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.
- White Paper Data Management for Artificial Intelligence
- Solution Brief Improve Media Sales With AI & Machine Learning
- E-Book Rationalizing Risk in AI
- E-Book Making Sense of AI
- 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
AI Solutions for Telecom, Media & Technology
- SAS® Data PreparationMempersiapkan data yang akan dianalisis menggunakan persiapan data dari SAS dengan cepat dalam lingkungan layanan mandiri.
- SAS® Visual Data Mining and Machine LearningMenyelesaikan masalah Anda yang paling rumit lebih cepat dengan pemrosesan dalam memori pada satu lingkungan yang terintegrasi.
- SAS® Fraud ManagementDetect, prevent and manage fraud enterprisewide in real time – from a single platform.
- SAS® Visual Text AnalyticsMengungkap wawasan tersembunyi dalam data teks dengan kekuatan gabungan pemrosesan bahasa alami, pembelajaran mesin, dan aturan linguistik.
- SAS® Intelligent DecisioningAktifkan interaksi dengan pelanggan secara real-time dan otomatisasi keputusan operasional perusahaan.
- 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® Model ManagerMendaftar, memodifikasi, melacak, menilai, memublikasikan, dan melaporkan model analitis melalui antarmuka web yang terintegrasi dengan proses.
- 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.