Warning: Undefined array key "extension" in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1471

Warning: file_exists(): File name is longer than the maximum allowed path length on this platform (4096): /www/wwwroot/temp.codingburgas.net//image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/4gIoSUNDX1BST0ZJTEUAAQEAAAIYAAAAAAQwAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlkZXNjAAAA8AAAAHRyWFlaAAABZAAAABRnWFlaAAABeAAAABRiWFlaAAABjAAAABRyVFJDAAABoAAAAChnVFJDAAABoAAAAChiVFJDAAABoAAAACh3dHB0AAAByAAAABRjcHJ0AAAB3AAAADxtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAFgAAAAcAHMAUgBHAEIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z3BhcmEAAAAAAAQAAAACZmYAAPKnAAANWQAAE9AAAApbAAAAAAAAAABYWVogAAAAAAAA9tYAAQAAAADTLW1sdWMAAAAAAAAAAQAAAAxlblVTAAAAIAAAABwARwBvAG8AZwBsAGUAIABJAG4AYwAuACAAMgAwADEANv/bAEMAAwICAgICAwICAgMDAwMEBgQEBAQECAYGBQYJCAoKCQgJCQoMDwwKCw4LCQkNEQ0ODxAQERAKDBITEhATDxAQEP/bAEMBAwMDBAMECAQECBALCQsQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEP/AABEIASEBgQMBIgACEQEDEQH/xAAdAAEAAQQDAQAAAAAAAAAAAAAAAwECBAYFBwgJ/8QAYxAAAQIEBAMDBgYMBg0HDQAAAQACAwQFEQYHEiEIMUETUWEJFBkicdQygZGVlqEVFiNCUlZYscHR5PAYJDNESGIXJSY0NkNGR3KGlLLhJ4KFkrPC0jVTVFVXY3V2g4Sio7T/xAAaAQEAAwEBAQAAAAAAAAAAAAAAAgMEAQUG/8QAMBEAAgIBAwQABQQBBAMAAAAAAAECEQMEEiETMUFRBRQiYZFxgaGxMhUzQvA0wdH/2gAMAwEAAhEDEQA/APlUiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCJbxCW8QgCJa26fEgCJY9yrYdxQFEVbXSw70FlEVbexUt4hAES3iEQBERAEREAREQBERAEREAREQBERAEREAREQBET4kAREQBERAEREAREQBEsPFLdwKAIlj3Jt1ugCJt4ogCIlj3IAiWPciA+kETyPT2Pe1vEM12kOIIwnzANhb+OdSr3eR1exzgOIdnq67/ANyfRvP+ed5svpHBaIYa59rgg/8AVGoj5S1TQYIt92Gw0Md4i2t/6F6vyuJeDyfmstWmfLyP5JiJAiOhnPkFzXFh/uXtv/tazKb5Ir7Iy/bs4gWtLSQ5v2q3t3fzxfQartiPnI8R4Ac97nH2uN/zK7Dsy2Wn/N/8XMDa/Qt5fKvVn8MwSw7ork8eHxbUrPsnLj9EeBPQ7ReX8IdnQf4KftiqPI6xSQP4Q7bEnf7VO7/7xfSUNIF3C5sT8ZVwY4bC3MN/WvM+WxLwewtVm9nzcg+RvjRzpHEM0ANLnH7U+Q/2xZg8i9GDX34j2DSG7fajzJ6f36vpbJy3Zw2a22EX7o4ddLeQWawEHU+x0gxj4k8gqZYcS7Iux5svds+ZHoW4ly3+Eg3Zwb/ghzP+2rGmvIyx5YNd/CLa5rnlgP2pW3/2xfURrLAB3+LbckfhuUcxLNiwIkAi7mtDW/6ZVfRh6LJZJ1wfLuD5GqLHZr/hFNaOQ/uS/bFkyvkYIseK2D/CNa2/X7Uf21fS2DC7JnZEbsNis2msvNt25NJ+pc6cDPDUZXKmz5pHyJkTn/CVb9Dj76noTH/lKt+hx99X1E0lNJUdkTU8kj5d+hMf+Uq36HH31PQmP/KVb9Dj76vqKG94VS256psiOpI+XPoTX/lKN+hx99T0Jr/ylG/Q4++r6i6faqhq5sid6kj5c+hMf+Uq36HH31PQmP8AylW/Q4++r6jEW6JYdybYjqSPl16Et/5SrfocfflT0Jj/AMpVv0OPvq+oyWHcm2I6kj5c+hMf+Uq36HH31D5E2J04lG/Q4++r6ikbbKlim2I6kj5dehOi/lJt+h37anoT4v5SbR/qcffV9RrBUIB2smyJzqSPlz6E+J+Uo348Hn35UPkUYg/pJs+h599X1GcxWll13ZEdSR8uvQpRPykmfQ8++qnoVIv5STPoh+2r6iFngrXNATpxHUkfLs+RVij+ki0/6oftqtPkWIo5cR7foh+2r6hOarSzopLHEdSR8vT5FuIOfEe36IftqtPkXojeXEe36Iftq+oDmBROh2UujAi8sj5hHyMUUf0jW/RH9tVh8jLFH9I1v0R/bV9O3MuoXMXVhh6IvPk9nzIPkaIo/pGN+iP7YrT5GyKOfEW36Jftq+mhFuiicyxuu9DH6IPUZV5PmafI4RR/SJb9Ev2xWO8jrGbsOIdp/wBUz74vpg5vgoIjFNafG12K/msvs+aTvI9RBz4hm/RT9sUZ8j/Eb/SEb9FT74vpS9igiMurVpsT8Fb1eZeT5sP8kLEZz4gQf9Vf2tWHyRTx/n/H0W/a19IojAsaIyxUvlMXoretz+z5xnyRzxf/AJfG/Rf9rUTvJJxB/n7b9F/2tfRp7bHkoYjPBSjo8L8EXrsy8nzq9Es8f5/G/Rc+9qx3km3tNv7PQP8Aqwfe19EHtsVG9veFP5HD6K/9Q1Hs+ePonj/7eh9GD72i+hWn2onyOH0P9Q1Hs31sMR4hB2a4i57tbj/3WqQB8xcjbtAf+tEdb/dCtaNMEEbXab+GlgA+t5WTbzcOb1YXf/g3SPrcVXfs0UahXQ01CO6GLN1FzfZyC4YtdBiAtNnMc0NI6EbrZa3LiFNuhEbtDAfaG+t9a4CLDPwx1/OV9BpZXBWfM6qO3LJr2blITTJyUhTTbeu3W4dx5WXJSkk+LqiuaLNIY3xe5azhOO2JFfTidnExG+IaN1vMvC7KC0AWDGmKfa74K8PVxeHI4H0OiyfMQUyRsNpe5jfgucIbT/VbzKvaGvIc5u0Rxf8A8wclVsJ0JpZbdjRCHi525+q6l0AksH357Jvg0cysfc9JK+Sxm7Wah8I9q72dFJAgudEhh3T7q4+J5KoaInwdhFPL+oOX7+CypZpcx0Uixe4lVylwSgrZxVVlzCjdq0bPN/jVaW3+NcuTD+cKeqva/RCHMG5UVNOmaZ43aq26VmdxrIcsGgKulX2CfEobjXSLLeH1JbwV9h3Im4Uiy3glvBXoubhSLLeCWHcr0sEs6WWHclh3K6wSwSwW28FXT4K61kXQR6CrXMIUyWuuWc2og0nuVpYsjTfkqFvgpWzjiQFoVhZdTlg7la5tuWy6pHHEgdDIUZB7lk2PerTDBN1JMj2MVzCo3M3ssp0MqNzBzVtnKMR7O4KFzL7rOczZQvZbddTIuJhPh+Chezosx7LqF7FNFdGG5tuiiey/RZb2qF7SFKMvBVKJhxGdLLGiMI6LPe1QRGeCsToqaOPey5UESHzWc9ix4jeaui7KJI4+IzfkonNvsVmRGDuUDmKadFbVmHEh9yhe3qsxzOYWO9p5KxMqkvRjaSim0FF2yFM3xkIPmLHlqtb2xP1BTQB2rmufyeW6v+c4uP1BRwzdrog2O35nn86nYAyENO1m/wC7DH6XFedKR7MYmuVhpizESMRvE3+NxXBx2Bp1Drd3ycls9WhaIzof4Gx+ILgI8MabW3Jb+sr2tJJKKPntZFqbMSnx3SE7CjsBHZuHydR8i7Ylo8KZhQ48KxhR/uwP9Ro2HxrqSKCDsOZLvjW+YHnvPKc+Qe+0WBphtH9Qm/1b/Kq/iuLdBZV4NPwfNsyPE/PY2SGDoa94J0tMUnxPJSNZpA0fCht0Dxc7dXCz3iwsHvLrH8Bo2CuYPgGxFrxDfx5LwNx9KkWiGBdrdwLQm2+tZrR2bNPRo5+xRQIV3tZ/5oXPtKtq0cQJQgE6onqj9KqfLo6/ojZw8zHMxMOina529ivk9pqET+EFisvexU7XaCHC9x+tTyKjFGVytmxaFXsx3q5nrsa4HZzQ5V0lZz0V2LOzHeq6ArtJVbDqgss0hNIV9glggss0hNIV9glggss0hNIV9glggssLAeqp2Y71JYIW9yCyPsx3qnZ2UliqILIy0joVTlzUqo5t0BHzVpapNB7wqEELqdHKIixWEEFTEXVC267ZFqzHIVj23CyHMUZapqRHaYxao3MuspzFE5qsTIyRhvhqFzOazXtUERnVWJ2QcbMOI3ZQOFuiy3tUT2CymiDiYb23UMRuyy3tG6he23RSiyiUTCiMWPEYs57L8ljxGeCtRTJWYERix3s3Wc9ix4jFamUNUYURqhc3ZZb2dVC5qsjKiL5MbQim0IpbzlG3i4guPcB/uuWcGanuhjqHD5XNasTbTFaBsD/41mwz/GCf61//ANt15skepDk4ipgRo8Vw++c4/K5cDNMNyQPwj+hbBMNJAI6kfpK4iNCGi58P1r1NNKkjxdZH6mcRFh6bjxH1c1mYaqBplWgTJPqxLsiex2w+RRRWlzAT1BPylYxGl5sNibDwsvTlBZobH5PMjN4ZrLHwdxiGACwA6rCF+kq4fdHAnYPdv/ohcThaomo0iDHe4uiwWlkQnq/kD8i5ossezbzsIY+Pcr5DInjk4vwfb4ciywUl5J5ZpLDEIs55JK4KszHazhhA7Qtvj6rnJyN5pKujAWDANA7yeS1UOc9+p25PM+KY1bbIamW2oolhs3BU+gAXKshdFKuZHbMiOZpkTtJNtz6zbtWUASuOozgS+F7HLldI7lTVHp4vqgmWaT3Jpd3KQbclW64WbSGzu5V0u7lIq3QbSLS7uTS7uUt0uh3aRaXdyaXdylul1yzm0i0u7k0u7lLdLrtjaiGzr8kIUqEA9EDiQ2HchapCwdArSx3RdOUWWPcqEXV/gVQjuQ5RGWqxTEWVpYDvZcOeSMi6je1SkWVpClZGiAjvUb27lZLmX5m3j3KNzD7FOMiLTMRwKie3wWW5m6hewhTUiLTRhvZfooHt8FmOaoXssSrUyqRhPZzKgeOllmvYseI1TRXJcGI4KB7eYWW9t1A5pU4sztGHEZvyUESHcG6zXs5qB7VdFlUomA9ltlC9izXs8FA5qtKXwYtiin0D8FEBscEXaR3j81//ABLLYdV3fhNB+VwP6VhS7wLEggg7g/WskOMOGAOht+b9SxvuejHhGNHGpm377FcZMN69LfoXLRANB8NvqK4+YaCwj2/oWzC6PP1MNxxUVtiPYPqCw4rSBe3Tf41ykeFYkd11hxGDUe4n8wXq452jx5xo5vAVS83qbqbFt2Uzvz++aNvlF12HKsL3w3E3ABiO8b8l03LxYktHhzMPaJCcHA3635LuGnz0CNTRU4ezIsMOA8Lcl4vxfDtmssfPB73wXOpYnik+xg4imu1islQfVh+sbHr0+pcZCbuqRorpiKYrz6zjcqSGOixL6IUXznvk2TtFgruioFWxWd9wjJpj+znIe/wrtPyLnlrsqdEzCcejgtiF7KLPQ0rajQREUTUERF0BWxokODCfGjPayHDaXOc42DQOZJV3S910zxG5h4ak8GzGBZXF1Ol61X52RpMSWbNN84hSsxMw4ceIWg3aBCc/c2VmHDLPNQjZm1WohpsTnNq/TM2Sx5mRmjMR4+VklTaRhiBEMGFiGswHxnVFzTZzpWXa5uqECCBEe4B3QELKmZDiCw6x0/JYkwzi1sIa306YpzqdFigb2hxmPe0OPTU217XIG67A7KBh2gGXpFP1QKbKaZaWgC12sZ6sNo9gAC6y4ds8KtnXSa1NV7B0bDc7SJxsAQIjzqiQ3AkHS4BwIIIO1u7kVoi5SxyyYoLZF07q+e1+fwYXtjkjiy5JLJNWq7cevH57m2YJzQwvjXDprrI5pcSBNNp0/I1FzYUxIT1w3zaK0mweXOGmxIcHNLbghchbG0/JVyWiPp1Gj9u+HRpqCXTZEHS3TFjQ3Bo16tXqAkWtvdaLVqBR4HETIwo1KlJmBiSgunZuFFhNczz2nzEIy8zYi3aNEctDuY0t32XMZ8ZpTuT+Xk1i+mYf+zc42NCl5eSbE0F7nusXG13EAXJsCfiuVB4d+SEMS5nVJ/8Afs/2JrU7MM56iVKF3X91+jXC8m2OfiSXqNNhaJCPTxLxBUZqI90OMIoaNBhwwC0tJ1Xu4W2tdZ0jPyNVk4VQps5BmpaO3XCjQXh7HjvBGxC4XL7Es7jTAlExXU6DFpE1V5KHMxpGN8OA5w3abgfWAbEXWFhrFVHgz1WoHmlLo9PpNUh0immFPQNE3FdBZFcxsJhvCeHPc3s3AOOnUBZwKpcXbTXKNUcsElK/plyvZtpa6/qla3mLmVgbKLB89j3MjEsnQ6HTm6o83Mk2BOzWta0Fz3k7BjQXE7ALZgQb2PJeHPKhw5aWkMlsQYzlI81l1ScfScbF0NjC+GZQubcxGj4TSwRRbre3MhVy4RpSa7m75f8AlLuGDMDGEphA1DEWG3VOM2XpdRr9JdKSNQeTZohxtTtN+hiBgN7czZb1n9xk5F8OU7K4fxxVp6o4jnYQjy9AoUn57UHQje0R0MFrWNNjYvcL2Nr2WDmlm9wSQsPYTfmRiDL2qUidqUqMPwfN4U+xswf5GIyFCa8sa24u8tDW7XsvPvD1XsCYL4/8/pbOyeptOxVV40rHwpNVhzWNfTCHktl3v9UXh9hYDezCOhChuZ09QZAcVWS/EtKzr8tq/MCp0uwqNGqUq6Un5O/IvhO2c25tqYXNvte+y0jNvygXDxlHjWPl3OTmIMT1yReGVOXw1S3Twpvf279TWgjq1hc4dQCunZqp4Hxp5T/DNRyEiSUzFpOEJyFjio0ktdJxHkRRBZEcz1XRWkwtR6+o25LSBF5NfHuUWAcE44wFmjWaNh3NeRxTUY2KTWokOXmp0Fw0RmPiEF8IDUNIOztRt64Lm5nNvJ6Syk4vMiM9cZTuBssMTzNXqVPpMOsx3CRiQoIl3aNtTwPujS8NcwgEEEHkurKj5UXhTl6LLVmiTmLMQCM5/nErS6BEiRpCC1xb20wIjmthsNnEDUXEAnTYhdTcJmIss8WeUgzrr2UhlH4cmcNXgxpJgbLx4wiSwjxYdrAsdFDyCNje45rsHySmGMOw+EeFUTRJJ01WcQVLz+K+C0vmA1zYbWvJFyA1oAB8e8pbOUjZ+JbMDI3PXg2qGYTc2q7RcCVGLLRXVuhS0R0zCeyMG9jEgHS74Zs5htyB3Fl1rxK8c1J4dKZljlnl5XqrPT0OLQnVyfq9IfMxY9Biy7XuisiH1XTL2abjd13O67joSXgQpLyaOftJlGCFJ0/NaelZSAzZkCE2LJ6WMHQC52Heu8uOAUum5KcLleqQlZeUk8aYWiz05Fa1rIcBspdzojzsGAAk3NtktikbdxAZm5E8QOVmV+PH5pY8wfQp7H0vI0mNS6dFgTM5PNc5ogxWbGGy7TpiHkd7FegMJZ65cY/zSxdk7Q5ydh4rwUIcSqSU1KGDeG82ESE47RWbtuRy1t71508oxUcO1bBmR87hWdp85T35tUjRFkIjHwS4drexZcX71j8V7pHhm4v8teLSJFMnhXE0OLg7GUVjXEQ7tLoEdwbu67R8Xm46lSUmiLimehmZ/ZXx85KnkRDqc07E9GpRrNR/ixEpJyga1xfFjn1G2Dm8+WoLpqseUr4WqXiGJSpeexTU6PLxjBmsS0+hRI9JguBsfuoOtzb9WMcDsRddCYLwfjXMLg+4j+KWVpsyMWZvxJqYkoMO/bQKFLRbdiw35Fnah1vhNht2U3D/AF3N6e4VqRKYbzt4cKbgOFRXS9QptapEbt4DQwiOycb2g1Rb6tR0+sTdvMKfUkRWONn0EotaoOK6DI4owtV5Wq0ipwWzEnOysTtIUeG7k5rhzCke3ddI8CmW8XK/hqo2G2ZkUfHFPiTMzO0yq0l8R8sZaI64Y3WARpdquNrG453XeMRu+61Y5OSsy5Y0zFe3dQPFiVlxGhQPaO5WmeSsxHqF7R3rKc0KFzbKxMqaMJ7D3KJzNrLMe1Y7wb3V0XwZ5Lkx9BRSWPcinwQo2CqQTKVKMy3ql5LfYd1HqJZbquYxXKG8GdYLC3Zv/QVwLHHqseN742elNbJtEzrOBHf+/wClYsZoLN+Zv+YLJFrXHRRRmiwPUK+D5M2VbkcdGbdx25/rWFFZ8Id11ysWGL/v3rBiM3Pjb869HFM8fNGjjXgk3HK5v8S2nDVZ7SkPoxJ1wHdoBf7w9PlBWtTAbDa5xNmgG5XGUCrGXxDCmS4hkY9i4Hlody+Q2Kv1GD5jDJeuTPhzvTZl9+P2Oy2NLisiE25UUIG3NZEMHmvmMsvB9DBcEjdlcrFeOSztl0aDTaI09xC2RvK/eAVrX3wWyt5AeAXDdpiqIi4agqi3VUS10B1xm3XsSR5yh5Z4JnfMa1iqJGEaoABzqdT4LQZiO0HnE9ZkNl9g6ICeS5GRyXy5puDpzBErh2WEnUZZ8vOR3tD5mZLxZ0WLGN3viX31Ek3XD4mm4NBz8wZUqiezlq1R6jRJaM7Zom9cGO2HfkC9kKJbvLbBdn2JK0zm8UIbHXF397f9Hm4ccc+TK8q5TqvSpf37OlcjM5qZVK5Uci8Q1YzeMMHOjSkWYDSYdQlYLmtbHDuQiaXMERp3Dw4i43Wfm3Ktw1mBl1jiiRHSlUqWIJfDc+WW0TkhHZFcYcRv3xY9gcx3NpJ6Eg7DX6dlTlZGrOb9SodOpk/Ghshz9Sl5XVMzRc5rGQwGgue979DQBu42C16l4bxvmtX6JjTMCUdhyh0OdbVaLh9pDpuLHa0iHHnX76CA4kQWHa/rEnYXOWN5OtBbY1zfltcpLzz+DLszQxrTZPqyXw14V8W/0/JyOINuIfCFuQw1V/8AtpRYchIQcU8Q9bjV17pmHguk080aXd/JQI032/bR9PWIWw2sDjybcC1zfMr1v4QuEf8A5aq/X/30qqYxwdjShYwms0ss5iXnKhOSkCVq1CnnhkGowoJcYZgxbXgxgHuAvdjr2IHwl20owVpNwpP77n+OLQpuU5tWlk5S71tX5p0zEz9z5w9kxQ4ErHiGJiCuB8vRpdzfufa3a0RYruTIbC9pceZFwFs2A8uaRhDCFNw/NQJepTUvF+yE1OR4TXPmag5xiRJkkj4ZeSQeYAAGwAXDUZ2Vmf8AT5at1vB0CbqGGp4wo0hWJMCapM80Nc6G9ruR+A4EXa4aXAnZdku25BZ8soQxxwxTUu8r/ijXp8cs2aWeTTg0lGvC83fmzg6VFnpCqTtPrmJZScjT8zEmaXLdi2DFgyrWsBh2BvF0uJJfbk8ArIxLhfDeNKHOYZxbQ5KsUioQjBmpGdgNjQYzDza5jgQVBNEuxbT2uwsZhrJKO9tYIhkSrtTB2Av693jfbb1N+irjHGeE8vcNT2Mcb4ikKJRadDMaanp2KIcKE3xJ5knYAXJJsAVnnXk14uN0fTOn8vuBThNyuxezHeCsmaXKVqDF7aXmJiampxss+99UKHHivZDI6FrQR0sttzo4asjOIWXl4GcGXVPxA+TFpeadEiy81BF76Wx4DmRA2++nVpJ5grrPD3lIeDjEgqjpXNnzZlKlIs8907SZyX7eBD3e6AHQrxnAb6GgvIuQ02NuzIvElkzB/sel+L3tGargzCf9rpr+PuIabH7n9x2e3+V0c1FJPsXGdlBkLk/kHRItAyiwHTcNykdwdHMDXFjzDhyMSPEc6LEt01ONui8X8R8lUX50V2dzy8naMz6V27DhrEmEGRokxMS7Wj1Z0wruc7UfgxGgC5ADh6x9sZkZ0ZbZRzeGJPMHEBpUbGFYhUKjNEnHj+cz0UgQ4V4THBlyR6zyGjqQvLmcPlL8sMtOJOhZWsxPToeEqf57L42qEajz0SZp85DDhCgQg1nrguDbva2IPEdONUDI4Ksi8eS2buN+JjHmWcrlnJYlpctQMO4NhBrIslIQmwwHxmNAEMkQmANNnXLyQNr+pct8scAZO4Vh4JyzwzLUGhwY8SZhyUB73sbEiG73Avc47nfmtUx3xT5DZb5a0jNnG2YUpTMOYhgMmKTGiQIxmJ5j2hzeylg0xnGxBI0er99bmsDJDi54fOIqdmqRlZmBBn6rJN1xaZNSsaTm9H4bYcZrS9o2u5lwL72XU0RkckOGnIoYDruWP9jiQ+1jE1UfWqtTu3j6JqdcWF0Zzu013Jhs2DgPV5Ln8YZT5a5gYFh5aY2wbTqzhmDChQYVOm2ueyG2E3TDLXX1Nc0AAOBDvFdZ4946OFzLSuYiwri/MrzWt4XmIUpUacylzcSYEaICWthBsIiLsCSWEtbtci+/FVTyhfCHS8F0rHL82YMxJVqLFgystKSEzGnQ6FbtO0l2sMSEG6hu8AG4sSpWiDs3WS4WeH2l4Jw/l1J5aSTMO4Vq4r9HkXTUy9spUA5zhHa50QvJu5xs5xG/JbRmXlrgDOLDUbBeZuF5TEFFjxmTD5SZL2t7Rhu1wLCHAg9xVmXObeW+buB4GZOXmLJOrYcjNiOM6CYTYRZ/KNitiBroTm/fB4BA35brqCT8oTwfVLG7MCymb8q+aizIkmT3mMyKc6OTYNE2YfZWJ+/LtH9ZdW05TZ3jhjC+HcEYZp2DMJUeXplEpMsJSTkoIPZwoI5NGq5PXckk3XSmIeAbg+xTip2MqxkdSDU4sbt4olpublpaLEvfU+WhRWwXbm5GixvvdYWZHHTkVhnIWo53YUxjDqUpFmZui0Mx6XOshzlZhQXxGyz29kHsadG7zpbb75aNk1xkYE4nOHPEtPqmZ32r4+p+Ep+q4mj0ekTjBQoLXOb28EuaRELWlhtDe925tYqVxDUl2PV0hR6Rh2lSuH8O0qTplMkIQgy0nKQWwoMGG0WDWMaAGgdwVkRpK6iyAxhgHAvCxh3G+Ic8HYowzJSUSNExfWmRZQzDO2c3dscCLsRoa1wLjYWvsuHy648OFLNbF0vgjCeZ7PstPO0STKhT5mRhzbr2DYUSMxrS4nYNJBPQFXwyRUSicHI7ueCont8FomaXEdkbkriSTwnmlj2XoFTqEhFqcvDmJWYdDfLQ9Qe7tGMLAbscAwnU42ABJAPBZPcWvD1n3iGZwllvjzzquS0IzHmE3ITEnGjQhzfCbGY3tAOZDbkDcgXU+pEreOVHaLxbooX7i9llxmWJCx3Nsr48oyyVMxnDvChiM6LIeN9lG9pViKZIx+zRS6Si7ZCmdh1KV8+kokAkAlpLf9LotFF4ZMNzSC3bfpbouw2kO5LUcTSYlZ0R2D1I9zbucFh00udrPV1MLW845ru5VO/RRsNtlIOq2t0Y2rRjxG7X7v3/AELEissSPEfnXIRGgbFYkZtnX71qxS5POzwpWa5XY3ZSogtd60WwPsHNa8R90DhtZclVYwjzjwDdjTpYfALALe9e1i/wpnzmaW6d+jtigT32RpMvOXBfEZ69vwhsfrXKjktLy8nSWTNOefgntWA9x2P6PlW6L4/Ww6OV4z6vR5etgjMIiLIjV2LmAl7R4hbMBYBa7JgOmobCObwti3sjN+j7NhERcNYRERukDrLiEmsPnAIo1UpczU6rWJyDKYflJOJ2c06p31QYkGJ/izDLTEc87Na117jY6ZjbBfF7UMuoVJoGaGGWV1rYHaxJanvlY79Pw/4w572XJ3JEJt97aeS3SuMhzXENhODO2dCksN1Sbkmu5CYMaXhveP6whucPY4rs1xNw29rrdDUS0sYKMVL/AJcq/tVfseO9JHX5MrlJx/4/S6fHN/z+DpXOmHXaZkTQ4WMp+XmatKVfDX2TnIYDIb4zKjKmLE6ANuHG+2y5LiCw9nfiig0ZmRWKpWjzUOebGnoj4gZ2sC3q6XaXXaDuW/fD5DyUlm3lPmFjevZKNnIVTq9OgvFRkZiVJgPa3SIjA5w0vLS5oIHU+Btrcen1jIbFGG6dhqrxqhgvFdbg0ZtGnojoj6RGise5r5WKbu7H1DeE+4F/VI5KzE5wnHdFKSuSUlw0+e39FOVRywk4ycoOouUX9Sadd/7NfqdIzxh51YTgTeOsJxKr9rtS7OOKFGEIMESW7QOb5x6zidNiC0AA7brZcmMK8Q1CxtiufzexpT6xQ51wNKgyxs1jtV9TGWBhM02Gkudv1PM81XrfwhcINt/k1V/+2lVgYrOKczcxatlfJYjj4dw5QpSRnKrHp5tP1ETHakS7Ip/kIdoR1Ob65vYFvNWTyyy44waik423S4+p9v34KsOCOHI8qlJyU