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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. CoE = Center of Excellence = Accelerator for Change. Making it happen: Driving faster adoption.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Big Data Hub

However, while spend-based commodity-class level data presents an opportunity to help address the difficulties associates with Scope 3 emissions accounting, manually mapping high volumes of financial ledger entries to commodity classes is an exceptionally time-consuming, error-prone process.

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Catches of the Month: Phishing Scams for September 2023

IT Governance

Malwarebytes reports that, once installed, DarkGate Loader can be used for many nefarious purposes, including “remote access, cryptocurrency mining, keylogging, clipboard stealing, and information stealing”. You can help educate your staff with IT Governance’s Phishing Staff Awareness Training Programme.

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What is a Cyberattack? Types and Defenses

eSecurity Planet

Cisco Umbrella , analyzing the threat environment for 2022, found that 86% of organizations experienced phishing, 69% experienced unsolicited crypto mining, 50% were affected by ransomware, and 48% experienced some form of information-stealing malware. This presents a unique opportunity for cyber criminals. Other methods.

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Is AIIM Membership Worth It? Pros and Cons

AIIM

Groups are created based on geography, professional interests, and even training and certification. I co-presented a session at AIIM 2003. Atle made my firm aware of the development of the AIIM Training program, and in 2006 we became AIIM’s first North American training partner.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.