Measurement Optimization ROI Uncertainty 
CIO Business Intelligence
MAY 9, 2023
Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.
CIO Business Intelligence
DECEMBER 5, 2023
Economic uncertainty, increased competition, sustainability concerns, shareholder expectations, and regulatory challenges are also top of mind. Revisit the project portfolio Strong demand management is essential for sustainable IT cost optimization, says Anja Allen, principal in EY Americas’ technology consulting practice.
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O'Reilly on Data
MARCH 31, 2020
Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”
Andrew White
DECEMBER 16, 2019
After sifting through several year’s worth of formally written data, analytics, and data and analytics strategies, we found about 85% of them did not include a measurable business outcome. As such an ROI would have been impossible. The article notes this as cognitive uncertainty. Or maybe we will just say strategy.
IBM Big Data Hub
APRIL 18, 2024
Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI would need to handle uncertainty and make decisions with incomplete information.
CIO Business Intelligence
JANUARY 4, 2023
Workflow Optimization from Edge to Core/Cloud and Back : Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Of course, data center challenges are also driving demand for these alternatives. Yes, specific AI workflows require special hardware configurations.
O'Reilly on Data
SEPTEMBER 15, 2020
Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence results in reduced risk and uncertainty.
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