“Blockchain is one of the major tech stories of the past decade,” said a December, 2022 McKinsey article, “What is Blockchain.” “Everyone seems to be talking about it — but beneath the surface chatter there’s not always a clear understanding of what blockchain is or how it works. Despite its reputation for impenetrability, the basic idea behind blockchain is pretty simple,” namely: “Blockchain is a technology that enables the secure sharing of information.”
Read More“Since the 1980s, open source has grown from a grassroots movement to a vital driver of technological and societal innovation,” said “Standing Together on Shared Challenges,” a report published by Linux Foundation Research in December of 2023. “The idea of making software source code freely available for anyone to view, modify, and distribute comprehensively transformed the global software industry. But it also served as a powerful new model for collaboration and innovation in other domains.”
Read MoreSince the advent of the Industrial Revolution, general purpose technologies (GPTs) have been the defining technologies of their times. Their ability to support a large variety of applications can, over time, radically transform economies and social institutions. GPTs have great potential from the outset, but realizing their potential takes large tangible and intangible investments and a fundamental rethinking of firms and industries, including new processes, management structures, business models, and worker training. As a result, realizing the potential of a GPT takes considerable time, often decades. Electricity, the internal combustion engine, computers, and the internet are all examples of historically transformative GPTs.
Read MoreOver the past few decades, powerful AI systems have matched or surpassed human levels of performance in a number of tasks such as image and speech recognition, skin cancer classification, breast cancer detection, and highly complex games like Go. These AI breakthroughs have been based on increasingly powerful and inexpensive computing technologies, innovative deep learning (DL) algorithms, and huge amounts of data on almost any subject. More recently, the advent of large language models (LLMs) is taking AI to the next level. And, for many technologists like me, LLMs and their associated chatbots have introduced us to the fascinating world of human language and cognition.
Read More“Rapidly transforming, but not fully transformed - this is our overarching conclusion on the market, based on the fourth edition of our State of AI in the Enterprise global survey,” said Becoming an AI-fueled organization, the fourth survey conducted by Deloitte since 2017 to assess the adoption of AI across enterprises. “Very few organizations can claim to be completely AI-fueled, but a significant and growing percentage are starting to display the behaviors that can get them there.”
Read MoreIn his 1950 seminal paper, Computing Machinery and Intelligence, Alan Turing proposed what’s famously known as the Turing test, - a test of a machine’s ability to exhibit intelligent behavior indistinguishable from that of a human. If a human at a keyboard couldn’t tell whether they were interacting with a machine or a human, the machine is considered to have passed the Turing test. “Ever since, creating intelligence that matches human intelligence has implicitly or explicitly been the goal of thousands of researchers, engineers and entrepreneurs,” wrote Erik Brynjolfsson, - Stanford professor and Director of the Stanford Digital Economy Lab, - in a recent article, The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence.
Read MoreOver the past decade, powerful AI systems have matched or surpassed human levels of performance in a number of specific tasks such as image and speech recognition, skin cancer classification and breast cancer detection, and highly complex games like Go. These AI breakthroughs have been based on deep learning (DL), a technique loosely based on the network structure of neurons in the human brain that now dominates the field. DL systems acquire knowledge by being trained with millions to billions of texts, images and other data instead of being explicitly programmed.
Read MoreAs the newest branch of the United States armed forces, the United States Space Force is at the innovative edge of applying technology and know-how to newly evolving areas of opportunity and threats. As such, it should come as little surprise that advanced uses of data and artificial intelligence are powering many of the innovative applications.
Read MoreArtificial intelligence has emerged as the defining technology of our era, as transformative over time as the steam engine, electricity, computers, and the Internet. AI technologies are approaching or surpassing human levels of performance in vision, speech recognition, language translation, and other human domains. Machine learning (ML) advances, like deep learning, have played a central role in AI’s recent achievements, giving computers the ability to be trained by ingesting and analyzing large amounts of data instead of being explicitly programmed.
Read MoreIn the age of innovation, as a topic of our future of work, we often envision remote work as an idealist scenario where you can achieve the ultimate work-life balance. Realistically, remote work is a conversation that needs to be explored in-depth, practiced over time and embraced by each individual of an organization.
Read MoreWhether your organization has an extensive cybersecurity initiative in the event of a crisis such as this pandemic or not, there are things that you can do now that your employees are working remotely.
You can use this opportunity to increase cybersecurity awareness across your organization.
Read MoreThis article is the sixth part of a ten-part series on Digital Transformation Debt, post-Covid-19. Design Thinking can be leveraged both by startups for faster and more successful Minimum Viable Products or incumbent enterprises on their transformation journeys. Design Thinking Methodology, as described here, incorporates the Design Sprint followed by Minimum Viable Product (MVP) development using Low Code/No Code platforms. This article is relevant especially for innovation with a startup culture for organizations of all sizes that shows how Design Thinking, Design Sprint and Low Code/No Code culminate in viable innovative products and solutions.
Read MoreDecentralization and its impact on organizations as well as business transactions came through loud and clear throughout the conference. Examples of pragmatic applications with disintermediated interactions spanned healthcare, financial services, sports, education, government, non-profit, beauty, industrial applications and many more. A number of presenters emphasized the new era of decentralization with an ideology that empowers communities vs. centralized greedy brokers.
Read MoreThe impact on Organizational Culture is one of the most fascinating realities of the digital era. Digital technologies, including Blockchain, are just enablers of cultural trends that are transforming all demographics at an accelerated rate. Culture is always more important and impactful than pure digital technologies, as impressive as the latter are. The potential cultural impacts on individuals as well as organizations are tremendous. In order to succeed and innovate with digitization, transformation best practices should challenge long established cultural norms.
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