Shareable AI in one click.

There are a couple major problems in the AI industry: A lack of reproducibility and a lack of transparency.

In simpler terms, there’s tons of AI research that no one can make sense of. There are well over one and a half million published papers, but not nearly as many that can actually be replicated and understood.

In a meta-analysis of 400 AI research papers, none of them were fully documented or reproducible. Another study showed that just 15% of research papers share their code.

In short, the AI industry itself is notoriously opaque and confusing.

Sharing AI

Imagine if you could…

A no-code guide.

Cross-selling is simply when you sell one item alongside another that a customer already planned on buying.

Say you go on Amazon to buy some green tea — Amazon might recommend a mug and a water heater to go along with it. If you go to buy a laptop on Newegg, the store might recommend a laptop stand and a carrying case. If you’ve ever been asked, “do you want fries with that?”, then you’re already familiar with the idea of cross-selling.

The Complexities of Cross-Selling

However, it’s not as simple as it may seem at first glance, especially when you’re dealing with hundreds…

Get ahead. 📕

Bill Gates, Elon Musk, Oprah Winfrey, and Mark Zuckerberg all have one thing in common (besides being multi-billionaires).

They read. A lot.

In fact, Bill Gates says that reading is the main way he learns, and Oprah says reading was her path to personal freedom.

99% of content is entertainment, so it can be hard to find the right things to read.

eBooks are a good middleground between frivolous social media posts and dense research papers. They won’t take all your time — but they’ll bring value. …

Three simple steps.


20 million e-Commerce sites are generating trillions of dollars in revenue, selling goods and services to over 2 billion people. It’s more competitive than ever, especially as giants like Amazon siphon away sales from smaller stores.

At the same time, it’s often incredibly difficult to convert the visitors you do get, and the average e-Commerce store converts not even 3% of its visitors.

Given these pressures, e-Commerce stores need to find creative ways to increase sales.

Using No-Code AI

Shoppers create data every time they take an action, whether that’s clicking on a particular product, opening an image, adding or removing a cart…

How thousands of companies are using Artificial Intelligence — a 2020 rewind.

2020has been a hard year for a lot of us. However, there’s always a silver lining, and 2020 has been remarkable for the AI industry.

Without further ado, here are some of the top AI adoption trends that we’ve seen in 2020.

A hands-on guide.

Imagine you’re filling a bucket with water, but there’s a hole at the bottom. Increasing the amount of water you pour in is just inefficient — you need to patch the hole.

If your business has low conversion rates, then that’s what your funnel looks like: A leaky bucket. You could get a thousand leads for your product or service, but if the offer doesn’t resonate, you still won’t get conversions.

Fortunately, the myriad of business tools in use nowadays double as data-collectors, which can act as fuel for machine learning models. For example, two wildly popular sales CRMs are…

A simple guide.

Attrition is simply when an employee quits, which can be incredibly expensive, as employers need to either find and train new talent, or re-distribute work to current employees, increasing their work burden.

LinkedIn offers a handy tool to estimate the cost of attrition at your organization — which is around 50% the cost of an entry-level employee’s salary or 250% the cost of a leader-level employee’s salary.

And what to use instead.

Deep learning — a subset of machine learning where big data is used to train neural networks — can do incredible things.

Even amidst all the mayhem of 2020, deep learning brought astonishing breakthroughs in a variety of industries, including natural language (OpenAI’s GPT-3), self-driving (Tesla’s FSD beta), and neuroscience (Neuralink’s neural decoding).

However, deep learning is limited in several ways.

Deep Learning Lacks Explainability

In March 2018, Walter Huang was driving his Tesla on Autopilot in Mountain View, when it suddenly crashed into a safety barrier at 70mph, taking his life.

Many AI systems today make life-or-death decisions, not just self-driving cars. We…

Superintelligence, brain-AI interfaces, and self-driving cars.

Artificial Intelligence has slowly been turning SciFi into reality since the 1950s, but has really taken off in the past few years, thanks to a few major AI efforts.

At Obviously.AI, we’re focused on the day-to-day AI that makes a difference for normal companies — things like KPI optimization and automation. That said, it’s always intriguing to look ahead and see what might be possible in the future.

Without further ado, let’s take a look at three AI projects to watch in 2021.

1. OpenAI

If anyone had a good year, it’s OpenAI. In June, they started rolling out the beta of…

Here’s how small data can make a big impact.

Big Data in the News

When we hear about Artificial Intelligence in the news, it’s usually about some shiny new breakthrough built using big data — things like Tesla’s self-driving cars, OpenAI’s text generators, or Neuralink’s brain-computer interfaces.

Small Data in Real Life

However, as with much of what we read in the news, these are outliers. In reality, most AI projects look completely different. Most of us aren’t trying to create superintelligence, we’re just trying to optimize KPIs, whether it’s churn, attrition, sales, traffic, or any of a million other metrics.

And to optimize KPIs, you don’t need big data. The most common sources of data for KPI optimization…

Obviously AI

Making Data Science Effortless for Everyone.

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