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Four challenges with ERP vendor-led AI roadmaps and how to solve them

CIO

Challenge 2: Leaving on-premises data behind For AI algorithms to be successful, they need a massive amount of historical data to draw from. Remember the garbage in, garbage out adage: The more clean data available to an AI algorithm, the more predictive and fine-tuned the results will be.

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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

Creating a new software application with complex AI algorithms is a very time and resource-intensive process. You are going to need to do your due diligence and make sure that you get it right. However, bringing a software application with malfunctioning AI algorithms to market would be a much more serious and costlier problem.

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DTN’s CTO on combining IT systems after a merger

CIO

That’s a tricky question, but easy to answer with the right data, he says: “You often can simulate it: If I were off by a half a degree, what impact would that even have on the ship routing algorithm?”. At DTN, says Ewe, “We have a sophisticated due-diligence checklist for technology. Forecasting merger success.

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4 perils of being an IT pioneer

CIO

Here are four major setbacks that business and IT leaders could encounter if they rush to adopt a new technology without due diligence. Lack of support Finding resources who are skilled with a new technology can be a challenge. For instance, there is still a significant skill shortage in relatively new technologies such as AI.

IT 393
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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

The head of the Department of Energy announced that they will be investing $30 million in artificial intelligence and machine learning algorithms. “This speeds up M&A transactions worldwide by optimizing the technical due diligence process of wind farms and machines in operation.

Learning 351
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How Do Banks and Other Financial Institutions Benefit from AI

Smart Data Collective

Before opening an account for a new client, a bank needs to conduct due diligence. AI minimizes these risks thanks to correctly inputting all the information and accurately distributing it across all channels. Credit Valuation and Know Your Customer (KYC). Credit valuation takes a lot of time and effort.

Banking 321
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Venture Capital in the Age of AI: Transforming Due Diligence

Alpha Sense BI

On the AlphaSense platform, this reality rings true as we noticed an over 50% increase in documents mentioning “due diligence” over the past year. Once an arduous and time-consuming task, the dawn of artificial intelligence (AI) and generative AI (genAI) has transformed the way venture capital investors conduct due diligence.