Five Tips for Finding the Best OT Integration Specialist

JOHN KLAASEN | October 15, 2018

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The industrial internet of things (IIoT) is gaining momentum, as companies in every industry create more connected, intelligent environments. Although the focus is often on the power of connection, the real value of IIoT lies in the rich data analytics that mine those connections to produce actionable insights. An effective IIoT solution smoothly integrates information technology (IT) with operational technology (OT) to make data analysis possible.

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Tout

Tout is the TV network for the Internet. A spin-out from the Stanford Research Institute (SRI International), Tout's Personalized TV Technology is the first patented AI technology that delivers targeted video programming based on who you are and where you are across the web. Tout works with more than 300 leading content producers and over 3,500 publishers to significantly grow online video revenue and drive deeper engagement with consumers.

OTHER ARTICLES

Unlocking the Power of AI

Article | April 16, 2021

At VMworld 2020, NVIDIA and VMware shared their vision to work together to democratize and unleash AI for every enterprise. And that’s the case today as the companies roll out a jointly engineered solution that optimizes the latest update to VMware vSphere 7 — for AI applications with the NVIDIA AI Enterprise software suite on Dell Technologies. The combination of technologies from these world-class companies makes it easier to access a rich menu of accelerated parallel-computing applications, AI frameworks, models and software development kits (SDKs). It gives AI researchers, data scientists and developers the software they need to deliver successful AI projects, while arming IT professionals with the ability to support AI using the tools they’re most familiar with for managing data centers and hybrid cloud environments.

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Gearing up for the Advent of Artificial General Intelligence

