WomenOfAI Summit 2020

If you were to ask your daughter about AI, what do you think she’d say? Not too long ago, AI was just a thing of science fiction, but today, AI’s real-world applications range from self-driving cars and search algorithms to creative art and medical diagnosis. But one of AI’s current problems is that it is only as strong as the people who are building it. A lack of diversity in AI has led to flawed and biased systems that perpetuate class and gender imbalances within AI applications.

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The COVID Cubic

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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This Professor Says We've Been Looking At The Coronavirus Data Wrong

Even as data science becomes ubiquitous, we still have a shortage of people who truly understand data. Yaneer Bar-Yam is a Professor and President of the New England Complex Systems Institute. He graduated from MIT and is an expert in complex systems. Throughout this pandemic, he has been meticulously analyzing COVID-19 data using both simple statistical models and complex system models and following government policies from all over the world. He wrote more than a few blog posts on his website to try to validate policy responses and to urge policymakers to consider how they are using data in their decision-making process.

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Can AI Enhance Meritocracy within the Workplace?

HR organizations are increasingly turning to AI as a means to identify and rate candidates for employment and promotion. There has understandably been a backlash as oftentimes companies bake discriminatory signals into their algorithms, without even realizing it. Many negative articles have been published about the pseudo-science of facial scanning algorithms to determine job match-worthiness. Obviously, it is critically important that..

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Deep Analysis Of Global Pandemic Data Reveals Important Insights

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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Deep Analysis Of Global Pandemic Data Reveals Important Insights

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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Defining AI: The 8 Kinds of AI You Should Be Familiar With

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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AI Driving Digital Customer Engagement: Part II

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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Blockchain for Organizational Culture: Part II

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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Blockchain for Organizational Culture: Part I

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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The Road to IoT Success Runs through DPA… (Digital Process Automation)

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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Setrag KhoshafianComment
AI Driving Digital Customer Engagement: Part I

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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Digital Transformation of Supply Chain through IoT, Analytics and Automation

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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Transforming the Customer Relationship Culture in Manufacturing

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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