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	<title>Generative AI &#8211; Fmarck Sites e Comunicação</title>
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		<title>Understanding RPA Guidance for designing, delivering and sustaining RPA within the NHS NHS Transformation Directorate</title>
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				<pubDate>Wed, 10 May 2023 13:05:08 +0000</pubDate>
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				<description><![CDATA[<p>InfyStrat Technologies Africa PTY Limited Vision is an inherently multi-scale process, which automatically bases local inferences on a whole scene context and links these with world-knowledge and heuristics. For example, we can easily recognise something as a house even if it is largely obscured by trees and we have never seen that particular house before. [...]</p>
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								<content:encoded><![CDATA[<p><h1>InfyStrat Technologies Africa PTY Limited</h1>
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" width="300px" alt="cognitive automation meaning"/></p>
<p><p>Vision is an inherently multi-scale process, which automatically bases local inferences on a whole scene context and links these with world-knowledge and heuristics. For example, we can easily recognise something as a house even if it is largely obscured by trees and we have never seen that particular house before. This is hugely important for oil and gas exploration and production due to the immense geological variability and complexity that  need to be understood when using a primary data source (3D seismic) which gives a non-unique and incomplete view of the subsurface.</p>
</p>
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RZmk8bTDKDguFPJSieWe3PVg99/zTEpZVJbs+QakbcrP559IJW6ZpP1mnVkn6uBjlnGeqPHfv8ZsayJ9lClS6ZByUJ6kuIUAQe+DAHBrdgSfty9ViSzHPlGr2tGttCSd/IWXoo1+yF2VJmg3vbtJclJ1YYbmpaVSy9KKUcJUlQ5gEjI9u+MRaaVp7NTeo67Hfe6JMrMLEw8OfQI9IqHepOMZ61CMbosq9PViRk5ZBU6/MttoA61FQAiZ6ZOS81r5cbbLg4pqUdlGlD/lUMthX4tq90STf8ckR/yk29FHTf8AOY3jm9nAX6ggm3+9VhtR1Oaos47TLHt6jydMl1ltC3ZRLzswBtxrWrc57OzELHn5W79U6VMz1DpjLTxLbsszLJDKyEKPEUcskxgDrLks4qWebKHGiULSepQ2IjMtG/8AaNRv+tX/AHaokfCyOFxbvb9lBDVSz1LGSbZhpyGo0Xpn9TX5afmpZu0LXKGnltpCqU3nAUQPbtHbYsvJSFrXJff5GlajUKa603LsvNhbTKVqGXSjltk+HDHGqajSCZ2cb+bm0lAPOIK1SCeMniIz4xi9rXbWbOnl1GjTCUpeT0T7LieJt1GfqqTy9ux740EJfHYNsdNzv6Ld9U1s+d7y4C/LYnYq517UWr3JSnqZWKVRnC5jo5lqTS281hQJCFDlnkfExkSp9On1j27Vbfo9PdnK0h12Zn5iXS8UlKsBpPEMJAA/7sdD0nauoFt1qu0qhN0KsUVkTT7Uuf4tMNZPEQn9E4B2HXjtiw2vf9St2ReoczIydVo7iytclONcSOI8yk/on/HeMFgkbZjdWnVp/wArfiuhlLpZL5h8rxy16b8rLx3Rdr91+brmqTTZZ9jiLj0pLBlTucY4sbHGNuXOO3TyXZm74oktMModadnG0rQ4kKSoZ5EHYiLrelCtxVuUq9bUl3pOVqTi2H5FxfH0Dqc54Vdadj+HLcRbtNMfOBQMkjE81+2JszTAcmluSrFkjKxnENySNeoPNZFcmoztJr9SpkrZ1sKalJt5hHHS2yeFKyBk9uBHXpRM02bu+tVatUiSmJdFMmZ5cuuXSWmz0zRJQgggYClY7BtHoujUORlLlq0qvT2131MzjyC87T0qWvCyOIntPMmLXpo4Hp66XAkICrdnVAJGAnLjRwB1CK2W0Dhlte2vorzJS6sZeQPAJNrK16iW8Lau+fpsukKlXF+cSpA9HoXBxIA7gCU/1YkCyLdo8ppxUV1Skyr9RqNLnKo0p5lKlstISENlJI2ycqBHURFjnKVM33a1pT0vxOTsvMpoM2ocwjmys93BkZPXiMhkayxVbivpqRKRI0u3XqbJpHINMjhyO4qyfAiMSvL4wzm3fyNvutqeFkU5lto4fL5gn7LDLDo9DZpFWvi5JPz6UpIQzLyijhMxML+qlR/mjYnuzseUd6NWJp1xMtULRoExS84VJJkkt8Kc78Chuk45GKUtKpnRarMsLJckq4zNPYG4bU2lCSf620YJvkkukA4O3h/84nZE2Zzi/kbeGipSTvpIo2w6XFzpuTffr0WcXPKydgXTL1e35GVnKbU5NM7JNTrAebCHMgpIPWkj8RGUyN3NP6b1G7nLStvz2UqSJRsCmN8HApKTuMc/SMY5qesS9Esykvnhmpaj9I6OsBxXog+ASffHOl/7Dq1//Os/2G4i4bZI2ueNb28dVabK6nqXxxmwyk26G1/suyyKqxeeo9KFVoVJbaDMwhTEvJobaXhlxQKkcic437otendsU+uVOo1OuKWKPQ5ZU7NIScF3H1W89QODnwx1x2aNf7RaZ/Qmf/h3IuOniVTdn33TZbeZVIoeSgc1JSpRVj/XXGZP4ZcG6Cw/K1pwJ2xvk1N3nxsAQF5VatziHTLyto241TQr0ZIyCVApz1q5knrPbHn1At+ktU+j3lbcv5tTq4hZVLZyJeYQcLSP93bYf7p7sYXgDlEhXE2qT0ctaTmDwuzM7NTLaTz6PKhnwOQf6wiYxNgc1zNLmx9CqzKiSsilZMdA247jcaLILxtai1q0ZRqi0xpiuUeky1RcQy0lKpuWcThatvrKSpJPb74w3TmSk5tVxGclWZgM0Gbeb6RAUErAThQzyIzsYvl2XLO2jd9rV6RSVrZoEkHG+LAdbPGFJPiPdzi7S1vyNIrFfq9ESTRK7bM5NyJCcBBPCVtdxSTy7COyKgc6OHKdjqPHoui5jJqnO0WLNHeFtD/lWC0ESdA0+ql7y1HlKjVGZ9EohUy30iJVBAJXw8s74ye0e2yXFf8AUblpxkKrSqT0vGFom2JNLTyEjmkKHUY8lqXjXLOmnnqa42tiYSETMs+jiaeSM7KT7TuO09sZJUadbF42lVLtoNHFGqVIU0qclW1Zl3kOKACkD9E7k47sdYict4MpfILi+h6KiyR00AZA6xA1bte2pN1HsIQi845Ta11x3EtNrAoeLHo8/GLbd8nUbgt2epErNBt2Zl1MIW4TwhXUSBsc9exiUPmL1PP/AKgbH/bGvijNWNH68nSqYo7ttSyrhXOBaFlbXSBvjST+czjGArbMcysfSVDAyWzge/ZejwqPFKN7nwBzLDmDr5LT+0NH5ul15u47orKKi/LKC5dptvgbCwkpClZ7M5AGBnBiarJuNq1Lokrick1TKZPpMtoWElXG0tGxPerPsjIfmL1PxgW83t/0tofsVD5i9T/V9v7418Ua0tPQUcRhhIDT3hRVcmLVs4qZmOLxt8psFg0295zNvzIBAdcWsDPIE5xF8uC6UV23LeobUi40qhtvNqWVg9L0ikHYdWODr7YvvzF6n+r7f3tr4ofMXqd12+398a+KLhnpja7xptqqYo64ZgIna76HxXmp980SdoUvb182+5U2ackok5qWe6KYZR/NzyUOwHu7I5TN8UGj0qbpNh2+7Tl1Bvopqemn+lmFNHmhJxhIPXj9uI7jobqckZNAbx2+eNfFEb3dOuWkqalplTJflspcUhxLqEK7AUkhR7hFCqrKGjjMsr9OgPPwXSo6LFqx4hjisdsxFiB4kK80S4mrSrMlcT7zaBT30O8KnOHiAO4z3jaLTqZrXRLnuKauGWk5pxpSG22WmwOjaQlAASFnCTk5OBy4ohytXDVqo4XFtuAFXEJiYUnKef1UHq9nvjEarWqOy6tidqqnVHcnoVHB/pDYf62jx1T7WTSy54GBvQnU/wCF7+h9hqeOAQ1jy69iQNBf8qf6r5W1OnrBp1kztrz7QprgLs4l1CukbRx8CeHAI4QoD2R5bc1FtG6OFNIqzRdUcBlw8LmezBjWWq1qQblluSc+mZQkYCVOFJ4s9SjxJ/zjFZOrumpIErLPScy+lSShShwqO44kqH1T4+8Rij9pKyA/NlIPK1lZxH2Noa0XaS1wFhrcabbr6BWXcLdpXNI3A4wuYRKqUotJVwlWUkcz4/hFtnX/ADyefnEp4Q+6tzg7OI5xGmFB1cv23H35eRrk455qoIMvNJ6ZBBBI9FW478ERMml/lBSt2VZi3bnlZWmTc44llmc6cIlVOE4CVlR9DORuSR3iPT0ftHRzvu85XHrsvD4j7H4nSxWis9g10317vJbLUq9qLN0KVty+KA5U5aQyJKYl3+imJdJ5oCh9ZPcduXYI7Xr7oNDps3TbCt52nu1BBYmJ+be6V8tHmlGBhIPXj9uCOxGh+pjiQpuhMqCgCCJ1ogjt+tHL5i9T/V9v7418UdQmlOucW6X09FxsuJAW4Rv1y6+trrAR7Yv8nczUtZk/aRk1qXOzjU2HgsAJCE4xjGTF/wDmL1P9X2/vjXxQ+YvU/wBX2/vjXxRM6enfu4eqrMoq6IktjdrcbHmFgPMjIzviMimbraesOUs8Sa0uStQVOl8rykgpUMYx/vfhF8+YvU/1fb++NfFA6F6n+r7f3xr4oOqadxBLhp3oyjrY75Y3WItsVZ6LdzMja1UtKqSKpuVn1B+WKVhKpZ8fpgkHblkePaY7rYvlmmUt+2bgpCKvRX1B3oCvgcYdG3G2ocif39u9y+YvU/1fb++NfFD5i9T/AFfb++NfFGhkpXXu4am+/NSsixFhBEbtBbbl33CSV7WXbC3KhZ1pTaamEqQ1N1GZDol8jGUIAAzvzO/PqjDZSrVCRrDVclptxE+295wl7i34wc5PbnrzseXKMy+YvU/1fb++NfFD5i9T/V9v7418UGSUzL2cDfqbrMkGISZRw3ADUANsPHbdcp+9dP7jfNUuWxZhNTcALzsjOllt5Q6yjcAnrI37YtVGuuj27fErc1Ht92XkZY5RJGZLivqFJytWeZ3/AAEXP5i9T/V9v7418UPmL1P5fJ9v7418Uah1K0EB+hFt1s9uIvIdwjcEH6bG477LrfuLSiYmHZh2wqpxurUtRFWVjJOepMWqgVayJeWeYuK1354KdK2X2JwtONJP6JHJQ25kRefmL1P9X2/vjXxQ+YvU/wBX2/vjXxQz0obbP/cVgx4g9wcYf7OvkvLVL2osrQ5u37Kt96ms1LhTOTL8z0rzqEnIQOoDtx2ntzHXIVnTU06WardmTnnjLSEOvSlQKEvKAA4ik5CScZOO2Pd8xep/q+398a+KHzF6n/8AMDf3xr4oF1La2f8AuWSzEC/M6EkdMunpbTyVouy8W67JyNFpFIbplIpgV5vLBZWoqVniWtR3UefvPbFstesIt64qdXHJdT6ZGYQ8ptKgkqAPIExlXzF6ner7f3xr4ofMZqf12+398a+KNxNShmQOFvFQmmrzKJTE647v/VlWeunS+qT79Rm7Fqa3pp1bzhFWIBUpWTgY2GTFjoF0U+hVOuTEpT3fNqnIzMiwyXMqZS4tJTxKI9LATjvi9/MZqd/zA398a+KHzGan+r7f3xr4o1Y6lAtn371M9mIucHcI31/TbfwC8VgaizFkytWlkSPnCagwA2eLh6J5OQlz3Hx2G8eK0rrbttutIdllTBq9OckkkLCeAr5qO2TF6+YvU71fb++NfFD5i9T/APmBv7418UC+ldc5h82+q1bFiLWsAjd8l7fKef8A9Vhs+8pyz5x5TcqxOyU40ZeclH05bfbPUew89/GL2zcOlck+KlK2NUHpps9IiXmZ7jl0q6sjHEodxzHP5i9T8/8A2fb++NfFD5i9T/V9v7418UJH0sjs2ffvSOLEI2ZBCbDa7b28L7LE7iuCo3PVpitVZXSPzJwUj6raRySB1ACLhKXW1L2LP2d5ktS5yfROh8LHCkJSkcPD18ovnzF6n+r7f3xr4ofMZqd/zA398a+KNjLTZA0OGneFGKavDy8Ruud7g3N91j1k3I3aVyytfdlFzKZZLqS2lYSTxtqRzP8ASzHRbdz1G1q23XKWR0gBQtpe6HWz9ZCh1g/tx2Rk40M1P9X2/vjXxRX5i9T/AFfb++NfFB0tMSTmGuh1CNpsQY1rWsdZpuPlPNcFXFpTMTHnz1iVFD61Fxcs1P4lyrOTjbiAz1DbsiwXbdc/d9RROzDLbEvKoEvKyzIw3LtD9ED8SevbqwBkXzF6n+r7f3xr4ofMXqf6vt/fGvijVrqZjswePVSSw4hK3IYiAd7Ntf7LHrtuNFzv0+Zaliz5hTWJApUrPGWyrKgeoHi5Hsi9WtqS/QrSq1qTkj54zPNOIlVFQBllLSUqO/MHY4Hf2x3/ADF6n9dvt/fGvih8xep/q+398a+KMufSubkLhbxWGRYlHMZmxuDiLbHnvyVot+rWMzTjJXLaszOzIWSmalZwsqCSPqlP1TjtxHprV6UpNvvWvaNCNLkJxxLs4p18vPPlJHCCeQGcbDs7zn3fMXqf6vt/fGvih8xep/q+398a+KNc1IXZi/7rIirwzI2E+OXX1ssBhGffMXqf6vt/fGvihE3vMJ/WPVVezao7xO9D/hbYQhCPIL6ykIQgioeUUVy3ipi23DWZa36LOVicIDUo0pxQJ54Gw9vKNXENGY8lkAuNgoa8oHVx6gSztrUV3gdUk+dvA44RgegD2nMaTX1cvmeZmacJJyoNJ3V4jsiQdTbteqD05cM26Hg64peRk5UVHZPt29kav3hWK9c1xSlp2+s+fTyiopSOLg6uInflk7x4uqqH1spJPyr1lBRiBgPNXWp366uSccZew4UcKA46AMnHJJ5nvxGISD1fqU4gTkkt/jSV8ageEDPMEAZH4xsPZHkx2+3IszV0qdn5xGFnpF5Cldp8M8uqJNp2mVqyLOEUxCWslIQocjnHjiJGRADRXjGDuVpu7JTNQV5ozKLS8Fc0/WxjbiA3x/rfq9tL0lr4lEvqZWcKy2Sk4QDz6uXX7Y3EmNP7dbSqaYp0s0VApKinIJIwNvHEeKaozDAU0ysJSEZUkI27OY8Iw/MFNFC3nqtQ6lZNz0Odm50U9M2ZjKcrQdgTucDYkjbfliMTptdS2/NU6sUwSi8cJQtCihxOOo4x3xtnVZFrpXEuoStOTgEb5iJdRdPJebbVNSBUy/z4kbFPX+2I2SWNnLeakt8zVNvkg+XQLVYldLtWZ8zFKaUlmlVlalKWw2SAlt7JJUkAjCgcjkdtx9FZWYYm2G5qVdDrLyQttaTlKkkZBHcRHwKkG2G6wJKshfncueDPEd1AcsnfJGe3kY+p/kIa5tXrZStM63N8Vatpoeb8Z9N+SJwg4P8ANPo+GI71BWOLuE/yXlMSomhvGjHiFtbCKA5GYrHZC4yQhCCJCEIIkIQgiQhCCJFFHAisW64XKgzRZx6lJKpxDC1MJABJXwnh2PPfEZAubLV7sjS48l7s523hnG28a31vUfXK3pZE3W23JJhxwNIcdkmsFZBITsOeEk+yPRR7216rcvLVGQl3H5N9XovIkmilQCiDg47j7ovHD5MuYuFvFcQY9AX8MMdf+lbEE4BJJinEMb537ecYDqlqg3p9TWUMMNTFUm0ky7ThPCkDmtYG5GdsDGT2YiNGLs1/qsn+XJKVmFSjgLiOjlW8FPVwpI4iPfmNIqOSRoeSANtVPU4vBTScINLncwBey2KB7zDiAzvyiKdJ9YZi7J1VuXJKtMVNIJadbBSh4DmCDyUMZ7DvyxHn1x1Bumy6jSmLfnkMNzTLqnQplC8lJAH1h3xqKSUzcA7rc4rT+6+9jVv39FL/ABeMBz5mNdZjU7Wy2GW6pcFL4pRfDu9JpDZzy9JGCM9564mixLxlL4t5iuyjZaKlFp5knJacTjiTnrG4IPWCIxNSvgbnOo2SkxSCsfw2gh1r2II0WSRxUSDHVNTbMmy5MzDrbTTSSpxa1YSlI5kk8hEC6g6/1E1ASVjLbblmCUuTjjYX0yuxKVDASO3me7G+sFPJUGzApq3EIaFuaU+XNbADcRwDicZ/HnFntGqTVUtOmVeouJL0xKIeeXgAcRTknbYRC0/qzqLe1xTUhp0ziUlgVNhDSStbYOOkUpfLO2AO2MxUr5S4DYbrSpxKKlYx5BJdsBv1WwaTk7DaOURJpFqrVblqM3at0tBuqyqVKbV0fRlfCcLSpPUpJ7O/ljeWQokb4jSaF0D8j91PSVUdZEJY9vwVyhFBFYiVlIQhBEhCEESEIQRIQhBEhCKZ3xBEOwOYgTym7183kpSxZOYw7PkOzXCdw3n0UnxOSe5MTtNTDMtLOzL7gQ20hS1qJ2SAMkx86dZdUnqrcNbvTjUslhwyjRVggE8DKe7bf+sOyOLjdTwYOG06u08l08KpzPNmOw/KjbVe7GHXkyEq+EyskFcZHJJxlQHbtj/REZFoDprLqqb9/VFhQnHwltkOfoIA3HvznviFkPTN31+kURlHTOzK+lfSg4BcyM57sf2Y3ftC3WqPSJWVbQAhloJKO09/t8Y4FMy+q9YS2NiurEshCR6K15GwQcf5GObslKklXQOZSOE4SDkk8zvHFZQhIDkw5lGB6CORiipmZQnjbfUerC04z+EXrgLQAleB+VaW50YbJTncK2i3VGXQltZISgg7KJz7IubpW5Np420hTnpeiOceeoyq3QVFJBO2MRG7VWI3ZbAlR7VWVLW4lwtoTgbp6+fVGA3E0pt0KRnIz19mdok2uyjbKlJW4GlJOfSJGFdUR3cLrbTnT/mVDOFFsZA8YqO6q8TmGi1+1at9niRXJKXLa2ynjVyHGndKv2jwMWDSXWm49LNTqJfVLmFdPTplIdShWzrR9FxCx1hSM+3B6olK+DKv0uoM8AU240VA9mN41ImKwwzV35Lpw2UO4SVHYYJPPsi7TAvFxuFwazK12XkV+jS1rgp9123TLmpToclKpKtzTKh1pWkEfti6xph/Bma0OX5pPN6e1aaQ5UbTdHQellS5RwlSD38Ksj3RuannHp4JRJGHLyE8fCkLFyhCETKJIQhBEhCEESEIQRI4rwRgxyiisYyeqCbqIvKVymyKdjbNWbH/AIL0ZLoxvplQ8nk27/erjGvKWP8AwIpw6/ys3/cvRkui4B0yoe/Jt3+9XF9wIoW/1LgR64y/+gfkKHdVuKu63MUiZJLPnEhT8k7BtfAo/i6qNlG22WkIabQlKUgJSEjAAHUI181+oU/RLxkL3kW/zbway5g4RMNHKcnvSE4/omJApuuVgzNJbn56pqlZnowXZVTK1OJVj6owCD3EH3bxLURvmgj4QJAGviq9DURUdZUMqXBribi/MKMbkZRQtf2FyAx0lRlnFBOwy7whX9omLl5TgzVqErbHm7+2f95MWqzhN6nav/KdEmpuWZfE2vi36JtAw2kkbcRIG3jjlF18prBqlCwkZ83f3PV6SIutt7zEw7gG/ouWQHUFTKz6HOu31XZqHrFa1asY2xRWZmYfmW2mluONcDbQSQSd+Z9HAxtvnO2DmugVHn6TYwdn21Nqn5pcy2hYwejISlJIPbwkjuxF0t3S2wZJmUqTNsyqpgtIc43SpwBRAOQFEgb9gjNkhKcJGw6hHNnqGcMwxjS9yu9QYfOKgVdQ4E5QAB0XhrlHkK/SpmjVRlLsrONlp1J6wevxHMHqMQJrLZNDse1KJT6KyQVza1OvrOXHVBGxUe7Ow5D2xsZEJ+U5j8k0Mf8ASnD/ANyM4a9wqGtvpdZx+KM0b5nDUDfuuFlUo+qU0SD7SihSKArhI6j0JxGHeTJLoTJ1+aI3W6w2SexKVn/zGM/tqlis6VSNKKuAzlHDHEerib4c/jERaI3hS7HqVbod1TBpynCggupOEut8QWg9+4x/RPdG7AZIZmsGt/tdU5ntiqqWSQ2bl377Bc0n8m+UgpDPoJVP7gbA9IwCr+0TGxYOBmNb7CWu/NbZi5ZNtSpNh12bKlJxhAR0bfgT6O3j2RsekEc+2NMRFntadwBdWsCOaOWRv0lxIXMcorFByisc9d5IQhBEhCEESEIQRIQhBEjiTjJjlHE88Rgoox8pC6xaGjlxVQPJaU7LebJWo4A4zwnfwzHy81CuOYn6VUSy4UhLUk2eA4UEEKcWfb6A98bkfwnl4LoGi1OojTgSurVFIKSdlBAzg92SI+c1YvVDtEcmppbqm5hloJ5BRWlAJXjuUkdu0eTxcOmqwBsNPVerweMMp855n8KVvJQYl7iv2pTqkhYpiUtNFQGyiVFZGNufDjwPbG41TrzVLlxKttFyYcUEtNpHpOHrPcP3xqL5B3QumqzYKQOnea4UnOwSyQd9zkH8DG2F21ilWbRp28Z+XDv5OZ4gACSEgdQ57k/sg2LILNVoShztVb5pOoEwTMS7bUuCOIBRTvk8vS3/AAixPV7UenrDTrMvMtJVlWACQO//ACjXCreUTrPqrXFy9kU+qSVLWtQX5nKlwIazjpnXeFXAkbBSvRSCQniyQDI1rymuen1XEhftMmZ1p5WFTCH1TCOIDqUoZGwzyA27YkfTva3PrZTRVLHvMeYZui2Ep7/n8jKTLqEofQApxKeQJHV7ox+/rveoUi8uUS2FgHCjj0eUZBby235RLqlY40jOefEDjGf8YgjW+uzsi+qVk21PvrUeBGMjsGRjlkxBK6wyhTwgPdmWD1mr1q4Kg5MV26G5Ztw83HyhAGfEZ9keyVpNCmm1tUO9WZiYCfSbaeCwTz5ZORy98RTVdN7krteTPtPz04zPtLl5RxpnplvzSHeBaD/yCRkEFWE8O4P1iMn1m8na3bIEnVtPbwmG6miXDsxKInkzSUOpAJCV/XHM4BJiZtAHRZy5V+0mR1PBAN/t6ry12Vmm5iZp08nBWhQCk8lZ2z3eEacXPLqptxz0o62pTiXFEqIyCOwjtjdaQkarUrZkanUCHZhLSUuqIIVx4wrI8RvGq+ttvmVud53HAXVBQI2zke7nmNqB7WvLSocVY57A9o1Ww38H5qwdMNWaJcGOjpFWP5JqI4tuBZCUrOT+irhV7DH2wStK0pWg5CsEEdYj842kNVnKZOCmB1WFFagOsEEb93Ix97/JwvZ3UDRa1bjmHeOZckUMTJ6+lb9BX9nPtjp0LwyV8J8R4Lg4lD8jJeZ0Kk2EIR1VyUhCEESEIQRUyAcQyI6JydlJBlc1PTLUuy2OJbjqwhKR2knYRjSNU9PXpjzZu8KYF9qnglH2z6P4xs1jnagKJ88cRs9wHmFlmeuOKjkY5Z7Y62phqYaS+w4hxtYylaVZBHcRFirWoFnW895rWLikpd4bloucTg8UjJHug1jnGwF0kmjjbme4ALvuqz6Hecg3TLglVPy7TofQEuqbIWElIOUkHkpXvj10ChU62qSxRKQypqUlgoNoKysjKio7kkncmPNRLutu5AVUKtSk6U7qQ04CtI708x7RF4ztmDy5oyOWsbYZHcaOxO1wvJUqVI1eUdkapJMzUu8OFxp1IUlQ8DGBO+T/AKbuTCn0U+bQlRz0SZtfB+JJ/GMxrd321biQqvVuTkioZSl10BSh3J5n2CPHSNRrIrzyZelXLIPPKPClouhC1HuSrBPsiaJ88bbx3AVedlFM8CYNLu+1176BbFDteSTTqDTWZRgbkIySo9qlHdR7ySYtt2ad2tej7ExcMguYXLIUhvhfW3gKIJ+qRnkIutYuOiW9Loma5VJaRadVwNrmHAgKVgnAJ7hHKkV6j15hU1RalLTrKVFBWw4FpChzGR17iIw6QHia+KlLIHD3cgf0r2MMty7LbDSSENpCEgnOwGBHYABvFrrFzUC3w1+XKzJyPTZ4OneSjixzxnnzEdtQrVKpEj+UqpUGJWU9EF95wJQOLludt40s4kabqYPYLi+2/crhnuMY/d1kW9e7LEvcMmuYblVlbQS8tshRGD9UjqjuF320qkqrqa7JGmpX0ZmunT0XFnGOLlzMeFOpun+T/wAMaPj/ANrR++N2Nka67L3CglmpntySuFj1I1V9pdNlaRTpelySCiXlW0tNJUoqISBgDJ3MYrdGkdk3bPflOp05bc2rHG9LuqbK/wCkBsT34z3xdJG/rMqU23JU65qZNTDquFDbUyhSlHsABjvdu62Gqt+QnK9IoqJUEiVU+kOlRGQOHnnEbNMsTrtuCtXikqIw1+VzduVlwtSzres2SVJW/TkyyHDxOKyVLcPapR3MXziizi77Y/K/5BFdkvyjx9H5r0yek4sZxw5zyi7EgbnaI3l7jmfz+6nhEbW5IbWHIclz4u4wzFkp942xV5tyQpdfkZqZbClraZfStSUpOCSBywTHkVqRYSFlCrvpIUk4IM2gEHsxmAjfe1tVg1MLRcvFvELJs9xhnMWWj3hbFemFylFr0jOvIRxqbYfStQTnmQD3xeUmMFpbo4WUjJGyDMw3C5QhCMLdIQhBEhCEESKY3isIIvnv/CdKXcjclQkKIbpcmp5RH6Li8qJ9iUp98aCyFtU97T6sTEwiYfqcs9wsYXhCEkI2O3+9nluDzGDH0J8sRldUq1Z86GPzymj3ICSB+G8aL2C7LTGpNQt6ax5vVmXUBpW35xscaR7ise09keNfK59ZKO9e7w6Npo2Dqpc8himusTDq+gLXEXSpJJOVcKQVHPgI3JuGgSF3UiZpVRY6SVfbLLqOopO2PdES6SaasaWuuSLTzjqnQVhbiAODiP1PYEpiZpWZSW0gBIyOQiYyX+pacDhvsNwsBpWi8hb6qYzT5al9DSSkyockQot4OQeeFb7+lkA52i71SUuSpzgma7XH5tLfUhIaSs4I5JwNwSIyx2rBsBCUhXF6O2+O+OoMhbgmVpBcPLbMWDUuezLfRRx0wjlMpaLnmrQ10gUlAb4NgQkdQ/1mIY1ZlW2a5Kzu3pkhSsd5ialOI87UErAVgjA5+ERFrLKOTC20JlzsSUgdZwYoSC7AV1qVgvYq4WsaZNyDK6lIsuqKUjiSgJ4vdHpr1uUxTRFOpbGFb5QBv3xiWnFTE/SFSqF8C23CyQRug45fsi+1ibm5RKihYzwkBQJzmI3zvayxW4pLvsFilWp0rTpJ2VSUjjScpA6+cal6/wAi2hhqeYUOnbcKVdeQP3ZzGx9zV51UoelWUOKJOO/cRrPq4/M1IJWloqZaC1vuEYSkHAG/jGtHLeQFZrafLCQo70ollTteDqvSSgEdm5Iz/jH2X/g66vMzmj9RpEyo4p9VUWh2IW2gn/vJV74+SGlNJbkkNzfIv8bqj2J3wPHAj6n/AMHNUOjoNyUdSua2JpKSd8ErH7o6tPOHYhYdF5ivitQ5j1W5sIQj0i8wkIQgioeUcSTyzzjkeUcCDjMFg6arXXVWs1i/9R2bBpr5EpLvplkozhCnsZW4rHPhGfDhOOcZW75N9pKpiW2qvUUToTnzglKkFWOtGOXcDnvjDbfKZDyg3ROYSV1GZSCe1SVcPvyPfGyI7ffHUqZn0wYyI2FgdF5fDqSLEJJpqpuZwcR4Du6KNr1nDpVpU1T6O7wzDTTciw6NiXFA8TmO3ZSoj7SjR+RvWlO3NdE3OKafdWGUNOcKnCDhS1qIJO+eWN8xmXlItOOWRIutJyGKo2tYHUktuJz71CL5obMMv6bUsNLCiyXkLPYrpVH9hEGSPhpOKw/MTqVvJBHU4p7vMLsazQKH9SbFf0nrFOrds1CZDLqj0K3FDjacTglJIAyCPwznMTJWNQU07S4X022C6/JtrZbPIPOYSAe4KO/cDGJ+UxMsi36PJhQ6Z2dLiR18CW1A/ipMWi5ZKZa8nCkdInhDa2Xl56kLdVw/20RKQamKJ8m5NvFVhmoJ6mKn0aG3HQFWLTfTib1Sm5y5roqU15ql8oW4kjpX3MAlIJBASAQNh14GOqSZLQK0KZXJCs0+ancST6XlMPKS4hak7p3wCCFYPPG0W/SdU7U9GJul28+GqojzthCgvhKHlEqQc9Wy07xHtTq2p9oXXTrfr9yzhceWw6UomitKm1ucP/lMbuM08r4435QL6dyjiFLSU8U8sReXWJd3lSF5Sqf+CdKGf/WQ27R0LkYPpBcc1Yl5poFXcKZGroaI/mhS0hTTgPeFYPj3Rm/lJjFpUrH/ADmk/wDhORjuollrqGmNr3nTknzun0iTTM42K2eiRhXilX4E9gjFM9nuzYpNnXHnySvY9uISVUW8YafLmvV5Tm7lv9ikzBP/AIcZbrWE/NHMDGw8zP8A4qIiHUK8FXjaNrz0yvM9K+cSsyBzUsBvCv6wwfHMS9rT/sjmf+yf3qI14bohCx3Jx/KlbMyc1czNnMB88qs2ldq0+9NHRQao8+1LvzrqlKl1JSsFLgUMEgjmOyI+1i07omnjtKbo0zPPCdbfU55wtCscHR4xwpT/ADzz7olvye/9nLH/ALZMf2ow/wAqD/jNujtanP2swp5XtrSwHS5WlZSxdkMmy/MA3XnbRZNZOidr0xyj3ZLT9UVNtttzQQt1st8SkbjARnG564wirDHlGMYSMmfZBz/1YieraH/B2lk9cmz/AGBEDVfH/wBIyXz/APr2f7sRpSyPlkkLjfQqxiFNFTwQNjbYF7brs1qlFWnqVSbwZQUpfU2+Skc1tEBXt4eH3xM12XCxR7LqNxtO7NyZdaVn6ylD0MeJIx4ximvlv/lixl1NlsKmKS6mZScb8B9FY8MEH+qIjC5L5fqOjNv0LpCX1TBlpjfdTcv/ACYPjxNHxTBjBVxRHobFazTjC56gH9TczfHZZN5OtEUqRrd0vJJU8oyjRPMkDiUfeU+6MK0wsSj33c9Up9afmmm2ELeSqXWlJ4uPGDkEdcT9p/b6basKm0rhw4iVLrxxuXF+mr8VEeAEa6WRYc3f9w1CnytTTIKYC3istlwKHHjGAR2xPDNndM7NlHJU6uk4DKSLJnJuSOpO6n+xtJ7bsOpvVWjzlQedeZLChMOoUkJ4gduFI6xGcp8PbEc6XaX1DT+cn5mdryZ8TaENpSlpSOHhJPWo55xIyRjMcioOZ982bvXqcPjEUAaI+H3LlCEIhV5IQhBEhCEESKHlFYoeUYKLTHyuaQw/WakhvGXejKvFSEj9pj5mX67O2Te8vXqQoNzMq8mYllK+r0iDulXceR7iY+oXlZsvNXLOMtggzMo2+nvwAM/90x8ydbZd2brTgwUhDySMdpVjPZyx7o8K+TLiUg7yveYYM1E2y38sGvzt7WwzeNPW3M06fQ3MLQ56LsupacqBG4Vggg+BjKJCceb2WMKyMd47Y0U0S1/ndKatLydwVZyUtBalOTrYYW9w5ABKUoBV1bAAjJJPWRupY9y0K9aDTbptyb86plSYS9LOlJQVtqGRlJ3ChyIO4OYnLuMwPHVWpDwprdQskaWklBI3ByduW/VHqmp1TLCjLtkPKGEdefGOhLSWwVFWcYJ2jqbe6aYW4DgJT6I/xiVt2iywQH6hWuVuCkStXYpyy45MuJLi8NkpSAd+I9W8Rtr5fNKRKCXZlUOzQXhttkjiKfbsB15PVEqolpJ6ZMwtloLSMcagCcY5Z7OcYZc9DoSpU1JMpKqdWspWvhHFgEjGT1d0Zc0lqmYAJMwUXaPyk+7XpuruByXkphptGF5wpwZOQP62M90Z7eDQZYUeSkp90W9lLUutTDJSlWAocO+Mx11GpPOqXTZr84oN8QUewH/MRTkbpZXi+z8wUMXQt8h1KySQeFI2/GNf9Xrrk6bTXrZZcbcm5xaUqQSD0aME5xzByUkeHfGwd4pLbzwTvheD2Rp3eLLdc1Lq9QQQppqYLSc9ZbAb29qYs0ELC4udyC5uKVUjQAzmpJ0+CkyKEq5tNJSPsgf4x9E/IBqhkb0nKQtXCJ6mlQHaUFJ/f74+e2n8qoSKyUj0kp5dpV/kI3W8l2uN2pqnbU4XQGnn0yjhJ2w6C3+0iKcE2TEGv71RrY81EWDovpTCKcWeUBvHvV4bdVhCKZ7oIqxwUM5EVKuqHFGR1WLhQtrFpPVqrVkXlaKFLnhwF9ltQQ4VI+q4g7elsARnOwIiyM3j5QLrKaa3RJjpQAkuGRAUe8qO2e/EbBKGeuKcB7otsrSGBr2h1tlx5cHa6UyxSOZm3sd1ir9rTd0aft27dSlCdflG0zLnoqKHwAeLbY4VvtEM02j6z6WzExJUWQXMyjhz+Zb6dlw/zgOaSR24/wAY2S5DG0U4QOvnGsNW6O7SAWnlyUlVhTKgtka8te0WBHRa4yth6m6o3AxUL0ackpRvAW48gNhLWd0No55Pft37CJ3qNs02p2y7azrOJJyW82SkfoJAwkjvGAQe0CLvjEV5DGRtGs1U+W3IN2C2pMMipWuuS4u3J3K1slLY1f0qqsybflHJ2VeV9ZlsOtPJHIlPNJwf28xHRMW5qrfl2SFfrVvvJcYcZQVFkMoS0hzi/SPP0lfhGzJQDzhjkOobCLPaLvqyjN15ql2BGLMEjsl75eXVRfr5QK1cNs06XodNfnXWZ9Li0Mp4ilPRrGfDJHvjMLWpBVYVHolXk8EUmXlpllwbghpKVpI94i/qTnA7I5Abcx4RTM5MbYxyJK6jKJjKh8+5cAD5LU249Ir1pddnJGm0Oen5Nt4mXebRlK2zunftA2PeDE5as0eqVfTKYpdLkHpqbV5rhltOVHhcQVbdwBjP+HYc+cMeETyV0krmOcPpVKDBYadkrGE/xN1gOiFGqtDsVmQrMg9JzAmXl9E6nCgCrY4jGPKFta4rieoSqDRpqeEu3NB0so4uAqLfDnx4T7omYHBzn2RRWM5J3iNlU6OXjgaqxJhsctIKMk5QAO/ReG32XZeg05h9sodblGkrSoYKVBABB74hmp2jc7+ubNfaoc2qnJnWlmZCPQ4Q2ATnsidARsMYgU8t++MQzmIlzeYW9TQsqWxtedGEEeIXkq1OZqtMmqW+B0c0yplW2dlDEay2xpXeLl102m1egzrdOanSXnlp/NBAPESDy3CQB4iNpjvvFAMHOffG9NWPp2uay2v2UVdhcNc9kkm7fvtout5P8WWlKMHgIAHhGsFv0TVqz6xN1K37Ynm3HypBK5bpAUlWev2RtHuBt7BDfl+MYgqTTgtsDfqs12GtrnMcXFpbzCjDS+uap1GuzLV8UxyWkkyxU2pUqG8ucQ2yO4naJSScjPbHWE8BxtvHMEjnEMkgkOYC3grNNA6njyOcXHqVyhFOLuisaKykIQgiQhCCJFCeYiscSOZgi1w8rShlyZt2uAHo3umpzpxyKgFN+8gj2x80tZraelqg64tshTbgUc9YSrfb2D3x9ftb7KcvrTqqUmVT/HWUCblD19M2eID24I9sfOrWGgS09SkXM5LhBQR5whW3CUkB3PgCSe4Z648Jj0L6asEzdivZ+z1Q10PCdyWrNz205MtTtJDX5vgSji69y5y9yYnnyI9QG2aRP6T1d5SJ6muuzMk2sn0meIB1CT2hSknHYonqMWG8LXlqTRZK5kKQtjo/NpgJ3V6OOEjxTxe3ER1dlTf0/vOmXrZ8wEON9HNhQ2SpaE/nEHH6LiFcuwQw6QyR8M7fuujXaS52r6WS5bflwPRGUEeOBGN1q45e3pJkJkZmbceQFcMu0VlIOD6R5Dcgc489l3VIXVa1Pr0iSEzLCXeEqyElSd0k9x2zF1lktq6QTBygDCAoD0By9oxgRZvlNnKOEi6wap3rMS7AmUys8ykbjo5F5w56wSEkEb9WYwC5b1uSqPKk6bR6gqWSnjcUiTLIDhJJJ6UjA36vdEt1GRQhS1SEwthSlZ4kcifDlvGJ1KmVyZdUqYmeFlZHElKAOLYbnbsx7osiSPLouvA+NuqiZydvdFUYcYqLDeVlK0lPSEDrzggd2xMZsudlZhpt191KpnoypY5foHI/xjpmaM+ibShmXPChwlJPYcD2RjdyTbdIamHukIcfKm855cooSODjokuV/wAwUf6h11un02cqilgBhC1hJ5E8kg+2NU6fLpXV2UqyorJcUT+kon0vxMSlrVdy5qbl7WlXPRKjMzQG2cZ4Enuzk+wRglMlR+W5IFKcdEnHacgZz78+yLUQMbDfmuLVvzvA6KXrMkejlk4QAFJTsO0Kz/hE7WxNLprjc1LrKFsgOtKB3CkHjSfeIia15dIYbQgZAUMnrHMf4RIVHnsSkssqyoJKTk7bHB/A/hHnpJcsucKzKzNFZfWCx7jlrutGk3LJuBbVRk23xg8iU7j2HI9kX0co038jrygKLSpWX0du6eRLTC3lqo0w4r826FHJY4upWTkDryR1RuOk527o+h0NQ2pgbI0rwNVA6nlLHBcoxfUS5py0LQqFwyTLTr8p0ZShwHhPE4lJzjfkoxlEYFrj/swrR6/zH9+3HRgaHytaeZC5lc90dNI9hsQ029FG0tr/AH9OMmalbRlphlBwpxtl0oBHPKhsNjGcaea1028p1NDqEkadU1AlpPFlt4gZKUk4IOM7Hsjo8nXewXyd/wD0k7z/AKDcR7rnSpa17/p9co7aZdcy2iaIbHDh9C/r7dvo+0d8dQRQzyupwyxF7Edy842orKSmirjJmBtcEdeiljVu/alYVIkqhTpSXfcmZnoSl4KIxwk5GPCPdTr6bb07YvmuNJbCpTp3UNA7qyQEpB7TgRgvlFPmZsuhzWMF6bDm3e0TFxl7enLm0Fk6RT0hUyuRStpB241JUVcPtxiKwhj4DHP5usVedV1Hvs