{"id":1952,"date":"2023-01-06T15:25:41","date_gmt":"2023-01-06T15:25:41","guid":{"rendered":"https:\/\/www.calligo.io\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/"},"modified":"2023-11-03T15:44:44","modified_gmt":"2023-11-03T15:44:44","slug":"how-machine-learning-as-a-service-drives-improved-productivity-and-profitability","status":"publish","type":"post","link":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/","title":{"rendered":"How Machine Learning as a Service improves organizational productivity and reduces costs"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p><strong><em>By Tessa Jones, Calligo\u2019s VP of Data Science, Research &amp; Development &amp; Peter Matson, Calligo\u2019s Data Science Practice Lead.<\/em><\/strong><br><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">More than tools &amp; tech<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>85% of Machine Learning (ML) projects fail. This stark reminder from<a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2018-02-13-gartner-says-nearly-half-of-cios-are-planning-to-deploy-artificial-intelligence\"> Gartner<\/a> \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning &#8211; that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.<\/p>\n\n\n\n<p><strong><em>The reason your ML endeavors are failing (or not thriving) and carry the risk of costing your business eye watering amounts is because one or two Data Science experts are not enough. You need a minimum of six unique skill sets.<\/em><\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">ML overwhelm<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>If you\u2019re reading this, you may be interested in building Machine Learning solutions, because you know they can reap huge rewards for your scaling business. But it can feel overwhelming \u2013 because you also know that ML is easy to get wrong, and can drain your budget. It\u2019s a long-term commitment. And now we\u2019ve told you will need a small army of capabilities.<\/p>\n\n\n\n<p>But there is a new way \u2013 Machine Learning as a Service where you can hire an entire end-to-end Data Science team with the required technology, rather than recruiting one or two permanent positions and on-boarding new and expensive tech. Buying \u2018people as a service\u2019 essentially. Faster outcomes, decreased costs, greater value. More on this in a moment\u2026<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Machine Learning tools: offerings and shortcomings<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>There are more Machine Learning tools on the market than ever before. Suppliers like Google\u2019s<a href=\"https:\/\/cloud.google.com\/automl\"> AutoML<\/a>, Microsoft\u2019s<a href=\"https:\/\/azure.microsoft.com\/en-gb\/\"> Azure<\/a>,<a href=\"https:\/\/www.datarobot.com\/\"> DataRobot<\/a>,<a href=\"https:\/\/www.dataiku.com\/\"> Dataiku<\/a> and others have positioned themselves as off-the-shelf\/\u2018out of the box\u2019 solutions for all your Machine Learning needs.&nbsp;<\/p>\n\n\n\n<p>These kinds of solutions offer quick ways to gather insights from data. They can be excellent tools for building prototypes and frameworks to support deployment and ongoing management of models. They can also fully automate the model building process &#8211; which means organizations can have their hands on a deployable model within days.&nbsp;<\/p>\n\n\n\n<p>However\u2026what is an optimal ML target? Is it statistically sound? How much compute do we need?&#8217;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Back in the box<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Out of the box solutions can\u2019t give you the answers. There\u2019s no end-to-end service. And by that we mean, none of them allows you to buy \u2018people as a service\u2019. You load your data into their system, a model is built automatically and you\u2019ll get access to the outputs. But you still need to do a lot to get those results&nbsp; &#8211; build and maintain the model, integrate it into the business, keep it productionized and in a state that provides continuous value. These tools also can\u2019t support your data security, privacy, or governance needs.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Cue the first Machine Learning as a Service of its kind<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Now it\u2019s time to introduce the six (people) roles and responsibilities you need to develop, deploy and monitor Machine Learning &#8211; to pave the way for long-term success:<\/p>\n\n\n\n<p>1.&nbsp; &nbsp; &nbsp; <strong>Business Translator: <\/strong>helps explain how to frame the business problem into an ML problem.<\/p>\n\n\n\n<p>2.&nbsp; &nbsp; &nbsp; <strong>Data Scientist<\/strong>: analyzes and processes the data, builds, and tests and monitors ML models.<\/p>\n\n\n\n<p>3.\u00a0 \u00a0 \u00a0 <strong><a href=\"https:\/\/www.calligo.io\/services\/data-engineering\/\">Data Engineer<\/a><\/strong>: manages how the data is collected, processed, and stored.<\/p>\n\n\n\n<p>4.&nbsp; &nbsp; &nbsp; <strong>Platform Engineer<\/strong>: builds and maintains specialized tools and infrastructure, integration with existing processes.<\/p>\n\n\n\n<p>5.\u00a0 \u00a0 \u00a0 <strong>ML <a href=\"https:\/\/www.calligo.io\/services\/data-architecture\/\">Architect<\/a><\/strong>: develops blueprints and orchestration processes and identifies risks.<\/p>\n\n\n\n<p><strong>6.&nbsp; &nbsp; &nbsp; Software Developer: <\/strong>builds and maintains robust and relatable interfaces for end users.<\/p>\n\n\n\n<p>And then there\u2019s a non-human no.7: the heavy-lifting technology. A full end-to-end tech stack to facilitate automation, optimize deployment &#8211; with ongoing monitoring.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><em>Not<\/em> \u2018Jacks of all trades\u2026\u2019<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>These are all Masters of their own expertise. They are very purposefully <strong>not <\/strong>\u2018Jacks of all trades\u2019.&nbsp; Rather, deep, unique skill sets that together form integral parts of the ML chain. Collectively this brings extraordinary business value.