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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. According to Mohammed, the results of this digital transformation journey are measurable and impressive. js and React.js.

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Machine Learning Helps Social Media Marketers Earn Higher ROIs

Smart Data Collective

We talked about some of the AI-driven content generation tools that were available in 2018. You get instant feedback from customers and potential customers and use AI to engage with them more easily Social media is an excellent way to interact with customers, especially if you’re a small business.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. Newer methods can work with large amounts of data and are able to unearth latent interactions. Fractal’s 2018 Net Promoter Score is greater than 70.

Insurance 250
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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

This step-by-step guide to designing a high-functioning organization helps you understand four team types and interaction patterns and helps you to type and build it. “It By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions.

IT 130
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Generative AI’s change management challenge

CIO Business Intelligence

A lot has happened since that last survey on attitudes to AI in 2018. And while 68% of leaders believe their companies have implemented adequate measures to ensure responsible use of AI, only 29% of their frontline employees feel that way. There are other ways in which employees’ concerns about AI is unevenly distributed, too.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

This means that anybody that is possible victim will need to leverage AI-driven cyber security measures to protect their digital assets. But can cybersecurity measures predicated on machine learning actually help stop cryptocurrency scams? In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

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Covid Data: An anomalous blip, or the new normal?

Cloudera

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018.