SAS Leaders Exchange: Virtual Series 2022 | Commercial

Organizations today are gathering huge amounts of data from a variety of sources, including mobile apps, social media, and many more.  Yet, the organizations with the most data don’t necessarily prevail.  Rather, it’s the ones that place data at the heart of all their decision making that compete the most effectively.  Speed to insights has long been an important objective, but users are frustrated by delays in getting from data to insights, sometimes due not to technology but to project disorder.  Challenges are only growing as data gets more voluminous, varied, and faster with streaming data.  Fortunately, solutions are providing options to fit new and advanced use cases, analytics, and Artificial Intelligence (AI) workloads.  Organizations continue to want to identify repeatable decisions that can be programmed into algorithms to reduce delays and costs and increase efficiency and scale.  AI does currently and will increasingly play a prominent role in enabling decision automation.  However, AI and decision automation are not the whole story when it comes to reducing time to insight.  AI is part of a broader trend toward integrating analytics with business applications, processes, and workflows for this purpose.

Leveraging data and analytics, including AI and Machine Learning (ML), is something organizations today cannot afford to fall behind on.  It is a mistake to install the technology and think that is all that needs to happen.  Embedding analytics deeply in the enterprise requires a culture that recognizes the importance of relying on information-based decisions.  Creating that culture requires a clear, pragmatic strategy for transformation.  Successful organizations of the future will transform for its customers, using AI & ML to unlock the power of data, drive insights, and join up the way decisions are made across products, teams, and departments.  By embracing intelligent decisioning, organizations can make the best decision, all the time.  Intelligent decisioning encompasses these AI-driven capabilities – it can help organizations adapt rapidly to changing market conditions and provide personalized, fast, and high-quality services that customers expect as standard.  Given this, it can transform organizations to be successful in the future, which means enriched customer experience, real-time next best actions (NBA) and increased reach to a more varied range of customers, resulting in reduced costs, optimum allocation of resources, and increased revenue.

Join your peers in the industry, and the experts from SAS, for an intimate, invitation-only event to foster conversation, learnings, and hear from SAS Experts talk about the real value of Data, Advanced Analytics, AI, ModelOps, Intelligent Decisioning and Customer Intelligence in driving strategic decision making – today and in the future.

Highlights:
Digital Transformation, Data, Visualization, Modeling, Advanced Analytics, Artificial Intelligence, Machine Learning, Deep Learning, ModelOps, Operationalizing Analytics, Intelligent Decisioning, Customer Intelligence, Customer Journey