6S3cN7V/kUydjNnMfZzR5CYhva/FMu2HEaQ5mptKlGncc7OBBHeCFrmWGC+Likxq2cZ5mYajQpifMWTbNyL50thb30Fj4XZt5WYdVrdOu3YnzHyY4cZXD+Eam+FQZerRjAkoEtKve0WID4sRzQSBdw1Pdc3N+hI7P1agCDfqs0tROCclD6Z1TkrfCq0/wCzZi00MrjBz+uFtqLpfU7ppfxZrGA4U/KS1Vpk/L13VKVSYDJurR2RXTbXkRBEglh2gjXoa0gFuggi4ufIXlQnSr5XJOVxrEjw8uY+P5JuLXNLhC801sv2pbybo7X9G69jzoguxdTS7FbpaKyUmSKMIrAJxpdDBjFp9c9mdrjYdpv0VuPMAYLzPwrO4Ix/hySrlDqTAyZkppmpjrbgjq1wO4c0ggi4IO6xZVbs9LDHati8cHkvyidD4bJfg4r8aJJYTlo0GXl/tSiUxkuIpmu0Z2bZcsG7CzUHW20ajzsV1DiqoSFEonAFiCsTcKSpsrOwGR5qO4MhQi+HLhut52aNjuTyBPRejaF5M/hAojahCfgGo1OFPS0WUhQ6jW5qO2SgxBZzZe7x2Zttr3eOjhcrs/GPC7kfj7KOmZH4swY2fwnRIUKDTJd83GEeT7MWY+HHDu0DgNr6txcG4NlXTLTzh5RXFWHJnMnhlw5K1uSmKmc0KXPeawo7XxBLtjwmGIWg3DdT2i/X4lZxD4bwNKeUYyIbWaFRIUlVaJWHTnnMvBbCmo+mLYxNQs997Wvc8l2nhTydvClhGZo1Tk8DVCcq1BqkvWJKqT1amos22YgODoIL9YBhtcL9nbQTuQV2Jnpwz5LcSEjTJLNzCH2WfRor4tPmoM3GlZiWL9OvREhOabHS27TcXaDa4C7tYPJ2MJHAUx5UCjUnOSXpgwzLYIgfaBLTzGCmmPc6xDafuZfrEew72t8Fk8XUjlvSuLHhujZOStIlszI+LoDKnDozYbYj6FrZ25m2w9gwNMTSXblva6b2K9NZgcJuQuaGXNEyuxvghtSo2GpdktR4j5qK2ckmtAAMOYDu0vYC9yQ624K4/I3g24feHiqx8R5eYPjGvTMMwolYqc7FnZzQfvGOiOIhjv0NBPUmwTaGeeuGTB+GK/5Q7iZrVcoUlUJukmQhSUSZgNiiAI1+0LQ4GxIhtF+dgR1WFwN5b5fw+LziqacHUdzKNWKdLU9j5NjmSsKO6ddGbDaRZoc6Gy4A+9XsLBuSmW2Acw8XZp4XoMWUxJjh0J1cmnTsaK2YMO+i0N7iyHbUfgAK3AeSuW2WmMsZY9wdQ4slXMfTMCbr8y+bjRhNRYXadmQx7iyHbtYmzA2+re9hZtI7j5rxJeu4c4ZONHDeXsGLJ0+nZgPZ5pK3DZeSdF0xwxo+C3Q1oIG2kW5L2Dllh7g9fwcUjzuUwg7ATsLQ31WYjiAIpf5uO3dEd8MTIfr5EOD/AIPRdx4JyRyvy8jYymMMYZbCGP6jEqeIYcxMRZmHOx3hwfdkVzmtaQ9w0tAbYnZdPyPk5eEWm4ubi2Xy3jhsOaE42jOqkw6liODcP82LtJF/vTdnTTbZdUWN3B5o4Q6LRKt5LfM37IUqWnhKQ8SzMp5xAbEdAitlPViNuDpeB1G4XYuQNOwhD8l/UKhSpGlNrMXLyuMnpiXhQxMvFpj1YjmjUeTefgvVOWWR2VmTmA5zLPAGF2ymG6hHmI81ITMxFm2RXRwBFDjGc4lrgLab2tfvWi4G4KeG/LP7a24IwRM02XxnSpii1aUFYnHwHykYgxIcNroh7O9ubbEDYEBS2NlbkjwjXDJnhF4PJXH7+zyqj4mmG4ve9xEHV5wTLCNblD0+dXvtYeC9G+UaovDrIcKtSmYEhhWUq0B8r9qESlsgsmfO+0boEuYXrFuguva407+K9HSWQuT0jlDByF+0qWm8CS0F0vDpM7FiTADC8v8A5R7jE1BziQ7VqB5ELq/L7yfvCrlpiuWxrRsAzU9P054i05lWqkedl5FwNwYUKI4tuDuC/UQdwQd1LpyZzfE8/YwwtOY24vuEyk50UltRrDsvIE5Wpadhh2uow4USI/tW8iRFBJFrXC2/iuodDw1xzcMFZw3SJSlzlUnqjKTsaThNhPmILOxDGP0jcARYg36OXqTEWUeXeJ81KBnPWqLGjYtwxKRJGlzrZyMxkGDE1lzTCDgx1+0du4E7+Cxca5PZdZg44wjmNiyiRJyv4GjRo9CmWzcaE2WfF06yWMcGxL6G/DB5e1TjikQeWKNun2N7UkEczyWC9qy5hxc4lY7gbLXG13MOSm7RjObdQvBBWSR0UT296tRS1Zj2Pcil0+CLpHadgsuCuOxFK+cU9pA9Zrxv7QuQBtuo51vbScWGBc6bj2rzYPa7PYyK4tGhtG4BJuNipgbK+cg2Iis2BFr/AKVGw7WK9HukzzJWmIm9yuMq8x5rKOeDu/1G+1cmd+a1mvx+1mewadoQsR4rZp6lIw6xuMLOCiNAI7xsVR7LC9lK4XJB77qtg5pv0XrqR81KJk4YnDT63LxtVmvd2br/AILtl2qLEXv4Lpp92kEG1t7rtijTwqVMl50c4jBr/wBIbH614fxjF9Uci8ns/CMv0yxszURF4Z7TM6kQdUyYp5Nbf4zyXNLApEHRL9o7m87H9/jWeh6uCO2AREQuCIiA0PNXBVaxDDpGKcGTMOXxVhaaM7Te2NoM2xzSyNKRT0ZFYSL82uDHdFr8fiYwBI0KovxA2aoeKKZCIfhupQzBnY0xyZDlwdpgPfYNfDLmkEHZduLrnP3DE1iLLqbm6RIMmqtQpmUrkkzQHPiPlJiHMGG087vbDc0W6uWnBKE5Rx5Va8f/AD9DzdXinhjLNgdPyv8A2vuv5MfJzKOm4ShzGPMRU2Wi47xK+LOVqfDRqY6K4P8ANoZ5NhwwGM256bm5K47F8+zNLMzDuD8LOZHk8DVmXr9cqLXaoUGMyG8QZNtvhRXCJqdv6jQL8wF2LSqxR8f4RgVakT5jU6tSeqFFgvs4MiNsbdzhcjwI35LSMgcg6PkFRKtR6PiKo1f7LTvnkSJNhrdFm6WtAbte3N33xtysArOtG55c0nvXEV4+/wCF2RW9PJrHhwRXSfMnfLfdfl92ZFeseIfCA1c8NVfb/wCtKrjq3U2ZW5yzOLsQtDMN43lpCkGo39Snz0AxRCZG/BZF7Wwedg4AG1wViRcUw69xBwp+i0ioVSn4ZlDhybnJOF2kKXnptzYrw8/gQ2QIYe4X0uigFbZnTlTTs6Mvp7AFUrE1TIU3FhRhNS4Dix8N4c27Ts9txuD4bgi6nujGWOGbiLik/fe7/bhlShPJjyZNP/kpNx9Okl/PKLc18pMH5wYbMjWZOXfUJeE59IqYbeJJRyAWRWHrZwaSNw4Cx2UGWmaMhiKlSFHxNMwKfi6FNTFJnqa86XPnJZodFMMH4THMLYoPLS8exc/gXCtOy1wJSMIwapGmJKgSLZczc48B7mMbvEeeQ6nuAV+FZaNHi1HEJxTCrtPrEyyepDocGGIcpKmDDb2cOIzeIHOa5+sm/r25ALM8icXjbbSfH/fv3o1xxNZFlglGUl9S/p/t2syKLAqE441XElEp8rUoMWYgQHy8TtnCVMT1PXLQQXNDHOaNgdt7LHx3mDgjLDDU1jLMPFVOw/RZIAxp2fjthsBJ2aOrnHkGgEk7AFbAvMPHvkRUc98vsL0vD+MsPUauUPEUCo0uRxBGayQrEwAQ2UiNPwy7o0A3BIsqJOzbCOxUdo5R8TGQ+e8rPzWU+ZlKr/2MaXzcBgiQJiCwX9d0GM1kTRt8LTp8VtWAMxcD5p4Yg4zy7xNJV6iTESJChT0o8uhPfDcWvAJA5OBC8c5J5gSVB4h5/KrOHhawvl1mzVsJRo0jW8MxGRpKpyMNsS4YG7wruZE2JLjoAcdmrYPJWVOmy/BRShHnpaGaVVKuydESK1plnecOeREv8D1HNdv0IUNxM9DQ+IbJKLgSrZnQ8yqM7CtCn3UypVURXdhKzTXMa6E82uHAxGDl98FrNO40OFqrY7kstadnbhyPX6iIRlYDIr+xiuiAFkMTGnse0OptoevXcgWvsvnnQ52VqPksM8qjIxmxZeZzLmo0KIw3D2OjyBaR4EELsfjAyQymwx5N3CGIMO4DpFPq0nJ0Cbh1CXlWsmTFmIbDGc6KBqdqL3E3JTcD2XhfjD4ZcaZivyowvnHQKhihsQwGycN8QMjxRf7nBjuaIMZ+x9WG9x8FzmP+IjI3K6uTOGcw80aDh+rStN+y8WUnpjs4glLloiAW9a7mkBou4kWAJXiLygOUGWuVPBjgTFOXeDaXQa5hyo0V1PqsjLtgzcN7oepzzFbZznFwDiXE7i62bMTAuFMxPKt4Up+NqFJVmSlMtoVRZKzkIRITo7IkzocWHZ1i4mx6pbONWejJDjW4U6rgCezNks8MPOw/TYzZaaixDFhzEOK65azzVzBMEuDXFoEM6g1xF7FbHhLOPLbPbLWt4nyWzSpk3AZJTEEVaWbrfS45hEsiRZeIA9jmXD9ERo1BvKy8b4dyLyii+VTxRQ4mAKM6jyOEYFbgUzzRplGzr4cNpi9jbRf1nHlzJXIZWUGj4C4/OI3BWDqbL0ehTOXoqMSnSjBDl/ONEA6wwbA3jRbW/DK7yjlI2+h8S9O4a+DeWx7jTPei5u4kjPn/ALBTzpmJDZWo0OM0OlmRC0vcYYfuTv07l3Xw18SGBeIvAkhWKBiajTeI4FMk5zEFLp0RzhTI8drvuTtW49ZjwNyfVK8PYDwlhrEHkeKlWK1h+Rn5+hwapMU2Yjy7YkSTiOn2hz4RO7CW7EjovZPBrg3L3B3DZgXFFBw7RKNN1bC9Oj1moS8GHBdMlkG+uPEFr2LnbuOxJ8V1NnGuODu91781HEFxukpOSVSlIU/TZyBNysduuFHgRBEhxG97XNJBHsSJcXV8TP8AqQkHfdQvuNrqY8lC9WxZBkDx4qCJe6yHKKIArEVSRA4XUTtjaymPNRv5rpVMx3jqFG7xU7h3KNw33Vq7FRDsik0N7kXQbwHd6ryUQf0V99t15h612a3PyohR40Ag6Lm3s6Lh4jXQ3Fjr3C2itwgCyZaL3Ol36Fwc5B1s7Zvwm8x3rdjlaMGWFPgwYsdsGC6K47NBK1CO58aI6M/4TySVzdbmezl2wGkXibnwAXBgEr0cC2qzx9W97S9ETmKIgtJ7uqyi26hiNWyEzycsKMeO2x3HxLecvp3tadHk3HeDF1NBO9nf8QVoz33+Fz6LnMCThlq32DnerMQnMt4g6h+Y/Kqtdj6umf5JaCfT1Cfvg7HV8GGYsRsMAkuNtlZzXKUeWJBmHttvpb+tfLn1mKO6dHJQ2CE0Q28m7BXIi4etVcIIiIAiIgCHfY7hEQHV87lFXcO1iZr+TuMWYZfOxXR52jzcn53SZmM7d0QQtTXwXk8zDeAeZaTuo5vBee2LYX2NxVmdRKDTHm0x9q9LiQ5yOzkWCPMRHiFf8JrNQ6Ec12oiv+Ynw3Ta81z+TF8hht7bSfhNpfg4jCuFKBgqgy+HcNSDJORlr2a25c9xN3Pc47ueTuXG5JWB9gMQ0GgtpmD6u2Ym/PjMOjV6JFmh2D4pfEhgtc1ws0lrLk2s291syKrdJu27NCwwUVGKpJUq8HEvplVj1+JPR612lGfI+bGkOlWaTGLyXRjEPrG7SG6Pg7E7k7cnAgQZWCyWlYbIUGG0NZDY0BrQBYAAchYBXouNtk4wjHsF1hn9w4ZYcSeF5XC+ZMhOn7HTHnlNqFPmjLTlPmLWEWDEsQD4ODhsLjYW7PRcJHnzIPghylyBxdMZh0+t4txfiyPKmRh1nFNUE7MS0s7nChaWMa0HqSCeYuAbLUK35M7h0q2PKjjGWqeOaTTK3MmbquF6XWzL0eeiOJL+0hBna6XX3aIgFthbkvWSLiiDz9TOBvI2j5DYh4c6eK/CwfiarOrM5DE8zzhkcuhHTDf2dmsHYQ7DSTz37tuzL4bsuc18lpPIbFESrswxIQZKXgmUmmw5rRKta2FeIWEHZov6u/gu00JslI4zq3O3hzy6z8yxlcpcexKsKHKRpaNDMjNNgx9UBpay7yxw5HfYXUsXh+y/jZ8SnEZEiVU4tkaF9r0JomW+aea3cd4ei5fd531fEuyCSSqErtEXKzreTyCwHT8+KjxFwX1T7bKnSGUWO0zLfNPN2BttMPTcO9Qb6viWLJcOmXcjnBi3PCFFq/2y40oooFSBmmmXEraGPubNF2utCbuXHrsu0CepUTib7IRujrDL3hsyqy5ySi8PdNkJ2pYMmYM1LzErVJjtokaHMOc6I1z2BhG7jYixFhY3WhYL4D8lsA5f47yzotdxvGw9j+Qh06blZ2tiMJCFDMRzPNLsHZm8Qk6g8HSAQRcH0WeSjeTyXUiO5o0nJ3KbC2ReWtEyswbHn49JocF0KDFn4wix4hc4uc57mta25JOzWgDuW2xDe6lJUT+5XRXBXJ2yIqN/VSclE87qyKK5diAqN/VSOUb+qsRUyLbqonjnspXb3VhHRdISITyVjm3UnJWuVkSpkegor0UjhtQdupA/ooGvV4N15slR6qKzMJsxAfBHwnDY9x6LXbBri0ixGxutjDt91wWIG+ZB86PguaT/AM4K/A7ltKc1Ri5GhV6zqm/R8Bps34jusNg2usuKztxZ255g+KxmtLbtPP8AMvYTpUfOS5k5exYKCMN1lFm11BFZfcrsJcmfLG0cbGBGyrSZwyVXlJhxsGRW3PcL7q+MBdcfGBLrAXPRehGO6Diea24STXg7zlILpiO1rHXad3HpZbHDJhsEMDYC1lrOFprsqXLRXnUI0Jr3eBIFx8RWyMex4Dmm4PJfH5IOD2vwffaanBSXcmaQUUYJCuDx1VZrT9lyKgc0qvNCQREQBERAEREAREN+hQi2EREJBERAERLgblBwL2VjnX2sjnX5K1CEnyFaeaqXBWk23QiWudbaysQm5TouoiyhKiedyr3O+WyiJJO6kkRZaeRKied72UjiBdQu3BVqKy08iVC43KlebBQu6qyJGRE5Rv6qQndRv6qaK2RHmrSLK481Q966VyIXCxVpF1I8KO/NTiVjT4oqXKKYo2K/cVcxyia4bK+/ULC1ZuJ9QXC4qcIsiyTBAfFdcE9AP+P5lymqxF1rlbme2n3MJ2hAM9nUqzBH67KdVkrE17NShgh1nAgg/IrZmDpcIzfgu5+1clUpYMimYYLNdzt0KxywRIZhnuXoyn5PF2cmB02ChiA9yyCC06Xc7/L+/wClRxACOe/Vdg/JXOJxsy2xNxyVkvJn++Xjf70Ec1nwZPzmIQ8ksbzPipo7NNwO/wCRelgnfB52TC7tm7YRmO1osFrj60Nzmnfxv+lbHLTcSC6w3Yei07BUQup8aHe+iL+cLaIbh38914OshWWS+59bop3gi/sc7Diw4ze0h8uXxq/muIl4zoJ1Nde3ToVyTHhzA8HnzsvPkqN0XZKqhxCsue9V1d6iSJNY7lXUO9Rob9EJbiW470uFFcqocQh2yVLHuUYe5A89UFklj3JY9ys1+Ca/BBuLlVW6wrS9BuL7jvVNQCjJKb9UDkV7Q8rFU3RCbIRbsWVCbdFTUqE96HASFY432VCSVab22Xf1Odg4tax0R7w1rBqcSbABazifMfDeEqNM12pw5yJKy1g4wYOom5AHXlc8zZZGJqiWgU2G7b4cS3UnkFSDh6m1XDkxSatLiLAqsJzJhp5ljhYD4uYPf7Ftx4IQgsmXm/6PPy55ym8eF1S/Xkmwxiug42ocLEeG5wTMnFJaTbS6G8Wux7fvXC42XIuIaLleS8iMRT+W+bUxgSdm3OkqhNRKZGa7ZpjtcWwogHQk7ex3sXrNw1EsPPkAp6rSfJ5dnhq1+hDQav53FvfEk6f6kbtR6FRk7mxXnDDfEJmBUeJaJQ6g6m/2KKzVZ/BNEjsgtEf7PyUGHGil0S/rNiETcJrfwoDthbfsjHXEJllgHE81hCfi16rVemy8OcqstQaHN1R1Ll4mrRFmzLscILXBjiNViQCbWWSM0jfsZ2HEULjsd11xi7iZyRwjJ4Wnqhi8TsHG8jGqGHPsXJxZ19UhwuzDmwWQmlzn/dWepbV8Lb1TbFxRxRZKYSxTUcK1WtVKKaHHbLVypSdImpmm0eM4Ahk5NQ2GFAdYi4cRbraxU+pEh02/B2Z3q08lxGC8b4YzIwhSce4MnzO0SuS4mpKOYboZfDuW3LXbjdp5rlnnZXR7FMuHRGeao5VVDyXSqRaeSiUpUZBHNWRfBApYdyIikDmAbdVI13ioFc0lYqo2smfEbDYXv5AEn2Bag6K6NFfEfu55LifaufqsYw5CLv8ADGkLXINiTbktOFVHcYdXL6lEy+xbGhvhP31dVwsRj4EUsibOabfEudZexsbLDq0v2zO3hts5g38Qik7pmdw4s4SZZ6zXhvwtj7VFDhOjvbCh7k2sfDvKyXNMRhhg7nl4nosySlhAhl77B7tyO7fl8R/Or0/CK4Q3Pks83bBZ2bALW38T3/v4Lj5lnO19u/muYeARfme7lbu/UuNnGEAnn49VuwTplGqx7Vwcngh9mzcM/hNP5/1LbGuAv+/Xr+/ctQwa4tjTYLg34B8Da/Lx6+y62ppsdI2Ft/3/AH2K8/W/77PU+Hf+NGzMhk87n9/3+pZMGYfCN2kWPPu9v7+KwWuAPxm9/wB/32KmY9p5W63/AH/fosUo2ehF0cvDih7Q6/NXgjvXGwIul3rHYnc9x8VmBwWeSplq5JrjvVQbKFVDiFE6TavBLhRdoBzVdbUBLcd6KwEFVvZBdlyK25S5QFyK25QnvQF1x3qhcrC4BNbUBdcqntVmtUuUBeXgct1Y43VFQkBDllVa6I1jTEcbNYNTj4DmhJWPONdGlo0Fhs57HNHtsprl8kMkqi6NS9aqVJtzZ0zEAvztcrZqnXsP0eO2WqNSgS79PqQzcu0jkbALVmzbqBH8/mpaI4SrXRDDbsSQDYC602iy01jjFRmZ9pMOJE7eZc3kIY+9B+QL2p6aOo+qbqEV+TwIauen+jGrnJ/g83Y2xVITOcVcqOH56FGmJKs9vDbCdch7Xgt+sL2fmnXMT4dwHiOvYGw/HreI5SnR4lJp0G2qYnNJEFvrEC2stJ35ArHl8r8tJCo/ZaRy/wAPS86H9oJiHTYTYmq976g2977+1cxXJKNVaROU+BMugRpiC9kOM1zmmG8g2fdpB2Njsqdfq4atQWNNbVXJf8M0WTR75ZWnud8HjipcJXEThLIakSFDz5i1quYOiwMWSVAOHZVgma1CiecxIfnmsRXa4jorNZtqDt7ArmZvBWYOFse4xxpGpWdEKQzAm5fEklBwXUJNjpSM6Tgw4kjOQoouyLDdDIEQOMMtJHq6bu9KxKNWWRoz4dR1QnzpjshxZqKAIRaA0XaAQWkXDbkOvuR0gdQMTNmGRhi2YAZPGZ0vbcGCXtPY7WuA0OAJuQXX35LzenR7PUs6Sy5yVq+DMy8k6rLYMq0pS8O4fxVFqX2RqEGejUyen4spEbCdGhtY1xcRHsWMAFnDuVMEnMfJzDeLsoX5EVjFUxUq1WJ2l1WUdL/YyqwZ+PEitdPRHv1QXN7TREux1w31dWwXc8Gi4pgyplxXml7mGG97osUlx0AdtvchznC5YCA2/quvuasolfM1Dc+riFAc46oTJmK4y7fWBYxx/lLhzfXdpLS3a42UumQ6lOzSuE7CeI8BcNWXeC8X0iNS61SKOJedk4xaXwYnavOk6SRexHVdpvd4KGmwZuVpstLT80ZqbhQmtmI5/wAbFt6zrdATcgCwA2GwUh5laUqRnly7A5KjlVWnmhQyiterla9Sj3OFiIimDkmvPVXh1woNRPVXNfa1+iztWbEcZiOORDhQA47kuO/xLi4HPkp65F7SeLOrGgfpUEHldaWlGCSPMyy35WzNBVbtdcO5EWPioQ63NZEtB84jNhtPVUN0Tit72mBDpnYR+3LfuQ/k/FXTDdEUkj4QJ/X+hbRMSkONLdgwAEfAPcQtZm2FjbvFix1jfu5K3G00XSxdMidYghx9bfV425/oKwZuHa/R19/0/XYrM1W9Ui53N/ZsflH5ljTLDpNzcjr7P1hbMbox54XFslwmCyYmm3a02YSD0O/5jb4itnY4jZlwG9D97vb6jt7CtcwzDLHzL3N1EubpPfYG4+Nt/kXPNPIPufH8Lb/vN+sLPq3eR0atAtuFGW0+qLA7d/Tp9R9UqZryRcW9p6Hl/wAD8SxGGxH329wRyO2x+Nv1hTNcTbqSRYjkdtvlH1hZTamZLXdSbkczbl+/I/Es2Vi62mG513DcE87d3tXGtiO2dfUL7bbfueXtUrHkWfqBINx+j9RVco2WRkcpcpqKhZG1gEKQOBWfbXcnZdfvCrcK290SjqZffxVQ7xUaLjQJdZTWVHc96rq712gXFxVL+KoSLKgNilAu3KKhd3KlyuUcsuVLhWl3irS/uXaFl5KtLh3hWFxKtLihFsuc/wAVaTcK0nvVC8BTUbIWUishRmGHHhtiNd0cLhYklTpCmMfDp0nBlmxSC/smaS63eslzr81YXK3c0qvgg4RclKuSriAVY51uSOeoySF1I6C43J6qJzhaw+pVc+191GVIi3yOdr9Fa4737kJKtc7bYqVFblZRzvrVl7pclFIjKQKsVSblUXYlbCticlcrHkFTXBwj38UVyKVgyg6yu1bLwl6X/hu/EXMr5ukPfFX0wPDeOWBcyb9P7XSHviydSHhm3pzXg9iTcbtp+M/oXkD2KWHYAbrw23ysnD0HFzsFZh2JJ/vCR97U48rZw6j/ACIzF/2CR97VuTPjdbWefHSZrbaPcYcDuuapkuIMLtiPWfy9i8EQPK4cOTYjXRMD5jFoNyBT5G//APYuUb5YfhsbsMCZl2/+GyHvioeSL8mvBppxdyR7ya63Lbe64qtSXaN84aLi1olh0714l9MTw1/iJmX83SHvir6YnhpLS12BMyyDsQadIe+LkMsYu7L5YpSVUeuWm9t77An4tikQHRYN3AIv4t/4FeJ43laOHIxH9jgrMbRrJbenyN9JHI/xtPS1cO5aGuwTmKd2n/yfI8xsf533LctTjTuzHLTZZKqPcNAa6FCjG99UUBng4AOZ8ouFyrSSLQrluwaTzAJuz5Ddq8HyHlcOHWShOYcE5jFx3BFPkeYILf52ss+V64bxq0YGzJAdrFvsfIbAnUP550cs+TPCUrstwYJ48ai0e6obgR9yOkG3PoCbj5HbfGp2G7Qb6ARuPwQTY/8AVd9RXhD0vvDfqJOBcydybgU+Q++Hrfzzv3V58sBw3ucC/AmZVzYu/tfIb3FnfzzrsVW8sH5L1jl6PeDX78tPPUP975DupQXffgdbgdT1/WF4NHlg+G4NGrAuZTnC2/2OkNzy/wDTOoVw8sPw3dcC5lbcj9jpC9xy/nndsnUg/JJQl6Pe8vFAfpcbBxtfx7/jCywe5fP/ANMTw2BthgTMv5ukOXT+eLJb5ZPhpDQHYCzN2H/q6n++Kqcoy7E1GR74ue9LleCPTKcM34hZm/N1P98VfTK8M/4hZm/N1P8AfFXa9ndrPe1yq6yvBHpluGj8Qczfm6n++IPLL8M554AzNH/R1P8AfEtextl6Pe+sqvaeC8EemW4ZvxCzO+bqf74npluGb8Qszvm6n++JuXsbX6Pe+vZU1leCfTLcM34hZnfN1P8AfFT0y3DN+IWZ3zdT/fE3L2Kl6Pe+sqhcSvBPpluGf8Qszvm6n++KnpleGf8AELM35up/viWvY2v0e9r+KoTYc14K9MpwzfiFmd83U/3xD5ZLhnttgLM75up/vi6nH2c2s95k36qmoLwWfLI8NHXAWZo/6Op/vip6ZDho6YDzN+bqf74pqUPZFxke8iblWm68G+mP4afxDzM+bqf74npj+GnpgLMz5ukPfF3fH2RcJvwe8CbcyrXHuK8IO8sbw1HngLMv5ukPfFYfLFcNZ5YDzL+b5D3xFOHljZL0e7nO8VG568KHyw/DWeWBMy/m6Q98VnphuGz8RMyvm+Q98U1kh7OPHL0e6ye9WkrwqfLC8Np5YEzK+bpD3xPTCcNtv8BMyvm6Q98Ut8PZB45+j3OXWFlZuvC58sFw3E3+0XMr5vkPfE9MDw3fiLmT83yHvidWHsj0p+j3QqE9F4Y9MBw3H/IbMr5ukPfFT0v3Dd+I2ZXzdIe+J1YeyDwZL4R7mReGfS/8N34jZlfN0h72rT5X7hwO32j5kfN0h74pRzY/ZzoZPR7mc7uVi8N+l84cD/kNmT83yPviel74cPxGzI+b5H3tT6+P2c6GT0e5EXhv0vfDh+I2ZHzfI+9onXx+x0Mvo+QyXPeiLyT1hc96XKIgFyiIgCIiAXPeiIgFz3pc95REAREQBERAEREAREQBERAEREAREQBERAEue9EQC570REAREQBLnvREAuUREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAf/9k= in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1519

