The Background of Data Science Roles It was thought a few years ago that 2018 would amount a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert data scientists. However, the buzz from Gartner, which said more than 40 percent of Data Science […]

The post Data Scientist vs. Data Engineer appeared first on DATAVERSITY.

Braving the global pandemic for the past two years has changed online transactions for consumers and businesses alike. As a result, the digitization of customer online activity with retailers and other businesses has become the preferred way to engage. According to my company’s Global Insights Report, there has been a 25% annual increase in online consumer […]

The post How AI Is Modernizing Online Transactions appeared first on DATAVERSITY.

Investing in leadership skills as well as data skills allows organizations can ensure that they can have decisive marketplace and intra-organizational impacts. The Chief Data Officer (CDO) role is only a few years old, and many organizations still don’t have a CDO. Data Literacy is an essential component to all of this. In a recent […]

The post Data Literacy Trends in 2022 appeared first on DATAVERSITY.

The 2021 tech world was as busy as it has ever been, thanks to the continued challenges presented by the COVID-19 pandemic. And this is particularly true for conversational AI. From insurance to retail, businesses are doubling down on their technology investments and broader digital transformation efforts as they try to adapt to the expectations […]

The post 2022: The Dawn of Next-Gen Conversational AI? appeared first on DATAVERSITY.

Risks often dominate our discussions about the ethics of artificial intelligence (AI), but we also have an ethical obligation to look at the opportunities. In my second article about AI ethics, I argue there is a way to link the two.  “Our future is a race between the growing power of technology and the wisdom with […]

The post AI Ethics: Risk and Opportunity appeared first on DATAVERSITY.

Disconnects between development, operations, data engineers, and data science teams might be holding your organization back from extracting value from its artificial intelligence (AI) and machine learning (ML) processes. In short, you may be missing the most essential ingredient of a successful MLOps environment: collaboration. For instance, your data scientists might be using tools like JupyterHub or […]

The post 3 Strategies for Creating a Successful MLOps Environment appeared first on DATAVERSITY.

Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […]

The post Forthcoming AI Regulation Makes Data Management Imperative appeared first on DATAVERSITY.

“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]

The post Working Towards Explainable AI appeared first on DATAVERSITY.

Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day.  In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]

The post How Analytics Shapes Our Music Tastes in the Era of Digital Streaming appeared first on DATAVERSITY.

Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]

The post Knowledge Graph Standards in Ambient Computing appeared first on DATAVERSITY.

Digital transformation powered by automation has changed the way organizations around the world operate. It’s sped up product and service delivery. It’s created operational efficiencies throughout the business. But automation has its limits. Traditional automation uses tags and triggers to initiate the next event in a sequence. It certainly keeps things moving, but it falls […]

The post Hyperautomation Projects Will Unleash the Next Phase of Digital Transformation appeared first on DATAVERSITY.

The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity and understanding is built on the backs of data scientists and is lost when they […]

The post 4 Reasons Data Scientists Leave (and How to Retain Top Talent) appeared first on DATAVERSITY.