2018 Executive Round Up: The Rise of AI and Machine Learning

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Welcome to our 2018 insideBIGDATA Executive Round Up, a quarterly feature showcasing the insights of thought leaders on the state of big data, data science, machine learning, AI and deep learning, and where these trending technologies are headed. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience.

All the indicators show that investment into the development and integration of AI and machine learning technology is continuing to increase at scale. Additionally, results are starting to appear beyond computers learning to beat humans at board games and TV game shows. We expect 2018 to provide a continuous stream of incremental steps forward, as machine learning and neural network technology takes on more routine tasks.

Here’s a look at our distinguished panel:

The conversation is moderated by Daniel D. Gutierrez, Managing Editor & Resident Data Scientist of insideBIGDATA. Each segment of this 4 part series will present a Q&A with these executives on one of our key topics. We provide a link to each segment below.

insideBIGDATA:  insideBIGDATA is a news outlet that distills news, strategies, products and services in the world of big data for data scientists as well as IT and business professionals. Our editorial focus is big data, data science, AI, machine learning, and deep learning.

2018 Executive Round Up – Part 1 – We take a look at how AI and machine learning will continue to make significant strides, and also turn the corner toward mainstream acceptance in the enterprise. Admittedly, with any breakthrough technology comes hype. As the arrival of functional and useful AI is something that has been predicted for a very long time, it’s hardly surprising people want to talk about it, now it’s here.

2018 Executive Round Up – Part 2 – We take a look at the industries taking the lead in 2018 for adopting AI, machine learning, and deep learning. AI is being deployed more and more frequently across a breadth of industries. Far from the typical futuristic depiction of robots with human-level intelligence, AI’s role in the enterprise today is frequently to automate tasks that humans have done in the past, such as picking products at a warehouse for order fulfillment, but also to find hidden patterns in large data sets that lead to actionable insights.

2018 Executive Round Up – Part 3 – We review the evolutionary process of digital transformation and how IDC is predicting that by 2020, 60% of all enterprises will have climbed aboard this bandwagon. The notion of digital transformation dominates many C-suite and boardroom agendas. At the same time, it remains unclear what “digital transformation” actually means. Many definitions are rather shallow, even while expectations for success are optimistic at least on the surface. CTOs, CDOs and CIOs struggle to define cohesive digital transformation strategies when faced with these disparate viewpoints and demands.

2018 Executive Round Up – Part 4 – We examine what increasing role AI will play in digital transformation initiatives in 2018. We’ll see that AI continues to get smarter and more practical. But in the end, competitive success is all about information, and we know machines can do a better, faster job of understanding information patterns than people. As a consequence, AI is front and center in 2018 and enterprises are going to be hyper focused on innovation that advances their digital transformation journey.


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