We're living in exciting times, my friends. Remember the iconic novels from decades past about robots taking over the world? Well, perhaps we aren’t there yet, but we are the first to experience the power of intelligent machines on Oracle software. If you attended Oracle OpenWorld 2017 or read the November/December 2017 edition of Oracle Magazine, the message was clear: the world of emerging technologies is already here, and it impacts every major Oracle Corporation technology.

At ODTUG, we're keeping an eye on emerging tech. You may remember sessions at previous ODTUG Kscope conferences paying homage to the Internet of Things (IoT) and hinting at the arrival of Machine Learning. We're expanding that technical topic list for next year’s conference. At ODTUG Kscope18 we’re going to have a special set of additional sessions focused on IoT, Machine Learning, and/or Chatbots that are directly intertwined with our very own ODTUG communities. 

Are you knowledgeable about the impact of emerging tech or the usage of emerging tech within your ODTUG community? If so, please submit an abstractwe’re looking for you! Remember that the ODTUG Kscope18 abstract deadline is Friday, January 5, 2018, at 11:59 p.m. PST. Submit an abstract today!

New to all of this? Read on to gain insights by the ODTUG Kscope18 conference committee (with a few ideas for abstracts)! 

The Impact of Emerging Tech on the APEX Community by Jorge Rimblas

If you work within the APEX community, you may think you’re unaffected by emerging tech. But think again. The APEX applications we build may look the same when you’re using Machine Learning, but the impact is on the work you do inside the Oracle database. Take Chatbots, for example. Our APEX applications may start incorporating Chatbots, but this won't look that much different from implementing a Help Desk chat feature. All the complexity is still on the database side.

For these reasons, the APEX community will want to be on top of what emerging tech does and how we can better use these technologies.

The Impact of Emerging Tech on the BI Community by Kevin McGinley

During the past few ODTUG Kscopes, various tracks under the BI/Analytics umbrella have been laying the groundwork for what organizations can expect to see and embrace in the future. More and more data required for BI/Analytics will come from sources other than traditional, relational database-driven transactional systems. Those traditional sources are still important, but many organizations will encounter business requirements that force them to deal with data coming from APIs in formats, ingestion rates, and volumes that traditional ETL just can't handle. In addition, what we do with the data once we've captured it requires rethinking as well. Organizations can't rely on having people with the proper skills and time necessary to do more sophisticated analysis against a growing variety of data. 

ODTUG laid the groundwork for this by introducing more Advanced Analytics topics into Kscope. Those same Advanced Analytics topics—decision trees, clustering, Bayesian networks, regressions, forecasts and more—move to the front of the line as Oracle introduces capabilities to have their software do this work for you and refine the assumptions that go into those algorithms over time as it learns more about your data. While this may sound very futuristic, we're already seeing a world where computers and robots do more and more human work, and sifting through data with more adaptable algorithms is a ripe application for this.

The Impact of Emerging Tech on the Database Community by Danny Bryant

At Oracle OpenWorld 2017, Larry Ellison announced the autonomous database—18c—the so-called "self-driving database.” What does this mean to today's DBA?

The intent of the autonomous database is to handle some of the more mundane tasks associated with infrastructure, upgrading, patching, etc. This means that the DBA has more opportunity to develop optimal database design and policies, and engage in more advanced tuning activities. At the moment, the autonomous database is available as a Cloud service or with the Oracle Cloud at premises and will most assuredly tackle some initial workload performance issues. With the inclusion of Machine Learning, the more workloads seen by the service, the more efficient the database becomes.

All this means is that the role of the DBA is continuously evolving. We see this with the push to Cloud and we will continue to see it with the automation of the database. As the Cloud becomes more pervasive, DBAs will be expected to take on an expanded role in development as a means to connect to and interact with the database. While some may continue to argue this is the end of the DBA, I believe this is just the beginning of next evolution of the DBA.

The Impact of Emerging Tech on the EPM Community by Tim German

We are already seeing features like natural language narrative generation built into Oracle products (for the explanation of variances, for example). There is scope for Machine Learning to assist both with our roles as technologists—such as tuning, or detecting unauthorized access—and with the jobs of our users, who will move from having systems that present data to systems that recommend actions. 

In Planning, Machine Learning promises to do the modeling and identification of relationships across more dimensions (and with less bias) than human analysts could possibly manage. Imagine a Planning system that identifies its own drivers and refines its own model with each cycle.

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