Systems | Development | Analytics | API | Testing

snowflake

From Creativity to Analytics: Gen AI's Future in Adtech and Martech

Oct 24, 2024 By David Wells In Snowflake
Adtech and martech companies are engaged in a fierce battle for audience attention. Customers are bombarded with thousands of ads and marketing messages every day, and the average attention span is plummeting, so it’s no wonder they tune out — or turn on ad blockers. But it’s not all doom and gloom. The global adtech market is expected to grow at a rate of 22.4% through 2030, and martech’s projected growth rate is 18.5% through 2032.
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antino

Feature-rich Pharmacy App Development: A Brief Overview

Oct 24, 2024 By Peeyush Shrivastava In Antino
Need groceries? Just order online. Want printouts on priority? Upload it online and get it delivered to your doorstep in no time. Looking for a cook? Well, there’s an app for that too! So, why should the pharmacy industry be left behind? That’s why the demand for pharmacy app development came into the picture. Reason?
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Windowing with Table-Valued Functions | Apache Flink SQL

Oct 24, 2024 By Confluent In Confluent
Apache Flink SQL makes it easy to implement analytics that summarize important attributes of real-time data streams. There are four different types of time-based windows in Flink SQL: tumbling, hopping, cumulating, and session. Learn how these various window types behave, and how to work with the table-valued functions that are at the heart of Flink SQL’s support for windowing.
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astera

Breaking Down Myths About AI Document Processing

Oct 24, 2024 By Ammar Ali In Astera
Let’s be honest – AI can seem like a bit of a mystery, and with this mystery comes myths and misconceptions. Is it actually that good? Can it handle varying document structures? Can it integrate with my existing systems? Because of this mystery, many companies have yet to take the leap and incorporate AI into their data processes. Today, we’re going to play MythBusters, separate fact from fiction, and show how you can use AI document processing to maximize efficiency and save costs.
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appian

An Introduction to Responsible AI for the Enterprise

Oct 24, 2024 By Dan O'Keefe In Appian
When AI first started to gain widespread adoption, it sparked a wave of fear. While much of that fear was overblown, we still need to remain cautious about any new technological innovation. Given AI’s potential to drive change on a massive scale, applying ethical principles to AI is not just important, but urgent. Every company must prioritize responsible AI—not only as an ethical responsibility but as a practical, strategic choice.
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bugfender

SwiftUI Image Explained: Quick Tips for iOS Image Handling

Oct 24, 2024 By Flávio Silvério In Bugfender
From regular buttons, to tab bar elements, even to our SwiftUI app’s icon, Images are a very important aspect of every mobile device application. In this article we’ll look at how to show images in SwiftUI, and give you several tips, with examples, on how to use those Images in your own apps. In this article any image used was sourced from Pexels, a website that hosts a database of free-to-use and royalty-free images.
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cloudera

The Evolution of LLMOps: Adapting MLOps for GenAI

Oct 22, 2024 By Meeta Dash In Cloudera
In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.
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bitrise

How AI will change software engineering: Insights from Bitrise's VP Engineering

Oct 22, 2024 By Arpad Kun In Bitrise
Whether you agree with Elon's prediction or not, it's hard to ignore AI's far-ranging impact, especially on how we approach work. Over the last two years, we have seen AI progress rapidly, leaving many of us wondering, "Will AI replace my job?" It's a question that software engineers have also been grappling with. As ironic as it may seem, the people writing the code driving the technology revolution face the same uncertainty about whether AI might replace them in the future.
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How Thrivent Uses Real-Time Data for AI-Driven Fraud Detection

Oct 21, 2024 By Confluent In Confluent
In today’s fast-paced financial services landscape, customers have a shorter attention span than ever. To meet clients’ growing demands for real-time access to information and keep innovating in areas like fraud detection and personalized financial advice, Thrivent needed to overhaul its data infrastructure. With data scattered across siloed legacy systems, diverse tech stacks, and multiple cloud environments, the challenge was a bit daunting. But by adopting Confluent Cloud, Thrivent was able to unify its disparate data systems into a single source of truth.
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iguazio

Gen AI for Marketing - From Hype to Implementation

Oct 20, 2024 By Sahar Dolev-Blitental In Iguazio
Gen AI has the potential to bring immense value for marketing use cases, from content creation to hyper-personalization to product insights, and many more. But if you’re struggling to scale and operationalize gen AI, you’re not alone. That’s where most enterprises struggle. To date, many companies are still in the excitement and exploitation phase of gen AI. Few have a number of initial pilots deployed and even fewer have simultaneous pilots and are building differentiating use cases.
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