Jan
Do You Need To Hire A Data Scientist?
jerry9789 0 comments artificial intelligence, Burning Questions
Is It Time To Hire A Data Scientist?
Data and analytics have taken the business world by storm – finally! It’s been a long time coming though many may say they’ve always used data to support decision making. While true for some, the rise of Data Science from the back office to the boardroom conversations as the most in-demand position is relatively new. From finance and manufacturing to marketing and operations, data science has extended its hand to have application in almost all business aspects.
But what makes this role in such high demand? If you’re contemplating whether or not to build an in-house team, we’ll shed some light on the role Data Scientists play and considerations you’ll want to understand before making a decision.
Jan
Curious About AI in Marketing? 7 Critical Questions
jerry9789 0 comments artificial intelligence, Burning Questions
Artificial Intelligence(AI) has recently been integrated into marketing and is still in its early stages. It makes automated decisions based on available data and audience observations or economic trends that impact marketing. By doing so, it enables marketers to gain more insight and understanding of their target audiences.
However, a business must comprehend how AI Marketing works and its effects before adopting it. Here are seven questions every company interested in AI Marketing should ask themselves.
Dec
Latent Effects Modeling with AI & Machine Learning
jerry9789 0 comments artificial intelligence, Burning Questions
We’ve been posting opinions and comments that urge marketers to “get over” artificial intelligence (AI). To dive into AI’s veritable treasure house of research tools and insights, instead of circling it warily, for fear of banging into a “disruption” moment.
Marketers: use advanced analysis techniques for deeper insights
So, I hereby plant the flag of AI for the regular guy (or gal, of course) — well, at least for the professional who wants to use precise and accurate data to propel insights that simply wouldn’t be perceptible with traditional approaches to analysis.
Dec
An Artificial Intelligence Glossary of Common Terms
jerry9789 0 comments artificial intelligence, Burning Questions
Developing a basic understanding of use-cases, trends, and applications for Artificial Intelligence (AI) is helpful to understand the context in which AI is deployed. Keep in mind “AI” is sometimes considered too broad to be a distinct “field.” Rather it is a technology “concepts” with clarifying needed to properly frame discussions on the topic. Therefore we’ve assembled broad definitions to help readers develop a basic vocabulary for communicating about the subject. Think of this glossary as similar to the old Berlitz travel guides of “essential terms” for a given language.
Advanced Analytics
AI introduces a whole new vocabulary to marketing.
A part of data science that uses high-level methods and tools to focus on projecting future trends, events, and behaviors. This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations. The term is an umbrella for several subfields of analytics that work together in their predictive capabilities.
Nov
Applying AI: Healthcare Enrollment Optimization
Aleksey 0 comments artificial intelligence, Burning Questions
Proper application of AI techniques can yield clarity and precision of insights.
Here’s a case where AI rolled into the ongoing rollout of the Affordable Care Act (ACA). To avoid getting lost in the weeds, let’s just recall that there were big-money battles involving healthcare providers, the Federal government, and the confused, newly ACA-insured and wanted-to-be insured.
Nov
Truth to Marketers: AI is a tool, not THE solution
Aleksey 0 comments artificial intelligence, Burning Questions
Capable professionals know AI is a tool to aid solving problems. Alone it is not a solution.
Our previous post urged fellow marketers to “get over” the artificial intelligence (AI) hype. To stop thinking it’s all about “disruptive,” high-tech tools on the bleeding edges of the frontier. The VR goggles. The eye-tracking studies. The neuroscience applications.
Yes, there are plenty of far edges out there, and we’re often leading them for our clients from the edge into the everyday. But look, today, AI is disruptive only if you didn’t see it coming years ago. It’s now hanging out in the research tool shed with longtime favorites like (examples?)
Nov
About AI: Let’s Disrupt Your Idea of Disruption
Aleksey 0 comments artificial intelligence, Burning Questions
How Artificial Intelligence is frequently viewed from the C-Suite.
The marketing industry has been bombarding itself for years with ways to “manage” or “harness” the “disruption” brought upon us by artificial intelligence, machine learning,[insert advanced marketing buzzword here] and the like.
What do we mean by “disruption?”
We mean “OMG, scary, out-there science that’s escaped from the lab and now everyone has to wear VR goggles and get their galvanic skin responses and eyeballs tracked! WTF! How the hell do we do all that?”
info@cascadestrategies.com
2032 Newport Way NW,
Issaquah, WA 98027
(425) 677-7430