Beyond Art Galleries: The Business MoSAIC

As Jim Sinur and I wrote in the book Digital Transformation, A Brief Guide for Game Changers, “Similar to viewing an exceptional art mosaic, observing any of the environmental forces or enabling capabilities in isolation prevents one from recognizing the broader fundamentals in play. The entire picture does not emerge until the viewer steps back and embraces the ‘ah-ha’ moment of the overall mosaic, one in which the powerful message is revealed through the inter-related elements operating in concert.” For example, squint and peek through your eyelashes and see who the famous president is in this mosaic portrait by Salvador Dali.

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Emerging Tech Impacting The Security Industry

Emerging technologies are already impacting how we live and work. They're also changing how we approach, plan, and integrate security operations. With the advent of artificial intelligence, robotics, quantum computing, the Internet of Things, augmented reality, materials science, 3-D printing, and data analytics, the security industry is being transformed.

Certainly, we are living in an era where innovation, agility and imagination are all essential in order to keep pace with the exponential technological transformation taking place. For security, both physical and cyber, the equation is the same catalyzing many new potential applications for emerging technologies.

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Is AI Data Driven, Algorithm Driven, or Process Driven?

There are those that think that data is the oil of AI and the focus should be clean data, data science and deep understanding of what the data means. There are those that say data is meaningless without context that can be with other data, models/algorithms or processes. Let’s explore the arguments in a concise fashion to discover the advantage of each view.

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Four Emerging Technology Areas That Will Help Define Our World In 2019

2018 was surely a transformative year for technological innovation. We saw early development of ambient computing, quantum teleportation, cloaks of invisibility, genomics advancements and even robocops. Granted we're not flying around in our own cars like the Jetsons did yet, but we're closer. In 2019 we will continue on the transformation path and expand even more into adopting cutting edge immersive technologies. What's ahead for the coming year? I envision four emerging technology areas that will significantly impact our lives in 2019.

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AI At The Edge: Creating Coordinated Autonomy

Today organizations have to deal with so many emergent behaviors that the notion of central control as the only coping mechanism seems to be receding as a dominant management model. Freedom must be doled out further from the centrist idea by creating goals, constraints, boundaries and allowable edge behaviors. Someday software and hardware agents will negotiate their contribution to business outcomes on their own, but until then organizations will have to prepare themselves by managing coordinated autonomy.

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3. Automation: Digital Transformation Debts post-Covid-19

This is the third part of a ten-part series on Digital Transformation Debt, post-Covid-19. The Covid-19 pandemic is pushing many enterprises to re-consider their digital transformation and modernization initiatives, especially for Automation. The article covers all aspects of automation: RPA, AI-Assisted, and Cognitive Work. It also highlights robust Automation Strategies for a post-Covid-19 Automation roadmap.

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2. Operational Excellence & VSaaS: Digital Transformation Debts post-Covid-19

This is the 2nd article in the post-Covid-19 Digital Transformation Debts series. Organizations are now facing tremendous challenges to cut costs – becoming lean – while delivering high-quality products and services. These are incredibly challenging times.

Value Stream digitization and automation in the post-Covid-19 era have two salient showcases: (1) Operational Excellence especially for customer service and the associated intra-Enterprise processes; (2) Inter-Enterprise Collaboration through Value-Stream-As-A-Service.

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1. Culture: Digital Transformation Debts post-Covid-19

The impact of the Covid-19 lockdown of businesses and government will be felt for many years to come. It is causing mega-cultural trends that are already changing us. We might not be feeling it or appreciating the shifts that are happening. It is too close to home and we are in the midst of it. But it is happening, and it is very real. This is the first of a 10 part series on Digital Transformation Debt - post-Covid-19. It is the most important one, as it covers Culture.

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Intelligent Process Automation of Things (IPAoT)

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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Towards the Deployment of Safe Autonomous Systems

Autonomous systems are coming online in many contexts: vehicles, drones, weapons, industrial robotics, and financial services to name just a few. Many have their own policy stakeholders and regulations, but thousands of startup companies are releasing multi-use technologies without clear guidelines. In this article, Intel AI Senior Director Abigail Hing Wen lays out a general regulatory framework for deploying automated systems safely.

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Data Science: Earning Trust in Public Policy

As states, counties, and cities around the country struggle to find ways to combat COVID, a holistic approach is required to ensure that all communities are being properly monitored for the spread of the disease and that data that is being used to inform public policy is timely, relevant and maintains the privacy of people. This article details how Data Science, Education, and extreme collaboration should be used together as part of this holistic approach to create better and more trusted public policy for all.

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A Cyberneticist View on Humanitarian AI Today

Viewing the world from a cybernetic perspective encourages you to think of informational pathways from human to machine and back again. The idea is to extract as much information from as many sources as possible.

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Contextual AI vs. Keywords, Intelligence for Trust and Safety

AI is as good as the data gets, and it is as critical as the problem it's solving. Most solutions for content moderation on platforms today are based on Keywords -- looking for specific words by exact match within a single message. Yet, if you’re on a dating app where messages are typically personal and intimate, how would you determine a message is a flirting text versus a sexual assault? Or, on a freelancing marketplace, how would you take right action over platform circumvention between a genuine contract offer after repeating transactions versus true bad actors trying to go offline to avoid platform fees?

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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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