Neural networks and deep learning currently provide some of the most reliable image recognition, speech recognition, and natural language processing solutions available. However, it wasn’t always that way. One of the earliest and simplest teaching philosophies for artificial intelligence was marginally successful. It suggested that loading the maximum amount of information into a powerful computer […]
Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem
The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]
Building an MVP That Is Centered on User Behavior
Click to learn more about author Tuhin Bhatt. Everyone from Uber to Facebook and even Amazon had their initial versions as MVPs (Minimum Viable Product). Building an MVP is considered to be the first step to testing and validating a groundbreaking or audacious idea. The Build -> Measure -> Learn feedback loopis what makes an MVP […]
When It Comes to Data Collection, Transparency and Ethical Standards Are Not a Matter of Choice
Click to learn more about author Or Lenchner. Online data collection is an incredibly powerful tool. It enables you to gather real-time market intelligence effectively. By nature, online data is sourced from a wide variety of websites. Therefore, it’s essential that the companies collecting and leveraging the data have a strong ethical standard for how […]
Motifs and Mutations: The Logic of Sequence Logos
Click to learn more about author Franziska Rau. Examining Motifs Using Multiple Sequence Alignment with the SeqAn Community Extension Decoding this sequence of different species uncovered that humans and chimpanzees share perfect identity with 96 percent of their DNA sequence. Why do we look so different then? Little differences with huge effects can appear in […]
What Is Assisted Predictive Modeling?
Click to learn more about author Kartik Patel. Assisted predictive modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they […]
Slides: The Three Pillars for Effective Business Intelligence Governance
Slides: The Three Pillars for Effective Business Intelligence Governance from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Business intelligence (BI) governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of […]
Webinar: The Three Pillars for Effective Business Intelligence Governance
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Business intelligence (BI) governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of a heterogeneous environment is a daunting task. However, governance […]
Case Study: Crown College Uses Predictive Analytics to Retain At-Risk Students
Crown College in St. Bonifacius MN embraced a five-year persistence and completion project four years ago. The college’s Presidents’ Cabinet embraced persistence and completion as an improvement initiative to retain at-risk students and the school had been accepted into the Higher Learning Commission (HLC) Persistence and Completion Academy. HLC accredits colleges and universities in a […]
AI for Business: Why Perfect Is the Enemy of Good
Click to learn more about author Jon Reilly. As a co-founder of an AI startup, I spend a lot of time talking to companies working to implement AI in their organizations. More often than not, they start with a vision, excitement, and momentum — but have a hard time getting out of their own way. […]