Don’t Miss Artificial Intelligence (AI) and Machine Learning (ML) Week in March

Artificial intelligence (AI) applications sound cool but what’s real and what’s hype? How do you start to put your arms around this and help your organization solve specific challenges?

If you’re curious to see what AI and ML can do for specific missions, join us for AWS Artificial Intelligence and Machine Learning Week from March 25 – 29, 2019.

This complimentary public sector webinar series dives into the use cases with the most impact on public sector customers. The program is geared towards IT professionals with little to no AI and ML experience, helping sift through the facts to determine a way forward.

Webinar topics include enabling adaptive learning, cybersecurity, recommendation and personalization engines, content search/discovery/publishing, content translation/localization, content moderation, text extraction, semantic search, sentiment analysis, intelligent data warehouses, fraud analytics and more. See the agenda here.

“We want to help customers without AI/ML expertise determine a strong and feasible use case to trial AI and ML with a proof-of-concept. The webinars help customers incorporate artificial intelligence into their existing applications, derive new insights from their data, and ultimately see for themselves how easy it is to improve outcomes with AI,” notes Balaji Iyer, the AWS public sector expert on AI/ML.

No AI/ML experience or expertise is necessary. IT professionals, engineers, and data scientists of all backgrounds can register for AWS AI and ML Week. Learn more about each of the webinars below.

• Modernize Citizen Services: Support contact center modernization, conversational interfaces, crowd analytics, process automation, and content moderation with AI and ML. Monday, March 25 at 11am ET.
• Improve Education Outcomes: Improve student outcomes by enabling adaptive learning, recommendation and personalization engines, content search/discovery/publishing, content translation/localization, content moderation, and natural language processing (NLP). Monday, March 25 at 2pm ET.
• Strengthen Cybersecurity: Enable threat detection of unusual user behaviors, identify anomalies, prevent data breaches, and quickly assess your organization’s vulnerabilities. Tuesday, March 26 at 2pm ET.
• Innovate Digital Content Management: Enable text extraction, semantic search, sentiment analysis, metadata extraction, and intelligent data warehouses. Wednesday, March 27, at 2pm ET.
• Improve Public Health: Enable personalized care, predictive medicine, and early interventions. Thursday, March 28 at 11am ET.
• Support Fraud Analytics and Risk Management: Enable fraud analytics, improve risk modeling, and support grant management. Thursday, March 28, at 2pm ET.

Register here.