Burning Questions
Feb
“Data Scientist in Residence”, “Chief Data Officer”, “Big data engineer”…the data science buzzword du jour is “Data Scientist.” These data scientists are part data analyst, part statistician and part software developer. With data quickly becoming a top strategic business priority for many companies, the need for data scientists will only increase – especially as we move toward an ever more data-driven world.
If data represents a strategic asset for your company, then you should be wondering if a data science team is needed and is it better to buy or rent the talent? Data analysis can be done by anyone with analytical skills, right? Well, the functions of a data scientist on a data science team are broader than initially meets the eye….and they typically need to work closely with data analysts and subject matter experts.
Data Scientists are in demand, and the salaries for US-based professionals can easily reach six-figure levels (about $120K + benefits according to Indeed). The number of data science jobs is expected to grow by 24% over the next five years. But do you really need a team of data scientists?
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
At The Core of Marketing Decision Making: Advanced Analytics
jerry9789 0 comments artificial intelligence, Burning Questions
Advanced Analytics is an encompassing term that is used to categorize techniques and technologies that seek to understand what happened in detail or to predict what may happen with an unmatched degree of precision. We use the term to encompass services that include Data Science, Artificial Intelligence, or AI and related technologies. The field of AI-powered Advanced Analytics draws on various aspects of neuroscience, statistics, mathematics, and computer science. But perhaps more critically, it is heavily influenced by the disciplines of philosophy and psychology to understand human motivations.
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.
Jan
8 Questions Every Brand or Product Manager Needs to Ask
jerry9789 0 comments artificial intelligence, Burning Questions
The 8 “SIMPLE” questions every data-driven Brand Marketer or Product Manager needs to ask themselves about their strategy in order to build proper tactics. When it comes to digital marketing & strategy – the best flashlight is a well-formed question. Below are a few “simple questions” that cross both product and business applicability to help you achieve your goals.
Jan
Leadership in 2023 Begins with Advanced Analytics
jerry9789 0 comments artificial intelligence, Burning Questions
Since the advent of Big Data Analytics over a decade ago, the challenge has been to gather the data so that you can see the data and display it in such a way as to allow it to be useful in the day-to-day processes of a business. Dashboards are very popular for this exercise— and rightly so. However, your dashboards are a crutch used to identify things from the past and correct them. They help you learn the 6… 8… or 10 things that your team needs to work on in a given amount of time. But they give you false KPIs.
Dec
Leadership vs. Management in Change and Crisis
jerry9789 0 comments artificial intelligence, Burning Questions
There’s a fascinating emerging set of literature on true leadership (versus management) of crises. One of the signal books in this genre is Upstream: The Quest to Solve Problems Before They Happen by Dan Heath. The author explains that true leaders are people whose names you don’t know. Why is that? Because true leaders use tools such as Latent Effects Modeling to discover in time T1 (i.e., now) what they will need to be worried about in time T3 (i.e., years later, when the bad thing could actually occur).
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.
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