Senior Director, Azure AI Platform, Microsoft

Tell us about your first encounter with artificial intelligence (AI)?

My first encounter with AI was in 2008, when I worked in Anomaly detection in time-series data set to automatically select the best algorithm to ensure high accuracy in running internet scale services.


What is your competence within the field of AI? 

I lead AI Services platform team at Microsoft to bring AI within reach of every developer—without requiring ML expertise.


Why did you develop an interest in AI? 

Working in running internet scale services, I realized the potential of AI which helps us to do the things that the internet lets you do really well by harnessing the power of data! For example, we were able to run pervasive A/B testing, in which we routinely launch two versions of services to customers and measure which works better. At Microsoft we have thousands of experiments running at the same time powered by AI.


Can you recommend a relevant book or film about AI? 

I can recommend 2 great books:


Why should we, or should we not, be afraid of AI? 

I believe the potential of Responsible AI to empower everyone and every business in the planet to achieve more.


Which field, in your opinion, has the most to benefit from AI – and why? 

Education and Healthcare. Around the world, 2020 has emerged as one of the most challenging years in many of our lifetimes. In six months, the world has endured multiple challenges, including a pandemic that has spurred a public health and global economic crisis. The world will need a broad economic recovery that will require in part the development of new skills among a substantial part of the global workforce. The world also needs faster access to information and medical research to accelerate COVID-19 drug discovery. I believe AI will help us accelerate both these challenges and empower education and healthcare.


How should the use of AI develop in the future?

AI should be developed responsibly. At Microsoft we have put responsible AI into practice. For more details see the video and content at


Why should participants tune in during AI+? 

During my keynote, I will be presenting a talk on running “AI Services @Scale”. Azure Cognitive Services workloads are extremely diverse services and require many different types of models in practice. This diversity has implications at all layers in the system stack. In addition, the computational requirements are also intense, leveraging both GPUs and CPUs for real-time inference. Addressing these and other emerging challenges continues to require diverse efforts that span algorithms, software, and hardware design. In this talk, I will also walks through some of the challenges, including data privacy, deep customization, and bias correction, and discuss solutions we have built to tackle these challenges.

Anand Raman is a speaker at the AI+ virtual conference 2020.

The AI+ conference is made by:

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