Mitigating the risks of Intelligent Automation: Bias, worker displacement and more

Intelligent automation offers much promise to companies to drive efficiencies but it is not the panacea. By adopting a responsible framework for the deployment of such systems, companies can ensure that they are not inadvertently causing individual or societal or indeed economic harm to their business.

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Quantum Trends And The Internet of Things

As a new decade approaches, we are in a state of technological flux across many spectrums. One area to take note of is quantum computing. We are starting to evolve beyond classical computing into a new data era called quantum computing. It is envisioned that quantum computing (still in a development stage) will accelerate us into the future by impacting the landscape of artificial intelligence and data analytics. The quantum computing power and speed will help us solve some of the biggest and most complex challenges we face as humans.

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4. No Code Citizen Developers: Digital Transformation Debts post-Covid-19

This is the fourth part of a ten-part series on Digital Transformation Debt. The Covid-19 pandemic is pushing many enterprises to re-consider their digital transformation and modernization initiatives, especially in accelerating the development and deployment of innovative applications. The emergence of Citizen Developers leveraging Low Code/No Code platforms has profound transformative implications both for Enterprises and Startups.

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Practicing Safe Coboting

Like it or not you will be interacting with either physical or software robots soon. A cobot or co-robot (from collaborative robot) is a robot intended to physically interact with humans in a shared workspace. It’s not just the obvious robots to consider. Additionally, there are software bots that can either assist you with knowledge/data mining or actions that eliminate drone work. While there will be initial interfacing issues and learning curves to get by, there are a number of long term issues to consider when interacting with bots.

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So How Goes That AI Spring?

While AI hasn’t reached its full potential or its eventual impact yet, AI is making good progress in many directions simultaneously. Let’s examine some of the progress to date. While I’m sure that AI is adding value, I’m also sure there is more progress that is not visible yet as it is in the labs or being pioneered in several scientific avenues. Let’s look at the value add of AI to date.

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Differentiating with Algorithms: A Case Study

One can't go anywhere today without hearing about AI, but I would say that half of it is around projecting how AI will be affecting our future and the other half is about data focused approaches. While there is nothing wrong about these discussions and articles, most of us are more interested in the results of AI which represents a family of approaches and algorithms in action to apply to business and everyday problems. Even though there are three major approaches to AI

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Turbo Charge AI with Right Brain-Based Reasoning

AI is blossoming, but the real advantage of AI is yet to come. While organizations are mesmerized by the power of AI on left-brained activities of facts, rules, and logic, the big opportunity lies fallow. It's the right-brained activities that help with insight, interpretation, intuition, judgment, and reasoning where the big benefits can be gleaned. The leverage of general policies, creativity, and constraints is not natural in the world of AI today. Because it is difficult today, many pass reasoning and judgment by these days. What if there was a way to deliver right-brained behavior with left-brained activities? There is, but I'll get to that later.

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AI-Assisted Digital Assistants Really Work

Black & Veatch, an employee-owned, global leader in building critical human infrastructure in energy, water, telecommunications, and government services, is on a journey to leverage AI-assisted bots, called virtual experts, to better capture and interact with engineering knowledge and standards. The goal of this emerging effort is to experiment with ways to better capture knowledge and expertise within the company. Ultimately, this initiative would lead to a reduced amount of time required to locate desired information and create an opportunity for continued innovation to better support the future.

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AI & Big Data; Better Together

Big data, unstructured or structured, fast or slow, in multiple contexts or one is a beast to manage. Big data is growing fast fueled by the democratization of data and the IoT environment. Often organizations simply control what they know they get results from and then store the rest for future leverage. In fact, most organizations use less than 20% of their data, leaving the remaining 80%, and the insights it contains, to be left outside to the operational and decision-making processes. Imagine if you used only 20% of any service you paid for every month and ignored the other 80%! This is exactly what we are doing with data. Fortunately, there is hope as this is where Big Data can start to rely on AI and engage in a “cycle of leverage”. Presently, the interaction between AI and Big Data is in the early stages, and organizations are discovering helpful methods, techniques, and technologies to achieve meaningful results. Typically these efforts are neither architected nor managed holistically. Our work has shown there is an emerging “Cycle of Big Data” that we and would like to describe and share with you where we see AI can help.

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Digital Models from Scans Assisting with Industrial Security

If you have not heard of active shooter incidents recently, you have been living under a rock. Imagine what 2D floor plans and 3D models can do to assist these situations. Even without intelligent digital assistants, law enforcement can get a better handle on the structure involved with any particular incident. While these digital models are helpful, they are difficult and time consuming to create. This case study is about the evolving scanning, creation and leverage of visual digital models on a large scale.

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Artificial Intelligence In Humanoid Robots

When people think of Artificial Intelligence (AI), the major image that pops up in their heads is that of a robot gliding around and giving mechanical replies. There are many forms of AI but humanoid robots are one of the most popular forms. They have been depicted in several Hollywood movies and if you are a fan of science fiction, you might have come across a few humanoids. One of the earliest forms of humanoids was created in 1495 by Leonardo Da Vinci. It was an armor suit and it could perform a lot of human functions such as sitting, standing and walking. It even moved as though a real human was inside it.

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The Big RPA Bubble

Robotic Process Automation (RPA). It’s a hot topic among the C-Suite. Where to implement. How to implement. How many headcounts can be saved through robotic implementations? Business leaders want robots – powered by AI – to drive automation into every mundane task people now do … but there’s a lot of misinformation and misunderstanding about what bots can and can’t do for an organization.

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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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