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

The Future with AI and Machine Learning

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.
Recorded Jul 10 2019 63 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab
Presentation preview: The Future with 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 Dec 3 2019 1:00 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.
  • Ask the Malware Expert: Ethics in AI Recorded: Oct 10 2019 48 mins
    Alexey Malanov, Malware Expert, Kaspersky Lab
    Alexey Malanov joined Kaspersky Lab in 2004, where he began his work as a virus analyst. He has since been appointed Head of Kaspersky's Anti-Malware Team and in 2012, shifted his focus to analyzing technology trends and risks.

    The threat posed by a Strong AI (artificial intelligence where the machine's intellectual capability is functionally equal to a human's) is well-considered in many science fiction films. But the invention of a Strong AI will take many years, so we can afford not to hurry with the study of "laws of robotics."

    However, we are already facing growing concerns. The use of machine learning in various fields has shown that algorithms often make strange, discriminatory and difficult-to-understand decisions. Moreover, it has been clearly demonstrated that a person can cheat algorithms to achieve desired results.

    Alexey addresses some of the looming issues surrounding the AI algorithms that are becoming a part of our daily lives, and will increasingly affect us and our decisions.
  • Applying Machine Learning in Cyber Security Recorded: Oct 9 2019 59 mins
    Dr. Umesh Rao Hodeghatta, Chief Data Scientist, NU-Sigma Analytics Labs
    With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.

    In this session, Dr. Umesh Rao Hodeghatta will discuss:
    - How AI and Machine Learning can be applied in detecting, predicting and preventing cyber security / information security vulnerabilities
    - The benefits of using Machine Learning and AI
    - Tools available to perform the same.
  • Business Transformation with Machine Learning and AI Use Cases on Google Cloud Recorded: Sep 24 2019 58 mins
    Manju Devadas, CEO, Pluto7
    In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.

    Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:

    - Improving the taste of beer
    - Beating humans in forecast accuracy
    - Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
    - and much, much more.

    All this is being accomplished in ways that were never imagined before using machine learning and AI technology.

    In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.

    Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.

    Join BrightTALK's BI & Analytics group on LinkedIn: http://bit.ly/2PJlPHm
  • AI/ML and AR/VR Applications in Real Life Recorded: Aug 27 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 Path to Enterprise AI: Tales from the Field Recorded: Aug 22 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.
  • Business Transformation with Machine Learning and AI Use Cases on Google Cloud Recorded: Aug 20 2019 58 mins
    Manju Devadas, CEO, Pluto7
    In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.

    Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:

    - Improving the taste of beer
    - Beating humans in forecast accuracy
    - Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
    - and much, much more.

    All this is being accomplished in ways that were never imagined before using machine learning and AI technology.

    In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.

    Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.
  • Ask the Expert: Ethics in AI Recorded: Aug 15 2019 48 mins
    Alexey Malanov, Malware Expert, Kaspersky Lab
    This webinar is part of BrightTALK's Ask the Expert series.

    Alexey Malanov joined Kaspersky Lab in 2004, where he began his work as a virus analyst. He has since been appointed Head of Kaspersky's Anti-Malware Team and in 2012, shifted his focus to analyzing technology trends and risks.

    The threat posed by a Strong AI (artificial intelligence where the machine's intellectual capability is functionally equal to a human's) is well-considered in many science fiction films. But the invention of a Strong AI will take many years, so we can afford not to hurry with the study of "laws of robotics."

    However, we are already facing growing concerns. The use of machine learning in various fields has shown that algorithms often make strange, discriminatory and difficult-to-understand decisions. Moreover, it has been clearly demonstrated that a person can cheat algorithms to achieve desired results.

    Alexey addresses some of the looming issues surrounding the AI algorithms that are becoming a part of our daily lives, and will increasingly affect us and our decisions.
  • State of the Art Natural Language Understanding in Healthcare Recorded: Aug 13 2019 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.
  • Executing Machine Learning and Deep Learning Projects Recorded: Aug 8 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.
  • Analytics Driven Personalized Healthcare Using Machine Learning and AI Recorded: Aug 6 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.
  • The State of Artificial Intelligence: Where Are We Now and Where Are We Headed? Recorded: Jul 18 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: Jul 17 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.
  • AI/ML and AR/VR Applications in Real Life Recorded: Jul 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 Future with AI and Machine Learning Recorded: Jul 10 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.
  • Machine Learning To Increase Human Understanding Recorded: Jun 12 2019 45 mins
    Assaf Baciu, Co-founder, SVP of Product & Engineering at Persado
    There is a misconception that infusing automation into the customer experience will make it less human, and thus less relatable, to consumers. On the contrary, companies are pioneering AI technologies to enable them to gain a deeper understanding of the people they serve, resulting in experiences that are more relevant, personal, emotional, and ultimately rewarding--for customer and company alike.

    Join Assaf Baciu, head of product and co-founder of Persado, who will demonstrate how Fortune 1000 brands are leveraging machine learning to create emotional relationships with their audiences.
  • The Secrets to WINNING with Machine Learning Recorded: Jun 11 2019 38 mins
    Patrick Rice, CEO, Lumidatum
    It’s easy to get caught in the excitement of machine learning and start optimizing RMSE, AUC or recall, but machine learning success starts with aligning to the business.

    Join Patrick Rice, CEO of Lumidatum, as he leverages his decade of experience in big data analytics including implementing machine learning solutions at Amazon to outline the secrets to winning at machine learning and delivering real ROI to the business.
  • State of the Art Natural Language Understanding in Healthcare Recorded: May 30 2019 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 Recorded: May 29 2019 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.
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: The Future with AI and Machine Learning
  • Live at: Jul 10 2019 5:00 pm
  • Presented by: Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab
  • From:
Your email has been sent.
or close