<\/p>\n\n\n\n<p>And here\u2019s the differentiator: rather than recruiting one, two, three Machine Learning experts \u2013 who can never possess all the skills listed above \u2013 you can hire six, for a fraction of the price. Like a timeshare apartment, you secure the property you want, for when you want it \u2013 without paying all year round for the luxury.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Minimal IT, no Data Scientists or ML technology<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Let\u2019s put Machine Learning as a Service (MLaaS) into an (anonymous) Calligo client context. An insurance provider uses ecommerce services to generate its customer base. And it allows end users to search for quoting estimates across many different providers. Initial quotes are generated based on the end user\u2019s risk parameters \u2013 but the final pricing always needs to be dynamic and adaptable relative to their competitors.<\/p>\n\n\n\n<p>The insurance provider had a small IT team and no <a href=\"https:\/\/www.calligo.io\/services\/data-science\/\">Data Scientists<\/a>. It had attempted using out of the box solutions that promised valuable price optimization modeling. But the output was too binary and did not recommend price changes. Put simply, it didn\u2019t work. Cue Calligo\u2019s MLaaS \u2013 that introduced a production ML model that continuously optimizes pricing, with minimal human requirements. Our client now has confidence in its pricing strategy and can see the end user characteristics that most impact price adjustments. The increased revenue potential was $3.1 million a year, generating great profit for the insurance specialists by targeting the right customers with the right price.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">De-risking Machine Learning for businesses<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>Not only that, but its Machine Learning has now been de-risked. Making ML useful is a really hard task. There is a high risk of failure and if things go wrong, it\u2019s expensive. Really expensive.<\/p>\n\n\n\n<p>Machine Learning as a Service is the first of its kind because it simultaneously overcomes these six obstacles to adoption:<\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Cost<\/strong><\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Usability<\/strong><\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Technology<\/strong><\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Security<\/strong><\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Data privacy<\/strong><\/p>\n\n\n\n<p>\u00b7&nbsp; &nbsp; &nbsp; <strong>Applied expertise<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Human brains &amp; smart machines<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>The blend of the human factor and machine is critical in delivering excellent Machine Learning solutions for your business.<strong> <\/strong>You no longer have to build your own (limited\/ expensive) infrastructure or rely on off-the-shelf solutions that lack human input and monitoring.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">As a reminder, Machine Learning:<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>-It is difficult to make useful.<\/p>\n\n\n\n<p>-Carries a high risk of failure.<\/p>\n\n\n\n<p>-Hugely costly if things go wrong.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Machine Learning as a Service is therefore the future. An extension of your team, your very own small army of ML experts \u2013 rented, not permanently recruited, deployed for the time you need to get your ML arsenal fired up and reeling in value and profitability. Learn more about our Machine Learning as a Service <a href=\"https:\/\/www.calligo.io\/services\/machine-learning-as-a-service\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>, or<a href=\"https:\/\/www.calligo.io\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\"> get in touch<\/a> to chat about how our ML experts can best support your business goals.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Tessa Jones, Calligo\u2019s VP of Data Science, Research &amp; Development &amp; Peter Matson, Calligo\u2019s Data Science Practice Lead. More than tools &amp; tech 85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about [&hellip;]<\/p>\n","protected":false},"author":33,"featured_media":1953,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[38],"tags":[],"post_format_type":[40],"class_list":["post-1952","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo<\/title>\n<meta name=\"description\" content=\"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo\" \/>\n<meta property=\"og:description\" content=\"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\" \/>\n<meta property=\"og:site_name\" content=\"Calligo\" \/>\n<meta property=\"article:published_time\" content=\"2023-01-06T15:25:41+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-03T15:44:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1600\" \/>\n\t<meta property=\"og:image:height\" content=\"900\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Brendan Walsh\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@calligocloud\" \/>\n<meta name=\"twitter:site\" content=\"@calligocloud\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Brendan Walsh\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\"},\"author\":{\"name\":\"Brendan Walsh\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/e2e0283a3e6c3a237a10e012c081755f\"},\"headline\":\"How Machine Learning as a Service improves organizational productivity and reduces costs\",\"datePublished\":\"2023-01-06T15:25:41+00:00\",\"dateModified\":\"2023-11-03T15:44:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\"},\"wordCount\":1171,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.calligo.io\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg\",\"articleSection\":[\"Machine Learning\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\",\"url\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\",\"name\":\"How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo\",\"isPartOf\":{\"@id\":\"https:\/\/www.calligo.io\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg\",\"datePublished\":\"2023-01-06T15:25:41+00:00\",\"dateModified\":\"2023-11-03T15:44:44+00:00\",\"description\":\"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg\",\"width\":1600,\"height\":900},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.calligo.io\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How