0cZuAy4HfosU+ffUirrXN25abK5Ns+liVdfKR/vLSQAcd0ZTTdWbrqun9Tuhi10iekJlqXbaCVrS9xLQFEJ+sMBUYPpdqu1YDDtq3FSH25dt9Si4lJDrKjgELQdzv7RyjYKjVOkVmRRUqNMtTEtMjpEON8lf59ud4krGtgNuFpfQ33Cr4W6WsaXGoOa2rbbFQROeUFflNIE7bElL8Q4kh5p1GR14yd4v1o6v37XrkptMn7RRLyc48EOPiXdASkgnIJ2i0+U4AKhRANvzD39oRONECRRpA/9Fa/sCMzmFsDZGxi7vtZYo46p9bJA6c2jy8t7rBtTtX5OxHUUqSlkTtUcR0hbUvCGUnkV43JPUBv4ZGcBVrjqlJtCpz1qy6ZA4IWqRfbQQeWHCce3EWuhybV2a9zH5VQHmRPvuqSsZyGgeBJz1DhT4gRslNSkrNyy5OZYbcYdQULbWkFKknYgiMScGjDWuZmJFzdbQ+94o+SWOUsaCQ0Du6rFNOdSKZqDTXH5dsS87LEJmJYqyUZ5KHak9vcRGG6j6yXLZ93Lt2mUmTmW+iaUjjSsuKUocsA7xh2kSVW9rDM0WWWoslc3JkH+Ygkpz3+gIpq3OsUzWeXqM4opYlzKOuEDJwnc4HXsIlZSxipyWuCLgKtLic8mHCXPleH5Seqvkr5Q9w0+eQzdFpJZaUfS4AttwDrIC+cZzf2oVYolBpVctGmIqqKieMfm1qAbKApJ9HfriLtY9RaBf0tTqRbcnMPvMTHSdMprhUcpKQ2kczkqB6uQibtPqLNUCy6PR6hnzmXlkB0E5KVHcp9mceyIp2RxMZKWWJvdv7q1RTVFRLLTNlLmgCzrbHmFDb3lDX3LTAlZq2pNh9WOFtxp1KlZ5YBOd4zPTrUq9Lrr/5Nr9sokpcMKc6QMuJPEMYGVbRg2rgHz1UtONuKQ2//ALTGxhSN9h/oQqjDHG0sZbMFjDW1U08gfMSIza3VRXZOq9bue/p21JuRk25aVXMpDjfFx/m14HM43jIdR9TabYEm2Vs+dT8znzeWBxsOa1HqT1dp6uRxE+ke+tNXJ/5Wf/vTHm1HbVcutrFGmiVS6X5WVKScjgwCoDxyffG5pY3T2tZobcqFmJVLaAyA3eXlov4r3o1w1TmGFVSXtaXNPBJDgkX1Ix/1nFj2xIumWrUlfockJiWTJ1JhHSKaCuJLiM44kHuJGR3xnbcrLtMIl22G0tNp4EoCQEhOMYA7I1sVKotDX9uUpY4GBU2kpQnYJRMITxJwOodIoAdwjSMQ1jXta3KQLiynmdV4U+OSSUva4gEEcz0Uj6u6qViwKlT5KmSUm8mbZW6ovhRIIUBgYMX/AEvv9N/0FU44htmflnC1NMpzwpPNKhnfBH4gjqiNfKIDXystzpkFTZbPGnGxHSJyD3Yi0USaf0Z1VdplQ4k0udUEFZ5GXWfzbn9U5B/oqjYUsclM3KPnIJ8bGyhdiM9NiL85vECAeguBYqR7y1Oq9u6k0izpSTlXJWfMqHHFhXGnpXSg4wcchF01R1Nl9PZGXS1KJm6hO8Xm7JJCQE4ypRHIZIAHX7DEc6nKbVrva6weLiNOIxyx5wuPf5RtpVSebp9zyTK32ZNpbEylO/RpJBSvHZnIJ8I1bTxF8QdzBv4qWStqmx1LozctcLdw52VsTrnqdKoTUajaTCqevdKxKPNpUntDhJB90TvRJ6aqNJkZ6bkzKvTMu264wTktKUkEpJ7QTiIvsTXOgXAGaRcjTVOnFhLXEcebOq5YBP1c9h27+2XG0pCRjHKIKwZTlMeU/lXcIdxGl4mMgPXcFc4QhFJdpIQhBFTIhxDtiijiLJcN2Um3GVrm3Qp7BKWkfWO3X2QAJWrnBouVel8BBSRnIjR7yntPZWjVitUxhxKZGsNLnGuBQIYcIPEFDq5HbrB7oni69UK2qnzD6XG6fLFCsdGr0z2YUdyfARDty27M3Ct6cq73EXkngB4gUA81KVvvnYAjbMU67Dvf4uGdxqFLRYq2jlDxtzWh1RupX5EqNgV4FqYbUeBfFgKQcA4Pcdwe5Q64htc9P8MzalbUHHWllyXcz/KIwQcHtwTt+6J1110wui26y6p+lvvSzp6RiZQjJAx/OGR7/fELu0C5q0wppi3piZckyXC/0S0lDY3Uo7bYA7euPKU1LLTPMbgvee8w1MXEa7RbueS49Nz2l9KTupSGy1g9qVFJH4RMKZx1Ki05kLQcYH83PKIa8kqbQuzpOXUpKPOEF9oJ5FRUQvH9bJ9sT3WKOmbSH5VQbcKcEjtEWIhxAb7hV6iThvBbsvO2ZJ1vo+JIUU8W3WIsFaWhBHBwJGMZO/8AraPNUPPZQKRwLSrkrhyUq7+6MGuC756mtr42htkYBIP4jxiQtyjQK1TVUe53XdW59mR6WYLqE8ScZxkAde/XGuV+Xg5Pz7jMk4VIbzwDq8YvF4XhX6ulxkuL6JSt0gcKMeHXGIUqjLmQ7MrbK1KGCeQA6hFVwCuOnM1mjZQjcTDxuBT8w6VuvJySrmVAjA/wjuQoS83KvrOEkhKF/wA04wkHu3x7o69UZxmUuxEowTlv0XAP0VEEj8QItEnXC4Fyb38g8AoA80LyNs9x3EXuESwHqFyJHt4paFsraDyFy7rqVYwkO5PLmFe4jO3eYySiqS07M057iKd5hoZ5jACv8fdEf6b1BUzIykuskLXLdGsHmSkkfsBGYzKUmfNKrLlR4uBAX6W/oHIUP2nujyNQ3JKQV2WfNHddtVYmnpbjl1rRMS6w4hSDhaVJ3BB7QQDG+Xkl+VbM6nTEvpxesuhFdlpMKanUrwJwIAB4knkvG+3ONIHW+grq2OLDbvCtIPI5B+H8YyGwaPdNu6n0W8rZ/iztNf6ZQzkHmCNvrJPLEd7BnyscHRbcwvM4twyCyTyK+s6TtiMD1wIOmFaSCM4Y/v0RZ9PtdaNczcvIXC0KTU1JAPF/IuK6+FR5eB7Yzq57cp940B+gzzziZSbCCpbKgFeisKGCQR+iI93C7hyNceRC8bWRmenfGzcgj7KKtEL3tK27GmJWuV6Uk3hPOu9E4r0ykoRghI3PIxh141l7WDUmTp1CYcMqgIlmllBH5oKKnHVDqG/LuHWYklPk5WQlQUueqzgzkhT6d/cnMZtbFi21ZzZaoNMQypwDpHlEqcXjtUd8d3KOi6qgje6WK+Y/ZefZh1dNDHTT2bG222pNuqjrykWkM2hR2GgAlqd4QM9QbUBGRWdc1LtTSqgVesOLTKBhtClpRxFJUogHA6ov172FSr9kpeQq78y01LO9Mgy60g8WCN8g7YMUf09oM1ZrFkTQfdp8ulKUEuYc9E5BJGN4r8aN0DIn8jcq/wC6VEdbLUxAWLQBrzFtPBYRqLP6QXXbc3Unq3SnJ9Eupcq608kTPGB6I4PrKBONiPdHh8mdyeVTK204VmVQ810YJ2SvhPEB7OGLgnya7NDyVmrVdTSTnoi43jwzwZ/HMSPbtt0i1qaik0STTLyzeTgEkqJ5qUTzMSSTxNgMMZJv1UFNRVUlY2qna1lgb5TvdQr5Tv8Ax+iHq6B4f94RONEINGkMbgyrX9kRjl9aYULUF6UfrE1ONqk0qQgMLSkEK55yDGVyksiTlWZRClKSyhLaSeZAGBmIZpmvgZGNxdW6SkkirZqh30vy28t1rTV3n9Mta3KvONOeZrmlTAwnZcu8CCU9vCVHbtTE0VDVuwJKlrqSblk3yEFSWGXAp5Rxy4OYPjiLndti29esqmXrkmHS2SWnUkpcbzzwofs5cowRryarKQ8HF1WsLQDxdGXWwPDIRmJzNT1AaZiQQLac1RZSV9C6RtKAWuJIubWJWG6GU+duPUSfu55kpaY6Z5xXV0rxOEjvAKj3bdojq1VlWJ/WmVkZxBcl3zJtrQTsUkgH8CYn+3rbpFsU9FKoskiWlm9wkcyTzJJ3JPaYx6t6U0CvXY1d85NTqZxktKShtaQ3ls7bFJP4xltc3jmU6C1gtX4NIKFtMCC7MHH91E2olsK0mvKl3dbUoG6cXBwNblKXACFIyf5yckf1uyJ7oFcp9wUiVrNNeS5LzaA4kg8u0HvByCOogx0XRa1Lu+iv0OrIKmHeEhSThaFA5Cgd8ER47JsWn2LIu02lz86/LvOdKETLiVBCuvhwBzivPP7xE0O+sfhXqWjloql/CA4TtbdCoY1c/wBtdK8ZD+9MbFkgj/XZGFXJpPQLnuZi6p6bnW5yX6HgS24kI/Nq4k5BSTz74zXgyDvzEKiZkrGNbyFlvQUklNNO9+z3XC100j21oqxPLpZ/+9MdesstN2pqjJ3WllRaeLM031BZbIC0Z7dh9oRLVu6TUC27mfuuSmpxybfU8paXFpKPzisnYJHXGQXHbFFuunKpdelETDCjxAZwUqwQFJPMHc+8xY99Y2cP5WsVzm4RMaIwk2cHZh6qxyurOn0xTBUjc8i3lPEWFuBL4OPq9H9YnwiGLRM1qPrV8omWlolWpsTzhI2Qy0AGs9WSUo28eyM9X5NlmqeK01aroQTktpcb4fDJRn8Yz61bKoFmSapOhSaWQs8TqyeJbh7VKPjGBNT07XcG5JFteSkNLXV8sYqmhrGG+mtyof8AKMGLnt84OOgX/eJjLddrLVcdrCtyTeZ2jhT3ojdTGMrHfjHF7O+MgvXTCiXzUJKp1WbnGnZFJQ10K0hOCQdwQc7jujL3G0LbU2tAUlSSkgjIIiP3sNZFk3bf8qXsszPqBL9MlreQWpFDuCauG+bOdm1AvSTklJFZO60omCQfsqSPZGyVdv8AtO36yi37hqCZR5+XD6FOoPRKQVKTji5A+iefbGOSOg1nU2uS9dk359tctMpm22g6jowpKuIDHDnHIc4u976U2zfrzU5V/OWZppoMpel3MEICicYIIO6j1dcS1E9PPI3cNAUFBRV1FDIbBz3EbndQ7rXK6bkSlRs+o09dQeeKZlmQdStst8JPGoJ2SrONts5PZE4aauz8xYdBeqSlKfXINKKlHJUkp9Ek9pTiMTpHk72PTJpM1Muz9Q4CClqZcTwbdoSkZHcYlFptLTaUJAASAAB1CI6qoY+NsbCXW5lT4bQzxzvqZmhmYfSPyq4OBCOUIoLuEXXEnEeKp1iVpUmudmONaEqCOFtPEoqPIY7Y66nMzC0mQp5zMuAji6mh/OJ6u4Qo9IapcmJXplPlSy6pa+alnrjNhzWmYnQKyrnbvrwPmEiimMKGzj6/TII7ADj3e2OhrTppwFc9UVOrWcrJQCSd+tWYzIgYioAjIcW7LUwtd9eqjau6H0SvTcpNztbqARJudKllIb4FEDAB2jxVrRVcy2tdNrKFPq3PTt4yer0k5I27oleKEA8xG3Gf1WPdo9gFri7YVx21MdJVac48MgIfR6aAO8jkPGIzv6iUy5qhUWp1uXKG2BKpPCeNvjISVJOOY2PPt7Y3ZKULBSoAjsMRlqBo5TK6y/P280mUn1JWstAhLTqynH9U+G2fbErJg82eFAad0bs7Cvnn5M0pPSNs1KgTSQ3UrUqs1KrQDuClxQUjwI5eA7Y2eptVam5NLiQkKKQcE88jOfdiInmLbmdOtX6jUKjKPS0vcSksz63EhIaneIpbKwB6PGkcIVyJQBnJTxSZSqMiTprMmp9bpbBSFr58OSUjbbASQB3AR5OendBO7ovaw1LaqBruf7rjMhMzxEI3z1HaMOuO3ZV8KW6whRIJzgGM+EiESqsLA9kYLeNQRR6ZMTsxMhKGgSSSPwjV5AbcqSJt3gBQRfFDZSVoLbaGh1Dmf9eMQ5fF8SNtSCqfT1qEyQQnAwEnv7TGc39eE7UG30SykoccJ4QnGR/SJ5RrpXJJU5PKU86XZp/jxnBwnH1s/wCucUI3CR97aLqkcJtlgUyioVmrrnXVKW4tZWtautR6zHKXkMrWkqPoqPKMnqUu1RpVUm0nje2yevGP9GPDIyaES8woqBU3whSu1Sjy9wMXnTXbYKi1mvepP0jnHZuWabcPpy7/AADfGU5/zz7DEmzv8Udp06pvLYcUysdqFEej7eJQiJdLVdGmaaRni6Jb/D15Qc59xHuibLhkwZFLiEZJfLiceIII9490eVrxaa67dMf4WqvlTk3G/wAkzKSApalSyzzyUgYMStpWW6vJS06FDpGE9ESnYnsPhtGC1OTcVaMpOFrKmZhCxuc8RZz+0xkuhjrzM0afyS6okJ9n/wAvfHZ9n38OW3VeVx5vEjzdFPzUiw+y2p5sqATkLI3Se4xklDve8LOS0xTZhE1IpTszMKUUAAE7dh26jviOySppNPxgejjHuMeNwJlfP2HeAtpYSvhKuZUQB+38Y+hiK4sV4MTuYdCpzsTUOkXtKqDCgzPs7PSx5j/eSetP7OuMsGSd41KZcnqDMtVqjTymHCsOMLSdwoDBSe3OCD4RsPppf0tflD86KOhn5RfQTrHUlfMKT2pUNx7R1RVezIbLpwyiQLLinPXiHB3xURWNVLouPCIrwxWEFlceHvMVx2HEVhBFTG2Mw4RFYQRceHvivD3xWEEXHh7DFeERWEEsuPD3w4e+OUIIuPD3wKQY5QhZFx4RDh68xyhBYsqYhiKwhZZXEoz14hwYAAPKOUIdyxYLiU564qBgYisILKQhCCLzysqmXCv0lKPEpR/SPbHeRFYoeUFhcSTnlFMk75GIxTULUKkWFThMTqulnHgfN5ZJ9JeOs9iR2/tiG7Hv+9a/qhTW6tWJtDM2+VLkgooZCCypSQE9mOEjOc84tQ0kksZk5BcyqxSCmmbAblxI8rrZAkAZJwIZzv8A4xgurl6VCzLX88pSUCbm3RLsuLTxBvIJKsHYkAbZ2iJ3pLVuXtJOoSrumAwUpfLfnKirgJAB4fqkbj0YzDRulZxC4AHZa1WKsp5DE1hcWi5tyC2SR9ZW8c4wzSa7p69LQYqtTQgTba1S7ykDCVqTj0gOrII9uYzOK8jDG4tduF0YJm1EbZWbEXUcaxaVUjUa3J+VXKhM47LlBcQnC3AMlIJ55B3Seo+2NYdN7nnJqXm7UuVs/lihvLkZniVwlfCPQc8FJKFcuvG0bxkRqL5TFpCwdS6RqNTmgxI3IfMJ7gB4UTIHEhZ7OIcQ/peMUK5rnR5hy/C6uGOa2bI7Z23iqT6i0OJp1IKxwniPClPtP7Y1w14uHzejdKVEFTuQpSSUBKRkqA/S6tusxOFdqWaYklwAupPCc88dca1aoNKrs6mUfHE1LnhKc5HOPK1lQLWXr6OmIOZQu3VnZqTm5ycl3A0UlSeP6xTnGSe0nq7O4CMMmZAyMm7VZ0cT82seiPrBGPRSOwYO/eR2RKNVpLZbFMAHQoUSs42Kv3DsiPbpm/OJ0NtpHopCE9QT2qPsyYrxzAbKzJETqVhVZbem5sOKzlW6gBsV9nh+6O2kyeJdbHBsVIVy6wP/APRi5SEguffmuiACUIHACexQ37v84uiKX5ilba28KD2F4O2CcD8cRI+oA+VaMp+auelMqlFcnkrQSiUo044vbllZbGftfiImScnJSep1KaSodI8MlJVk+kcDfwIiGqRVBbsrd80gcLrtLbl09p6SZbJx7AY9tkXG7P1+kSa3FKRxjJJ6wkH/AF4RQqGGQ5uSmZ8ostkZ+pJmKA1T2gCrpG/q9wP+GIzTTSmIk7ikUoSQFLSrfvBiLaNMvLmW+JI6MuKwCT1Aj/XhE22YlKrgpa5ZIIKklYP6IBMdPBwHWPRwXl8ZuwkciCti6eG+FEtxDBSOuLBWUpcqVRQpCf8A8Jg+lg4A4j+OIutKeU/MpcQOEJWUEHtEWqZlTPXFOvNKy228jpU9eOjGefjH0xrAAF84Lr6LoqsgpNEkpIjC09o7VFWPxz7I79KbnTa+oTEo76ErVx5s5xbYcP1D79vbHoWRVqkt1CgqTp4LYWOS1AekfBPL3xglYCwyaqxxdIy70jah3K9Ej2iKlQ3NqrlM/KQtzk8orFisi4GrotWm11o587l0rUOxY2UPeDF9iouwDfVIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIoogc4rFCAYIrLcNp29dHmaq3T0TJkXunZ4s7KxjB7Qew7HAiDmhw+UgEjYJnikAdQErgRsSoADaNdm//ALyJH/T1f/CmOhQOPzgnTKV57G2Ma6F4GpePwVKGsMpb05Y80m457zRtCgth1I4lB4fVAT+lncEbbZ3HONdjc13u2mxQZibm00BUwUIUWTwEg5KQvA4uHnw56ol/yj5adcoNLm2G1LlZeYX0xHJKlJwknu5++LZUtT7AnNLlW4lpXnSqf5uiVMuQEP8ADgL4uWAr0sxdoi6KBpa3Nd3oudi+Wase2R/Dyt/8r8vBSZpdJW9IWbIsWxN+dyRSVl8jCnHSfTKh+ic9XVyjLYibycpCoSloTcxNBSZeanC5LJUMZSEpBUO4kfhEsxyaluSZwBvqvSYa/iUkbsuXQadEiLfKWs8Xjovckk22FTUpLflCVOMlLrJ4wR34Bx34iUotl0MmYtuqy6RkuSTyR4lBiuWhwylX2uLCHDcL5uyWoMtUbZpr78yhKksLWUg7lQCQB9pX4RFNerqJh9azxcKVH0x1qPP29XvjDV19cpcNZpDhU06zOrwFfolauPhA5BIK8Y8YvMq+w40qcWsKbHClGetWef8AjHgq+NzJS08ivpdHI2SFrxzCt9zVFqRpziPRS68nZI/RSerxx+2IfemXZypNNoJ/PFazjclIwB7P3GMvvWprnHppKHeItAJT2kq3PvAxGHUVH/CrhKcp6BwIJ3AwMp/xiKFpAJW0hB0Cyq26UiXqrzbzPAkoSR3gp3H7IyCdoyXph9hSMB1sFKsciE5H7Iya25WkTtIImeGXm22x0RUdl42AJ6j3/v284lkqQ60tSiGlpdbO2yCeo9ytvDMUHFz3XUrCGhRvc1JdSJj82UonpcI5fpA5T/hHn0uknE3BIOlrpOhfTlOd1KHUO/bH9YRn5pqatTZiSewXZVxSgTsSnOc/tPsxFgslTVEvFlMw0A27MBSVndIWCPdkcu8CLDHkxmM7qF4GYOGyn5iUTLT3mqOFIRMkpJP1goEp/BJPtiSNN5wyl2MNz61Ib6NXAV9asjbuI398Q5UKvLLqDfmT3A+yW3UKUcBwIPb1HGfdEsSq0vUZFRDrJW5wlLnMY6uLG4I7RE+DPkhl4rRcA6hcPGY43s4bjYkbrZC2JgutqeUcDpnCPDMWlydmRclepsm6AtTrKVuAfyKC0MnJ6znA8cxGtoXZc1MnVSjvA5LqyFL4+LEZpa04KpedwOuKBa86YKieWEsN4HfuY+qUtS2qaHgEL5jUUzqZxaTdZfUAml2ulLSOjcmsNMpSP0lbfsycxi9bkQxRhJqTjbhBHPGM/vjJFzgrM+laDmWkSW2zjZTvXjwG3vi13IEuTCZfiBOT6PYMf5wkAsVrEdgsz8l65XpimVa0pt3Jpz/nEuP/ANtfMexX7YnQZAAMam6L1b5P6tyksTws1ZpyVOTj0iOJP4p/GNsk8o52xsu5GbtCrCEILdIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESKGKwgi4kEnEWb5IWyK18ovyJKip8XH50Gx0nFw8Oc9uNovcIyHFuy0cxr7Zhey88zKy83LuS03LtvNOpKFtuICkqSRggg8xGKp0l04Ex5z8kZHiyDwlBLfd6GeHHdiMyhGWPcwWaSFpJBFKbyNBPeF1MNNsNpZZbShtACUpSMBIHIAdQxHbCEaqUCyR5aoqWTTZkzjnRsdErpFfzU43Puj1RiGqdXbpllVEFwB2cbMqynOCpSxuB2EJ4j7I2Y3O4N6rWR2Rhd0WjuqWlHkJW9er9dv3VK5qRVpxTaHElt7gcXw4Cxhgg5H6QOCY8UlaH8H67LpaldaLhca4uP+SewTgb/yHYIp5U+kqdU7FfVIyY+UFHlDN090oUVPoQSpTAI68gEc+sHY7aAWlcrshNNyk2vgSVoS4hXNHpcKhjntiObjFEKZ4OQOB7rrr4FWmrhsZHNI0tdbxzOnv8HFOOPKXrZcoUHQpeG3hhWSMD8xy2jjK6T/AMHDLVBmdZ1nucvIWFIHA/jP/uO+NMJVtxc+4yrdE2lSEqPU6FnA/EfjGXSss0lpC+BCXEYQQs4AwPRz3EbZ6invjzklVwzbhN9F6VlI5+vGd6rcWfsXyBqZKATGsNxy7DuFpAZe4QMdQ6DYY6u7ujhMW3/B+FDanNaLhBVlpJS09leerZjfcA+ManVKcfeYTKONqSW88AIBHDkHHZjOeUc7dlqF0penqeypbKVFDLij0Zc5JI57Z3xEtO5su0Tb+Cq1DZKfXiu9Qtt6fZfkDKezKavV5alo4cdE6AoHb/kO0Z8Y8k5pb/B+uvnp9WLhCnTxDCHQM9WD0PaPfGs1Bt2ZqVWaZDbrG5KAAUBXHkjAOOW/Ls254N9f0+r7Dy0JkZnhCuJYXLqCVAgbnIxvntxkRcfSP+tkLb+CoMq234b5neqn5Vl+QOxPMNr1nuUPJ9JtJaewe0/yG8ZzbVJ8jSXZMpR9Ua++nJSR0D3P/wByI1dZ01qVbZQpFHecclFhBWlvpAFkZAJT14xvyxv3xKdkafTVMQkO059yYbw6Euo6NIwM9fP3nlG1HROfLlMIb32UGIVjRH/2ly2Eotn+TW+6lun33WXlgD0C24P2txmVBtjRaUNTfptz1FSnXEF9S0KyhXAgAD0M8gmIAocrVaPOMPv0xpaOkKGww9hRyCcHIxsO0xm1EuWlv3KmmTcs5ILmkJm2G3Ck9KoHhJ9EnkOEe2PXw0wiFmm3mvHzVBkJJaCprlKBpjISiAzWZpDLOfSUFDc88+j3xbHKRpFMLXPruKbPSq9E9GrbHZ6EYrOTDlYeNPllkMNEqdUnbOOqOmsIZDSES3DwpaOQNsDH+UJGW5rVklv0D0XvmKfoHRa1KVx686kxNU+aamGjwLwFpOUj+T5Z5xsPJTTE7KMzks6HGn20uNrH6SSMg+6NGb4Sh2QncJBUhAcCh1YH742p0IuL5SaY0l9S8vSqVSbvaCg4H4Yii4WcunA7M3ZSJCEIwpkhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRfl1+X19eule/WT3xQ+X19eule/WT3xRYYQRX75fX166V79ZPfFD5fX166V79ZPfFFhhBFfvl9fXrpXv1k98UPl9fXrpXv1k98UWGEEV++X19eule/WT3xQ+X19eule/WT3xRYYQRX75fXz66V79ZPfFHFy+bzeAS/dtacSNwFz7pGfaqLHCCEXV4N4XSVBRuSqkpGBmcc2/GLcZ2ZUsuKmHSpRySVnJPjHRCDjm+rVB8v06L0/lKd5edvbHP8AKHnHL8rVLGPyhM77fyqv3x5IRrkb0W/Ef1XsNXqRSEmoTRA5DplfvjiKtU0jCajNAdzqv3x5YRnKByWuZ3Ve8V6tDh/9LTvo8v4wv98dvypuMnJr9S32/wCNufvi1wjKwRdXRNz3C3kN12op4jk4m3Bkjl1xy+Vt0DlclVGef8cc/fFphGcx6rFgrsbtuc//AJiqfb/xtz98cflTcnGHPlBU+NIwlXnbmUjsBzFrhC5TKOivCbzu5JJTdFXBPPE66P8AzQN5Xaed0VY/9td+KLPCFymUdFdTdVyKGFXDVCDzzNub/jHaxe14yjfRyt21plOeLDc+6kZ7dlRZYRhALbK/fL6+vXSvfrJ74ofL6+vXSvfrJ74osMILKv3y+vr10r36ye+KHy+vr10r36ye+KLDCCK/fL6+vXSvfrJ74ofL6+vXSvfrJ74osMIIr98vr69dK9+snvih8vr69dK9+snviiwwgiv3y+vr10r36ye+KHy+vr10r36ye+KLDCCK/fL6+vXSvfrJ74ofL6+vXSvfrJ74osMIIr98vr69dK9+snvih8vr69dK9+snviiwwgiv3y+vr10r36ye+KHy+vr10r36ye+KLDCCK/fL6+vXSvfrJ74ofL6+vXSvfrJ74osMIIr98vr69dK9+snvih8vr69dK9+snviiwwgiv3y+vr10r36ye+KHy+vr10r36ye+KLDCCK/fL6+vXSvfrJ74oRYYQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBEhCEEX/9k=" width="302px" alt="cognitive automation meaning"/></p>
<p><p>They just need to understand characteristics of processes that fit automation. Although, now there is low code software than can allow these users to build their own automation without any requirement of programming skills. By giving robots the mundane tasks, employees focus on the things that people do best (thinking, deciding, producing, and creating).</p>
</p>
<p><h2>What RPA software robots can do</h2>
</p>
<p><p>These can be incredibly powerful for organisations as they provide enterprise ready AI capability without the investment which would be required to run them on-premise. The diagram below shows the range of services which are currently publicly available. It can be used by small businesses and enterprises alike and can handle large volumes of data and complex workflows. In high-profile sectors such as Legal and Financial, people can’t be bothered to do tedious tasks. However, time is a precious commodity, and most mundane tasks need to be offloaded to  Artificial Intelligence and Machine Learning.</p>
