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Browsing: Predictive
Predictive Threat Intelligence | Preemptive External Threat Landscape Management | Cybersecurity Solutions
MNA Macau China International Gaming Finance Opinion Editorial Special Reports Partner Content PR Newswire 4 Nov 2026
Data analytics—the practice of examining data to answer questions, identify trends, and extract insights—can provide you with the information necessary to strategize and make impactful business decisions.
Explore how predictive CX transforms customer experience by anticipating needs and reducing churn with intelligent interactions.
‘I see the industry going headless. You want to stay in the screen when you’re doing the work. You want your techs to stay on the ticket, and then you want to basically have all the automation happen elsewhere, and then come back to the ticket,’ says Halo channel chief Tim Barton-Wines.
Adswerve, a consulting firm specializing in predictive marketing, announced a new specialization in partnership with Adobe. It has expanded its services with expertise in the Adobe Real-Time Customer Data Platform to give enterprise clients a central team that supports analytics, activation and eventually, orchestration.
Kroger, Vidmob, and MMA Global today announced the findings of a new industry study demonstrating that predictive creative scoring can accurately forecast e-commerce purchase conversion before media is activated, giving marketers a repeatable framework for connecting creative decisions to business outcomes.
The grocer, in partnership with Vidmob and MMA Global, was able to forecast e-commerce conversion of ad creative with 81% accuracy.
Predictive Service analyzes millions of repair records and vehicle-specific factors to flag potential failures, so Technicians can take proactive action, uncover new service opportunities, and help prevent future breakdowns. It’s available today for U.S.-based dealerships and easily enabled in your CDK Service settings.
As artificial intelligence moves from speculative sandboxes into core enterprise operations, technology leaders face a fundamental architectural question: when should an organization run its AI and predictive analytics workloads on Databricks rather than traditional cloud data warehouses or standalone machine learning tools?