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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

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Hate being more productive? Ignore AI agents

CIO Business Intelligence

After being “awed” by OpenAI’s GPT model acing the AP Bio exam, the model was asked a non-technical question: “What do you say to a father with a sick child?” Fine-tuning models that run “on top” of foundation models requires less data, costs less, and can be completed quickly. But it can do much more.

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The Art and Science of FP&A Storytelling

Timo Elliott

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. What typically goes wrong?

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

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6 ecommerce trends to watch

IBM Big Data Hub

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In recent years, for instance, ecommerce companies based on a subscription model—like Blue Apron and BarkBox— have grown over 1,000%. The ecommerce market has grown exponentially over the last decade.

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

awsAccessKey=s3-spark-user/HOST@REALM.COM. Data processing and visualization. label="uncertainty"). model = fbprophet.Prophet(). models, forecasts = plot_vaccination_forecast(forecast, country, "Vaccinated per 100"). root@ ~]# ozone s3 getsecret --om-service-id=ozone1. awsSecret=08b6328818129677247d51. s3 = boto3.resource('s3',

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Quantitative and Qualitative Data: A Vital Combination

Sisense

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. It’s generated by a host of sources in different ways.