We discuss how companies often forget to focus on the basics and jump right into the latest industry trend. It’s not enough to know 90% of your network inventory when that could leave 200 servers vulnerable. Organizations must remember that it’s typically the details that cause you problems in the long run.
We also dive into the fundamental security components and use cases of blockchain, IoT and their potential risks within the enterprise. We’ve all heard the use case of bitcoin with blockchain, but how can blockchain reduce the time we spend car shopping while surpassing the pushy cars salesmen?
Finally, Rich shares his best practices for increasing your network and launching a thought leadership brand at the same time. As you attend more conferences you start to learn what peers in the industry are doing and what technology you should invest your time learning. A larger network will also bring more public-facing potential, including public speaking and writing opportunities.
We discuss data analytics in the financial services industry and why the difference between perceived risk and actual risk is causing a lack of understanding about where data security is most appropriate.
We also look at the ETL (Extract, Transform, Load) process that exists in traditional data warehouse today and argue why instead the ELT (Extract, Land, Transform) process cuts costs, enriches the data and adds more value to the business. When you find yourself refactoring a data pipeline over and over again, you must ask yourself how much time do you spend maintaining legacy systems when you could be adding additional value to the business?
Finally, we consider what the data analytics space will look like for the financial services industry in the next 3-5 years. While cloud, machine learning, blockchain and other disruptive technologies are emerging, the industry wants to make sure they stay at the cutting edge, not the bleeding.
We discuss the increased adoption of DevOps and containers across the enterprise. Many large organizations, especially those in the Financial Services industry, have already surpassed the experimentation and POC development phase and are now moving towards production environments with the technology.
We look at how companies are helping their employees cross the learning chasm with the surplus of new technology. Many service integrators are developing tracks to help develop their staff’s skills. Technology is continuously changing and if you don’t engage in a continuous learning culture, you’re going to get left behind, both from a career, and business perspective.
Finally, we look at how the adoption of DevOps and container technology is changing the traditional data center technology stack. The need for speed is greater than ever and the latest technology supports this demand. But, it’s also integral that companies continuously update and streamline their business processes to accompany this new world.