Interactive Business Intelligence for Big Data in Life Sciences

Why is it that 80% of enterprises fail to scale AI? Data scientists face operational, collaborative and infrastructure complexities at each step of the ML lifecycle. MLOps practices have the ability to solve many ML operational concerns such as project deployment, testing, serving and monitoring. In this webinar, Yochay Ettun, CEO and Co-founder of cnvrg.io will discuss the ways that MLOps solutions empower data scientists to successfully operationalize ML by applying DevOps principles to the ML lifecycle.

Still feeling a bit in the dark about Big Data or terrified by the term Artificial Intelligence? Many organizations have been embracing both of these concepts and capitalizing on their insights for years. Now it’s your turn to truly get on board with how you can use Big Data and Artificial Intelligence to shape your Talent Acquisition strategy. And when better to learn more about these than at the beginning of a new year? Hear from a panel of visionaries and learn the ins and outs of Big Data and Artificial Intelligence, from providing in-depth explanations to leadership, to identifying their pitfalls and opportunities, who should be spear-heading these initiatives within your organization and how to implement.

Join us for a focused discussion on Data Analytics with health system data analytics leaders. We discuss the decisions, benefits and challenges organizations face when determining how to structure and manage data assets, tools and teams. We’re excited to share diverse perspectives and answer audience questions.

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.