GoodData Executives Share Their 2019 Predictions

January 03, 2019
Amy Duryea's picture
Director of Corporate Communications & Customer Marketing
Amy Duryea Director of Corporate Communications & Customer Marketing Amy Duryea is the Director of Corporate Communications & Customer Marketing at GoodData, where she focuses on creating a unified corporate communication strategy and evangelizing GoodData's strategic vision. She is responsible for managing public and analyst relations, as well as building GoodData's customer advocacy program. Prior to GoodData, Amy built successful advocacy programs with a variety of companies for more than fifteen years. Originally a native of Silicon Valley, Amy has lived in Portland, OR for the past 20 years.

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For the past several years, I’ve gathered several of our executives to talk about what they expect to see in the coming year in technology or the world at large. It’s always a lively discussion, with lots of opinions flying back and forth. By the end of it, we’ve come up with our top predictions for the following year, which I then pitch to various publications.

This year, I’m thrilled to share that all of our 2019 predictions—covering AI, cybersecurity, and industry trends—have been picked up and published in Forbes (twice), Datanami, KDnuggets, insideBIGDATA and more! Not only is it exciting to be featured in such prominent publications, but it’s tremendously rewarding to see our executives’ expertise and knowledge recognized. Let’s see what they had to say.

AI predictions for 2019

This year, we’ve talked a lot about AI. We’ve talked about how AI is in the current hype cycle, and how companies can successfully introduce AI into their business processes. Our founder and CEO Roman Stanek doesn’t foresee this interest in artificial intelligence waning anytime soon.

In Forbes’ AI predictions for 2019, Roman shared his thoughts about AI and the modern enterprise, which he expects to see edging out technologies like Hadoop. The merger of Hortonworks and Cloudera was a first look into the projected value for Hadoop in 2019. Technology that was designed 20 years ago in an era of “small” data will not be able to support modern, global, and dynamic enterprises. While data will still require management tools, the complexity will be eliminated thanks to the rise of artificial intelligence and machine learning. Roman predicts AI to be in its current hype cycle and how before reaching its peak, AI can be used to automate and solve “small” data problems.

Cybersecurity predictions for 2019

This past year saw some enormous changes to the cybersecurity landscape. In particular, the introduction of GDPR had a ripple effect for companies operating in the EU and elsewhere. Our Chief Information Security Officer Tomas Honzak anticipates that GDPR will continue to play a pivotal role in 2019. It may even eventually serve as a standard by which a country or company’s security protocols are judged.

As he explained in Forbes cybersecurity predictions, Tomas expects that countries where privacy is prioritized and seamlessly integrated will see the most optimal growth. A big part of that prediction has to do with the effects of GDPR. The EU is introducing privacy-minded policies, and other regions and companies are taking notice—with a notable exception. The United States’s federal compliance efforts simply aren’t moving fast enough to meet worldwide requirements with GDPR.  Already far behind the EU, the United States will continue to fall further and further behind in competency and international relations. This will undoubtedly have repercussions when it comes to growth.

Industry trend predictions for 2019

Vice President of Product Kevin Smith always has his finger on the pulse when it comes to industry trends, including the evolution of data products and the people who support them. His top prediction for 2019, which was featured in insideBIGDATA, has to do with data scientists. Specifically, Kevin expects that the role of a data scientist will take a sharp turn.

Once the hottest job of the 21st century, data scientists will soon become very different from what we know today. Analytics are becoming more pervasive and being pushed to the end user. As that happens, self-service will become more routine, and data prep tools will become more powerful. As a result, the data scientist will transform into more of a consultant than a data sourcing and preparation expert. They will be charged with helping the business make sense of data, understanding how to interpret results, and what courses of action might be warranted. It’s a higher value role for the data scientist that ultimately makes better use of their skills.

I really enjoy being part of these discussions, and I always love to see the hard work that our team does recognized in the press. I look forward to seeing how these predictions play out over the coming year(s), and  I’m sure our team will have a lot to say about their predictions as well. Stay tuned in 2019!

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