In this contributed article, Frank Laura, Chief Technology Officer at EngageSmart (NYSE: ESMT), discusses why CIOs and CTOs need to bring AI into businesses safely, securely, and legally. AI will enable CIOs and their teams to shift focus away from tactical and/or repetitive work towards creating innovative solutions for their teams and customers.
Seven Reasons why Data Security Needs AI
October 3, 2023 by 1 Comment
Today data holds the key to business success. Enterprises are embracing the power of data to improve marketing effectiveness, identify new revenue opportunities, personalize customer experiences, and improve operational efficiency. However, the increasing complexity of the data landscape is making it a huge challenge to provide users and applications with fast access required, while ensuring regulatory compliance. In this contributed article, Noam Biran, Velotix VP Product, offers seven trends that suggest why more intelligent and automated solutions are needed to enable data governance.
Unleashing the Power of AI in Paid Search Marketing: Insights from Industry Expert
September 28, 2023 by Leave a Comment
In this contributed article, Amy McClain, Group Director, Performance Media at BCM, delves into the ways AI is transforming paid search marketing, from automating manual tasks and improving targeting capabilities to optimizing bidding strategies for better performance. She also highlights the benefits of AI-powered paid search marketing, including increased cost savings, enhanced conversion rates, and more efficient campaign management.
The Three Greatest Areas of Impact for AI in Automation
September 22, 2023 by Leave a Comment
In this contributed article, Jakob Freund, Co-Founder and CEO at Camunda, explores three different types of AI that he predicts will dominate industries as organizations work to ensure business processes are streamlined and working as intended. These three AI buckets include predictive decision-making, generative processes, and assistive tools.
How Enterprises Can Rise Above Data Gravity for a Better Life in the Cloud
September 19, 2023 by Leave a Comment
In this contributed article, Jim Liddle, Chief Innovation Officer at Nasuni, describes how having file data stored in the cloud and workloads on-premises can result in serious performance issues because remote access and data consolidation don’t play well together. In fact, the combination can create “data gravity” that complicates and slows the movement of data, worsened by the latency that often accompanies remote access. The resulting lack of speed and flexibility presents significant issues when decisions must be made in seconds in order to prevent potential loss or generate revenue to the tune of millions of dollars.
Regulate the Use Cases—Not AI Itself
September 12, 2023 by Leave a Comment
In this contributed article, CF Su, VP of ML, Hyperscience, agrees that regulation is needed, but as opposed to sweeping oversight, he supports regulating specific uses of AI, such as licensing the business applications of AI models rather than requiring licenses for creating them. This targeted, tactical government oversight will close the trust gap between the public and AI, which is his #1 concern currently facing the technology’s adoption.
Who’s to Blame for the Data Capability Wall?
September 6, 2023 by Leave a Comment
In this contributed article, Cameron Benoit, Director of Solution Consulting, Adverity, explores why data technology solutions keep stalling before takeoff. With cloud innovation making it easier
than ever to amass vast collections of specialist tools, businesses theoretically shouldn’t be
short on any capabilities. The problem is, prioritizing enticing features over functionality is
creating data infrastructure that’s flawed at best or unfit for purpose at worst. To avoid
running into capability walls, careful tech selection and stack building is key.
The Do’s and Don’ts of Data Monetization
September 1, 2023 by Leave a Comment
In this contributed article, Dan Lynn, Senior Vice President of Product at Crux, believes as others have pointed out, data may be the new oil in the sense that it’s a valuable commodity that has fueled economic growth in the 21st century. But unlike dwindling oil stocks, the amount of data is only growing, and it’s reusable. So if you’re considering a data monetization program, keep these do’s and don’ts in mind and reuse your organization’s valuable data to generate even more value.
How ML is Used to Reveal Hidden Savings in Your Cloud Infra
August 29, 2023 by 1 Comment
In this contributed article, Maxim Melamedov, CEO and co-founder of Zesty, explores the cost-savings potential behind leveraging AI/ML in the cloud. By implementing tools capable of real-time decision making and analysis, companies can truly unlock the promise of the cloud.
What Does Real-time Really Mean In Data Analytics?
August 25, 2023 by 1 Comment
In this contributed article, Paige Roberts, Open Source Relations Manager for Vertica by OpenText, works to demystify real-time data analytics: understanding definitions, categories, and strategies for unlocking value in the data-driven era.
