
Mar
What if every US citizen had a dollar for every good decision made by the president and lost a dollar for every bad decision? How much would Americans have in their “Decision Account” now? What about a half-good decision? Would Americans’ Decision Account be credited for 50 cents? Clearly, the whole matter hinges on what is defined as a good or bad decision.

Mar
Responsible AI – What Causes Bias in Training Data?
jerry97890 comments artificial intelligence, Burning Questions
Over the past few decades, the use of AI in business has grown tremendously. By 2030, AI may generate up to $15.7 trillion in revenue to the global economy.
From process automation to sales forecast, the potential applications for AI in business are nearly limitless. But, you’ve still got to wonder, what happens when we place so much power on fairly new technology? Will it be fair or biased? Will it try to take over the world in the future? We don’t give the fear mongers much weight about AI taking over the world, but unchecked bias in AI data or models can lead to unintended negative consequences that do real harm.

Mar
4 Ways Data Can Help Create Sustainable Revenue Growth
There is no question that year after year, the cost of revenue (COR) generation continues to climb. Look at publicly traded companies in nearly any sector and read the reported costs associated with sales and marketing. In almost every case, the costs of acquiring revenues continue to outpace the gross revenues generated. It costs more to make the same money. In today’s world of shifting digital and economic landscapes, tapping into data in real time and extruding insights gives executives a critical tool to stay ahead of the curve. Near real-time decision making is a necessity – not a luxury.

Feb
What is Digital Transformation?
Digital transformation is the process of implementing workflows and technologies that leverage data into your business operations.
From using AI for marketing purposes to replacing paper invoices with billing apps, companies all over the world are changing their business processes, customer relations techniques, and marketing tactics.
While it may be obvious that digital transformation is unavoidable, some businesses are slow to implement it. This approach puts them behind the competition. To gain a competitive advantage in the 21st century, it’s imperative to embrace the numerous digital opportunities and integrate them with existing work processes.

Feb
Marketing AI Curious? Here’s 7 Key Questions to Ask
jerry97890 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.

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
At The Core of Marketing Decision Making: Advanced Analytics
jerry97890 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
jerry97890 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
Leadership in 2023 Begins with Advanced Analytics
jerry97890 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
Latent Effects Modeling with AI & Machine Learning
jerry97890 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.