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Generative AI’s change management challenge

CIO Business Intelligence

BCG asked 12,898 frontline employees, managers, and leaders in large organizations around the world how they felt about AI: 61% listed curiosity as one of their two strongest feelings, 52% listed optimism, 30% concern, and 26% confidence. A lot has happened since that last survey on attitudes to AI in 2018.

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IT to thank for most of Radisson Hotel Group’s business initiatives

CIO Business Intelligence

Then in March, the pandemic hit and hotel activity stopped, but it gave us the chance to accelerate the company’s transformation and digitalization process that started in 2018 with a five-year plan. But it’s comprised not only of IT professionals but people in purchasing, HR, finance, architecture, and revenue management, for example.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts. While it’s not possible to programmatically interact with the dashboards or charts directly, we knew that all queries that are used as part of charts are stored in Sisense’s version control,” BI Developer Ivan Yeromenko explains.

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Industry clouds give CIOs on-ramp to gen AI

CIO Business Intelligence

Greg Beltzer has been beta testing key generative AI technologies for the past six months and is eager to capitalize on them when released this spring. That’s when we were looking for a new CRM and Salesforce for us is much more than a CRM. It is an operational platform.”

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

Corinium

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

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Create Modern SQL Dashboards With Professional Tools & Software

datapine

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

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Decision-Making in a Time of Crisis

O'Reilly on Data

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. This may be true, but the downside risk in this case could be fatal.