</p>
<p><a href="https://www.metadialog.com/"></p>
<figure><img 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alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='400px'/></figure>
<p></a></p>
<p><p>The ability to replicate robotic tools across geographies and business units increases scalability and flexibility. Digital wellbeing covers the latest scientific research on the impact of digital technology on human wellbeing. (with a view automating and improving their marketing), or they are actually marketing A.I. As such, the development of the future model <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> of information governance is able to take shape for organisations wrangling with how to digitally transform without impeding the creation, collaboration and flow of information. We are accelerating towards the future of work, where mundane and effort-intensive tasks are taken care of by AI, and your people are free to be their most creative and productive.</p>
</p>
<p><h2>Developing an Improved Business Model</h2>
</p>
<p><p>As a result, your employees will happily be up-to-date, and complete learning steadily and early throughout the year. Imagine if each of your learners had their own personal coach to guide them. Thanks to the power of AI, this is now possible within your learning platform. Good learning and development platforms offer a Content Creation AI and an Invites Engine AI. These would benefit from the results of Content Provisioning, User Provisioning, and Recommendations Engine AIs. These AIs are normally found within the Content Provisioning (RPA) and Invites Engine (CI) of a good learning platform.</p>
</p>
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<h3>21 Top Cognitive Computing Technologies Companies Worth &#8230; &#8211; Built In</h3>
<p>21 Top Cognitive Computing Technologies Companies Worth &#8230;.</p>
<p>Posted: Fri, 19 Aug 2022 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiVmh0dHBzOi8vYnVpbHRpbi5jb20vYXJ0aWZpY2lhbC1pbnRlbGxpZ2VuY2UvY29nbml0aXZlLWNvbXB1dGluZy10ZWNobm9sb2dpZXMtY29tcGFuaWVz0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p><p>Making RPA tools extremely useful to help streamline business processes and improve customer satisfaction. Chatbots are becoming one of the most effective AI applications, which are becoming a privileged way to interact with customers across a large panel of industries, including FSI. They limit human intervention and the potential risk of operational errors. They can also provide a seamless customer experience, with natural language capabilities, sentiment analysis, and process automation. While providing a great customer experience with personalized advice and recommendations, chatbots also save time for financial service providers, enabling them to deal with the new challenges they are facing. RPA is designed to automate business processes that are performed on computer systems, it is used to release manual effort and hence improve productivity.</p>
</p>
<p><h2>thought on “All you ever needed to know about Robotic Process Automation”</h2>
</p>
<p><p>With intelligent automation, you can optimize processes, eliminate backlogs, reduce errors, increase employee productivity and retention, and improve overall customer experience. Intelligent automation comprises both strategy and technology, going far beyond the rules-based, task automations of robotic process automation (RPA), which is traditionally limited to use <a href="https://www.metadialog.com/blog/cognitive-automation-definition/">cognitive automation meaning</a> cases involving highly-structured data. Cognitive RPA removes the burden of performing repetitive and tedious tasks, particularly those that require a high level of intelligence, from human staff’s shoulders. It makes it easier for organizations to streamline insurance claim processing, carry out end-to-end customer service, and process financial transactions.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="cognitive automation meaning"/></p>
<p><p>We perceive colour because we have three types of cone cells, which have their maximum response in (approximately) the red, green and blue segments of the electromagnetic spectrum. If we just had one type of cone cell all we would perceive are shades of grey no matter what wavelength of light the cell was most sensitive to. This would be very limiting as we can perceive around 10,000,000 colours but only 500 shades of grey. Whilst being complementary to conventional interpretation, Cognitive Interpretation turns the interpretation process on its head. Conventional interpretation is centred on picking horizons and faults to reveal the imaged geology, whereas Cognitive Interpretation is based on revealing the geology ahead of defining the important structural and stratigraphic elements. This process reversal makes a significant contribution to the productivity gains that can be achieved with this method.</p>
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<p><h2>How Does Intelligent Automation Work?</h2>
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<p><p>We then proceed to qualify, follow up, and sustain leads, as the technology helps to deconstruct customers’ natural language. At Hyperscience, we understand the importance of providing efficient ways to assist businesses with their switch to intelligent automation. We pride ourselves on the ability to provide both out-of-the-box, and customizable solutions, to allow your business to thrive using intelligent automation.</p>
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<p><p>Robotic Process Automation uses software, commonly known as ‘robots’ to capture and interpret existing IT applications. This enables processing, data manipulation and communication across multiple IT systems. In <a href="https://www.metadialog.com/blog/cognitive-automation-definition/">cognitive automation meaning</a> fact, process automation bots are generally inexpensive, with a great ROI and fast results. According to Accenture, the impact of AI technologies on businesses will increase labour productivity by up to 40%.</p>
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<p><h2>The Three Guiding Principles for Optimising Cloud Costs</h2>
