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How to Adapt to New Technology and Gain a Holistic View of Your Customer

In this special guest feature, Daniel Herdean, CEO of Cognetik, provides four key tips that can help your organization adapt to the new influx of data and ensure you’re providing the best customer experience possible.

Democratizing AI

In this special guest feature, Saranyan Vigraham, Vice President of Engineering at Petuum, believes that as technology creators, we have an inherent bias in solving challenging technical problems. For democratizing AI, it is also important to solve problems around adoption and the last-mile problem of AI delivery. In a manner similar to e-commerce, an entire ecosystem of players will emerge to tackle this challenge down the road.

Data Lakes: The Future of Data Warehousing?

In this special guest feature, Adwait Joshi, CEO of DataSeers, sees data lakes as a modern take on big data. When you think of a lake, you cannot define its shape and size, nor can you define what lives in it and how. Lakes just form—even if they are man-made, there is still an element of randomness to them and it’s this randomness that helps us in situations where the future is, well, sort of unpredictable.

AI’s Increasing Role in Data Backups

In this special guest feature, Steve Blow, Technology Evangelist at Zerto, takes a look at four ways in which the combination of machine learning and IT resilience can have a profound impact on the way the technology and IT industry operates.

Could Rogue AI Services Become the New Tool for Harvesting Data and Distributing Malware?

In this special guest feature, Ramesh Mahalingam, CEO of Vizru Inc., discusses how organizations need to adopt a cohesive framework for embedding AI within the enterprise. The resulting guardrail simultaneously prioritizes regulatory compliance, data privacy, and security to mitigate these risks while maximizing revenues. More importantly, it helps companies to avoid two detrimental outcomes.

Taking a Shot at AI: What Companies Can Learn From Jack Daniel’s and Data

In this special guest feature, Martin Kurpiel, Vice President at Valid, discusses how the maker of Jack Daniels recently launched a new brand of rye by leveraging its data analytics team. The company discovered there was room in the market for another product after taking a deep-dive into its consumer, production and sales data across its global operations.

3 Considerations for Working with Data Gravity

In this special guest feature, Matthew Wallace, Faction Chief Technology Officer, addresses three questions enterprise companies should consider in order to understand data gravity so that they may access and use data—efficiently and effectively.

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.