme’s supposed strategies. “My experience in my last company was that in sales and marketing today, anytime you want to do anything, you keep adding more and more apps on top of your sales and marketing stack. As a result, any growth stage <a href="https://chat.openai.com/">ChatGPT</a> company ends up using anywhere between 100 to 150 different sales and marketing apps, which is really unfortunate.. Because from operations and operating point of view, it becomes so complex,” Kohli told YourStory. Retail and eCommerce is the leading sector that leverages chatbot solutions for 24/7 customer support, answering product inquiries, and personalized product recommendations to customers.</p>
</p>
<p>
<p>This content is produced by The Drum Network, a paid-for membership club for CEOs and their agencies who want to share their expertise and grow their business. I hereby consent to the processing of the personal data that I have provided and declare my agreement  with the data protection regulations in the privacy policy on the website. What are the steps that can be automated and handed over to an AI agent so that the consultant can really concentrate on understanding the business, implementing the right change, and changing processes?</p>
</p>
<p>
<h2>Country-wise Analysis</h2>
</p>
<p>
<p>You can foun additiona information about <a href="https://geeksaroundglobe.com/6-ways-metadialog-ai-can-help-companies-automate-and-elevate-their-cx/">ai customer service</a> and artificial intelligence and NLP. The software also gets around &#8220;one pair per customer&#8221; quantity limits placed on each buyer on release day. SEO professionals may need help getting related questions from users to optimize content for a specific keyword. As described in the Trellix blog, a major part of this effort against Genesis Market involves targeting its suppliers, or cybercriminals who are constantly feeding the market with freshly-stolen bot data. The company says Genesis partnered with multiple cybercriminals responsible for selling, distributing and maintaining different strains of infostealer malware, including malware families such as Raccoon Stealer.</p>
</p>
<p>
<p>Audio/voice bot, also known as a voice assistant or voicebot, is a computer program designed to simulate a conversation with human users through spoken language instead of text. Audio/voice bots use speech recognition and NLP techniques to understand user input and provide appropriate responses conversationally. These bots can be accessed through voice-enabled devices, such as smart speakers or virtual assistants on smartphones. Audio/voice bots can perform various tasks, from playing music and setting reminders to providing weather forecasts and answering questions. They can be useful for individuals who prefer hands-free and eyes-free interaction with technology, as well as for businesses looking to improve their customer service or sales through voice-based interactions. Choosing to automate customer care on social media platforms with a smart chatbot, may lead to various new benefits for businesses.</p>
</p>
<p>
<ul>
<li>Automating order tracking notifications is one of the most common uses for retail bots.</li>
<li>The complaint alleges that Bratislav Rozenfeld (also known as Steven Rozenfeld and Steven Rozen) has operated the scheme since 2021, initially as Passive Scaling.</li>
<li>Many retailers’ phone support systems don’t support, or lend themselves easily, to TTY calls, a text-to-speech service used by the Deaf community to make phone calls.</li>
<li>Apollo shared a video on its website demonstrating a simulated conversation between a bot that was acting as an AI investment management system and employees at an imaginary company.</li>
</ul>
<p>
<p>You can use ChatGPT to get these related questions to make your content more helpful. The prompt I used is Generate concise and compelling meta description of up to 200 characters from the provided text. You have a lot of data in your GSC, which now you can copy and paste into ChatGPT to get more insights.</p>
</p>
<p>
<p>As the chatbot continues to learn from user interactions, it can provide more accurate and contextually relevant information, leading to higher customer satisfaction. North America region shares the maximum market as it’s the major hub of startups in the chatbot industry, and the majority of the implementations of chatbots occurred in this region. Asia Pacific region is followed by North America, where it is the major hub of the services industry. Many large enterprises are increasingly adopting the chatbot in their routine customer service activities. Based on the business function, the sales and marketing segment dominates the market, with a revenue share of more than 39.5% in 2022.</p>
</p>
<p>
<p>The cases included in this sweep show that firms have seized on the hype surrounding AI and are using it to lure consumers into bogus schemes, and are also providing AI powered tools that can turbocharge deception. PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. AI-powered programs will streamline workflows, letting you focus on giving instructions and less on manual tasks. Executional experts may work together digitally to prompt outputs, based on the director’s vision. This‘ll open up more possibilities creatively, but it probably won’t be as fun. Today the CMSWire community consists of over 5 million influential customer experience, customer service and&nbsp;digital experience leaders, the majority of whom are based in North America  and employed by medium to large organizations.</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="308px" alt="marketing bot"/></p>
<p>
<p>OpenAI has unveiled o1, a new AI model designed to reason more like humans. Deans, professors and administrators attending the world’s largest business education conference are test-driving an AI-powered tool that’s promising big changes. OpenAI tested the new model and found that it significantly outperforms its previous model GPT-4o on the majority of reasoning-heavy tasks. In fact, in confirmation tests on challenging tasks in physics, chemistry and biology, OpenAI discovered that o1 performs with reasoning comparable to that of PhD students.</p>
</p>
<p>
<div style='border: black solid 1px;padding: 14px;'>
<h3>How Bot-to-Bot Retail Experiences May Impact CPGs &#8211; Consumer Goods Technology</h3>
<p>How Bot-to-Bot Retail Experiences May Impact CPGs.</p>
<p>Posted: Thu, 04 Apr 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMifEFVX3lxTE44WW4tdlMySFBnRC1HQmJWUjRqZ1pjaEtJLXR0Yzk0TkxNY1BxWDRjWjV6bVNzQjNZQ1QtMWphU0Zkd2puR0kydkc4TTNLR1FLX1hQaGZGb3VyaTROandQVEs1cHF3cnlyeXRoZ1M3TWxxMG41cmczRFp5UG4?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Imagine a friendly AI chatbot who can spitball thoughts with you and share references for you to explore. It might not be as effective as a creative partner, but it‘ll be able to get you out of a creative rut now and then. Tools are all the things that an agent can call on to be able to execute any of its tasks.</p>
</p>
<p>
<p>Given that 22% of Americans don’t speak English at home, offering support in multiple languages isn’t a “nice to have,” it’s a must. It can be about the specific interaction to find out how customers view your chatbot (like this example), or you can make it a more general survey about your company. Work in anything from demographic questions to their favorite product of yours. That way, you can incorporate them into your&nbsp;social media marketing strategies for retail brands&nbsp;going forward. Kusmi launched their retail bot in August 2021, where it handled over 8,500 customer chats in 3 months with 94% of those being fully automated. For customers who needed to talk to a human representative, Kusmi was able to lower their response time from 10 hours to 3.5 hours within 30 days.</p>
</p>
<p>
<p>After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the chatbot market. According to IBM, a chatbot is a computer program that uses artificial intelligence (AI) and natural language processing (NLP) to understand customer questions and automate responses, simulating human conversation. The market is projected to grow from $5.4 billion <a href="https://www.metadialog.com/blog/what-is-chatbot-marketing/">marketing bot</a> in 2023 to $15.5 billion in 2028, exhibiting a CAGR of 23.3 % during the forecast period. Real-time analysis is when algorithms analyze data as soon as it is produced to determine market patterns and trends. AI trading tools have the capacity to analyze large amounts of data in real time and generate actionable insights. Investors can then use these instant analyses to execute faster trades and gain an advantage.</p></p>
]]></content:encoded>
			<wfw:commentRss>http://ksasc.com/?feed=rss2&#038;p=3784</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