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<p><p>And cognition occurs as the outcome of a causal interaction between signs of specific kinds within a suitable causal proximity and systems that are conscious with respect to signs of that kind (Fetzer, 1989, 1990a, 1991). Thus, successful communication tends to occur between two systems when the same signs possess the same meaning for them both, even though their actual behavior—their speech and other motor activity—may differ from case to&nbsp;case. Indeed, insofar as these are successively stronger and stronger kinds of mentality, the account of minds as semiotic systems implies that lower species should possess lower kinds of mentality and higher species higher. Homo sapiens thus appears to be distinguished, not by virtue of being the only species possessing mentality, but by possessing the highest species of mentality (Fetzer, 1993b,1994b,&nbsp;1996). Third, there is no standard definition of fairness, whether decisions are made by humans or machines.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="301px" alt="cognitive automation meaning"/></p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What are the three types of RPA?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<ul>
<li>Attended Automation: This type of bot resides on the user&apos;s computer and is usually invoked by the user.</li>
<li>Unattended Automation: These bots are like batch processes in the cloud and the data processing tasks are completed in the background.</li>
<li>Hybrid RPA:</li>
</ul>
</div></div>
</div>
<p>O post <a rel="nofollow" href="https://fmarck.com.br/understanding-rpa-guidance-for-designing/">Understanding RPA Guidance for designing, delivering and sustaining RPA within the NHS NHS Transformation Directorate</a> apareceu primeiro em <a rel="nofollow" href="https://fmarck.com.br">Fmarck Sites e Comunicação</a>.</p>
]]></content:encoded>
										</item>
		<item>
		<title>Understanding RPA Guidance for designing, delivering and sustaining RPA within the NHS NHS Transformation Directorate</title>
		<link>https://fmarck.com.br/understanding-rpa-guidance-for-designing-2/</link>
				<pubDate>Wed, 10 May 2023 13:05:08 +0000</pubDate>
		<dc:creator><![CDATA[Equipe Fmarck Comunicação]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">https://fmarck.com.br/?p=2399</guid>
				<description><![CDATA[<p>InfyStrat Technologies Africa PTY Limited Vision is an inherently multi-scale process, which automatically bases local inferences on a whole scene context and links these with world-knowledge and heuristics. For example, we can easily recognise something as a house even if it is largely obscured by trees and we have never seen that particular house before. [...]</p>
<p>O post <a rel="nofollow" href="https://fmarck.com.br/understanding-rpa-guidance-for-designing-2/">Understanding RPA Guidance for designing, delivering and sustaining RPA within the NHS NHS Transformation Directorate</a> apareceu primeiro em <a rel="nofollow" href="https://fmarck.com.br">Fmarck Sites e Comunicação</a>.</p>
]]></description>
								<content:encoded><![CDATA[<p><h1>InfyStrat Technologies Africa PTY Limited</h1>
</p>
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" width="300px" alt="cognitive automation meaning"/></p>
<p><p>Vision is an inherently multi-scale process, which automatically bases local inferences on a whole scene context and links these with world-knowledge and heuristics. For example, we can easily recognise something as a house even if it is largely obscured by trees and we have never seen that particular house before. This is hugely important for oil and gas exploration and production due to the immense geological variability and complexity that  need to be understood when using a primary data source (3D seismic) which gives a non-unique and incomplete view of the subsurface.</p>
</p>
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" width="302px" alt="cognitive automation meaning"/></p>
<p><p>They just need to understand characteristics of processes that fit automation. Although, now there is low code software than can allow these users to build their own automation without any requirement of programming skills. By giving robots the mundane tasks, employees focus on the things that people do best (thinking, deciding, producing, and creating).</p>
</p>
<p><h2>What RPA software robots can do</h2>
</p>
<p><p>These can be incredibly powerful for organisations as they provide enterprise ready AI capability without the investment which would be required to run them on-premise. The diagram below shows the range of services which are currently publicly available. It can be used by small businesses and enterprises alike and can handle large volumes of data and complex workflows. In high-profile sectors such as Legal and Financial, people can’t be bothered to do tedious tasks. However, time is a precious commodity, and most mundane tasks need to be offloaded to  Artificial Intelligence and Machine Learning.</p>
</p>
<p><a href="https://www.metadialog.com/"></p>
<figure><img 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alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='400px'/></figure>
<p></a></p>
<p><p>The ability to replicate robotic tools across geographies and business units increases scalability and flexibility. Digital wellbeing covers the latest scientific research on the impact of digital technology on human wellbeing. (with a view automating and improving their marketing), or they are actually marketing A.I. As such, the development of the future model <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> of information governance is able to take shape for organisations wrangling with how to digitally transform without impeding the creation, collaboration and flow of information. We are accelerating towards the future of work, where mundane and effort-intensive tasks are taken care of by AI, and your people are free to be their most creative and productive.</p>
</p>
<p><h2>Developing an Improved Business Model</h2>
</p>
<p><p>As a result, your employees will happily be up-to-date, and complete learning steadily and early throughout the year. Imagine if each of your learners had their own personal coach to guide them. Thanks to the power of AI, this is now possible within your learning platform. Good learning and development platforms offer a Content Creation AI and an Invites Engine AI. These would benefit from the results of Content Provisioning, User Provisioning, and Recommendations Engine AIs. These AIs are normally found within the Content Provisioning (RPA) and Invites Engine (CI) of a good learning platform.</p>
</p>
