Hi [[ session.user.profile.firstName ]]

Predictive Maintenance and Monitoring using AI and Machine Learning

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
Recorded Feb 13 2019 49 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
Presentation preview: Predictive Maintenance and Monitoring using AI and Machine Learning

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • Data Lakes in the Cloud is Different- Bringing More Value to Big Data Pipelines Jun 12 2019 12:00 pm UTC 60 mins
    Kumar Chinnakali, Lead Architect, Knowledge Lens
    Nowadays, end users use data lakes in the cloud to conduct their day-to-day operations in a very similar fashion to how they would for a business application hosted within an enterprise's own data center.

    With the many options provided by cloud providers, such as SaaS, PaaS, IaaS, etc, there are a myriad of ways in which business applications can be hosted in the cloud while ensuring that all essential enterprise policies and governance are properly handled. As a result, many enterprises have pursued these options as a way to host internally developed applications using cloud providers.

    In this webinar, Kumar will discuss the opportunities that can arise from a cloud-first approach to data lakes and how to optimize your cloud strategy to bring more value to your big data pipeline.
  • State of the Art Natural Language Understanding in Healthcare May 30 2019 5:00 pm UTC 59 mins
    David Talby, CTO, Pacific AI
    The ability of software to reason, answer questions and intelligently converse about clinical notes, patient stories or biomedical papers has risen dramatically in the past few years.

    This talk for practicing data scientists and software engineers covers state of the art natural language processing, deep learning, and machine learning libraries in this space. We'll share benchmarks from industry & research projects on use cases such as clinical data abstraction, patient risk prediction, named entity recognition & resolution, negation scope detection, and cohort selection.
  • Architecting a Security & Compliance Ready Data Science Platform May 29 2019 4:00 pm UTC 62 mins
    David Talby, CTO, Pacific AI
    Join David Talby of Pacific AI as he overviews the security and compliance checklist when architecting a data science platform.
  • Executing Machine Learning and Deep Learning Projects Recorded: May 23 2019 59 mins
    Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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 Recorded: May 21 2019 48 mins
    Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
    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 Recorded: May 16 2019 59 mins
    Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundries
    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? Recorded: May 14 2019 61 mins
    Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigor
    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 Recorded: May 2 2019 52 mins
    Maurice Flynn, Director of Data Science, The FF Foundation
    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? Recorded: Apr 30 2019 62 mins
    Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigor
    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 Recorded: Apr 18 2019 33 mins
    Larry Orimoloye, Sales Engineer, Dataiku
    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 Recorded: Apr 16 2019 61 mins
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare
    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 Recorded: Apr 11 2019 61 mins
    David Talby, CTO, Pacific AI
    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 Recorded: Apr 9 2019 63 mins
    Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab
    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.
  • [Ep.5] Quantum Machine Learning Recorded: Apr 5 2019 48 mins
    Bhagvan Kommadi, Founder of Quantica Computacao, India's first quantum computing startup
    Quantum machine learning is an emerging interdisciplinary research area intersecting quantum physics & machine learning. It is often associated with machine learning methods applied to data from quantum experiments. Quantum computers provide the computational advantage to classify objects in nth dimensions.

    Quantum machine learning is applied in the areas of nano-particles, material discovery, chemical design, drug design, pattern recognition & classification. Use cases include: creating new materials for space tech, wearable tech, renewable energy, nanotech, new drugs & chemical combos, genetic science, biometrics, IoT devices & universe discovery.

    Quantum walks are a quantum analogue to random walks and have substantially reduced time-consumption in Monte Carlo simulations for mixing of Markov chains (Ashley Montanaro, 2015). These quantum algorithms are applied in wealth management & trading.

    Key TakeAways
    -Discover classic machine learning & quantum machine learning methods & applications in various areas.
    -Learn how quantum algorithms are applied in wealth management and trading.
    -A demo on quantum algorithms

    Bio: Bhagvan Kommadi is the Founder of Architect Corner & has around 18 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product startups. He has a Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) & Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is a member of IFX forum, Oracle JCP and participant in Java Community Process.

    He founded Quantica Computacao, the first quantum computing startup in India. Bhagvan has engineered & developed simulators & tools in the area of quantum technology using IBM Q, Microsoft Q# & Google QScript. The company's focus is on developing quantum cryptographic tools, which will provide quantum-proof data security that will help banking institutions protect their transactions.
  • [Ep. 4] Analytics Driven Personalized Healthcare Using Machine Learning and AI Recorded: Mar 12 2019 61 mins
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare
    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.
  • [Ep.3] AI+Machine Learning and AR+VR Applications in Real Life Recorded: Feb 26 2019 59 mins
    Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundries
    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.
  • Today's Simple AI For All Recorded: Feb 14 2019 53 mins
    Maurice Flynn, Director of Data Science, The FF Foundation
    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.
  • Predictive Maintenance and Monitoring using AI and Machine Learning Recorded: Feb 13 2019 49 mins
    Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
    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
  • Future with AI and Machine Learning Recorded: Feb 13 2019 64 mins
    Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab
    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.
  • Analytics Driven Personalized Healthcare Using Machine Learning and AI Recorded: Feb 13 2019 61 mins
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare
    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.
A journey of ideas and action from man to machine
This channel covers the advent of artificial intelligence in business and society. Join the discussion with webinars and videos covering everything from neural networks, to computer vision and NLP, to machine learning and AI application in the real world.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Predictive Maintenance and Monitoring using AI and Machine Learning
  • Live at: Feb 13 2019 10:00 pm
  • Presented by: Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
  • From:
Your email has been sent.
or close