Warning: file_exists(): open_basedir restriction in effect. File(/www/wwwroot/codingburgas.net/wp-content/uploads/et_temp/9k=-1080x675.) is not within the allowed path(s): (/www/wwwroot/temp.codingburgas.net/:/tmp/) in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1540
NelsonHall names DXC a Leader in Cognitive & Self-Healing IT Infrastructure Management Services-2023

NelsonHall names DXC a Leader in Cognitive & Self-Healing IT Infrastructure Management Services-2023

ignio TCS’ cognitive automation product celebrates 3rd anniversary with spectacular growth

cognitive automation tools

The second, and ultimately more important, channel is the acceleration of innovation and thus future productivity growth. Cognitive workers not only produce current output but also invent new things, engage in discoveries, and generate the technological progress that boosts future productivity. This includes R&D—what scientists do—and perhaps more importantly, the process of rolling out new innovations into production activities throughout the economy—what managers do. If cognitive workers are more efficient, they will accelerate technological progress and thereby boost the rate of productivity growth—in perpetuity. For example, if productivity growth was 2% and the cognitive labor that underpins productivity growth is 20% more productive, this would raise the growth rate of productivity by 20% to 2.4%. In a given year, such a change is barely noticeable and is usually swamped by cyclical fluctuations.

cognitive automation tools

But it needs to be clarified how consequential the technology will become. „We may increasingly turn into rubber stampers with a human veneer,“ he said. In other words, human workers merely approve a machine’s work rather than contribute to completing a task. „Fundamentally, it’s a set of AI-based skills in which they prescribe to planners what to do based on the demand system,“ De Luca said.

