Elon Musk’s Neuralink reminds us of what is possible in the age of Artificial Intelligence - do you know who you are?
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We all chafe against the brittleness of SIRI, Alexa, Google… every day. They’re so incredibly useful and yet so incredibly… well, stupid, at the same time. For instance:
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On August 20, 2020, The Responsible Innovation Project, held an academic and industry roundtable on Responsible AI, raising the question: Can AI really be responsible? The goal was to arrive at a collective understanding of the challenges and strategies for building AI responsibly. The participatory roundtable included multi-disciplinary academic and industry leaders, practitioners, and researchers working on technology and AI or at the intersection of technology, policy, and humanities. The diverse group converged on one meta-theme: The need and desire to put society and people front and center of Technology and AI. And the struggle to figure out how.
IPAoT is the next phase in the evolution of IoT! Connectivity of devices in our homes, offices, and industries is ubiquitous. Connectivity is exploding. Several technologies such as 5G, Cloud, Blockchain, and AI are critical catalysts in the pervasiveness of robust and pragmatic solutions with IoT. But the glue that ties it together and connects IoT devices to people, enterprises, and trading partners is Process Automation.
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Trump's White House has been using to model the COVID outbreak. This is just plain bad math. The key to building a mathematical or statistical model is to include variables that represent the driving phenomenon. For instance, most econometric and epidemiological models include a variable for time because things are expected to change over time.
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Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable.
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The most powerful impact of AI can be realized in the context from the end-to-end digitization of value streams (aka “value chains”) involving multiple participants, business units or partners. A value stream is associated with a business measure (a Key Performance Indicator (KPI)) and typically involves multiple participants across the digital enterprise. Borrowing a compelling perspective from Theory of Constraints: “a chain is no stronger than its weakest link.”
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There’s no doubt about it, digital technology has become an indispensable tool for driving customer engagement. For many companies, effective digital solutions are the foundation on which positive B2C, B2B, and B2B2C relationships are built. Technology fills in where legacy or manual systems could not, allowing businesses to create personalized, and intelligent digital user-friendly journeys for a wide range of consumers.
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The increasingly fast paced and competitive landscape of products and services have necessitated innovative approaches for managing logistics and supply chain. Logistics pertains to distribution and organization of products within an organization. It includes warehousing and transportation and is considered part of the overall Supply Chain. How important is Supply Chain?
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This Select Curated Content is published in Entrepreneur by Mark Minevich — Though specialized STEM programs for girls are a step in the right direction, we need to make a leap. Here are four actionable ideas.
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Digitization is having a remarkable impact on all industry sectors. Manufacturing in particular is in the midst of a major digital transformation shift often characterized as Industrie 4.0 (aka Industry 4.0 or Smart Manufacturing (especially in the US)).
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AI brings mixed emotions and opinions when referenced in the context of jobs. AI will eliminate the need for many different kinds of jobs in many different categories. But at the same time, AI will create new jobs in many categories. Is AI an overall job killer or job creator?
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In the past few years we witnessed a pervasive emphasis on Digital Transformation (DX). Digitization continued to be a top priority. Each year there are predictions on various digital technologies that will impact DX. Examples for 2018 include IoT Predictions, top predictions on DX itself, and Customer Experience predictions – to name a few.
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