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A leader in the data economy explains how we arrived at AI—and
how we can navigate its future. In The Datapreneurs, Bob Muglia
helps us understand how innovation in data and information
technology have led us to AI—and how this technology must shape
our future. The long-time Microsoft executive, former CEO of
Snowflake, and current tech investor maps the evolution of the
modern data stack and how it has helped build today’s economy and
society. And he explains how humanity must create a new social
contract for the artificial general intelligence (AGI)—autonomous
machines intelligent as people—that he expects to arrive in less
than a decade. Muglia details his personal experience in the
foundational years of computing and data analytics, including with
Bill Gates and Sam Altman, the CEO of OpenAI, the creator of
ChatGPT, and others that are not household names—yet. He builds
upon Isaac Asimov’s Laws of Robotics to explore the moral,
ethical, and legal implications of today’s smart machines, and
how a combination of human and machine intelligence could create an
era of progress and prosperity where all the people on Earth can
have what they need and want without destroying our natural
environment. The Datapreneurs is a call to action. AGI is surely
coming. Muglia believes that tech business leaders, ethicists,
policy leaders, and even the general public must collaborate answer
the short- and long-term questions raised by its emergence. And he
argues that we had better get going, because advances are coming so
fast that society risks getting caught flatfooted—with
potentially disastrous consequences. Â
When the world reemerges from the COVID-19 pandemic, it seems
likely that it will have transformed irrevocably. Can societies
already reeling from climate change, income inequality, and
structural racism change for the better? Does the shock of the
pandemic offer an opportunity to pivot to a more sustainable way of
life? Early in the crisis, a global volunteer collaboration called
Pivot Projects was formed to rethink how the world works. Some
members are experts in the sciences and the humanities; others are
environmental activists or regular people who see themselves as
world citizens. In The Pivot, the journalist Steve Hamm-who
embedded in the enterprise from the start-explores their efforts
and shows how their approach provides a model for achieving
systemic change. Chronicling the group's progress along an
uncharted path, he shows how people with a variety of skills and
personalities collaborate to get things done. Through their work,
Hamm examines some of today's most important technologies and
concepts, such as systems thinking and modeling, complexity theory,
artificial intelligence, and new thinking about resilience. The
book features vivid, informal profiles of a number of the group's
members and brings to life the excitement and energy of dynamic,
smart people trying to change the world. Part journal of a plague
year and part call to action, The Pivot tells the remarkable story
of a collaborative experiment seeking to make the world more
sustainable and resilient.
We are crossing a new frontier in the evolution of computing and
entering the era of cognitive systems. The victory of IBM's Watson
on the television quiz show Jeopardy! revealed how scientists and
engineers at IBM and elsewhere are pushing the boundaries of
science and technology to create machines that sense, learn,
reason, and interact with people in new ways to provide insight and
advice. In Smart Machines, John E. Kelly III, director of IBM
Research, and Steve Hamm, a writer at IBM and a former business and
technology journalist, introduce the fascinating world of
"cognitive systems" to general audiences and provide a window into
the future of computing. Cognitive systems promise to penetrate
complexity and assist people and organizations in better decision
making. They can help doctors evaluate and treat patients, augment
the ways we see, anticipate major weather events, and contribute to
smarter urban planning. Kelly and Hamm's comprehensive perspective
describes this technology inside and out and explains how it will
help us conquer the harnessing and understanding of "big data," one
of the major computing challenges facing businesses and governments
in the coming decades. Absorbing and impassioned, their book will
inspire governments, academics, and the global tech industry to
work together to power this exciting wave in innovation.
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