Sentiment Analysis

Three Ways that Sentiment Analysis Benefits Business

In a broad sense, sentiment analysis means using machines to gauge public, demographic, group, or individual sentiment (hence the name) toward a particular thing, whether that be a product, person, or advertisement. An AI model will intake a set of consumer-generated information — such as reviews on the newest iPhone or ‘tweets’ to the President’s Twitter account — and return the emotions expressed within that content.

AI

How Businesses Can Ride the AI Wave to Modernization

Leveraging Machine Learning for Your Business Artificial intelligence (AI) is rapidly becoming a technology staple across industries. According to Gartner, “AI adoption has tripled in the past year [2019-2020], and [it is] a top priority for CIOs.” Forward-looking business leaders have noticed that machine learning presents a significant streamlining advantage in areas such as finance,…

outsourcing AI

Cut Costs by Outsourcing AI Development

Cut Costs by Outsourcing AI Development How can you cut the cost of deploying artificial intelligence (AI) for your business — without sacrificing quality? A skilled, full-time data scientist salary will cost your company at least $200,000 per year (factoring in base salary, payroll tax, workers’ compensation, insurance, and other expenses). And that staggering toll…

AI Thought Leadership

Our New AI Thought Leadership Program

We wanted to share some exciting news about our new AI thought leadership program. Since our founding in 2017, we have partnered with over 40 clients to deliver AI, data science, and data engineering services. Given the rapidity of change in this space, it’s important visionaries and thought leaders share ideas and stories about the…

A Picture is Worth a Thousand Lines in a Table

We’ve all heard “a picture is worth a thousand words”. But is it really? Upon reflection, this truism fails outside of, say, advertising, some works of fine art, and now, perhaps, in the area of computing. When it comes to representing the kind of data we encounter most in life, a picture is worth quite…

Unlocking the Potential of AI: Learn, Partner, and Question

We haven’t come close to realizing the potential promised by Artificial Intelligence. According to Gartner’s Hype Cycle for Emerging Technologies 2018, which evaluates everything from Smart Fabrics to Blockchain to various AI tech including General and Edge AI and AI PaaS, only Deep Neural Nets (Deep Learning) has reached the “Peak of Inflated Expectations.” That…

Reduce the Cost of (and Risk to) Adopting AI

One of the major deterrents for any business looking to integrate AI is the price tag. This is not an unfounded assumption… if you’re looking to build an in-house R&D lab, that is. You don’t have to bulk up your own team with six-figure-salary researchers in order to integrate AI into your information infrastructure or…

AI Should Still be Left to the Experts

And at the moment, those experts come from academia. There’s a misguided assumption that AI is data science. It’s not (although data is the fuel). To truly understand the complexities of these algorithmic models and to customize them to your business needs, you need someone trained at the forefront of machine learning and AI. Every…

Part 3 of 3: Understanding AI’s Application in Industry – Unique, Streamlined, and Affordable

Simple machine learning frameworks offer valuable opportunities to test AI’s efficacy at streamlining simple business processes. But for most department heads, buying an “AI-in-a-box” solution has hidden costs lurking behind every customization (some even doubt any future for out-of-the-box AI). And for any real deep learning application, customization is key. Until industry has more general…