Article | December 11, 2020

Intelligence is a much-debated term, with varying connotations to distinct disciplines. Humans have an innate intelligence that is capable of achieving complex, integrative goals through multiple faculties. These faculties involve learning and creativity, deal with ambiguity and uncertainty, critical thinking, strategy and planning, scenario analysis, and more. Humans have an evolutionary mind that is capable of drawing inferences and insights. Creating machines, bots, or capabilities imbued with human-like intelligence has fascinated humans for a long time and has been the subject of active technical effort since John McCarthy coined the term ‘Artificial Intelligence’ (AI). Interest in AI has waxed and waned, with unrealized hype leading to a long AI winter. However, recent advances, such as Hinton’s backpropagation based deep neural networks for ImageNet that match human accuracy for image recognition, have revived hope and optimism for the advent of ‘Artificial General Intelligence’ (AGI). AGI is about emulating or even exceeding, human levels of intelligence. At the moment, it is more of a pipe dream in the realm of sci-fi movies like Terminator. Silicon Valley leaders and scientists like Elon Musk, Bill Gates, and Stephen Hawking have predicted a dystopian, even Frankensteinian, world with recursively- improving technological singularity potentially turning against the humans. Strong Vs. Weak AI Weak or narrow AI is categorized as mimicking a specific human ability to perform a well-defined task. Humans seem to have become pretty good at aspects of narrow AI lately, such as natural language processing (NLP), image recognition, machine translation, and detecting fraudulent credit card transactions. In the words of Andrew Ng, any task that takes a few minutes of human cognition can be automated with supervised machine learning and the help of labeled data. Recent advances in machine and deep learning have upped the ante on weak AI. For example, DeepMind’s AlphaFold can solve the intractable problem of predicting a protein’s folding structure from its amino acid sequence, thereby circumventing years of laborious work. This goes far beyond narrow AI into the gray zone. Strong AI, or artificial general intelligence, can solve present-day ‘AI-hard’ problems that require a complex interplay of human cognitive abilities. For example, understanding the nuances of language is hard, but humans are slowly making strides. Some human skills are multifactorial, such as driving that requires image recognition, fine motor skills, or estimation with a high degree of situational awareness. A point has been reached where a self-driving car with level five autonomy can emulate that with simultaneous localization and mapping (SLAM) while being vulnerable to getting tricked at the same time. Leading voices have articulated several benchmarks for having accomplished AGI, such as: Turing test: If a human and machine are indistinguishable most of the time while conversing with another human. With OpenAI’s GPT-n series, that is probably not far away. A bot or computational system successfully passes grad school. An AGI bot becomes a productive member of society, possibly paying taxes while performing a complex job. Emulating the Human Brain Unraveling the human brain is as enigmatic as solving the mysteries of the cosmos. With approximately 100 billion neurons interconnected through a quadrillion synapses, leading to 100 trillion synaptic updates per second (SUPS), the human brain is inordinately complex to simulate. Other than the interconnectedness of the brain, its evolutionary neurophysiology at the molecular and cellular level requires a level of chemical, physical, and biological understanding that leaves one confounded. How the three-pound mass of mostly fat, protein and water, with neurons firing in a chemical soup, allows cognitive abilities is quite hard to fathom. All the advances in artificial neural networks, IoT sensing, 5G bandwidth, real-time big data, GPUs or TPUs, and storage put together get nowhere close to creating a computational system that has characteristics of sentience, self-awareness, sapience, and consciousness. Some even argue that there can be no human-like intelligence and consciousness without the accompanying embodiment. Challenging as that may be, the advances in narrow AI are quickly adding up, with a bottom-up approach, to an impressive array of well-defined and compartmentalized human abilities. While AGI is the holy grail, the key point is that such pursuits are enabling scientific and technological advances that are the sweet spot of enabling human-in-the-loop technologies that augment humans instead of replacing them. Progress will likely stay in the augmentation zone for the next couple of decades, as Ray Kurzweil’s prediction of AGI comes true by 2045. Others argue that humans may not accomplish AGI in this century at all. But there is little disagreement over the fact that AI is likely to create US$15 trillion of economic value by 2030, with US$6 trillion being attributed to deeplearning alone. Individuals, societies, and businesses have to brace for that impact. How Can Businesses Prepare and Respond to General AI China is leading the AI frontier, as much as due to its lack of regulatory and ethical oversight as to its dogged commitment to winning the AI supremacy race. The US is not far behind whereas other nations occupy different positions on the leaderboard. Expertise in AI is likely to shake up the global economic and geopolitical order in the future world. While individuals grapple with the widespread displacement of world labor markets, enterprises need to sense and respond as well to ensure they thrive in a world replete with AI. Here are some steps they can take to ensure they are not sidelined in a world of sustained disruption and mere transient advantages: #1 Create a vision of yourself in the future world of AGI. Make small bets to preserve strategic options in aspects of your business potentially exposed to general AI. #2 Make big, bold moves on narrow AI for quick wins. This will instill confidence and purpose to respond to general AI as it comes of age. Embrace AI augmentation as opposed to resisting it. #3 Put your digital maturity on the front burner and prioritize digital transformation initiatives. Be a digital leader, not a laggard. #4 Data maturity is a precursor to digital maturity. Invest in advantaged data with internal data or external data from partnerships, acquisitions, or ecosystem orchestration. AI is contingent upon data and algorithmic advances. #5 Democratize technology by expanding it beyond the traditional IT organization of the company. #6 Embrace a digital culture with rapid test-and-learn abilities. Don’t ostracize failure as long as you pivot fast and fail cheaply. #7 Institutionalize innovation incubation. Also, explore open innovation models by partnering with other businesses and institutions. #8 Orchestrate between exploitation and exploration strategies – the former for the here and now and the latter for the future. #9 Deploy a forward-thinking governance framework that can orchestrate across near, mid-, and long-term growth. #10 Deploy your workforce in fluid, agile, self-organizing teams that can ‘flow to the work’.

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MAKING ARTIFICIAL INTELLIGENCE SMARTER LIKE HUMAN BRAIN

Article | March 11, 2020

The latest advancements in Artificial Intelligence have been much tremendous and inspiring. It has become a part of everyday life for almost all consumers. In a large range of domains, the technology has transformed the way humans work and live. From smart home devices like Alexa, Siri, among others to large scale data security and fraud detection, all are inspired by and relied on AI. Despite this, there is still a large gap between current AI systems and human-like intelligence. Over time, the human brain has developed and advanced in order to respond to survival instincts, harness intellectual curiosity, and achieve demands of nature. While the human brain finds innovative ways to exceed its physical capabilities, human scientific pursuit amplified by the amalgamation of mathematics, algorithms, computational methods, and statistical models.

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Spotlight

Tout

Tout is the TV network for the Internet. A spin-out from the Stanford Research Institute (SRI International), Tout's Personalized TV Technology is the first patented AI technology that delivers targeted video programming based on who you are and where you are across the web. Tout works with more than 300 leading content producers and over 3,500 publishers to significantly grow online video revenue and drive deeper engagement with consumers.

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