A considerable amount of current conversation in the area of data science and analytics focuses on the virtues of solving all the challenges that organizations face when using this new paradigm in the business world. There is also a lot of discussion around the technology-related issues that impact achieving data science and analytics goals.
For more than a decade, Silicon Valley’s technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie.
Data’s impact on enterprise is gathering intense momentum. Key trends in enterprise data science for this year include a focus on the Internet-of-Things (IoT), highly improved cognitive solutions and the rise of insight-driven organizations. With such growth in potential uses, sources and types of data, enterprises of all sizes are now facing increasing complexity when it comes to collection, management and insight-analysis. Increased complexity, in turn, makes for new challenges for decision-makers and data scientists.
In the healthcare industry, what could be more important than having better healthcare outcomes? Each and every day healthcare workers around the globe are striving hard to find more ways of improving our lives. However, the world is changing, and frankly, at a faster rate than most of us can keep up. Intuition alone will no longer be enough for quality patient outcomes. The amount of healthcare data continues to mound every second, making it harder and harder to find any form of helpful information. Big Data is not to be romanticized; it can be a blessing and a curse. It can contribute to both the insight and the fog of visibility.