Burning Questions
Mar
Responsible AI – What Causes Bias in Training Data?
jerry9789 0 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
Artificial Intelligence (AI) is becoming a critical component of digital marketing. AI in marketing can be particularly revelatory, often delivering valuable insights that marketers can use to develop personalized content, drive conversions, and improve customer experience. Such insights help develop effective marketing strategies, which increase Return on Investment (ROI) for AI implementations.
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
Data Science Team: Build or Rent?
Eric Layland 0 comments artificial intelligence, Burning Questions
Building an Efficient & Effective Data Science Team
There are numerous reasons why a company may decide to develop a data science team in their organization. The skills an in-house team brings can enable organizations to turn raw data into strategic assets. Their skills lead to better use of data assets including understanding customer behavior, error detection, automation of repetitive tasks, and overall more sophisticated decision support. A data-driven organization can benefit and gain a competitive edge.
However, building an effective and efficient data science team is not as simple as adding new hires. Before we can discuss whether to rent or build a team of experts, it’s essential to understand the roles typically needed to fully staff a data science team.
The included salary estimates do not include benefits. The figures are an average of the latest available data from Salary.com, PayScale and ZipRecruiter and reflect US labor markets.
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
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.
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.
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