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How AI Can Help Marketers Harness Big Data Opportunities in 2019

In this special guest feature, Solomon Thimothy, CEO of DMA | Digital Marketing Agency, believes that digital marketing advancements in 2018 have set a high bar for customer expectations. Customers now expect, deserve and demand that personalized, seamless transactions will only increase in 2019. By focusing on data-based AI solutions, organizations can ensure the customer journey will be more personalized and more profitable in the year to come.

Before We Argue About Ethics, Models Need Transparency

In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an absolute requirement for a proper AI implementation within an organization, as well as the key to ensuring a more meaningful ethical perspective as AI is woven into our everyday lives.

The Future of AI in Retail: Fueling Change for the Industry

In this special guest feature, Matt Field, President and Co-Founder of MakerSights, says there’s no denying that AI and ML are starting to change the nature of the retail industry. One of its greatest benefits will be in how intelligent automation can be used by humans to augment their jobs. Embracing AI and ML and incorporating this with human intuition to predict, create and manage consumer preferences can help retailers increase their bottom line while meeting modern consumer expectations for personalized, on-trend and convenient products.

Machine Learning as a Service (MLaaS) and its business implications in 2019

In this special guest feature, Rob Light, Research Principal at G2 Crowd, believes that the technology behind MLaaS will become prominent in 2019 with the help of the cloud giants, media and consulting partnership opportunities. Businesses will become more aware of the abundant opportunities these solutions present and implementations will expand, so much so that they may become the reason businesses choose specific cloud computing providers. While that may seem optimistic, it is also a very rational next step in achieving true digital transformation.

Human Guided Machine Learning is the Golden Path to Golden Records

In this special guest feature, Matt Holzapfel, Solutions Lead at Tamr, addresses how a bottom-up approach recognizes connections in the vast pools of data to identify not only the most reliable data for each entity in the ecosystem, but the means by which that data can reliably be updated — a far faster path to data mastering, and a better way to make sure that data stays golden.

Addressing Demographic Pay Gaps with Data-driven Solutions

In this special guest feature, Dr. Margrét Vilborg Bjarnadóttir, Assistant Professor of Management Science and Statistics at the University of Maryland Robert H. Smith School of Business, suggests that despite massive cultural and societal pushes for gender equality, the gender pay gap in the workplace remains as strong as ever. Data analysis and visualization could play a vital role in helping to resolve this important issue.

A Deeper Look: How the 281 Data Breaches in Q1 2019 Will Impact Companies

In this special guest feature, Kevin Gosschalk, CEO, Arkose Labs, believes that machine learning will allow organizations to better monitor authentic and inauthentic traffic, identify what the incoming traffic looks like and act against the traffic if labeled as inauthentic to stop automated fraud before it happens.

The Key to Future-Proofing any Enterprise Data Architecture: Create Optionality

In this special guest feature, Justin Borgman, Co-founder and CEO at Starburst Data, outlines how can IT future-proof the enterprise for the next big trend – by creating optionality. Specifically, he offers three strategic steps toward future-proofing the cloud data lake.

Why Natural Language Processing is the Next Big Thing for Insurers

In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.

DeepOps: The Lessons Deep Learning Can Learn From DevOps

In this special guest feature, Yuval Greenfield from MissingLink.ai, discusses the rise of “DeepOps” aka AIOps and how it is where DevOps was in the 1990s—a nascent field that is becoming increasingly necessary. It starts with simple, but key facets like addressing some of the biggest pain points in the deep learning development lifecycle, such as automating version control.