To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to […]
ADV Slides: Estimating the Total Costs of Your Cloud Analytics Platform
Estimating the Total Costs of Your Cloud Analytics Platform from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed […]
5 Ways Data Can Help Save the Planet
A sustainable and equitable world is the holy grail – a world in which planet comes before profit; where equality, diversity, and inclusion are a prerequisite; and where ethics are baked into every aspect of our society and business. While this may seem like decades away from becoming a reality, there is hope. If the UN […]
The Intersection of Self-Service Analytics and Machine Learning
The terms “self-service analytics” (SSA) and “machine learning” (ML) are frequently used interchangeably, but the concepts behind these terms are a world apart. In self-service analytics, specific tools are designed to aid the user in inputting data or interpreting results (output). On the other hand, a machine learning algorithm is a special software that has […]
How Low-Code Is Bridging the Gap Between Data Scientists and Businesses
Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer scientists argue in favor of low-code software for data scientists, there is an argument to […]
10 Actionable Steps to Create a Data-Driven Culture
By capitalizing on your data assets, do you want to acquire fruitful outcomes and actionable insights to make more informed and rational business decisions? To make your business a purely data-driven entity with a highly streamlined and targeted approach, you must embrace the change dictated by the valuable insights from the correct data analysis. By […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]
Five Ways Decision Intelligence Helps Accelerate Data-Driven Decision-Making
With 2022 well underway, many businesses are deploying new data-driven strategies and models to promote growth, accelerate digital transformation, and increase operational efficiency. However, to maximize success, enterprise leaders must incorporate decision intelligence and data-driven insights into their decision-making processes. Decision intelligence is an approach that can help ease the burden of data analysis and […]
Data Ethics – From Abstract to Action
It’s not surprising businesses are starting to sit up and take note of data ethics. The headlines provide a stark reminder of why it’s important. Whether that’s certain customers paying much higher insurance premiums, AI hiring systems favoring white men, risk assessment tools sending the wrong people to prison, or credit card companies giving lower credit ratings to women. Any organization […]
Data Scientist vs. Data Engineer
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 […]