Clinical trials are critical in developing and approving new medical treatments and technologies. These trials generate massive data that needs to be managed efficiently and accurately to ensure patient safety and successful research outcomes. The good news is that advances in AI and automation technology, such as AI-based data extraction, virtual clinical trials, and predictive analytics, […]
Building Better Insights: Enabling Real-World Data-Driven Drug Development
By 2025, the drug discovery market is expected to reach $71 billion. While recent growth in the market was largely influenced by the COVID-19 pandemic and the need for vaccinations, a need for more robust data and analytics has also contributed to the industry’s rapid development. Developing new drugs involves substantial money and time – and […]
Why Geospatial Data Should Be Easily Accessible for Every Employee
Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential. Why? Because geospatial data is voluminous, complex, and often distributed across multiple […]
How Analysts Leverage Creativity to Gain Powerful Insights from Alternative Data
Creativity is critical to producing superior results in any field, whether it’s the arts, sciences, or technology. The same can be said for alternative data analysis. The most successful data scientists apply creativity by thinking out of the box when analyzing information to solve challenging problems or understand human behavior. From investment decisions to public policy and […]
The Value of Data Analytics in the Health Care Industry
While the health care industry has lagged a bit behind other industries in adopting artificial intelligence (AI) and machine learning (ML) – and rightfully so, considering very valid security and safety concerns – its leaders have undergone a mindset shift, recognizing the value of technological innovations and data analytics. Since its implementation, data analytics has completely transformed health care, influencing […]
Automated Remediation Can Make Dashboards a Thing of the Past
A convergence of events – including the global pandemic, a shift to remote work, and increased use of the cloud – has accelerated companies’ digital transformations over the past few years and resulted in an ever-growing labyrinth of hybrid networks and endpoints. Digital transformations may have allowed companies to keep up – to a point […]
Will My Career Benefit from Becoming a Citizen Data Scientist?
As a team member within a business environment, you may be familiar with the term “citizen data scientist.” This term has been around for some time and was popularized by Gartner, which defines a citizen data scientist as “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside […]
How Can Natural Language Processing (NLP) Help My Business?
Research reveals that the global natural language processing (NLP) market size is projected to grow by $33 billion within the next five years, an annual growth rate of 25%. The use of natural language processing for search capability is ubiquitous – from the Google-type “ask a question and get an answer” environment consumers love to the augmented […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]
A Powerful Pair: Modern Data Warehouses and Machine Learning
Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]