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<h3>21 Top Cognitive Computing Technologies Companies Worth &#8230; &#8211; Built In</h3>
<p>21 Top Cognitive Computing Technologies Companies Worth &#8230;.</p>
<p>Posted: Fri, 19 Aug 2022 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiVmh0dHBzOi8vYnVpbHRpbi5jb20vYXJ0aWZpY2lhbC1pbnRlbGxpZ2VuY2UvY29nbml0aXZlLWNvbXB1dGluZy10ZWNobm9sb2dpZXMtY29tcGFuaWVz0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p><p>Making RPA tools extremely useful to help streamline business processes and improve customer satisfaction. Chatbots are becoming one of the most effective AI applications, which are becoming a privileged way to interact with customers across a large panel of industries, including FSI. They limit human intervention and the potential risk of operational errors. They can also provide a seamless customer experience, with natural language capabilities, sentiment analysis, and process automation. While providing a great customer experience with personalized advice and recommendations, chatbots also save time for financial service providers, enabling them to deal with the new challenges they are facing. RPA is designed to automate business processes that are performed on computer systems, it is used to release manual effort and hence improve productivity.</p>
</p>
<p><h2>thought on “All you ever needed to know about Robotic Process Automation”</h2>
</p>
<p><p>With intelligent automation, you can optimize processes, eliminate backlogs, reduce errors, increase employee productivity and retention, and improve overall customer experience. Intelligent automation comprises both strategy and technology, going far beyond the rules-based, task automations of robotic process automation (RPA), which is traditionally limited to use <a href="https://www.metadialog.com/blog/cognitive-automation-definition/">cognitive automation meaning</a> cases involving highly-structured data. Cognitive RPA removes the burden of performing repetitive and tedious tasks, particularly those that require a high level of intelligence, from human staff’s shoulders. It makes it easier for organizations to streamline insurance claim processing, carry out end-to-end customer service, and process financial transactions.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="cognitive automation meaning"/></p>
<p><p>We perceive colour because we have three types of cone cells, which have their maximum response in (approximately) the red, green and blue segments of the electromagnetic spectrum. If we just had one type of cone cell all we would perceive are shades of grey no matter what wavelength of light the cell was most sensitive to. This would be very limiting as we can perceive around 10,000,000 colours but only 500 shades of grey. Whilst being complementary to conventional interpretation, Cognitive Interpretation turns the interpretation process on its head. Conventional interpretation is centred on picking horizons and faults to reveal the imaged geology, whereas Cognitive Interpretation is based on revealing the geology ahead of defining the important structural and stratigraphic elements. This process reversal makes a significant contribution to the productivity gains that can be achieved with this method.</p>
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<p><h2>How Does Intelligent Automation Work?</h2>
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<p><p>We then proceed to qualify, follow up, and sustain leads, as the technology helps to deconstruct customers’ natural language. At Hyperscience, we understand the importance of providing efficient ways to assist businesses with their switch to intelligent automation. We pride ourselves on the ability to provide both out-of-the-box, and customizable solutions, to allow your business to thrive using intelligent automation.</p>
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<p><p>Robotic Process Automation uses software, commonly known as ‘robots’ to capture and interpret existing IT applications. This enables processing, data manipulation and communication across multiple IT systems. In <a href="https://www.metadialog.com/blog/cognitive-automation-definition/">cognitive automation meaning</a> fact, process automation bots are generally inexpensive, with a great ROI and fast results. According to Accenture, the impact of AI technologies on businesses will increase labour productivity by up to 40%.</p>
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<p><h2>The Three Guiding Principles for Optimising Cloud Costs</h2>
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<p><p>And cognition occurs as the outcome of a causal interaction between signs of specific kinds within a suitable causal proximity and systems that are conscious with respect to signs of that kind (Fetzer, 1989, 1990a, 1991). Thus, successful communication tends to occur between two systems when the same signs possess the same meaning for them both, even though their actual behavior—their speech and other motor activity—may differ from case to&nbsp;case. Indeed, insofar as these are successively stronger and stronger kinds of mentality, the account of minds as semiotic systems implies that lower species should possess lower kinds of mentality and higher species higher. Homo sapiens thus appears to be distinguished, not by virtue of being the only species possessing mentality, but by possessing the highest species of mentality (Fetzer, 1993b,1994b,&nbsp;1996). Third, there is no standard definition of fairness, whether decisions are made by humans or machines.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="301px" alt="cognitive automation meaning"/></p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What are the three types of RPA?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<ul>
<li>Attended Automation: This type of bot resides on the user&apos;s computer and is usually invoked by the user.</li>
<li>Unattended Automation: These bots are like batch processes in the cloud and the data processing tasks are completed in the background.</li>
<li>Hybrid RPA:</li>
</ul>
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<p>O post <a rel="nofollow" href="https://fmarck.com.br/understanding-rpa-guidance-for-designing-2/">Understanding RPA Guidance for designing, delivering and sustaining RPA within the NHS NHS Transformation Directorate</a> apareceu primeiro em <a rel="nofollow" href="https://fmarck.com.br">Fmarck Sites e Comunicação</a>.</p>
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