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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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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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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.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Infrastructure as a Service (IaaS). IaaS is delivered by all the major players including AWS, Azure, Cisco, IBM, Oracle and Google. Fact: AWS started the first IaaS service with S3 back in 2006, which is still one of the most popular cloud platforms to date. Platform as a Service (PaaS). Software as a Service (SaaS).

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Leveraging AI and Workflow Automation in Manufacturing

Argon Digital

Business Processes Improved by AI The implementation of AI can transform various business processes in manufacturing, including: Production Planning : AI algorithms can optimize production schedules, taking into account factors such as machine availability, workforce capacity, and material availability.

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International Women’s Day Mega Event 2024

GAVS Technology

Growing up amidst humble beginnings in Northeastern China, she moved to New York for her graduate studies, where she worked three part-time jobs to support herself. Usha Srikanth VP, Sectors - CIC, IBM India Usha runs the Global Delivery for Application Services Business of IBM in India.