According to CISA, “the working group will serve as an important mechanism to improve the security and resilience of commercial space systems. It will identify and offer solutions to areas that need improvement in both the government and private sectors and will develop recommendations to effectively manage risk to space based assets and critical functions.” See CISA Launches a Space Systems Critical Infrastructure Working Group | CISA
Read MoreAI will be the gem of digital going forward for a long time. It is a co-driver of smarts in both automation and customer excellence efforts along with static algorithms. AI can learn, handle fuzzy problems, and help with increasing the probability of success in decisions, assist humans in interacting with traditional rule-based organizational systems and reaching shifting goals. There are five facets of AI that are shining bright now and for the future. There could be more down the road as AI progresses over time, but these are the top five right now.
Read MoreOn 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.
Like it or not we are all going to get inundated by AI, Robotics and Automation opportunities. As organizations or individuals, we will have to decide how we are going to respond. Since we can no longer count on AI going back into another “AI Winter” because it is not going away. We will have to decide on AI as a trend and each AI encounter we will be facing. Our choices on AI will either make us win or lose in the short term and the long run. What are the responses to AI we can exercise?
Read MoreWhile 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.
Read MoreBlack & 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.
Read MoreBig 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.
Read MoreAutonomous 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.
Read MoreViewing 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.
Read MoreMany 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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