{"id":10752,"date":"2024-06-11T15:10:59","date_gmt":"2024-06-11T13:10:59","guid":{"rendered":"https:\/\/wats.com\/?p=10752"},"modified":"2024-06-12T08:55:15","modified_gmt":"2024-06-12T06:55:15","slug":"industry-thoughts-the-reality-of-ai-in-electronics-manufacturing","status":"publish","type":"post","link":"https:\/\/wats.com\/industry-thoughts-the-reality-of-ai-in-electronics-manufacturing\/","title":{"rendered":"Industry Thoughts: The Reality of AI in Electronics Manufacturing"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][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 css=”” el_class=”excerpt” text_direction=”default”]Artificial Intelligence (AI) has been making headlines and capturing public interest and showing\u00a0signs of becoming a real game-changer across multiple industries.<\/p>\n

Generative AI tools like ChatGPT and DALL-E continue to get media attention, but what about the application and potential of AI in electronics manufacturing and test data management?<\/p>\n

Is it really going to make an impact? In short \u2013 absolutely.<\/p>\n

This year, we’ve enhanced WATS with new features powered with our AI technology: WATS Alvea. And we have more planned for the future.[\/vc_column_text][vc_column_text css=”” text_direction=”default”]\n

Generative AI in Electronics Manufacturing<\/h2>\n

We\u2019re very excited about AI here at WATS and the integration of AI into manufacturing processes. As a group of professionals whose working lives are built around managing data and get the most value of it, we\u2019ve approached AI with a commitment to build practical value-driven solutions.<\/p>\n

We\u2019re sure you\u2019ve already tried out ChatGPT or similar tools, so you\u2019ll understand generative AI\u2019s current capabilities. You\u2019re also probably used to using AI without really thinking about it, such as using a chatbot on a website.<\/p>\n

But with AI starting to spread throughout our personal and professional lives, it has yet to go mainstream in production environments.<\/p>\n

Most of the new AI you\u2019re seeing right now is built on Large Language Models \u2013 the same technology behind ChatGPT. However, these kinds of applications are often off-the-shelf modules giving varied benefits for the end user: designed to appease marketing goals rather than make a product genuinely better.<\/p>\n

However, when it comes to hyper-technical applications \u2013 like managing test data \u2013 \u00a0 a one-size-fits-all platform isn\u2019t powerful enough.<\/p>\n

Enhancing Test Data Management with AI<\/h2>\n

If you\u2019re involved in testing within your business, you know just how much data you produce. You measure a huge range of variables, across a massive number of components, in different test stations, in other plants, and in various countries. As a result, test teams, or test-adjacent teams like R&D and Quality Assurance needs capabilities to get the value from these data.<\/p>\n

Here at WATS, we thought about how to use AI to get even faster and more insights into this enormous amount of data. Fundamentally, we want to include features that add value to WATS, not just implementing AI for the sake of it. We very much believe in using the right technology for the right job.<\/p>\n

That\u2019s why we started out with WATS Alvea \u2013 our AI Technology designed to improve WATS and empower test engineers and colleagues in R&D and Quality with handling their Test Data and manufacturing insights.<\/p>\n

Introducing WATS Alvea: Advanced Analytics with AI Technology<\/a><\/p>\n

Accelerating Root Cause Analysis with AI<\/h2>\n

This year we’ve launched more tools such as Process Heatmap and Test Step Analysis with AI\u2013powered suggestion. We wanted to empower test engineers to get more insights and do more analysis faster than ever. These tools and features are designed to accelerate root cause analysis and identifying yield trends faster, enabling companies to adapt a data-driven approach to improve manufacturing processes, R&D and product quality.<\/p>\n

WATS Process Heatmap with AI<\/a><\/p>\n

WATS Alvea surfaces hyper-relevant data for users who might otherwise not know where to look in the first place. For users who are more confident using test management systems, WATS Alvea just speeds up what they already do.<\/p>\n

What\u2019s Next: Combining rule-based AI with gen-AI?<\/h2>\n

While Generative AI can be very useful in both surfacing and presenting data. WATS Alvea gives you the heads-up on failure root causes, but what if you could quiz it further, asking for a step-by-step guide on what to investigate based on the measurements it’s presenting?<\/p>\n

That thinking forms part of our plan for WATS in the future: combining the rule-based AI with the power of modern generative AI.<\/p>\n

Predictive Analytics and Machine Learning<\/h3>\n

We\u2019re closely watching to see what AI could evolve into, particularly in the field of predictive analytics. For example, something that is truly exciting would be for our users to have the ability to model the business impact of failures in components or proactive fixes in test tolerances.<\/p>\n

Machine Learning holds the keys to much of that work and, with the right approach to training a model, this level of predictive analytics could be custom-made for individual businesses. One bonus that manufacturers have over other industries is how much data they already collect, which means when the models are ready to be trained, all the material they need will be there.<\/p>\n

Dedicated to extract the value of Test Data<\/h3>\n

At WATS we have a whole team looking at ways to improve Test Data Management and getting the most value out of your Test Data. We\u2019re all in on AI, just as long as it helps the people we\u2019ve been supporting for decades, as well as newcomers to the WATS platform.<\/p>\n

Test Step Analysis and Root Cause Analysis with AI Technology<\/a>[\/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=”#efefef” scene_position=”center” top_padding=”6%” bottom_padding=”6%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” shape_type=”” gradient_type=”default”][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_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner 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” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/6″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”left-right” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” 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” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”2\/3″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_custom_heading text=”Book a Demo with us today” font_container=”tag:h2|font_size:52|text_align:center|line_height:52px” use_theme_fonts=”yes” css_animation=”fadeInUp”][divider line_type=”No Line” custom_height=”10″][vc_custom_heading text=”Get a deep dive on how WATS work and discover how easy our platform is to use. Learn how WATS can access your test data and give you a real-time overview of your manufacturing.” font_container=”tag:p|text_align:center|color:rgba(0%2C0%2C0%2C0.7)” use_theme_fonts=”yes” css_animation=”fadeInUp” css=”.vc_custom_1707830247893{margin-top: 10px !important;margin-bottom: 10px !important;}”][nectar_btn size=”large” button_style=”regular” button_color_2=”Accent-Color” icon_family=”none” url=”https:\/\/wats.com\/book-demo\/” text=”Book Demo” css_animation=”zoomIn” margin_top=”10″][\/vc_column_inner][vc_column_inner 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” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/6″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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