Cognitive automation market will grow big

The target-state operating model should be a natural extension of the existing IA operating model, but it will have some key differences with respect to the interplay of people, process, and technology. The IA function should consider where it stands with respect to these three components, as seen below. There are three key steps for IA organizations to take as they embark on their journey to automate audit processes. ​As illustrated below, there are many ways IA can leverage automation capabilities throughout the audit life cycle, including risk assessments, audit planning, fieldwork, and reporting. Overall, the feasibility and usability parameters were reported to be relatively high across studies.

cognitive automation tools

It then automatically generates the appropriate automation artifacts, including bots, scripts or workflows that might use DPA, IPA or cognitive automation components. Hyperautomation is a framework and set of advanced technologies for scaling automation in the enterprise. The ultimate goal of hyperautomation is to develop a process for automating enterprise automation.

Featured in Development

One major application is the use of machine learning models trained on large medical data sets to assist healthcare professionals in making better and faster diagnoses. For example, AI-powered software can analyze CT scans and alert neurologists to suspected strokes. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Examples of AI applications include expert systems, natural language processing (NLP), speech recognition and machine vision. The generally slow pace of economic growth, together with the outsized profits of tech companies, has resulted in skepticism about the benefits of digital technologies for the broad economy.

cognitive automation tools

This allows insurance agents to focus on those customer service tasks which cannot be automated. The EdgeVerve AssistEdge RPA is an ideal solution for enterprises that prioritize consumer customer service. With its connected automation platform, it offers a comprehensive range of automation capabilities, including process discovery, document processing, and low-code application development. It has a turbocharged bot operations capability that enables intelligent automation, allowing for automated bot scaling, automated validations, and faster upgrades with minimal impact on the existing system. This feature ensures that the bots operate at optimal efficiency and can handle increased workloads without disruptions. The platform enables creators, developers, and organizations to build customizable apps for automating different parts of their businesses.

Immediate availability and future expansion

AI and machine learning are prominent buzzwords in security vendor marketing, so buyers should take a cautious approach. Still, AI is indeed a useful technology in multiple aspects of cybersecurity, including anomaly detection, reducing false positives and conducting behavioral threat analytics. For example, organizations use machine learning ChatGPT in security information and event management (SIEM) software to detect suspicious activity and potential threats. By analyzing vast amounts of data and recognizing patterns that resemble known malicious code, AI tools can alert security teams to new and emerging attacks, often much sooner than human employees and previous technologies could.

The next thing, with a serverless function, we take the latest data, the latest utilization and status data, and we update the knowledge graph. Now the knowledge graph, what it is, it’s a graph database, but it’s a graph database that has the latest information about our robot. Then we present this in a 2D dashboard, because at this point, we do not need a 3D digital twin. In this case, where we are visualizing only KPIs, only numbers, and maybe charts, we do not need to have some 3D visualization of our shop floor. This is, for information, the serverless function that pulls the latest information out of the time series DB, and sends it to the graph database. The first function that is defined is actually a CYPHER query that replaces the value with the latest value from the time series database.

Vendors like Nvidia have optimized the microcode for running across multiple GPU cores in parallel for the most popular algorithms. Chipmakers are also working with major cloud providers to make this capability more accessible as AI as a service (AIaaS) through IaaS, SaaS and PaaS models. Consequently, anyone looking to use machine learning in real-world production systems needs to factor ethics into their AI training processes and strive to avoid unwanted bias. This is especially important for AI algorithms that lack transparency, such as complex neural networks used in deep learning. Manufacturing has been at the forefront of incorporating robots into workflows, with recent advancements focusing on collaborative robots, or cobots. Unlike traditional industrial robots, which were programmed to perform single tasks and operated separately from human workers, cobots are smaller, more versatile and designed to work alongside humans.

SS&C Blue Prism: Best RPA for Unattended Use Cases

Characteristics of mental health interventions using automated CAs are detailed in Table 2. „One of the biggest challenges for organizations that have embarked on automation initiatives and want to expand their automation and digitalization footprint is knowing what their processes are,“ Kohli said. By enabling the software bot to handle this common manual task, the accounting team can spend more time analyzing vendor payments and possibly identifying areas to improve the company’s cash flow. Stampli’s Cognitive AI for PO Matching is available now as an add-on for customers using Oracle NetSuite, Sage Intacct, and SAP. Additional integrations with other financial systems are expected in the coming weeks. The company has plans to expand Cognitive AI into other areas of finance operations soon, continuing to leverage its deep expertise in automation and AI.

If we do that, we are optimistic our society can harness the productivity benefits and growth acceleration delivered by artificial intelligence to substantially advance human welfare in the coming years. There may be a need for updating social programs and tax policy to soften the welfare costs of labor market disruptions and ensure that the benefits of AI give rise to shared prosperity rather than concentration of wealth. The idea of jobs created versus jobs displaced is the most tangible manifestation of job market disruption for lay people. Job losses are indeed a significant social concern, and we need policies to facilitate adjustment. However, as economists, we note that the key factor in determining the influence of new technologies on the labor market is ultimately their effect on labor demand.

Stampli’s Cognitive AI aims to handle all your businesses’s purchase orders autonomously – VentureBeat

Stampli’s Cognitive AI aims to handle all your businesses’s purchase orders autonomously.

Posted: Tue, 10 Sep 2024 07:00:00 GMT [source]

This focus on shallow automation with pre-defined rules makes implementing it faster but less adaptable. Hyperautomation is a comprehensive approach that leverages technologies such as RPA bots, AI, and ML to optimize and automate processes from beginning to end. It involves more than simply performing repetitive tasks; it involves reimagining the way work is done. Success with automation entails coaching employees on how to spot use cases and how to navigate the transition to digital processes.

This transformer architecture was essential to developing contemporary LLMs, including ChatGPT. Increases in computational power and an explosion of data sparked an AI renaissance in the mid- to late 1990s, setting cognitive automation tools the stage for the remarkable advances in AI we see today. The combination of big data and increased computational power propelled breakthroughs in NLP, computer vision, robotics, machine learning and deep learning.

This test evaluates a computer’s ability to convince interrogators that its responses to their questions were made by a human being. In addition to AI’s fundamental role in operating autonomous vehicles, AI technologies are used in automotive transportation to manage traffic, reduce congestion and enhance road safety. In air travel, AI can predict flight delays by analyzing data points such as weather and air traffic conditions.

  • You have to understand the business processes you’re seeing to automate enough to determine if automatable as is or whether it makes send to redesign them a bit.
  • The EU’s General Data Protection Regulation (GDPR) already imposes strict limits on how enterprises can use consumer data, affecting the training and functionality of many consumer-facing AI applications.
  • AI is changing the game for cybersecurity, analyzing massive quantities of risk data to speed response times and augment under-resourced security operations.

It also provides integration with tools like HubSpot, PayPal, Stripe, Dropbox, and more. In conclusion, the field is characterized by a rapid expansion of use of fully automated CAs, with more and more evolved technical capabilities and especially in high income countries. Despite being highly acceptable, feasible and engaging as well as highly available for use, automated CAs do not appear to be yet prepared to be implemented in clinical practice with the young population. Although it is a promising approach for young population mental health promotion, efforts should be made to improve the efficacy and the safety of automated CAs. Future research with a standardized assessment, larger and diverse samples (e.g., different clinical conditions) and rigorous designs (e.g., efficacy and effectiveness studies, longer follow-ups) needs to be conducted. Theoretical framework for automated CAs interventions was reported by 17 studies.

Without continuous user engagement, there is risk that IT/data science drifts from what users want. According to Deloitte, most of these organizations were looking for continuous process improvement for their workflows, with automation as a secondary goal. Yet, when Deloitte asked these same organizations about how well they were able to leverage and scale their use of RPA to other areas in their companies, only 3% said they were succeeding in doing this.

  • Machine learning enables bots to remember the best ways of completing tasks, while technology like optical character recognition increases the data formats with which bots can interact.
  • Our digital twin helps Cresla to monitor their equipment availability in real-time, predict machine failures, understand the impact of these failures to the production line.
  • These may include manipulating data, passing data to and from different applications, triggering responses, or executing transactions.
  • Theoretical framework for automated CAs interventions was reported by 17 studies.

Longer implementation cycles further add to the complexity in incorporating evolving business regulations into operations, leading to diminishing returns, increased costs, and transformation hiccups. The systematic search in databases and external sources returned 9905 articles. After duplicates removal, 6874 articles were screened for title and abstract and further 6719 studies were excluded. Out of the remaining 155 studies, we retrieved full-text copies for 152 articles that were screened in full. This resulted in a total of 25 studies included in the current scoping review. For example, an attended bot can bring up relevant data on an agent’s screen at the optimal moment in a live customer interaction to help the agent upsell the customer to a specific product.

Revolutionizing Finance Automation: How E42’s Cognitive AI Transforms Financial Operations for the Indian Market and Beyond – CXOToday.com

Revolutionizing Finance Automation: How E42’s Cognitive AI Transforms Financial Operations for the Indian Market and Beyond.

Posted: Mon, 28 Oct 2024 23:19:22 GMT [source]

He co-developed the firm’s Cognitive Project Management for AI (CPMAI) methodology. Ron is co-host of the AI Today podcast, SXSW Innovation Awards judge, OECD and ATARC AI Working group member, and Top AI Voice on LinkedIn. Ron founded TechBreakfast, ChatGPT App a national innovation and technology-focused demo series. Ron also founded and ran ZapThink, an industry analyst firm focused on Service-Oriented Architecture (SOA), which was acquired by Dovel Technologies and subsequently acquired by Guidehouse.

cognitive automation tools

While RPA, AI and intelligent automation are all powerful tools, they offer different capabilities. For state and local agencies looking to dial back the hands-on work needed to keep data centers humming along, it’s important to understand the differences. Infrastructure automation leverages technology to operate data centers with less human intervention. You can foun additiona information about ai customer service and artificial intelligence and NLP. In this context, various technologies support the control of hardware, software and networking components, as well as operating systems and data storage. When queried, ChatGPT suggested the large language model could create personalized onboarding material and assist HR professionals in drafting documents, among other tasks. And employees will need time to build trust in the decision-making capabilities of the systems.

