According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Your senior execs and managers want to leverage data and information […]
Mitigating NLP Bias
NLP, natural language processing, is a subfield of linguistics, computer science, and AI that is concerned with interactions between computers and human language. NLP allows computers to process large amounts of natural language data. Specifically, NLP enables computers to process speech and text, interpret, and detect which parts of speech are more important than others by deciphering […]
Advances in Data Warehouses
Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety of applications and databases. It acts as a single repository, which an organization can access with BI (business intelligence) and analytics tools, before making decisions. A data warehouse provides faster processing […]
AI in Health Care: Trends and Challenges in 2022
Around this time last year, the 2021 AI in Healthcare Survey was released. The results showed growth in natural language processing (NLP), clinicians becoming primary users of AI technology, and a preference for companies using their own data to validate models, among other findings. And while the results didn’t change significantly from last year, there […]
Small and Medium-Sized Businesses Need Self-Serve Advanced Analytics
If your small or medium-sized business (SMB) is looking for ways to improve forecasting, problem-solving, and market opportunities, it must embrace self-service advanced analytics that allow business users to leverage their role, their knowledge of their business function, and their collaborative initiatives to gather, analyze, and share information and improve business results. According to Gartner, natural […]
How Data Automation Is Reshaping Pharma Regulatory Publishing
Pharmaceutical regulators are facing ever-evolving, complex, and stringent requirements for the regulatory approval of new and existing products on the market. What’s more, as technology changes our ability to capture data from more sources, the volume of data in the life sciences sphere is growing exponentially, creating a challenging data analytics paradigm. The key is how to […]
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 […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
10 Key Data Mining Challenges in NLP and Their Solutions
Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
The Fundamentals of Deep Reinforcement Learning
Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]