{"id":177,"date":"2015-12-30T06:03:40","date_gmt":"2015-12-30T06:03:40","guid":{"rendered":"http:\/\/consulting.stylemixthemes.com\/demo\/?page_id=176"},"modified":"2026-08-22T21:18:31","modified_gmt":"2026-08-22T21:18:31","slug":"typography","status":"publish","type":"page","link":"https:\/\/aleteris.com\/?page_id=177","title":{"rendered":"AI, Explained"},"content":{"rendered":"

[vc_row css=”.vc_custom_1453470241245{margin-top: 85px !important;margin-bottom: 40px !important;}”][vc_column width=”1\/2″][vc_column_text]Machine Learning<\/strong><\/p>\n

A system that improves at a task by learning patterns from data, instead of being explicitly programmed for every scenario. It’s the engine behind most of what people call “AI” in production today \u2014 fraud scoring, demand forecasting, recommendation engines.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][vc_column_text]Large Language Model (LLM)<\/strong><\/p>\n

A model trained on massive amounts of text to understand and generate language. It’s what powers chatbots, copilots and document summarization \u2014 but on its own, it doesn’t know your company’s data unless you connect it.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451475542681{margin-bottom: 22px !important;}”][vc_column width=”1\/2″][vc_column_text]Data Pipeline<\/strong><\/p>\n

The plumbing that moves data from where it’s created to where it’s useful \u2014 cleaned, validated and ready for a report, a dashboard, or a model. Most “AI problems” are actually pipeline problems in disguise.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][vc_column_text]MLOps<\/strong><\/p>\n

The practices and tooling that keep a machine learning model reliable once it’s live \u2014 monitoring for drift, retraining on schedule, rolling back when something breaks. Without it, a great model quietly gets worse over time.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451761604071{margin-bottom: 72px !important;}”][vc_column width=”1\/2″][vc_column_text]Generative AI<\/strong><\/p>\n

Models that create new content \u2014 text, code, images \u2014 rather than just classifying or predicting. Useful for drafting, summarizing and automating knowledge work, but it still needs guardrails and human review for anything client-facing.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][vc_column_text]Data Governance<\/strong><\/p>\n

The rules and controls that decide who can access what data, how it’s classified, and how long it’s kept. Not the most exciting part of AI \u2014 but it’s the difference between passing an audit and failing one.[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” equal_height=”yes” content_placement=”top” css=”.vc_custom_1451888290557{margin-bottom: 32px !important;background-color: #f2f2f2 !important;}”][vc_column width=”1\/2″ css=”.vc_custom_1451899944712{padding-top: 33px !important;padding-bottom: 60px !important;}”][vc_custom_heading text=”explore on your own” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes” css=”.vc_custom_1451882578993{margin-bottom: 30px !important;}”][vc_row_inner][vc_column_inner][vc_btn title=”See our services” style=”outline” color=”theme_style_2″ size=”lg” i_icon_fontawesome=”fa fa-briefcase” add_icon=”true” css=”.vc_custom_1451886483872{margin-right: 26px !important;}”][vc_btn title=”Read client cases” style=”flat” color=”theme_style_1″ i_align=”right” i_icon_fontawesome=”fa fa-chevron-right” add_icon=”true” css=”.vc_custom_1451886039218{margin-top: 2px !important;}”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_btn title=”Browse the portfolio” style=”flat” color=”theme_style_3″ size=”lg” i_icon_fontawesome=”fa fa-briefcase” add_icon=”true” css=”.vc_custom_1451887219751{margin-right: 26px !important;}”][vc_btn title=”View our services” style=”flat” color=”theme_style_3″ i_align=”right” i_icon_fontawesome=”fa fa-chevron-right” add_icon=”true” css=”.vc_custom_1451890189239{margin-top: 2px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/2″ css=”.vc_custom_1451899953288{padding-top: 33px !important;padding-bottom: 60px !important;padding-left: 60px !important;background-color: #222222 !important;}”][vc_custom_heading text=”talk to a human instead” font_container=”tag:h3|text_align:left|color:%23ffffff” use_theme_fonts=”yes” css=”.vc_custom_1451887944726{margin-bottom: 30px !important;}”][vc_row_inner][vc_column_inner][vc_btn title=”Book a free consultation” style=”flat” color=”theme_style_3″ size=”lg” i_icon_fontawesome=”stm-home” add_icon=”true” css=”.vc_custom_1451893318733{margin-right: 26px !important;}” sub_title=”No sales pitch, just answers”][vc_btn title=”Talk to an engineer” style=”outline” shape=”square” color=”theme_style_4″ i_align=”right” i_icon_fontawesome=”fa fa-chevron-right” add_icon=”true” css=”.vc_custom_1451892148281{margin-top: 2px !important;}”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_btn title=”Get a cloud assessment” style=”flat” color=”theme_style_1″ size=”lg” i_icon_fontawesome=”fa fa-briefcase” add_icon=”true” css=”.vc_custom_1451899736908{margin-right: 26px !important;}” sub_title=”Free, no obligation”][vc_btn title=”Request a quote” style=”flat” shape=”square” color=”theme_style_1″ i_align=”right” i_icon_fontawesome=”fa fa-chevron-right” add_icon=”true” css=”.vc_custom_1451892527235{margin-top: 2px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451888907770{margin-bottom: 24px !important;}”][vc_column][vc_column_text]<\/p>\n

