{"id":22464,"date":"2020-11-26T07:54:53","date_gmt":"2020-11-26T07:54:53","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/automated-machine-learning-becoming-must-have-bi-skill\/"},"modified":"2023-10-04T12:20:55","modified_gmt":"2023-10-04T12:20:55","slug":"automated-machine-learning-becoming-must-have-bi-skill","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/automated-machine-learning-becoming-must-have-bi-skill\/","title":{"rendered":"Why Automated Machine Learning Is Becoming a Must-Have Business Intelligence Skill"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

The business intelligence (BI) landscape is changing.\u00a0Traditionally, BI analysts used dashboarding and analytics tools like Microsoft Excel, Microsoft Power BI and Tableau. However, analytics tools are rapidly evolving, and BI analysts are expected to evolve alongside industry advancements. In particular, predictive analytics used to be in the domain of more technical employees, but today, no-code automated machine learning ( AutoML<\/a>) tools mean anyone can deploy AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

The business intelligence (BI) landscape is changing.\u00a0Traditionally, BI analysts used dashboarding and analytics tools like Microsoft Excel, Microsoft Power BI and Tableau. However, analytics tools are rapidly evolving, and BI analysts are expected to evolve alongside industry advancements. In particular, predictive analytics used to be in the domain of more technical employees, but today, no-code automated machine learning ( AutoML<\/a>) tools mean anyone can deploy AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Looking at BI Analyst job offerings, we can see that many now ask for AI skills because they want someone who can deploy predictive models that actively impact the company, instead of passive analytics like dashboards.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

For example, several LinkedIn job postings for \u201cbusiness analysts\u201d and \u201cbusiness intelligence specialists\u201d now ask for knowledge in machine learning, modeling and predictive analytics.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

What Are The AutoML Tools To Learn?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

There\u2019s a huge variety of AutoML tools out there, which begs the question: What should you learn?\u00a0<\/em>Fortunately, the best AutoML tools are the easiest to figure out, so these are nothing like learning Python, R or SQL<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Nontechnical Options<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

If you\u2019re less technical, then no-code tools like\u00a0Obviously.AI<\/a>\u00a0are the way to go because you can start making predictions from tabular data in minutes, with virtually no set-up process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

RunwayML\u00a0is my go-to for creative, video or image-based applications of AI, such as generating images and recognizing objects<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

The Verge\u00a0described <\/a>GPT-3 as an \u201cauto-generating text program,\u201d and the GPT-3 Playground offers simple GUI-based input-output functionality, so it\u2019s not a stretch to call GPT-3 an AutoML tool as well.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Technical Options<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

If you\u2019re more technical, then Google\u2019s AutoML suite may be more suited to your needs because it\u2019s extremely feature-rich. That being said, it will naturally take a lot longer to get up and running, as well as to maintain. You\u2019ll also want to be careful not to rack up expenses because pricing isn\u2019t as straightforward as some of the other options.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

The biggest mainstream competitors to Google\u2019s AutoML include Microsoft\u2019s Azure AI and Amazon\u2019s AutoGluon, which are similarly feature-rich, but complex.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

How To Get Started<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Deploying AI in your organization is first about creating clarity of purpose. What business challenges are you facing? What data do you have available? If there\u2019s an overlap between your answers (e.g., if you have data around KPIs like customer churn, traffic or conversions), then that may be a ripe use case to tackle.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Most likely, your organization analyzes many KPIs, and you\u2019ll have tabular data around several. In that case, you\u2019ll want to prioritize the KPIs that are most important to your organization, and score use cases accordingly. For instance, traffic may be less important to you than conversions, so you\u2019d want to tackle the latter use case first.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Anyone in a technology-related position, including in business intelligence, should be a lifelong learner and make sure they\u2019re staying up to date with tools that can help their organizations succeed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Today, that means learning AutoML tools, finding meaningful use cases and deploying AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Predictive analytics used to be in the domain of more technical employees, but today, no-code automated machine learning (AutoML) tools mean anyone can deploy AI.<\/p>\n","protected":false},"author":987,"featured_media":18007,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[226,653,654,387,125,140],"ppma_author":[3789],"class_list":["post-22464","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-ai","tag-automated-machine-learning","tag-automl","tag-bi","tag-business-intelligence","tag-predictive-analytics"],"authors":[{"term_id":3789,"user_id":987,"is_guest":0,"slug":"joey-bertschler","display_name":"Joey Bertschler","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/b88219b59e0920a04c5567c6c0d3c88b81462fe5be9da3942b91a10ae689eb39?s=96&d=mm&r=g","user_url":"https:\/\/www.bitgrit.net","last_name":"Bertschler","first_name":"Joey","job_title":"","description":"Joey Bertschler is Digital Marketer at Bitgrit, a platform offering a global network and community for data scientists to interact with each other. He publishes articles across many outlets from Forbes to Hacker Noon and publicly speak at events such as StepX, E-HQ, and others. He is a member of YEC, MIT Technology Review and more."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22464","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/987"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=22464"}],"version-history":[{"count":4,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22464\/revisions"}],"predecessor-version":[{"id":33213,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22464\/revisions\/33213"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/18007"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=22464"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=22464"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=22464"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=22464"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}