Дни на Европа

В периода 07.05-10.05 в Професионалната гимназия по компютърно програмиране и иновации клубът на Младшите посланици на Европейския парламент организираха поредица от дейности, които да покажат в действителност какво е Европейския съюз.  През първия ден учениците на гимназията имаха възможността да се запознаят с Ваня Симеонова, която е работила дълги години в средите на устойчивото развитие и екологичните политики. Участниците в дискусията с нея имаха възможността да се запознаят с академичната институция, в която тя има повече от 18 години опит, проекти, които развиват със студентите и други преподаватели. Беше им обяснено и за възможностите, които ЕС предлага за кандидатстване в чужбина, и за множеството плюсове, които членството ни носи. На 08.05 младшите посланици поставиха пред публика сценки за Георги Европейски, който се опитва да обеди семейството си, че присъединяването на България в Еврозоната всъщност ще донесе позитиви и не е толкова страшно, както някои хора си мислят. Сценария на сценките е написан от проф. Ингрид Шикова, която е съосновател на катедра „Европеистика“ към СУ. Срещата през втория ден бе с Есен Алиева, която разказа за функционирането на Европейския парламент, какво представляват изборите за Европейски представители, които ще се проведат на 09.06 през тази година и още много други интересни теми с Европейска тематика. След срещата, беше организирана и ролева игра „Европейски парламент“, в която учениците, влязоха в ролята на евродепутати от различни политически формации и трябваше да действат в екип, за да вземат решение по приемането на нов закон. На деня на Европа освен представителите на Европейския парламент на територията на гимназията в дейностите се включиха и клубовете по национална програма „Заедно в изкуствата и в спорта“, които проведоха спортни срещи с ППМГ „Акад. Никола Обрешков“, Търговска гимназия, НЕГ „Гьоте“, докато посланиците на Европейските ценности, организираха и участваха в специален лов на съкровища, където целта беше да се проследят загадките и да се отговори на въпросите, свързани с „Хартата на основните права на ЕС“ и периодично със забавлението да научат за правата и задълженията си. Също така се проведе среща с Анна Вдовичина, която изведе лекция с кариерен фокус и цел, да помогне на учениците с избора им за бъдещо работно място или университет. Освен това бе представена презентация, която обобщава дейностите на гимназия по проекти свързани с Европейския съюз.  Освен това участниците в клуба представиха своите дейности пред две радио станции, Българското национално радио и Дарик Радио – линкове към статиите: 

https://bnr.bg/burgas/post/101985766/uchenici-ot-pgkpi-organizirat-proavi-za-dena-na-evropa
https://darik.bg/mladshi-poslanici-na-evrovota-ne-se-doveravaite-na-sluchaini-iztochnici-sravnavaite

What’s Cloud Computing? Varieties, Examples And Benefits

What’s Cloud Computing? Varieties, Examples And Benefits

Based on the service model, cloud could be categorized into IaaS (Infrastructure-as-a-Service), PaaS (Platform-as-a-Service), and SaaS (Software-as-a-Service). It entails encryption, upkeep of information ai trust confidentiality guarding from unauthorized, undesirable entry with features Authentication and authorization. Live-chat with our sales team or get in touch with a business growth professional in your region. As you possibly can see, this involves value, effort to set it up and then to take care of, and tedious as nicely, in phrases of arising with plans to purge the techniques in production in the method in which of upkeep.

Modernizing Legacy Techniques: Embracing Cloud Options

You begin with a number of members talking with one another after which gradually the number of members will increase. As time passes, because the variety of members increases cloud sourcing, there can be extra traffic on the network and your server will get slow down. The Thin clients are those that use internet browsers facilitating moveable and light-weight accessibilities and others are generally known as Fat Clients that use many functionalities for offering a strong user experience. Improve your developer expertise, catalog all services, and improve software well being.

Characteristics Of Cloud Computing

What is Cloud Sourcing

It emphasizes a service-oriented approach the place IT resources are accessed as companies quite than as owned assets. This paradigm shift allows companies to focus extra on configuring and managing purposes and companies via user-friendly interfaces and APIs supplied by cloud vendors. Unlike conventional IT setups that require substantial investments in physical hardware and software program, cloud sourcing allows organizations to make the most of these computing assets on a subscription or pay-as-you-go basis. This shift from owning to accessing IT assets presents a basically different approach to managing and scaling know-how within a enterprise.

What Are The Benefits Of Cloud Computing?

The elastic nature of the cloud means you possibly can work with a supplier and scale resource utilization up or down as needed, remaining versatile as marketplace situations change. Cloud computing provides supply-chain corporations the power to unite their physical infrastructure in a cloud-based upkeep dashboard. This contains constructing techniques, material-handling mechanisms like conveyors and pallet vans, and vitality or water methods. That’s when Compaq Computer Corporation coined the term “cloud computing” in a marketing strategy.

  • This frees organizations from purchasing and increasing the on-premises physical hardware wanted to run utility testing, offering quicker time to market.
  • Artificial intelligence (AI) is increasingly in demand across all enterprise horizontals and verticals.
  • Its future will doubtless embody exponential advances in processing capability, fueled by quantum computing and synthetic intelligence, as properly as different new technologies to increase cloud adoption.
  • Cloud computing leverages remote servers in huge data facilities, segmenting physical servers into scalable virtual machines (VMs) for unbiased app and OS performance.
  • Software installed on the hard disk needs to be put in on every laptop which may consume a lot of time and efforts and its capital expenditure is quite high which supplies rise to cloud-based functions.

Thanks to cloud computing, it’s potential for users to entry recordsdata over the web on gadgets corresponding to laptops and smartphones. Cloud companies additionally make it much simpler to organise information, as recordsdata can be stored, shared and organised on a cloud-based network. Another function of cloud computing is that resources are pooled collectively and shared amongst users. In 1999, it launched cloud-based CRM software to exchange conventional desktop CRM. Because early computers have been giant and expensive, initial variations of the cloud were designed to give multiple users entry to a single machine.

What is Cloud Sourcing

The supplier hosts the infrastructure and middleware components, and the client accesses these providers by way of an internet browser. There are several developments pushing business—across all industries—toward the cloud. For most organizations, the current means of doing enterprise won’t deliver the agility to develop, or may not provide the platform or flexibility to compete. The explosion of data created by an growing number of digital businesses is pushing the price and complexity of information heart storage to new levels—demanding new skills and analytics tools from IT. Cloud sourcing is a flexible strategy that permits firms throughout a range of industries to embrace innovation and streamline processes. Through cloud sourcing, one can rent virtualized infrastructure, entry software program purposes, or leverage cutting-edge know-how, opening doors to increased effectivity and competitiveness in today’s ever-evolving digital panorama.

Moving to the cloud removes the headaches and prices of sustaining IT safety. An experienced cloud provider continually invests in the newest security technology—not solely to answer potential threats, but additionally to allow customers to raised meet their regulatory requirements. The layer made up of software program and hardware, i.e., the computers, servers, central servers, and databases, is the back-end layer. This layer is the first element of cloud and is totally responsible for storing info securely.

In this text, I am only going to put in writing what cloud computing is and how it is totally different from outsourcing. It has been round since a very lengthy time and it is just now that it has gained prominence. The want for cloud computing to have gained prominence are plenty, some of the drives has been around the need to reduce the operational value. Nowadays Cloud Computing and Cloud Sourcing is on the agenda in plenty of organizations.

Cloud-based knowledge evaluation is the rationale major pharmaceutical companies like Bayer are in a position to maintain critical and seasonal drugs in inventory reliably throughout the nation year-round. The proper technologies can provide several months of forecasting and prediction data to keep forward of seasonal surges and even unpredictable changes in local demand patterns. Inventory management automation is especially helpful throughout high-demand durations, similar to the vacation season.

You pay for these servers if you finish up using them and as nicely as when you’re not utilizing them. Now, your website is put within the cloud server as you place it on a dedicated server. People begin visiting your website and should you suddenly want more computing energy, you’ll scale up based on the need. Teams that use cloud infrastructures can more rapidly execute and ship worth to their clients.

What is Cloud Sourcing

It comes up with a mix of parts of each non-public and public clouds providing seamless knowledge and application processing in between environments. It provides flexibility in optimizing assets similar to delicate knowledge in personal clouds and essential scalable purposes within the public cloud. Cloud computing offers advanced computing sources available on-demand, that scale as needed, with common updates and with out the necessity to buy and preserve an on-premise infrastructure. With cloud computing, groups become extra efficient and cut back time to market as they can rapidly acquire, scale companies, with out the considerable effort that requires managing a conventional on-premise infrastructure. Cloud deployments allow teams to connect their tools from finish to finish, making it easier to monitor all elements of the pipeline.

Google’s cloud services had been down a number of times last 12 months, and, most just lately in April, Microsoft confronted one other outage, affecting each Microsoft 365 and Azure. In 2021, firms will invest in multi-cloud and hybrid cloud strategies, together with cloud-agnostic platforms, to make sure larger IT resiliency. This includes software-as-a-service (SaaS), which occupies the most important market share, and platform-as-a-service (PaaS), which will grow the quickest.

By 2025, IBM Cloud worldwide knowledge facilities will comprise energy procurement drawn from 75% renewable sources. Artificial intelligence (AI) is more and more in demand across all business horizontals and verticals. Cloud computing and the provision of cloud-hosted AI libraries, modeling engines, and algorithms will be crucial to its adoption. A totally different survey by Pepperdata discovered that one in three companies confronted as much as 40% cloud budget overruns in 2020.

Before cloud computing, organizations purchased and maintained an on-premise IT infrastructure. Though cost-savings drove much of the initial shift to the cloud, many organizations discover that public, private, or a hybrid cloud infrastructure presents a bunch of advantages. Hybrid clouds fuse personal clouds with public clouds for the best of both worlds.

Comprehensive monitoring is another key capability for organizations working towards DevOps because it permits them to handle points and incidents quicker. Cloud providers share metrics about the health of the system, including utility and server CPU, reminiscence, request price, error rate, common response time, and so forth. For example, monitoring the load across many virtual machines (VMs) signifies that groups can add more capacity if there is an increase in demand, or teams can automate the scaling (up/down) based on those metrics to scale back human intervention and costs. Users can entry the most recent machines with extreme, multi-core CPUs designed for heavy parallel processing tasks. Additionally, major cloud providers provide cutting-edge GPU and TPU hardware machines for intense graphical, matrix, and synthetic intelligence processing duties. These cloud suppliers persistently update with the most recent in processor technology.

Transform Your Business With AI Software Development Solutions https://www.globalcloudteam.com/ — be successful, be the first!


Warning: Undefined array key "extension" in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1471

Warning: file_exists(): File name is longer than the maximum allowed path length on this platform (4096): /www/wwwroot/temp.codingburgas.net//image/jpeg;base64,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 in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1519

Warning: file_exists(): open_basedir restriction in effect. File(/www/wwwroot/codingburgas.net/wp-content/uploads/et_temp/9k=-1080x675.) is not within the allowed path(s): (/www/wwwroot/temp.codingburgas.net/:/tmp/) in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1540
NelsonHall names DXC a Leader in Cognitive & Self-Healing IT Infrastructure Management Services-2023

Five elements to perfect your customer retention strategy

It’s about keeping your existing customers engaged and satisfied with your products or services, so they continue to do business with you. A well-crafted customer retention strategy can transform casual buyers into retention forex loyal advocates for your brand, fostering a cycle of repeat purchases and long-term loyalty. Here’s how to develop a robust retention strategy and why it’s integral to the sustained success of your business. Designing an optimal onboarding experience for new users represents a key part of any customer retention strategy. These first interactions can make lasting impressions, so companies must view this initiation period as critical to their prospects of fostering future loyalty.

customer retention solutions

Five elements to perfect your customer retention strategy

In fact, 77 percent of customers surveyed in the latest Zendesk Customer Experience Trends Report https://www.xcritical.com/ say they’re more loyal to companies that offer a good customer experience when issues arise. Customer retention indicates whether your product and the quality of your service please your existing customers. It’s also the lifeblood of most subscription-based companies and service providers. Both customer acquisition and customer retention are part of a well-thought-out customer service plan and the key performance indicators (KPIs) included in that plan.

