摘要： While big data has long been harnessed by leaders across virtually every industry to make key business decisions, today, the field is a proven and established subset of tech. With an ever-growing list of professions and use-cases surrounding big data, trends have emerged in how that data is collected, organized and used.
While big data has long been harnessed by leaders across virtually every industry to make key business decisions, today, the field is a proven and established subset of tech. With an ever-growing list of professions and use-cases surrounding big data, trends have emerged in how that data is collected, organized and used.
Obviously, developments in big data mean different things to different companies. We spoke to data pros at eight tech companies to learn more about the big data trends they’re keeping up with and how they’re impacting business operations.
SOCIAL DETERMINANTS & INTUITION
Trusting one’s gut is a practice that can lead to success in many professions. But data science is not typically seen as one of them, since trusting numbers is generally considered safer than trusting instincts. However, Data Science Manager David Thompson at Pareto Intelligence said that sentiment is changing. The leader at the healthtech company said intuition plays an increasingly large role in how industry pros work with big data.
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KUBERNETES & SIMPLIFYING WORKFLOWS
When you’re working with datasets so complex they can predict and analyze consumer behaviors and even emotions while they’re online, simplifying workflows can go a long way for increasing productivity. Machine Learning Engineer Drew Boshardy told us about some tech tools that were put in place at marketing tech company Networked Insights to do just that.
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DIGITAL ASSISTANTS
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DIGITAL ASSISTANTS
With the ability to analyze diverse sets of data, financial companies can make informed decisions on uses like improved customer service, fraud prevention, better customer targeting, top channel performance, and risk exposure assessment.
SCALEABLE OPEN SOURCE DATA WAREHOUSE MODELING
As big data tools like AI and machine learning grow more complex, Chewy’s VP of Software Engineering Karthikeyan Janakiraman wants processes to stay simple for his team. The leader at the pet supply e-commerce company said he hopes evolutions in big data tech will allow his engineers to work more efficiently with fewer hassles.
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REINFORCEMENT LEARNING
Good decisions are at the heart of any business' success. And SessionM’s Head of Data Science and Engineering Amelio Vázquez-Reina said companies can make even better decisions in the future with techniques like reinforced learning. As the next wave of big data trends continues to unfold, the company plans to take advantage of evolving practices by applying them to their marketing services.
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DATA PRIVACY & NEED FOR NEW SKILLSETS
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HYBRID CLOUD SYSTEMS
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CHANGING ACCESS TO USER DATA
Adswerve's Director of Technical Services Jacob Shafer said there’s a shift happening in the way companies access and utilize user data. He explains how privacy-based regulations and the evolving nature of tech are limiting the breadth of user information companies have access to, making it more challenging for companies to get their brands in front of users. Shafer said Adswerve is tapping into its own data to help agencies, marketers and analysts navigate the changing landscape.
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