Machine Learning as a Service improves organizational productivity and reduces costs\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.calligo.io\/#website\",\"url\":\"https:\/\/www.calligo.io\/\",\"name\":\"Calligo\",\"description\":\"Building value through data\",\"publisher\":{\"@id\":\"https:\/\/www.calligo.io\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.calligo.io\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.calligo.io\/#organization\",\"name\":\"Calligo\",\"url\":\"https:\/\/www.calligo.io\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"width\":1200,\"height\":630,\"caption\":\"Calligo\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/calligocloud\",\"https:\/\/www.linkedin.com\/company\/calligo-limited\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/e2e0283a3e6c3a237a10e012c081755f\",\"name\":\"Brendan Walsh\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/299d5b23f0682aabb1a2347ddf8b95df04b22cfec378aea17a8f7395c74b2bc8?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/299d5b23f0682aabb1a2347ddf8b95df04b22cfec378aea17a8f7395c74b2bc8?s=96&d=mm&r=g\",\"caption\":\"Brendan Walsh\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo","description":"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/","og_locale":"en_GB","og_type":"article","og_title":"How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo","og_description":"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.","og_url":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/","og_site_name":"Calligo","article_published_time":"2023-01-06T15:25:41+00:00","article_modified_time":"2023-11-03T15:44:44+00:00","og_image":[{"width":1600,"height":900,"url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg","type":"image\/jpeg"}],"author":"Brendan Walsh","twitter_card":"summary_large_image","twitter_creator":"@calligocloud","twitter_site":"@calligocloud","twitter_misc":{"Written by":"Brendan Walsh","Estimated reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#article","isPartOf":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/"},"author":{"name":"Brendan Walsh","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/e2e0283a3e6c3a237a10e012c081755f"},"headline":"How Machine Learning as a Service improves organizational productivity and reduces costs","datePublished":"2023-01-06T15:25:41+00:00","dateModified":"2023-11-03T15:44:44+00:00","mainEntityOfPage":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/"},"wordCount":1171,"commentCount":0,"publisher":{"@id":"https:\/\/www.calligo.io\/#organization"},"image":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage"},"thumbnailUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg","articleSection":["Machine Learning"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/","url":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/","name":"How Machine Learning as a Service improves organizational productivity and reduces costs | Calligo","isPartOf":{"@id":"https:\/\/www.calligo.io\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage"},"image":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage"},"thumbnailUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg","datePublished":"2023-01-06T15:25:41+00:00","dateModified":"2023-11-03T15:44:44+00:00","description":"85% of Machine Learning (ML) projects fail. This stark reminder from Gartner \u2013 despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it\u2019s about how they\u2019re put into production by experts. Plural. Machine Learning - that improves productivity and profitability by finding valuable insights buried deep in your company databases \u2013 needs a small army to leverage it. An entire MLOps collective \u2013 from platform engineers to software developers, business translators. And yes, Data Scientists.","breadcrumb":{"@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#primaryimage","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/iStock-1127788798-scaled-1600x900-1.jpg","width":1600,"height":900},{"@type":"BreadcrumbList","@id":"https:\/\/www.calligo.io\/insights\/machine-learning\/how-machine-learning-as-a-service-drives-improved-productivity-and-profitability\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.calligo.io\/"},{"@type":"ListItem","position":2,"name":"How Machine Learning as a Service improves organizational productivity and reduces costs"}]},{"@type":"WebSite","@id":"https:\/\/www.calligo.io\/#website","url":"https:\/\/www.calligo.io\/","name":"Calligo","description":"Building value through data","publisher":{"@id":"https:\/\/www.calligo.io\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.calligo.io\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/www.calligo.io\/#organization","name":"Calligo","url":"https:\/\/www.calligo.io\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","width":1200,"height":630,"caption":"Calligo"},"image":{"@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/calligocloud","https:\/\/www.linkedin.com\/company\/calligo-limited\/"]},{"@type":"Person","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/e2e0283a3e6c3a237a10e012c081755f","name":"Brendan Walsh","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/299d5b23f0682aabb1a2347ddf8b95df04b22cfec378aea17a8f7395c74b2bc8?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/299d5b23f0682aabb1a2347ddf8b95df04b22cfec378aea17a8f7395c74b2bc8?s=96&d=mm&r=g","caption":"Brendan Walsh"}}]}},"_links":{"self":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts\/1952","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/comments?post=1952"}],"version-history":[{"count":0,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts\/1952\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media\/1953"}],"wp:attachment":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media?parent=1952"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/categories?post=1952"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/tags?post=1952"},{"taxonomy":"post_format_type","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/post_format_type?post=1952"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}