Smart Data Collective
JANUARY 27, 2021
A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.
DataRobot
OCTOBER 19, 2021
Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).
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CIO Business Intelligence
OCTOBER 23, 2023
IT professionals can play a pivotal role by strategically leveraging as-a-service models as a key part of their organizations, enabling them to contribute not only to cost efficiencies but also to their organizations’ sustainability goals. It’s a win-win scenario when moving to an as-a-service model. Actual Results will vary.
IBM Big Data Hub
JANUARY 9, 2024
We’ve found in this new IBM-sponsored IDC white paper that the shift to delivering IT-as-a-service is foundational and extends the strategic transformation of IT infrastructure, adding even more value to the business. This is what the “fit-for-purpose” model of XaaS is out to achieve.
Jet Global
OCTOBER 25, 2023
This historical data is fed into a mathematical model that considers key trends and patterns in the data. The model is then applied to current data to predict what will happen next. It uses past data, machine learning, and smart AI to forecast what’s coming down the road.
IBM Big Data Hub
MARCH 8, 2024
Today, 45% of networks worldwide are 5G compatible, with that number forecasted to rise to 85% by the end of the decade according to a recent report by Ericsson (link resides outside ibm.com). The initiative was a success, and 5G networks began to grow swiftly in the ensuing years.
Jet Global
DECEMBER 7, 2020
This incomplete data affects tax forecasting and other aspects of financial planning, and it limits the tax department’s ability to offer insights that inform strategic decision-making at the executive level. Find out how to approach this decision through our white paper, Corporate Tax Software: To Build or Not to Build?
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