Trends in AI/ML, Data Science and Analytics for 2022

Rakesh works as a Customer Engineer, Analytics, assisting customers in achieving success with Data Analytics on the Google Cloud Platform. He has over 14 years of experience in analytics and AI\/ML solutions, and has advised many organizations ranging from the government to startups to Fortune 500 corporations on Big Data Analytics technologies.

Testing has seen some significant changes over the years to drive efficiency and accelerate the software development process. One of these revolutionary innovations is implementing AI tools, like Waikato Environment for Knowledge Analysis (WEKA), to assist with test management.

Businesses can no longer compete with only the assets, talent and technology within their four walls. Yet their most guarded assets – their business processes and data – are fragmented across legacy systems and databases, custom-built or SaaS applications, and cloud platforms. The smartest enterprises are transforming this fragmentation into strength by connecting today’s explosion of applications and data with customers, employees, partners -- but how? Join Ross Mason, Founder and VP of Product Strategy at MuleSoft, for a discussion on the innovative approaches leading IT organizations have adopted to unlock the value of existing assets, accelerate innovation and drive competitive advantage.

Real time analytics are crucial to many use cases. Apache Spark™ provides the framework and high volume analytics to provide answers from your streaming data. Join us in this webinar and see a demonstration of how to build IoT and Clickstream Analytics Notebooks in Azure Databricks. These Notebooks will use Python and SQL code to capture data from Azure Events Hub and Azure IoT Hub, parse the data, and make it available to run in machine learning models. See how your organization can start taking advantage of your streaming data.