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Maryann Byrdak, the domestic hunger relief organization’s first CIO, is leading a technology transformation at the nonprofit with data and analytics at its core.
To successfully merge IT systems after an acquisition, ask the right questions before doing the deal, and build the team before building the application, says Lars Ewe.
Putting data and visualization tools in the hands of business people is one thing; getting IT out of the business of running reports is quite another.
Business analytics is the practical application of statistical analysis and technologies on business data to identify trends and predict business outcomes.
The demand for consistent, reliable insights in-house has brought about a new role – the machine learning operations (MLOps) analyst. In this Q&A we learn about this role and what it can mean for companies and data science teams.
Digital twin, AI, and predictive analytics help put fans behind the wheel of race cars in the NTT Indycar Series, including the iconic Indianapolis 500.
The American department store chain modernized its data strategy around Google BigQuery, bringing in third-party data sets and algorithms to further hone its personalization and merchandizing efforts.
Data is the key raw material for analytics and decision-making. A strong data supply chain will improve business outcomes.
The elevator maker is bringing its fleet into the digital era with a connected solution that leverages IoT sensors and AI in the cloud to help keep its customers’ elevators humming.
Analytics company Amplitude is set to release a new customer data platform (CDP), planning to undercut market leaders with an aggressive pricing strategy.
Alt data offers enterprises the opportunity to gain competitive advantage, but the costs of integrating it into business workflows may be more than you think.
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