Technology Related Topics 
CIO
JUNE 13, 2025
Traditionally, enterprise architects have focused on enabling business growth by aligning business architecture, data, applications and technology. These technologies are not merely external accelerators or tools to be used when convenient; they are becoming essential elements of business operations.
CIO
JANUARY 13, 2025
To some consumers and businesses, alike it may appear companies are exaggerating the significance of this emerging technology. AI this, AI that The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way businesses operate.
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CIO
MARCH 14, 2025
Ive spent more than 25 years working with machine learning and automation technology, and agentic AI is clearly a difficult problem to solve. Agentic AI worries me on that front because fraudsters can use the technology to exploit weaknesses in security. Business verification might sound like an ideal use case for the technology.
CIO
JANUARY 14, 2025
This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. They require fundamentally reimagining how we approach enterprise architecture and technology delivery. The stakes have never been higher.
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Whether facing tight release cycles, fragile frameworks, or limited QA resources, this resource offers practical steps to improve test velocity and coverage without expanding your team or rebuilding your technology stack.
CIO
APRIL 21, 2025
The second-order impacts of this spending are being strategized, architected, and designed in real time, and were seeing the early signs of emerging technologies like agentic AI being used to reinvent core capabilities in businesses especially now, in light of new tariffs.
CIO
APRIL 22, 2025
However, in todays era of rapid technological advancement and societal shifts, especially over the past five years, relying solely on traditional approaches is no longer enough to stay competitive. Their strength lies in managing the known and responding to immediate organizational needs. IQ ensures preparedness; EQ enables agility.
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A key challenge for all technology leaders is building a strong relationship with internal stakeholders and customers. Often, senior stakeholders view technology delivery as a ‘black box’. It incurs a lot of costs and is strategically critical - but is very little understood.
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Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more. Discover a streamlined methodical approach to Apache Cassandra® data modeling.
Advertiser: ZoomInfo
In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them.
Speaker: Ryan Bryers, SVP of Global Engineering
With technology giants like Google, AWS, and Azure leading the charge, the true value of the cloud extends far beyond cost savings. In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.
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While not the easiest technology to optimize, Kafka rewards those willing to explore its depths. Without proper guidance, it’s easy to miss out on Kafka’s full capabilities. Under the hood, it is an elegant system for stream processing, event sourcing, and data integration.
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PostgreSQL is a highly versatile and robust technology, capable of addressing a wide range of challenges in diverse environments. Its expanding range of use cases is witnessing exponential growth, allowing PostgreSQL to effectively target an ever-increasing number of applications while minimizing limitations.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. Get the information you need to ensure your evaluation experience is efficient and yields the data you need to make your purchasing decision.
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