iGaming Jan 14: GenAI, Security, Analytics
Microsoft Chief AI Officer Balamurugan Balakreshnan discusses Generative AI, Responsible AI, Data Analytics and Privacy, Application Performance and Secure Payment Transactions for iGaming companies, including casinos, lotteries, betting/gambling entities, etc.
Scroll down to see agenda. Click on Bala’s name to view his Linkedin profile, and session titles for additional information. There is time for live interaction/Q&A with the speaker so have your questions ready. CPE credit hours are provided.
As a special incentive to signup, attendees receive priority scheduling for in-person meetings with Microsoft experts, at the Barcelona ICE gaming conference on January 20-22.
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this webinar (hosted on Zoom), which also lets you download slides, watch on-demand videos, plus signup for future programs with one-click. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
Date/Time: January 14, 10 am ET
Speakers, Topics, Agenda
10 am ET Ron Gerber, CEO Angelbeat
NIST AI Risk Management Framework (RMF)
Ron’s starts the program, introduces the speaker, plus describes the need for an AI Risk Management Framework (RMF) based on the NIST-AI-600-1 Standard
10:10 am ET Balamurugan Balakreshnan, Chief AI Officer, Microsoft
OpenAI Partnership and Azure Cloud AI Services
Microsoft’s comprehensive partnership with OpenAI covers these components:
01-preview and 01-mini: Create with advanced models designed for complex problem-solving, reasoning, and extended conversations. They’re ideal for tasks like code generation, math, and scientific inquiries.
GPT-4o and GPT-4o mini: Take advantage of this multimodal model series for text, images, and audio. Use mini, a smaller, faster version of GPT-4o, for cost-effective, lightweight applications.
Fine Tuning: Tailor GPT-4, GPT-4o, and o1 series models to your specific business needs.
Responsible AI: Safeguard your generative AI experiences with Azure AI Content Safety filters turned on by default.
AI For Gaming
AI and Machine Learning (ML) dramatically accelerates the development of gaming applications. Microsoft solutions can automate manual game-balance testing workflows to train your gaming AI, find efficiencies, plus identify and predict patterns. Some specific capabilities to be discussed include:
Predict player behavior: Know what your players are going to do before they do it. Automate fraud detection, prevent cheating, and predict future trends like churn and lifetime value; with Azure Machine Learning, you don’t need a data science background.
Protect your community: Using advanced machine learning and next generation AI, Community Sift enables the classification and moderation of usernames, text, images, videos, and voice interactions, catching the most clear-cut violations of your community standards.
Support your players with bots: Using the information gleaned through Cognitive Services translation and transcription, build out automated customer support bots that do the heavy lifting in helping your playerbase—so you don’t need an army of content moderators and customer support personnel.
Digital Gaming Payments: Accuracy, Security and Regulatory Compliance
Microsoft’s secure digital payments in the cloud provides cryptographic key operations for real-time payment transactions in Azure. It meets the most stringent payment card industry (PCI) requirements for security, compliance, low latency, and high performance.
Azure datacenters that house Azure Payment solutions are PCI DSS and PCI 3DS compliant, and are FIPS 140-2 Level 3 and PCI HSM v3 certified. This allows you to simplify ongoing security audit compliance and increase your security posture.