A massive amount of data about the pandemic is generated every day. Although organizations such as WHO, CDC, Johns Hopkins University, and Worldometers are disseminating important statistics daily, the data is not analyzed in an efficient way to provide insights. The COVID-19 pandemic is a complex system involving biology, human behavior, companies, and governments, and it’s influenced by healthcare, economics, governance, and geopolitics. Sophisticated analytical methods could help improve..
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A massive amount of data about the pandemic is generated every day. Although organizations such as WHO, CDC, Johns Hopkins University, and Worldometers are disseminating important statistics daily, the data is not analyzed in an efficient way to provide insights. The COVID-19 pandemic is a complex system involving biology, human behavior, companies, and governments, and it’s influenced by healthcare, economics, governance, and geopolitics. Sophisticated analytical methods could help improve economic, societal, and geopolitical stability. Deep Knowledge Group has developed advanced analytical frameworks to analyze this data. The results are presented in the form of open source country rankings to help people and governments make informed decisions that maximize beneficial outcomes for humanity.
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After a year of being pummeled with information about AI being the next big thing and possibly the most impactful technology ever, it is time to step back and really form a worldview on the potential impacts on humanity. We have a few years of data points to extrapolate a future view that is reasonably accurate.
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In the technology arena, we often fail to use language in beneficial ways. We name categories with monikers like Social, Cloud and Big Data and they soon after losing any valuable meaning. There is already complexity with digital systems and poor definitions make even more difficult. The latest unhelpful moniker may be the worst – Artificial Intelligence (AI).
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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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Decentralization and its impact on organizations as well as business transactions came through loud and clear throughout the conference. Examples of pragmatic applications with disintermediated interactions spanned healthcare, financial services, sports, education, government, non-profit, beauty, industrial applications and many more. A number of presenters emphasized the new era of decentralization with an ideology that empowers communities vs. centralized greedy brokers.
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The impact on Organizational Culture is one of the most fascinating realities of the digital era. Digital technologies, including Blockchain, are just enablers of cultural trends that are transforming all demographics at an accelerated rate. Culture is always more important and impactful than pure digital technologies, as impressive as the latter are. The potential cultural impacts on individuals as well as organizations are tremendous. In order to succeed and innovate with digitization, transformation best practices should challenge long established cultural norms.
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Despite several wins and digital transformation initiatives involving Internet of Things – consumer or Industrial (aka IIoT) - ROI from IoT is still a challenge. At least that is the impression. Vodafon’s 2017/2018 Barometer of IoT shows trends and positive results in the adoption of IoT in different industries. According to the survey “74% agree that digital transformation is impossible without IoT.” The study does reflect some concrete ROI returns and success from those who have been adopting IoT. Interestingly, the report indicates IoT is being integrated in existing business processes. As we shall see, this business process centricity (which we called Process of Everything), is the key to IoT success.
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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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The decentralized ledger technology underlying cryptocurrencies – Blockchain – is becoming a defacto solution for many peer-to-peer applications.
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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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As AI continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the right people and skills in place. In particular, there has recently been a significant increase in demand for data scientists in organizations as AI, various applications of machine learning (ML), non-ML predictive analytics, and other so-called “big data” approaches continue to gain traction in the enterprise. In fact, the significant demand for data scientists has led to the talent crunch that we’re seeing across many enterprises and organizations. However, given that 80% of an AI project has to do with data preparation and data engineering activities, perhaps organizations should really be searching for data engineers even more than data scientists?
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The quantum revolution is starting to gain traction as more people are realizing the potential technological capabilities of this less understood but powerful science. Quantum technology is still in the early phases of development, but its incredible capabilities could enhance our digital future in unprecedented and almost unpredictable ways. Quantum computing is at the tip of the spear in this technological wave and could exponentially heighten our computing power while strengthening other developing technologies such as Artificial Intelligence. There are seemingly endless applications for quantum technologies in all aspects of society, but the most influential could be in the field of homeland security.
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I knew the end of Agile was coming when we started using hockey sticks. Every morning, at precisely eight o'clock, the team of developers and architects would stand around a room paneled in whiteboards and would begin passing around a toy hockey stick.
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