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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important.

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Strategize, modernize, and lead: Transform your business with application portfolio modernization

CIO

The imperative for APMR According to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 1 (January 2024), 23% of organizations are shifting budgets toward GenAI projects, potentially overlooking the crucial role of application portfolio modernization and rationalization (APMR). Employ AI and ML to assist in processes.

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SAP SE revamps application security scanning using simulation and automation

CIO

SAP’s award-winning FioriDAST project mimics user and attacker behavior to safeguard its web applications. While hackers target companies of all sizes, a tech giant like SAP may have a bigger bull’s eye on its back because of the sensitive data it manages and the critical role its ERP applications play in global businesses.

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CIO-Application security: the 3 pillars of securing your engineering ecosystem

CIO

This comes as organizations are racing to ship software as quickly as possible to deliver new features and cloud applications to remain competitive. This new reality and rising attacks requires us to think differently about application security – the overarching security umbrella over the engineering ecosystem.

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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8 Most in Demand Programming Languages of 2021

The Crazy Programmer

It is used in developing diverse applications across various domains like Telecom, Banking, Insurance and retail. It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. Python is often employed in developing machine language and deep learning applications.

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Best Practices for Deploying & Scaling Embedded Analytics

Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation. How to make the right architectural choices given particular application patterns and risks.

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!