{"id":15971,"date":"2022-05-03T21:28:03","date_gmt":"2022-05-03T21:28:03","guid":{"rendered":"https:\/\/www.transcribeme.com\/?p=15971"},"modified":"2023-04-19T00:39:14","modified_gmt":"2023-04-19T00:39:14","slug":"the-challenges-organizations-face-deploying-ai-machine-learning-solutions","status":"publish","type":"post","link":"https:\/\/www.transcribeme.com\/blog\/the-challenges-organizations-face-deploying-ai-machine-learning-solutions\/","title":{"rendered":"The Challenges Organizations Face Deploying AI & Machine Learning Solutions"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” equal_height=”yes” content_placement=”middle” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#f7f7f7″ scene_position=”center” top_padding=”5%” constrain_group_1=”yes” bottom_padding=”5%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” advanced_gradient_angle=”0″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]\n

Business AI & Machine Learning – It\u2019s Here to Stay<\/p><\/blockquote>\n

Artificial intelligence (AI) and machine learning (ML) use in the business world is rapidly growing as a way to drive greater business process efficiencies. According to a 2020 survey by <\/span>Deloitte<\/span><\/a>, 67% of the nearly 3,000 IT and business executives surveyed said their companies already had machine learning projects in place, while 97% were either using or planning to use machine learning within the next year.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” equal_height=”yes” content_placement=”middle” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#ffffff” scene_position=”center” top_padding=”5%” constrain_group_1=”yes” bottom_padding=”5%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” advanced_gradient_angle=”0″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]In a 2021 report, <\/span>Algorithmia<\/span><\/a> discovered that companies are actively broadening the scope of what they are using AI and machine learning to accomplish, with a clear focus on the automation of business processes and customer experience.\u00a0<\/span><\/p>\n

So if you run a business, does this mean you should hurry to allocate some money in next year’s budget for a data scientist or two, maybe even start a new ML division in your IT department? Sure, you can. And maybe it will even work great for you. But like everything in life, it’s often not as simple as that.<\/span>[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”15973″ image_size=”full” animation_type=”entrance” animation=”Fade In” animation_easing=”default” animation_movement_type=”transform_y” hover_animation=”none” alignment=”center” img_link_large=”yes” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#f7f7f7″ scene_position=”center” top_padding=”5%” constrain_group_1=”yes” bottom_padding=”5%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” advanced_gradient_angle=”0″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]\n

AI\/ML Implementation Obstacles<\/h3>\n

Nearly all companies agree that AI and ML can be beneficial to their businesses if implemented successfully, but it is the successful implementation aspect that has its share of issues.<\/span><\/p>\n

In May of 2019, <\/span>Dimensional Research<\/span><\/a> conducted a global survey of data scientists, AI experts, and stakeholders in large companies across 20 industries to determine their experiences with machine learning development projects. The report, <\/span>Artificial Intelligence and Machine Learning Projects Are Obstructed by Data Issues<\/span><\/a>, is loaded with interesting information. We highly recommend reading it all, but here are a few key takeaways:<\/span><\/p>\n