The entrepreneurial disruption phase of "move fast and break things" is being replaced with a mantra of "move fast and keep up" when it comes to applying ethical frameworks and leading practices to emerging technologies, according to a new study by Deloitte. The firm's first-ever State of Ethics and Trust in Technology annual report defines emerging technologies, identifies trustworthy and ethical standards, explains different approaches to operationalizing standards, and encourages actions that can be taken in the short term. Many companies want to be on the cutting edge of emerging technologies to stay competitive and gain benefits such as improved customer experience, operational efficiencies and newly-enabled use cases, according to Deloitte. "But these technologies are often being developed at such breakneck speeds that few companies are pausing to consider the ethical implications,'' the report noted. "With great power comes great responsibility.

Check out all the on-demand sessions from the Intelligent Security Summit here. The metaverse is becoming one of the hottest topics not only in technology but in the social and economic spheres. Tech giants and startups alike are already working on creating services for this new digital reality. The metaverse is slowly evolving into a mainstream virtual world where you can work, learn, shop, be entertained and interact with others in ways never before possible. Gartner recently listed the metaverse as one of the top strategic technology trends for 2023, and predicts that by 2026, 25% of the population will spend at least one hour a day there for work, shopping, education, social activities and/or entertainment.

It all looks our Reality, as it is, with its Grand Pandemic 2019-2025, the worst game ever... As its replacement, the Metaverse is coming, as Meta-physics Universe, transcending and transforming the universe. As with the pandemic, digital technologies change in [decade] waves. The 1980's was the PC wave, The next [last] wave will be the metaverse or transverse or omniverse. The waves come on each other.

Even pop legends are not immune to the ongoing digitization of every aspect of life and society. Recently it was announced that Abba fans would get to experience the Swedish supergroup in their prime, as their "Abba-tars" take to the stage in London next year. The quartet spent five weeks with A/V wizards at Industrial Light and Magic, who have used advanced motion capture techniques to create virtual copies of the band that behave accurately in every way, from their dancing to their eye movements. Artificial intelligence (AI) routines were then used to "de-age" the performers, similarly to how it has been done in movies such as Star Wars and Martin Scorsese's The Irishman. Recently we have heard a lot about the metaverse – the concept of a persistent, digital reality where we can share experiences or work collaboratively within virtual environments.

Human intelligence has been creating and maintaining complex systems since the beginnings of civilizations. In modern times, digital twins have emerged to aid operations of complex systems, as well as improve design and production. Artificial intelligence (AI) and extended reality (XR) – including augmented reality (AR) and virtual reality (VR) – have emerged as tools that can help manage operations for complex systems. Digital twins can be enhanced with AI and emerging user interface (UI) technologies like XR can improve people's abilities to manage complex systems via digital twins. Digital twins can marry human and AI to produce something far greater by creating a usable representation of complex systems. End users do not need to worry about the formulas that go into machine learning (ML), predictive modeling and artificially intelligent systems, but also can capitalize on their power as an extension of their own knowledge and abilities. Digital twins combined with AR, VR and related technologies provide a framework to overlay intelligent decision making into day-to-day operations, as shown in Figure 1. Figure 1: A digital twin can be enhanced with artificial intelligence (AI) and intelligent realities user interfaces, such as extended reality (XR), which includes augmented reality (AR) and virtual reality (VR). The operations of a physical twin can be digitized by sensors, cameras and other such devices, but those digital streams are not the only sources of data that can feed the digital twin. In addition to streaming data, accumulated historical data can inform a digital twin. Relevant data could include data not generated from the asset itself, such as weather and business cycle data. Also, computer-aided design (CAD) drawings and other documentation can help the digital twin provide context.

"Okay, Houston, we've had a problem here."1 The now famous words were transmitted through space down to Houston after the Apollo 13 crew attempted to stir the cryogenic oxygen tanks. The otherwise-standard procedure caused a series of electrical shorts and subsequent problems, leaving the command module unable to generate power, provide oxygen, or produce water. Bounded by space thousands of miles from Earth, the situation was dire for the Apollo 13 crew. NASA engineers on the ground had very little information. The crew shared their observations, and the spacecraft was transmitting some data, but these inputs didn't give engineers on the ground a perfect picture. To better understand what had happened and what consequences the crew faced, the NASA team in Houston used a mirrored system of the Apollo 13 spacecraft, allowing them to duplicate the situation as accurately as possible.

More than a third of transport and logistics executives believe that robotic process automation (RPA) will bring about the biggest change in their industry in the next decade. Almost a quarter (24%) expect that artificial intelligence (AI) will fundamentally change the transport and logistics sector. The survey of 100 transport and logistics executives for co-location company Digital Reality found that nine in 10 respondents (91%) are continually looking to increase their investment in their data infrastructure. More than a fifth (22%) are reserving between £10m and £50m of their budget for innovation and progression of data connectivity. Automation (70%), freight technology (60%) and real-time understanding of transport systems (58%) are the areas with the greatest potential to transform the industry, according to the survey.

For many years the human species has desired for immortality and humans have never stopped to look for a way to defeat death. Physically beating death is not possible but with the help of artificial intelligence algorithm that copies and preserves human decision making patterns, attitudes, psychology after death immortality is now be achieved. BeANKH is a blockchain platform that uses the power of artificial intelligence algorithms and smart contracts a person's digital analog by copying unique thinking patterns, psychology, and attitudes to come up with the future behavior of the analog that will continue to function even after a person dies physically. The initial idea conceptualized in 2015 with a platform uses BeANKH tokens that are available for purchase by supporters of the platform and crypto community members. They are utility tokens that are used to make in-app purchases in a BeANKH environment.

Rather than exploring emerging technology domains in isolation, CIOs can orchestrate the convergence of powerful new capabilities to uncover business opportunities and achieve strategic and operational goals. "An orchestra full of stars," the renowned German conductor Kurt Masur said, "can be a disaster." It turns out the same can be true of an enterprise full of emerging technology capabilities developed and pursued independently. In our ninth annual Tech Trends report, "The Symphonic Enterprise," we look at how strategy, technology, and operations trends can work together in harmony across domains and boundaries in the coming year. Without a doubt, there is more than one next big thing in enterprise technology.

Incumbents should consider partnerships and find new value-added services. For a long time, insurance proved resistant to digital technology's disruptive power. Complex regulation, the capital reserves required to underwrite insurance, and underwriting skills and proprietary data built on years of experience kept the industry protected. But these barriers are rapidly eroding. For the most part, the main threat is not from insurtechs, the nimble new tech start-ups that have thus far focused on property-and-casualty (P&C) insurance, as well as marketing and distribution, and into which venture capitalists have poured $4.4 billion in the past two years.