Establish loyalty with a one-of-a-kind product.

On the website, customers will find DIY kits and tutorials on how to care for their hair and skin with everyday products they can find at home or in the grocery store. They know their users are active on X and frequently update on the platform in case of outages or other customer issues. Exceeding your customer‘s expectations with something like an added gift Decentralized finance or benefit will give them joy they won’t forget.

customer retention solutions

Keep your products and services top of mind

Dia & Co is a clothing brand that specializes in creating clothes for plus-size women. After Dia & Co began its most recent referral program, its referral links were shared more than 50,000 times. Forty thousand customers shared those links, and in the first month, the program saw about 22 conversions per day. Imagine 60% of your one-time customers say they didn’t purchase again because they haven’t used the last item they bought. Enter these people into an email marketing series that focuses on product education.

Which Tool is the Best for Customer Retention Software?

Is there any knowledge or inspiration that your current customers lack when trying to make the most of your product? Review customer support conversations to find these pain points and a potential focus of your community. The same email also includes special offers and pricing for customers who add other one-time purchases to their order. CustomerGauge allows you to automate the process of capturing customer feedback across multiple channels. The platform’s powerful text and sentiment analysis features are useful in identifying emotions and trends in customer feedback.

Their Inside Buffer blog discusses operations and changes within the organization to make customers feel closer to the brand. Also, you should consider incorporating a loyalty program that rewards repeat business and customer referrals. Customer retention will continue to grow more important in the coming years as competition increases and customer acquisition costs continue to soar. By focusing on providing a great experience, you can keep your current customers happy while also attracting new ones.

A common shopping place for teenagers to spend their allowances, Five Below is teaching those of us in the business world some valuable lessons about customer retention. I think this strategy is effective because the service meets a common need and integrates itself seamlessly into users’ lives. For people who want to manage their reproductive health, Flo offers a world-class platform that predicts, analyzes, and tracks individual health data. Establishing a following for your product or service can encourage prospective customers to join in on the benefit of an active community.

For instance, if a segment of the customer base is particularly responsive to cashback rewards, the business can allocate more emphasis in that direction. A B2B (business-to-business) retention programme is a tailored strategy crafted to nurture strong, long-lasting connections between businesses. Unlike B2C (business-to-consumer) programmes that focus on individual customers, B2B loyalty dives into the specific needs and complexities of business clients. With points-based systems, businesses can customise incentives according to how customers behave.

It increases customer satisfaction and acts as a great customer retention solution. Implementing live chat can be one of the best customer retention strategies and significantly reduce the impact of the factor that adversely affects the customer experience. Equip them with the necessary tools, knowledge, and support to excel in their roles. Provide customer relationship management (CRM) software, access to customer data, and ongoing training. Empowered employees can deliver exceptional service and contribute to overall customer satisfaction.

  • To achieve this, teams can start by quantifying customer expectations in crucial areas such as support resolution time, feature releases, or shipping speed.
  • These metrics help identify engagement levels and where to focus to drive meaningful improvement.
  • Employing CSR activities in your business will improve your brand image and positioning.
  • These technologies streamline processes, improve response times, and create more satisfying customer journeys.
  • Regular communication can help build strong relationships with your customers.
  • As I mentioned above, your most loyal customers are also your most valuable ones — not just because of the money they spend but also for the information they provide.
  • These accounts help in tracking individual customer activities and accumulating points or rewards.

It proves to be one of the best customer retention strategies and help businesses to attract new prospects and also retain them with your business. Mapping your customer journey or buyer journey mapping helps to identify, structure, and improve the complex interactions that customers experience across their journey. It requires a comprehensive understanding of your customer base and a strategic approach to fostering long-term relationships. You can start by analyzing customer data to identify key preferences, behaviors, and pain points. You need to utilize this information to segment your customer base and personalize communication and incentives accordingly.

It’s about being one step ahead of potential problems through strategic, targeted engagement. A well-executed onboarding process demonstrates a clear commitment to each individual customer and sows the seeds for repayment through retention. Beginning with their initial purchase, users deserve consistent, straightforward guidance that seamlessly answers their questions and resolves their issues.

Let’s review some of the most useful customer retention strategies that the biggest brands currently use to inspire loyalty. Getting customers to create an account is a great way to learn more about them and offer them a personalized experience that will encourage them to make a purchase from your company. Another simple way to add a sense of personalization is by using product recommendations based on customer behavior. Customer retention rate is the flip-side to customer churn, which represents the percentage of customers a company has lost over a specific period. It’s thus equally critical to inform customers when their input has directly shaped decisions around product enhancements or service improvements.

Alternatively, you can try using a survey template for Customer retention that provides the intelligence you need to improve satisfaction and retain valuable customers. Making an impact with a thoughtful and prompt closed-loop feedback process sticks in customers’ minds and improves customer relationships. Engaged employees feel enthusiastic about their work, and they will leave no stones unturned to resolve clients’ issues, close a sale, or provide them with exceptional service. Using a subscription-based model is another customer retention idea to consider, especially if you are dealing with an e-commerce business. You can do so by assigning a separate help desk team consisting of professional customer representatives. Make sure to train them in understanding the customer’s needs and offering personalized solutions.

Tailor content to specific segments or interests for personalized value and continued participation, ensuring they feel valued and their preferences are recognized. Offering online and mobile capabilities for browsing, purchases, payments, customer queries, and other services allows companies to gather valuable data and insights on customer preferences and behaviors. Technology provides businesses with tools to understand their customers better, track their journeys and preferences, and automate customer service processes.

And while reciprocity works incredibly well on its own, research shows it’s far more powerful when it’s a surprise. The gesture probably wasn’t all that unusual, but the fact that it came out of nowhere likely left a strong impression on you. Uncover the drivers behind consumer loyalty and how innovative retailers succeed in this quarterly Pulse Report. Once upon a time, only human agents could analyze a customer’s profile and tailor their responses with relevant information. Now, a well-optimized generative language model can achieve this almost instantaneously – and on a much larger scale. Artificial intelligence has a long history of delivering personalized content.


Warning: Undefined array key "extension" in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1471

Warning: file_exists(): File name is longer than the maximum allowed path length on this platform (4096): /www/wwwroot/temp.codingburgas.net//image/jpeg;base64,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 in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1519

Warning: file_exists(): open_basedir restriction in effect. File(/www/wwwroot/codingburgas.net/wp-content/uploads/et_temp/9k=-1080x675.) is not within the allowed path(s): (/www/wwwroot/temp.codingburgas.net/:/tmp/) in /www/wwwroot/temp.codingburgas.net/wp-content/themes/Divi/epanel/custom_functions.php on line 1540
NelsonHall names DXC a Leader in Cognitive & Self-Healing IT Infrastructure Management Services-2023

24option Рейтинг Форекс брокеров и бинарных опционов

платформа 24option

Заметил так же, что этого брокера активно пробивают в Яндексе. На самом деле про каждого из этих брокеров, можно найти как и кучу положительных, так и отрицательных отзывов – хотя, какие-то из них, точно являются лютой скаминой. На официальном портале БК отсутствует информация о действующих региональных ограничениях в отношении трейдеров. Отсутствуют данные и о завершенных «партнерках» 24Опцион. Обращения трейдеров рассматриваются максимально оперативно.

  1. Жаль, что не попала на этот сайт раньше и не видела отзывы.
  2. Почитал отзывы и все понял, мониторил после по отзывам других брокеров, пришел к выводу что все кидают.
  3. Поскольку эти провайдеры могут собирать личные данные, такие как ваш IP-адрес, мы разрешаем вам заблокировать их здесь.
  4. Общая поддержка доступна круглосуточно и без выходных по телефону, электронной почте или в чате.
  5. Услугами компании могут пользоваться жители других стран, за исключением Европейской экономической зоны, Британской Колумбии, Швейцарии, Канады и США.

Платформа для торговли у данного брокера функционирует с помощью обычного веб-браузера, поэтому скачивать какое-либо приложение вам не придётся. Жаль, что не попала на этот сайт раньше и не видела отзывы. В какой-то момент почувствовала неладное и не сделав никакой сделки – решила вывести деньги обратно. С этого момента их менеджер стала названивать с разных номеров телефонов всячески убеждая не выводить деньги. Когда я все-таки настояла на своем и подала заявку на вывод, эта компания – не предоставив мне никаких услуг – сняла с меня 6,500 рублей – обозвав это комиссией. Сторонитесь этих граждан, не попадайтесь на сладкие речи и обещанные золотые горы.

Мой счет

Бренд 24option был основан в 2010 году, и принадлежит компании Rodeler Limited. Главный офис компании располагается на Кипре, там же брокер регулируется финансовой комиссией и имеет лицензию CySec. Компания является западной, но сайт 24option доступен более чем на 15-ти языках, в число которых входит и русский. Основной задачей 24option является предоставление качественных услуг для трейдеров, а также личный подход к каждому клиенту. Крупный учебный центр, позволяет бесплатно ознакомиться с обучающими видео, различными статьями, полезной книгой о бинарных опционах и многими другими материалами. На русскоязычном рынке 24option только начинает набирать обороты, но доверие к компании проявленное от профессиональных трейдеров позволяет это делать ещё более стремительно.

Он активно занимается онлайн-торговлей и предлагает различные финансовые продукты в качестве брокера. Брокер специализируется на распределении CFD (контрактов на разницу цен), которыми можно торговать на акции, товары, валюту или криптовалюту. Несколько лет назад провайдер был номером 1 в торговле опционами.

Перевод средств на депозит осуществляется моментально, а вывод денег может длиться до трех рабочих дней. Создание депозита в личном кабинете возможно только в американских долларах. Максимальное кредитное плечо устанавливается для всех планов на уровне 1к400. Перед тем, как открыть счет в 24option, необходимо определить уровень плеча. Список рынков в AGlobalTrade охватывает широкий спектр финансовых инструментов из всех классов активов… Cauvo Capital предлагает высококачественные торговые условия, которые включают умеренное кредитное плечо и быстрое исполнение ордеров…

платформа 24option

Торговые инструменты 24option

На странице с обзором 24оптион вы можете ознакомиться как с положительными отзывами, так и с негативными, что поможет вам принять взвешенное решение при выборе брокера для инвестирования в бинарные опционы. Реальные отзывы трейдеров о брокерской компании 24 Опцион свидетельствуют, что не все так гладко, как пытается преподнести сама компания. Для работы с обычными CFD-контрактами трейдеры могут пользоваться универсальной торговой платформой Метатрейдер 4.

Минимальный депозит и доступные суммы сделок

Диаграммы могут отображаться в 6 различных вариантах. Кроме того, торговая платформа предлагает набор инструментов для технического анализа рынков. Например, доступно более 30 различных индикаторов, которые могут отображаться по желанию трейдера. Инструменты рисования для самоанализа также доступны через торговую платформу 24Option.

24Option предлагает более 250 различных значений, которыми можно торговать на торговой платформе. К ним относятся криптовалюты, форекс, акции, товары и индексы. платформа 24option Оферент удивляет своими разнообразными предложениями и вполне конкурентоспособен. Проверьте, как работает платформа, насколько она проста в использовании и не «лагает» ли в процессе торговли. Кроме того, многие трейдеры предпочитают торговать через мобильное приложение, поэтому проверьте его наличие и качество.