Telecom, media and technology (TMT) organizations must extract insights from the vast amounts of assets and consumer data they have in order to survive in today's market environment, as they face a variety of issues:
- Harsh competition in digital channels.
- Fast-shifting customer demand for services and content.
- Rising fraud losses.
- Declining ad sales revenue.
- Difficulty managing rapidly changing network technology, combined with legacy systems.
- Continuous pressure for innovation to ensure profitability and survival.
TMTs must be able to apply machine learning and AI to an immense amount of complex data in order to drive results – from automating processes and maintaining efficiencies, to keeping costs down, to predicting changes in customer behavior – and stay ahead of the competition.
How AI Can Help
From selling ads, to fighting fraud, to improving the customer experience, AI can enhance the speed, precision and effectiveness of human efforts, resulting in a more responsive, profitable business. With AI capabilities from SAS, you can:
- Drive increased ad sales revenue. Analytics, enhanced with AI, provides the insights needed for the most effective ad sales strategies to target the right customer microsegments that will turn data into revenue.
- Quickly identify fraudulent transactions. Use AI and machine learning techniques to identify which types of transactions are likely to be fraudulent. AI techniques, including adaptive machine learning and unsupervised intelligent agents, can predict fraudulent transactions in real time – and reduce false positives – based on changes and inconsistencies in customer behavior patterns. Reducing false positives boosts customer satisfaction, protects revenue and lowers costs.
- Turn customer experience into customer engagement. With embedded AI tools, you can stitch data together from all sources, providing an accurate, holistic and evolving view of the customer journey. You can then optimize customer journeys across all channels to maximize engagement and enable real-time decisioning.
- Optimize network investments. AI and machine learning can identify and automate areas for network enhancements, such as aligning latency and bandwidth to critical workloads.
- Manage large-scale automation. Scaled up SDN and 5G network complexity will require AI tools to manage myriad configuration permutations and volumes of operational data.
- Integrate seamlessly. Integrate disparate data sources and open-source models into a unifying analytics and AI platform to derive maximum value from your network.
- Improve internal processes. As business users demand faster and larger data sets to drive network decisions, SAS-powered AI applications help optimize and automate business processes for streamlined decision making.
With more than 700 customers in the TMT industry in over 80 countries, SAS helps TMT organizations consistently achieve ROI improvements, such as:
- Improving the accuracy of network planning forecasts by more than 20%.
- Reducing operational processes by up to 95%.
- Increasing asset utilization up to 5%.
As the leader in advanced analytics, SAS advocates applying analytics to any data that has the potential to produce insights to automate processes. That's why we embed AI capabilities in our software. SAS delivers open, trusted, scalable and sustainable AI capabilities that can help TMT organizations of all sizes grow and become more profitable.
- E-Book Making Sense of AI
- E-Book Rationalizing Risk in Artificial Intelligence
- White Paper Artificial Intelligence for Executives Integrating AI Into Your Organization
- White Paper The Evolution of Analytics Opportunities and Challenges for Machine Learning in Business
- White Paper Data Management for Artificial Intelligence
AI Solutions for Telecom, Media & Technology
- SAS® Data PreparationQuickly prepare data for analytics in a self-service, point-and-click environment with data preparation from SAS.
- SAS® Visual Data Mining and Machine LearningSolve your most complex problems faster with a single, integrated in-memory environment.
- SAS® Fraud ManagementDetect, prevent and manage fraud enterprisewide in real time – from a single platform.
- SAS® Visual Text AnalyticsUncover insights hidden in text data with the combined power of natural language processing, machine learning and linguistic rules.
- SAS® Intelligent DecisioningEnable analytically driven real-time customer interactions, and automate operational business decisions at scale.
- SAS® Model Risk ManagementSignificantly reduce your model risk, improve your decision making and financial performance, and meet regulatory demands with comprehensive model risk management.
- SAS® Regulatory Risk ManagementProactively manage regulatory risk across multiple jurisdictions with a single, end-to-end risk management environment.
- SAS® Model ManagerRegister, modify, track, score, publish and report on analytical models through a web interface that is integrated with the model building process.
- SAS® Open Model ManagerRegister, deploy and monitor open source models in one central environment, uniting data scientists and IT/DevOps.
- SAS® Event Stream ProcessingGet immediate analytic insights from real-time big data streaming into your organization.