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AI applies advanced analysis and logic-based techniques, including machine learning (ML), to interpret events, support and automate decisions, and take actions. Capabilities for AI include: *Strategy *Data engineering (curation, labeling) *Model development and testing (computer vision, graph, natural language processing [NLP], optimization) *Operations (ML operations [MLOps], monitoring) *Governance D&A is the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences. Capabilities for D&A include: *Analytics and business intelligence (BI) *Data integration *Data management (and data governance) *Data quality *Data science and ML *Master data management *Metadata management

• LatentView AI and Data and Analytics (D&A) Service Providers
  5.0

  1 Review

Marketing analytics skills are among the most important capabilities in the marketing organization, yet it remains difficult to recruit, hire and retain people with strong skills to support in-house teams. Most marketing teams still struggle with a skills gap in this domain. As a result, marketers seek to augment internal teams by using advanced analytics service providers that offer third-party expert resources, proprietary methodologies and models, and even managed technology to help marketers tackle some of their toughest challenges. Vendors in this market specialize in advanced analytics, including sophisticated methods such as mapping the customer journey, attributing marketing spend to measured outcomes, simulating and measuring business impact of marketing and advertising campaigns, and implementing predictive models. Engagements may be project-based or part of an ongoing partnership, and may include the use of proprietary technology.

• LatentView Analytics Advanced Analytics Services for Marketing
  3.0

  1 Review