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AI for Decision-Makers: How to Win Trust from the Outset

CIO

This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation. Nevertheless, most organizations face growing problems around users’ trust in algorithms. In order to overcome this issue, the applications running AI algorithms must be designed to build confidence in the outcomes.

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Technical Analysis is Changing Quickly in the Era of Big Data

Smart Data Collective

When it comes to predicting future price movements in the market, technical analysis emerges as the most powerful weapon at our disposal. Technical analysis is a calculated science based on historical and real data, not some hocus-pocus or game of chance. Charts, indicators, and oscillators are just a few of the many tools available.

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Data Analysis Evolves At An Unprecedented Pace In 2020

Smart Data Collective

Would your business benefit from the use of data analysis? What is Data Analysis? The term data analysis refers to the recovery of useful information from data. How is Data Analysis Undertaken? Why Should You Use Data Analysis? All of these details and more can be determined through simple data analysis.

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5 ways to maximize your cloud investment

CIO

Understanding the price differentials between reserve and regular pricing is key to performing that analysis. McMasters takes full advantage of the analytical tools Microsoft provides with Azure Cloud Computing Services to assist with cost optimization analysis, but he doesn’t stop there. “We

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10 emerging innovations that could redefine IT

CIO

If there’s less of a need for absolute precision and more of a need to save electricity, the chips will be more likely to win. Main constituents: Companies that control access to large blocks of data that can be useful to automated analysis. Chance of succeeding: The basic algorithms work well; the challenge is social resistance.

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Bots and beyond: How the AI revolution is shifting the paradigm for customer experience in smart banking

CIO

One quick win, Nilendu says, is digitizing as many paper processes as possible. Delivering differentiated and customized services to customers is a key need for financial services institutions; AI enables this capability effectively with proactive analysis and feeds of behavioral trends monitored through machine learning algorithms.

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Belcorp reimagines R&D with AI

CIO

That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions.