Industrial Cybersecurity 101 Everything Your Were Afraid to Ask

Understanding buzzwords, avoiding the hype, and capitalizing on AI, In this 60 minute webinar, you will learn about the executive's role in data science, including: How this emerging technology can transform business decision making, How to accelerate data science throughout your organization to improve outcomes, How to avoid common pitfalls in data science implementation, How to turn every manager in your organization into a source of operational improvements through data science

Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics. Where are organizations heading in 2019? How are analytic and data warehouse architectures evolving to enable faster and deeper self-service analytics and BI for organizations looking to create a competitive edge? How is public, private and hybrid clouds factoring into deployment decisions? What are the hottest open source projects from Apache Spark to Kudu, Kafka, Hadoop, and beyond? Join industry leaders from Dresner Advisory Services, Arcadia Data, and Cloudera as they preview findings from the upcoming 2018 Big Data Analytics research report of over 750 survey respondents in the data and analytics industry.

So many questions still surround artificial intelligence (AI), data science and machine learning. Yet, the questions are getting far less theoretical as more organizations look to take advantage of these technologies now. Organizations are asking more about how they can apply these technologies, how long it will take to gain the benefits, and how to train staff -- or if they need to hire new staff.

Creating an API strategy and a DevOps practice have become critical competencies for modern IT teams. When successfully implemented, 94% of IT leaders confirm they can deliver products and services to market faster. In this demo-driven webinar, we'll show where these competencies intersect and how leading organizations are using them to move from concept to production code in weeks instead of months or years.