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3 key digital transformation priorities for 2024

CIO Business Intelligence

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Generative AI can help mitigate these often serious risks. Artificial Intelligence

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Generative AI’s potential as a force multiplier in defense

CIO Business Intelligence

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI.

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Top 10 Elements for Developing a Strong Information Security Program

CDW Research Hub

It encompasses other components, including data security that focuses primarily on protecting unstructured data in storage from unauthorized access, use, loss or modification. Develop a security risk management program. Apply defense-in-depth measures and assess the security controls to identify and manage risk.

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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Process optimisation: processes are examined, re-engineered, standardised and carefully tested prior to being automated processes.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

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