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Speeches matching topic Big Data and speakers whose last name begins with S
Showing 1 - 5 of 5 speeches.

As technologies such as cloud, mobile, big data and artificial intelligence gain a foothold in the mainstream of business and entrepreneurship, we are gearing up for the most significant disruption in our approach to how we work, live and learn.

This shift towards intelligent machines will create more value and disruption than the Web/Internet did 20 years ago. Manoj Saxena’s talks describe how these forces are already driving rapid business model innovation and outline how business leaders need to take a different, courageous approach to either disrupt or be disrupted from this technology superconvergence.

Sample Speeches:

  • Disrupt or Be Disrupted: Impact of Machine Intelligence and Digital Technologies for Your Business
    C-level presentation on the disruptive impact and potential from the superconvergence of six digital technologies (mobile, cloud, big data, social, analytics and artificial intelligence).
  • Cognitive Computing: Humanity’s Next Big Leap
    General audience presentation on what is cognitive computing, its applications, pitfalls and potential for driving business and societal change, and how intelligence machines and cognitive computing will be the next force multiplier for businesses.
  • Courage to Fail Fast, Fail Forward: Managing Technology and Business Model Innovation in the Age of Intelligent Machines
    How business and IT need to approach technology and business model innovation in this era of intelligent machines powered by mobile, cloud, big data, social and analytics technologies.

Dramatic changes in the capacity, size and distribution of technology has meant an unprecedented acceleration in the generation of electronic data in recent years. This includes traditional health data, but also nontraditional sources like smartphones, shopping data and more. More recently, machine learning and other artificial intelligence (AI) systems have been developed which can utilize these enormous amounts of data, seeking useful patterns.  While the commercial sector has taken the lead in applying AI to big data, it’s clear that it will also be applied to both the traditional healthcare system as well as to health promotion outside that system. Dr. Joel Selanikio, a technologist and practicing physician, leads the audience from the definitions and origins of big data through examples of the first steps—and the larger promise—of applying AI in healthcare.

For nearly 15 years, Dr. Joel Selanikio has headed Magpi, a technology company creating affordable tools widely used within global health, the non-profit sector and international development. Often described as “like Gmail but for data collection,” Magpi was the first to apply the self-service principles of Gmail and Facebook, the “software-as-a-service” technology approach of Salesforce, the “freemium” pricing model of Skype, and other Silicon Valley technology and business models to the very different world of global health and international development. For anyone interested in social enterprise, or how technological innovation can be applied to solve social problems, Dr. Selanikio will guide you through a frank discussion of the challenges and pitfalls that can divert or derail, the technology approaches that let you “punch above your weight” and the achievements that result.

We are almost fifty years into a titanic shift in technology, from institution-centric to consumer-first.  The effects of this change are now being felt in the healthcare IT space, as medical staff accustomed to Uber and iPhones push back against antiquated, unconnected EHR (electronic health record) systems. What’s the nature of this secular shift, how did it happen, and what does it mean for the future of health, and of healthcare IT. Dr. Selanikio will take the audience through more than fifty years of accelerating change, and explain why the biggest changes in health tech are yet to come.

As traditional global trade in goods and services has leveled off, cross-border data flows continue to expand rapidly and the challenges of developing policies that protect privacy, security, and innovation are growing more complex by the day. Cheap storage, mobile connectivity, and sophisticated analytics mean airlines can predict engine trouble, factories can slash operating costs, and drivers who allow their cars to be monitored can buy cheaper insurance. But all this requires data that moves easily and seamlessly across borders and so far the United States and Europe have only managed a fragile regime to protect transatlantic data flows for a narrow range of commercial purposes.

How will they regulate the proliferation of data in finance, health care, and industrial operations? How will they support innovation while protecting privacy and national security? How will voters or companies become involved in shaping these new rules? If Washington and Brussels can’t agree, there’s little hope the rest of the world will either.

Showing 1 - 5 of 5 speeches.
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