Janakiram MSV
Principal Analyst
Janakiram & Associates
location_on India
Member since 2 years
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Janakiram MSV
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Janakiram is a practicing architect, analyst and advisor with a focus on emerging infrastructure technologies. He provides strategic advisory to technology platform companies, startups, ISVs, and enterprises. As a practitioner working with a diverse Enterprise customer base across the domains of AI, IoT, Cloud, Microservices, DevOps, and SaaS, Janakiram gains insight into the enterprise challenges, pitfalls and opportunities involved in emerging technology adoption.
Janakiram is an Amazon and Microsoft certified cloud architect, as well as a Google Developer Expert, IBM Cloud Champion, CNCF Ambassador, and Microsoft Regional Director. He is an active contributor at Gigaom Research, Forbes, The New Stack, and TechRepublic.
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How to Accelerate AI at the Edge
20 Mins
Demonstration
Intermediate
AI and ML models are moving to the edge for inferencing. If the public cloud is the preferred environment for training the models, it is the edge where most of the models are deployed for inferencing. Unlike the cloud and data center, edge computing environments are highly constrained. They are deployed in remote, harsh environments that make them difficult to manage. To optimize deep learning models for the edge, both hardware and software vendors have built various platforms to accelerate the inferencing. This session introduces the current state of AI@Edge while discussing various choices from Amazon, Google, Intel, Microsoft, NVIDIA, and Qualcomm.
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Accelerate Machine Learning Adoption with AutoML
20 Mins
Demonstration
Beginner
One emerging trend that's going to fundamentally change the face of ML is AutoML. It enables business analysts and developers to evolve machine learning models that can address complex scenarios. From platform companies such as Google and Microsoft to early-stage startups, AutoML is fast gaining traction. This session demonstrates how AutoML accelerates building machine learning models.
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