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Software Bill of Materials is Crucial for AI-Driven Cybersecurity

Smart Data Collective

A recent study by IBM shows that AI has led to a number of huge benefits that can help stop data breaches. At its core, a Software Bill of Materials is a comprehensive inventory of all the components, dependencies, and third-party software used in building an application or system.

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Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

The state of the cloud services market The truth is businesses have started treating the cloud as a strategic tool capable of driving their competitive edge. It forecasts that more than 50% of enterprise IT spending will shift to cloud services by 2025. Whereas, the maintenance efforts are on the side of a space owner.

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Replacing Legacy. Part 5: Cloud, SaaS Legacy, and AI

Analysts Corner

Here, we reflect on the reasoning behind the past, current, and future trends: Cloud deployments, SaaS (Software-as-a-Service), and AI (Artificial Intelligence). For simplicity, let’s call them XaaS (X-as-a-Service). We focus on one thesis: Cloud infrastructure works better with services built around Microservice Architecture (MSA).

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The Role of Artificial Intelligence in Business Process Automation: A Comprehensive Analysis

CMW Lab Blog

Predictive Analytics Business Impact: Area Traditional Analysis AI Prediction Benefit Forecast Accuracy 70% 92% +22% Risk Assessment Days Minutes 99% faster Cost Prediction ±20% ±5% 75% more accurate Source: McKinsey Global Institute Implementation Strategies 1.

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Top Legacy Modernization Tools for 2024

Astera

Example: An online retailer moves its e-commerce application from an on-premises IBM WebSphere server using Java EE to AWS for better scalability and performance. The replatforming involves rehosting the application on AWS Elastic Beanstalk migrating the database from IBM DB2 to Amazon RDS for PostgreSQL.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It helps developers create and maintain highly effective machine learning applications that operate in the cloud. IBM Watson Studio. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks. might not have the same brand recognition as Amazon SageMaker or IBM Watson. Neptune.ai.

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Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

In fact, there is an entire field known as social media analytics, which is described in this post on IBM. According to IBM, here are some benefits of using the two together: Companies can use social media analytics to identify industry trends to update their own offerings and respond to customer expectations.