Why this glossary exists<\/p>\n

Executives don’t need to become data scientists to make good decisions about AI \u2014 but the jargon shouldn’t be the reason a good decision gets delayed. Vendors throw around “LLM,” “MLOps,” and “data governance” as if everyone already knows what’s actually being proposed, what it costs to maintain, and what could go wrong. This page exists so a conversation with your team, your board, or with us, starts from the same plain-English footing.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451888913806{margin-bottom: 24px !important;}”][vc_custom_heading text=”build vs. buy” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”1\/2″][vc_column_text]Most companies assume building an in-house AI team is the “serious” option and hiring a partner is the shortcut. In practice, hiring internally for AI is slow, expensive, and hard to get right without someone technical already on the team to hire well.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]The companies that move fastest usually do both: bring in a partner to ship the first real system in production, while building internal capability alongside it \u2014 which is exactly why we offer training and enablement programs, not just delivery.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_row][vc_row css=”.vc_custom_1451888918278{margin-bottom: 24px !important;}”][vc_column][vc_custom_heading text=”three AI myths, debunked” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”1\/3″][vc_column_text]”AI just needs more data.” More data helps, but bad data at scale is still bad data. Most AI projects fail on data quality, not data volume.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text]”A pilot that works is basically done.” A pilot proves an idea works once, on curated data. Production means it keeps working when real users and edge cases show up.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text]”We’ll figure out governance later.” Governance bolted on after the fact is expensive and incomplete. It’s cheaper, by far, to design it in from day one.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451888918278{margin-bottom: 24px !important;}”][vc_column][vc_custom_heading text=”how we actually work” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”1\/4″][vc_column_text]Discovery & data assessment \u2014 we make sure the data can actually support the outcome before we promise anything.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text]Model development & training \u2014 real experimentation against your data, not a generic off-the-shelf demo.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text]Deployment & monitoring \u2014 shipped into production with the observability to know if it’s actually working.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text]Ongoing optimization \u2014 models get retrained, dashboards get sharper, and your team gets more capable over time.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1451889741768{margin-bottom: 108px !important;}”][vc_column][vc_custom_heading text=”the real asset isn’t the model” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”2\/3″][vc_column_text]Every company already has a huge source of untapped value sitting in the data it generates every day, and yet so many of these companies never think to treat it as a real asset. What is this valuable asset, really? As we like to put it at ALETERIS, “Given that every company now has access to the same models, the question becomes how do you successfully turn your own data into an advantage no competitor can copy?” It’s not the model. It’s what you feed it.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text]Quick take: the model is commodity. Your data, your domain knowledge, and how well the two are connected \u2014 that’s what actually compounds.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” el_class=”third_bg_color” css=”.vc_custom_1451889219674{margin-bottom: -60px !important;}”][vc_column][vc_cta h2=”Looking for a First-Class AI &amp; Technology Consultant?” h2_font_container=”font_size:20px|color:%23000000|line_height:24px” h2_use_theme_fonts=”yes” shape=”square” style=”flat” add_button=”right” btn_title=”get a quote” btn_style=”flat” btn_color=”theme_style_2″ btn_align=”right” btn_i_align=”right” btn_i_icon_fontawesome=”fa fa-chevron-right” use_custom_fonts_h2=”true” btn_button_block=”true” btn_add_icon=”true” el_class=”third_bg_color” css=”.vc_custom_1451762600590{margin-bottom: 0px !important;}”][\/vc_cta][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row css=”.vc_custom_1453470241245{margin-top: 85px !important;margin-bottom: 40px !important;}”][vc_column width=”1\/2″][vc_column_text]Machine Learning A system that improves at a task by learning patterns from data, instead of being explicitly programmed for every scenario. It’s the engine behind most of what people call “AI” in production today \u2014 fraud scoring, demand forecasting, recommendation engines.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][vc_column_text]Large Language Model (LLM) A model trained<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-177","page","type-page","status-publish","hentry"],"_hostinger_reach_plugin_has_subscription_block":false,"_hostinger_reach_plugin_is_elementor":false,"_links":{"self":[{"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/pages\/177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aleteris.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=177"}],"version-history":[{"count":3,"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/pages\/177\/revisions"}],"predecessor-version":[{"id":7043,"href":"https:\/\/aleteris.com\/index.php?rest_route=\/wp\/v2\/pages\/177\/revisions\/7043"}],"wp:attachment":[{"href":"https:\/\/aleteris.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}