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Artificial Intelligence

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  • Executing Machine Learning and Deep Learning Projects
    Executing Machine Learning and Deep Learning Projects
    Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: May 23 2019 59 mins
    The capability of finding patterns in data and turn that into actionable insights, to predict the future state, is the key to the competitive advantage for any organization. This can drive better strategies. Today, every CEO wants the business problems to be solved with the use of automated Artificial Intelligence/Machine Learning framework. But, whether this can be achieved and to the degree that one can, depends on various things such as vision, commitment and involvement to name a few. This is the question pondered on by the senior executives. In this presentation, our goal is to help organizations understand the best practices and frameworks/tools of Artificial Intelligence in general, Machine Learning and Deep Learning in particular thus help you think about how you and your organization may stay relevant and successful in the years and decades to come.
  • Predictive Maintenance and Monitoring using AI and Machine Learning
    Predictive Maintenance and Monitoring using AI and Machine Learning
    Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7 Recorded: May 21 2019 48 mins
    In this webinar we will showcase how Google Cloud Platform and its Big Data processing, IOT sensor connectivity and Tensorflow based state of the art machine learning can be used to predict failures and more importantly extend the life of the production equipment leading to break through innovation in production automation and significantly improving productivity and manufacturing flexibility.

    About the speaker:
    Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7

    Thought Leadership in Digital Business Transformation, Cloud and Saas Solution, Data driven Analytics, Value Chain/Supply Chain and Ai and Machine Learning

    Overall 25+ years expertise in innovative business transformation services for Value Chain/Supply Chain and Manufacturing, CPG, High Technology and related Industries.

    Implemented solutions leveraging multiple technologies, Cloud, SaaS, Hybrid architectures leveraging advanced and predictive analytics using data sciences, AI and machine learning for Sales and Marketing, Services, Quote to Cash and Supply Chain.

    Have led several business transformational initiatives for Large Enterprise customers such as ABinBev(Anheuser Busch) Cisco, General Electric, IBM, Vodafone, General Motors, Tata Motors and many others.

    Certified Google Professional-Data Engineer
  • AI/ML and AR/VR Applications in Real Life
    AI/ML and AR/VR Applications in Real Life
    Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundries Recorded: May 16 2019 59 mins
    In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.

    With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.

    About the Speakers:

    With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.

    DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.
  • The State of Artificial Intelligence: Where Are We Now and Where Are We Headed?
    The State of Artificial Intelligence: Where Are We Now and Where Are We Headed?
    Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigor Recorded: May 14 2019 61 mins
    Join Artem Golubev, CEO of TestRigor and Aleksey Malyshev, Machine Learning Engineer at TestRigor as they discuss the current state of artificial intelligence from an engineering & business perspective.

    What is AI for the enterprise truly capable of and how much of the conversation surrounding AI is just hype? Tune in to find out!
  • Today's Simple AI For All
    Today's Simple AI For All
    Maurice Flynn, Director of Data Science, The FF Foundation Recorded: May 2 2019 52 mins
    AI attracts a lot of attention today and the advances are usually driven by machine and/or deep learning. However the tools that most use in this space require specialist (technical & data) skills. Fortunately a new generation of tools are emerging that aim make AI available to all. Im a big believer and supporter of this trend. In this session I take you through the tools and techniques that are making AI capabilities more easily available to billions of ordinary folk worldwide.
  • The State of Artificial Intelligence: Where Are We Now and Where Are We Headed?
    The State of Artificial Intelligence: Where Are We Now and Where Are We Headed?
    Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigor Recorded: Apr 30 2019 62 mins
    Join Artem Golubev, CEO of TestRigor and Aleksey Malyshev, Machine Learning Engineer at TestRigor as they discuss the current state of artificial intelligence from an engineering & business perspective.

    What is AI for the enterprise truly capable of and how much of the conversation surrounding AI is just hype? Tune in to find out!
  • The Path to Enterprise AI: Tales from the Field
    The Path to Enterprise AI: Tales from the Field
    Larry Orimoloye, Sales Engineer, Dataiku Recorded: Apr 18 2019 33 mins
    Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Larry Orimoloye, Sales Engineer at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can supercharge your quest to this AI-fueled future.

    Larry Orimoloye is an applied statistician with strong expertise in driving ROI from all analytics investment. He possesses a solid grasp and understanding of analytics life cycle (end-to-end process). Larry has acted as strategic adviser and domain expert to wide range of clients including Apple, EE(T-Mobile/Orange), Sky, ExxonMobil, FedEx among others.
  • Analytics Driven Personalized Healthcare Using Machine Learning and AI
    Analytics Driven Personalized Healthcare Using Machine Learning and AI
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare Recorded: Apr 16 2019 61 mins
    Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:



    Descriptive (what happened)
    Diagnostic (why it happened)
    Predictive (what is likely to happen)
    Prescriptive (what should we do)
    Personalized (what should “I” do)


    Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.
  • Architecting an Open Source Data Science Platform: 2018 Edition
    Architecting an Open Source Data Science Platform: 2018 Edition
    David Talby, CTO, Pacific AI Recorded: Apr 11 2019 61 mins
    Join David Talby of Pacific AI as he updates the best practices and techniques for building an open source data science platform.
  • The Future with AI and Machine Learning
    The Future with AI and Machine Learning
    Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab Recorded: Apr 9 2019 63 mins
    Artificial Intelligence (AI), Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as common people are trying to make out, if it is hype or not. While there is a hope there is also gloom somewhere, as far as AI is concerned.

    In this session Dr. Umesh Hodeghatta Rao and Mr. Umesha Nayak will explain how AI and Machine learning algorithms can be applied to some of the day to day activities we do and how it can improve the quality of our lives. The speakers will walk you through some of the real-world examples in healthcare, transportation & automotive, business & commerce and education including those on strategizing the business. They will also talk about the challenges in implementing AI/Machine Learning and circumstances under which AI applications will normally be successful compared to when they are likely to be unsuccessful.

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