Future Analytics Ecosystem Principles

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A little over a decade ago I had the great pleasure of hearing a commencement speech for my son. Eric Lander, the leader of the human genome project, described his journey through science and life. He shared that he did not have a clear direction as a mathematics major at Princeton, and the labyrinth of decisions that followed to get him into genetic biology. He also shared the process of science and its adoption into the culture and economy of the modern-day world. His punchline was that it takes a generation to understand and incorporate scientific discoveries into the economy and culture, as my father had once told me.


AI in Drug Discovery: A Dystopian Dream and an Immediate Reality

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Advances in computer science have had a profound, largely positive impact on our personal lives – helping us to sustain friendships, cultivate new ideas and more expertly explore our world. More recently, advances in data science such as artificial intelligence (AI) have augmented society's new digital reality, empowering decision-making in nearly every facet of consumer life – except healthcare. We find ourselves in a pregnant moment, then, where the anticipation of material impact of AI on human health is accentuated by its certain reality but its uncertain ultimate manifestations. While it's increasingly clear that disruptive technologies from Silicon Valley will radically change the way that we make and test medicines, biopharma and healthcare need to level up in digital. Complicating matters, the acute distortion of the AI innovation-time continuum has created impressive, distracting hype.


Fossils show quick rebound of life after ancient mass extinction

The Japan Times

WASHINGTON – Fossils including sharks, sea reptiles and squid-like creatures dug up in Idaho reveal a marine ecosystem thriving relatively soon after Earth's worst mass extinction, contradicting the long-held notion life was slow to recover from the calamity. Scientists on Wednesday described the surprising fossil discovery showing creatures flourishing in the aftermath of the worldwide die-off at the end of the Permian Period about 252 million years ago that erased roughly 90 percent of species. Even the asteroid-induced mass extinction 66 million years ago that doomed the dinosaurs did not push life to the brink of annihilation like the Permian one. The fossils of about 30 different species unearthed in Bear Lake County near the Idaho city of Paris showed a quick and dynamic rebound in a marine ecosystem, illustrating the remarkable resiliency of life. "Our discovery was totally unexpected," said paleontologist Arnaud Brayard of the University of Burgundy-Franche-Comte in France, with a highly diversified and complex assemblage of animals.


12 Startups Fighting Cancer With Artificial Intelligence

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As the global population ages, the number of cancer cases is going up. New cancer diagnoses are expected to rise by 70% in the next 2 decades, from 14 million to around 22 million, according to an estimate by the World Health Organization. Corporate giants like Google and IBM are already focusing on making breakthroughs in oncology, using advanced AI algorithms for early detection and personalized treatment of cancer. We used the CB Insights database to find equity-funded startups that are using artificial intelligence to fight cancer. California-based CureMetrix has developed an algorithm for image analysis, which is currently being tested to identify lung cancer in x-rays and for breast cancer detection in mammograms.


6 voicebot challenges and opportunities

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The voicebot ecosystem is growing immensely -- and amazing opportunities abound. Reading a recent post by Alon Bonder, and realizing the main subject of conversation for product managers, startups, and developers is voice-tech, I figured out some points to help you focus on building the right product for what's coming next. Basically, the mobile apps ecosystem we saw growing 10 years ago is making a return, but this time it is all about…voice. In the beginning, before the mobile apps ecosystem rose in popularity, problems weren't as clear as they are today. Specific iOS apps had memory problems; the UI was too simple; the development platforms were horrid (or nonexistent); there weren't enough solutions for mobile app marketing, acquisition, and attribution; and the competition featured apps alongside thousands of farting, semi-funny, and non-valuable apps.